# Best AutoScout24 Scrapers 2026 [No-Code + API Edition]

> I tested multiple AutoScout24 scrapers and ranked the top 4 on 1,000 listings. blackfalcondata won on condition data and tracking; 3x1t was faster and cheaper.

- **Author**: Nathan Eshetu
- **Published**: 2026-09-16 (16 Sept 2026)
- **Reading time**: 31 min
- **Canonical**: https://www.lobstr.io/blog/best-autoscout24-scrapers
- **Also in**: de: https://www.lobstr.io/de/blog/beste-autoscout24-scraper, fr: https://www.lobstr.io/fr/blog/meilleurs-scrapers-autoscout24

---

> **Apify's blackfalcondata is the best AutoScout24 scraper in this test at 8.70/10.** It has strong condition/history data and the best recurring-monitoring workflow here. It tracks new, updated, expired, and reposted listings. **Apify's 3x1t ranks second at 8.26/10.** It's better for fast one-off collection at 998 listings/min. It also goes deeper on dealer and price-position data.

---

## ⚡ 30-Second Summary

* I tested four AutoScout24 scrapers on the same **1,000-listing Peugeot 208 search**, then compared their data, cost, usability, speed, scalability, and support.
* **blackfalcondata ranks first at 8.70/10.** It has strong condition/history data and the best change tracking here. But larger enriched runs were incomplete in testing.
* **3x1t ranks second at 8.26/10.** It has the strongest dealer and price-position data. It's also the fastest comparable scraper at **998 listings/min**. But larger runs often finished incomplete.
* **lobstr.io ranks third at 7.12/10.** It stands out for its managed workflow and company-level support. But Detailed mode is slow and costs **$4/1K** at scale.
* **ivanvs ranks fourth at 6.32/10.** Its **71-point dataset** stands out for organized equipment data. But it costs **$2.70/1K** at scale and struggles with larger runs.

---

AutoScout24 has plenty of scrapers.

Most of them look fine until you start comparing what they actually give you.

**And that's the annoying part**... you probably don't have time to run the same search through every tool just to see which one is actually useful.

![Reddit thread asking which AutoScout24 scraper actually works](https://d37gzvgyugjozl.cloudfront.net/Screenshot_2026_09_06_at_4_56_09_PM_76979c8825.png "width=1264;height=418")

So I did that part.

I ran the main ready-made options side by side and compared what came back, how fast they were, what they cost, and where each one started to fall short.

---

## Comparison table

| Criteria | Apify — blackfalcondata | Apify — 3x1t | lobstr.io | Apify — ivanvs |
|---|---|---|---|---|
| **User rating** | 5.0/5 (2 reviews) | 5.0/5 (3 reviews) | **5.0/5 (33 reviews)** | 4.8/5 (5 reviews) |
| **Useful data points, richest mode** | 74 | **80** | 49 | 71 |
| **Strongest data edge** | **Condition/history** | **Dealer data + price bands** | Vehicle-first core data | **Organized equipment** |
| **Verified publication date** | ✅ 100% | ✅ 100% | ❌ | ❌ |
| **Dealer / seller contact depth** | Phone, max 1 | **Email 92% + up to 3 phones** | Phone, max 1 | Up to 3 phones |
| **Recurring change tracking** | **✅ Full incremental tracking** | ❌ | ⚠️ `fetch_since` | ❌ |
| **Search input** | **Search URL + structured filters** | Search URL | Search URL | Search URL |
| **Default speed** | 130/min | **998/min** | 70/min | 93/min |
| **Richest-mode speed** | 130/min | **166/min** | ~40/min | 93/min |
| **Base-mode cost /1K, entry → scale** | $0.82 → $0.82 | **$0.79 → $0.49** | $2.00 → $0.50 | $3.50 → $2.70 |
| **Richest-mode cost /1K, entry → scale** | Same rate ($0.82 → $0.82) | Same rate ($0.79 → $0.49) | $10.00 → $4.00 | Same single mode |
| **Export formats** | CSV, JSON, XLSX, XML, JSONL | CSV, JSON, XLSX, XML, JSONL | CSV, JSON, XLSX, JSONL | CSV, JSON, XLSX, XML, JSONL |
| **Programmatic access** | API + SDK + CLI + MCP | API + SDK + CLI + MCP | API + SDK + CLI + MCP | API + SDK + CLI + MCP |
| **Support** | Developer: Apify Issues | Developer: Issues + email | **Company: live chat + email** | Developer: Issues + email |
| **Overall** | **8.70/10** | **8.26/10** | **7.12/10** | **6.32/10** |

---

## Just tell me which one

| **If you want...** | **Go with** | **Why** |
|---|---|---|
| **Best overall** | **blackfalcondata** | 74-point enriched data, **$0.82/1K**, verified publication dates + incremental tracking |
| **Recurring market monitoring** | **blackfalcondata** | Tracks **new, updated, expired, reposted, and unchanged** listings |
| **Fast collection with lots of data** | **3x1t** | **72 data points in ~60 seconds**; Full mode adds 8 dealer fields |
| **The cheapest rich dataset at scale** | **3x1t** | Full mode costs just **$0.49/1K** with no enrichment premium |
| **Dealer outreach** | **3x1t** | **92% seller email** + up to three phone numbers |
| **Price-position analysis** | **3x1t** | Full AutoScout24 price-band thresholds at ~98% fill |
| **The least cleanup** | **lobstr.io** | Cleanest, flattest export of the four |
| **A managed no-code workflow** | **lobstr.io** | Scheduling, delivery, integrations + **live chat and email support** |
| **Organized equipment analysis** | **ivanvs** | Full equipment list split into `Safety`, `Comfort`, `Media`, and `Extras` |

---

> ⚠️ **Disclaimer**
>
> This is general information based on publicly available EU guidance, not legal advice.
>
> Laws and their application vary by location and use case. Consult a qualified legal professional before collecting or commercially using AutoScout24 data.

## Is it legal to scrape AutoScout24?

**It depends on what you collect and how you use it.**

Scraping publicly accessible listings is not automatically lawful or unlawful. Personal data, database rights, copyright, access methods, and the intended use can all affect the [legal position](https://commission.europa.eu/law/law-topic/data-protection/information-business-and-organisations/principles-gdpr_en).

![European Commission guidance on lawful processing, purpose limitation, and data minimisation under the GDPR](https://d37gzvgyugjozl.cloudfront.net/Screenshot_2026_09_15_at_6_24_24_AM_c5d4ebc154.png "width=2708;height=1414")

Seller information may qualify as personal data under the GDPR. Reproducing or commercializing a substantial portion of the listings may also raise copyright or database-right concerns.

**To reduce risk:**

* Collect only publicly accessible listing data
* Do not bypass logins or access restrictions
* Collect only the personal data you genuinely need
* Keep request volumes reasonable
* Do not recreate, republish, or resell the listings database without permission

For a deeper breakdown, see the [legal series](https://www.lobstr.io/blog/category/legal).

👉 [Is data scraping illegal?](https://www.lobstr.io/blog/data-scraping-illegal)

## How I chose the best AutoScout24 scrapers

I started with Google, Reddit, developer discussions, review sites, and AI recommendations to build the initial longlist.

![Longlist of AutoScout24 scraping tools considered before testing](https://d37gzvgyugjozl.cloudfront.net/2026_09_06_11_41_06_dd02be9785.gif)

I then narrowed it to ready-made tools that return **structured AutoScout24 vehicle data** and support automated or repeated collection.

I excluded:

* **Browser extensions**... better suited to manual one-off exports
* **Abandoned tools**... maintenance matters when the target site changes
* **General-purpose scraping APIs**... page fetching is handled, but vehicle parsing and schema design are still your job

### How I tested

Every ranked tool received the same target:

> **1,000 Peugeot 208 listings in France, registered from 2020 onward, with no more than 100,000 km.**

The source search contained **1,242 listings** when the benchmark was created.

![The AutoScout24 search used for the benchmark: Peugeot 208 in France, registered from 2020, under 100,000 km](https://d37gzvgyugjozl.cloudfront.net/Screenshot_2026_08_27_at_6_07_09_AM_25efd4c4c6.png "width=2566;height=1490")

I evaluated each tool on **data, cost, usability, speed, scalability, and customer support.**

### Data

I counted **useful concepts rather than raw columns**, so flattened image or phone arrays did not inflate a tool's dataset.

I compared **field coverage, fill rate, and depth**, including vehicle, pricing, history, seller, equipment, images, and contact data. Where a scraper offered multiple modes, I compared what each mode actually added or removed.

![Data scores across the four ranked AutoScout24 scrapers](https://d37gzvgyugjozl.cloudfront.net/autoscout_data_score_22dd872d55.png "width=1779;height=860")

### Cost

I compared published **entry and scale pricing**, normalized to **cost per 1,000 listings**, while also considering pricing predictability.

![Cost per 1,000 listings at scale across the four ranked scrapers](https://d37gzvgyugjozl.cloudfront.net/autoscout_cost_at_scale_58e5cffc08.png "width=1779;height=950")

### Usability

I compared **setup, inputs, controls, bulk handling, exports, delivery, integrations, and scheduling.**

### Speed

I timed the same **1,000-listing workload** at each scraper's default configuration, testing meaningful faster or richer modes separately.

I also checked memory or concurrency headroom, but kept shorter scaling tests separate from the confirmed benchmark rate.

![Collection rate in listings per minute in each scraper's richest mode](https://d37gzvgyugjozl.cloudfront.net/autoscout_speed_richest_mode_c089a32466.png "width=1780;height=860")

### Scalability

AutoScout24 exposes about **4,000 results per search**, so I focused on how well each scraper handles larger and repeated workloads.

That included **workload limits and batching, memory/concurrency headroom, and recurring collection, deduplication, failures, and recovery.**

![Scalability scores across the four ranked scrapers](https://d37gzvgyugjozl.cloudfront.net/autoscout_scalability_score_15b8615e45.png "width=1779;height=860")

### Support

I checked **support access, documentation, public issue history, reviews, and evidence of resolved problems.** Ratings alone were not treated as support evidence.

![Capterra reviews mentioning fast replies and resolved issues](https://d37gzvgyugjozl.cloudfront.net/image1_512e7888cb.png "width=1297;height=596")

### How the scores landed

Each criterion is scored from **0 to 10** based on the benchmark evidence above.

| **Criterion (weight)** | **blackfalcondata** | **3x1t** | **lobstr.io** | **ivanvs** |
|---|---|---|---|---|
| Data (2.2) | **9** | **9** | 7 | 8 |
| Cost (2.2) | 9 | **10** | 7 | 5 |
| Usability (1.8) | **10** | 6 | 9 | 7 |
| Speed (1.8) | 8 | **10** | 4 | 5 |
| Scalability (1.0) | **8** | 7 | 7 | 5 |
| Support (1.0) | 7 | 5 | **10** | 8 |
| **Weighted overall /10** | **8.70** | **8.26** | **7.12** | **6.32** |
| **Rank** | **#1** | **#2** | **#3** | **#4** |

![Weighted overall scores: blackfalcondata 8.70, 3x1t 8.26, lobstr.io 7.12, ivanvs 6.32](https://d37gzvgyugjozl.cloudfront.net/autoscout_score_summary_f117060866.png "width=2279;height=1124")

**Overall = Σ(score × weight) ÷ 10**, so blackfalcondata lands at **8.70**.

The scores summarize the testing, but a lower-ranked scraper can still be better for a specific use case.

Here's what each tool actually does well, and where it falls short.

## The best AutoScout24 scrapers

> **Why these Apify Actors?** With no official AutoScout24 Actor, I filtered the marketplace by relevance, popularity and monthly users, then tested the strongest candidates.

| Criteria | Apify — blackfalcondata | Apify — 3x1t | lobstr.io | Apify — ivanvs |
|---|---|---|---|---|
| **User rating** | 5.0/5 (2 reviews) | 5.0/5 (3 reviews) | **5.0/5 (33 reviews)** | 4.8/5 (5 reviews) |
| **Useful data points, richest mode** | 74 | **80** | 49 | 71 |
| **Strongest data edge** | **Condition/history** | **Dealer data + price bands** | Vehicle-first core data | **Organized equipment** |
| **Verified publication date** | ✅ 100% | ✅ 100% | ❌ | ❌ |
| **Dealer / seller contact depth** | Phone, max 1 | **Email 92% + up to 3 phones** | Phone, max 1 | Up to 3 phones |
| **Recurring change tracking** | **✅ Full incremental tracking** | ❌ | ⚠️ `fetch_since` | ❌ |
| **Search input** | **Search URL + structured filters** | Search URL | Search URL | Search URL |
| **Default speed** | 130/min | **998/min** | 70/min | 93/min |
| **Richest-mode speed** | 130/min | **166/min** | ~40/min | 93/min |
| **Base-mode cost /1K, entry → scale** | $0.82 → $0.82 | **$0.79 → $0.49** | $2.00 → $0.50 | $3.50 → $2.70 |
| **Richest-mode cost /1K, entry → scale** | Same rate ($0.82 → $0.82) | Same rate ($0.79 → $0.49) | $10.00 → $4.00 | Same single mode |
| **Export formats** | CSV, JSON, XLSX, XML, JSONL | CSV, JSON, XLSX, XML, JSONL | CSV, JSON, XLSX, JSONL | CSV, JSON, XLSX, XML, JSONL |
| **Programmatic access** | API + SDK + CLI + MCP | API + SDK + CLI + MCP | API + SDK + CLI + MCP | API + SDK + CLI + MCP |
| **Support** | Developer: Apify Issues | Developer: Issues + email | **Company: live chat + email** | Developer: Issues + email |
| **Overall** | **8.70/10** | **8.26/10** | **7.12/10** | **6.32/10** |

---

### 1. Apify — blackfalcondata/autoscout24-scraper

* **User rating:** 5.0/5 from 2 [Apify store](https://apify.com/blackfalcondata/autoscout24-scraper/reviews) reviews, as of September 5, 2026
* **My rating:** **8.70/10**
* **Type:** Apify marketplace Actor
* **Pricing:** **$0.82/1K**... flat rate

| **Pillar** | **Score /10** |
|---|---|
| Data | 9 |
| Cost | 9 |
| Usability | 10 |
| Speed | 8 |
| Scalability | 8 |
| Support | 7 |
| **Overall** | **8.70** |

[blackfalcondata/autoscout24-scraper](https://apify.com/blackfalcondata/autoscout24-scraper) is a ready-made Apify Actor for collecting structured vehicle listings from AutoScout24. It can scrape from an existing search URL or built-in filters, with optional detail enrichment.

![blackfalcondata AutoScout24 Scraper page on the Apify Store](https://d37gzvgyugjozl.cloudfront.net/Screenshot_2026_09_06_at_11_46_58_AM_4176eb16b8.png "width=2728;height=1212")

| Pros | Cons |
|---|---|
| **Best recurring workflow**... tracks new, updated, unchanged, expired, and reposted listings | Accident flag was populated, but every observed value was `false` |
| Verified publication date at **100%**, plus price evaluation and VAT data | `hasServiceHistory` = `false` is not trustworthy as a negative signal |
| Search URL or structured filters | Large enriched runs were still incomplete at **1 GB** |
| Built for **multi-market collection** | Support depends on the actor developer |
| Same **~$0.82/1K** rate with or without detail enrichment | |

#### Data

blackfalcondata returns **74 useful data points** with `includeDetails` enabled.

| **Category** | **Base mode** | **Enriched mode adds** |
|---|---|---|
| 🚗 Vehicle | Make, model, trim/version, variant, condition | Body type, model code, country version |
| 💰 Price | Price, currency, EUR-normalized price, FX date, price evaluation | VAT deductibility, negotiable flag |
| ⚙️ Specs | Mileage, registration, fuel, transmission | Power, displacement, cylinders, drivetrain, doors, seats, consumption, CO₂, emissions |
| 🧾 History | Vehicle condition | Previous owners, inspection, service history, accident flag, non-smoker |
| 🎨 Appearance | — | Exterior colour, manufacturer colour, paint, upholstery |
| 🧰 Equipment | — | Equipment list |
| 🖼️ Content | Images | Description |
| 🧑 Seller | Seller type, name, phone, contact name | Dealer URL, rating, rating count |
| 📍 Location | City, postal code, country | GPS coordinates |
| 🕘 Dates | Scrape timestamp | **Listing publication date** |

Base mode still returns **33 populated data points**, with most core listing fields essentially complete. `Trim` reached 99.9% and `Transmission` 100%, while price evaluation, vehicle condition, normalized EUR price, and FX date reached **100%**.

Enrichment adds the more distinctive fields:

| **Concept** | **Fill** | **Why it matters** |
|---|---|---|
| Publication date | **100%** | Listing-age analysis |
| VAT deductibility | **100%** | B2B pricing |
| Equipment | **96%** | Feature analysis |
| Service history | **97%** | Vehicle history |
| Accident flag | **96%** | Condition analysis |
| Non-smoker | **97%** | Condition detail |
| GPS coordinates | **100%** | Geographic analysis |
| Dealer ratings | **65%** | Seller evaluation |

Pricing data is particularly useful for multi-market analysis: `priceEvaluation` was complete, while normalized **EUR price + FX date** provides a common price field across countries. It mattered less in this France-only benchmark, where listings were already in euros.

Two condition fields need caution.

`hasServiceHistory` was populated on **97.3%** of listings, but `false` should not be read as "no service history." Among **43 matched listings** where ivanvs returned a last-service date, blackfalcondata returned `true` on only **10**.

`hadAccident` was populated on **96.4%** of listings, but every populated value was `false`. Without a confirmed accident listing, I could not verify its detection reliability.

Elsewhere, blackfalcondata averaged roughly **15 images** and **28 equipment items per listing**, similar to the other detailed outputs. It generally returned **one phone number per listing**, while 3x1t and ivanvs can return up to three.

#### Cost

blackfalcondata costs **$0.80 per 1,000 results + $0.005 per run**, with no actor-specific pricing tiers.

![blackfalcondata pay-per-event pricing: $0.005 per run start plus $0.0008 per result](https://d37gzvgyugjozl.cloudfront.net/Screenshot_2026_09_06_at_11_49_02_AM_5b978fe31a.png "width=2512;height=1202")

* Free tier: **$5 in monthly Apify credits**
* Cost: **$0.80 per 1,000 results**
* Volume discount: **None**

My 1,000-listing benchmark cost **$0.8212 total**, including **$0.0162 in Apify platform usage**. At larger volumes, the $0.005 run fee has little effect.

#### Usability

blackfalcondata gives you two ways to start: paste an **AutoScout24 search URL**, or build the search inside the Actor using filters for make, model, country, price, year, mileage, fuel, transmission, body type, condition, and location.

![blackfalcondata structured search filters: make, model, country, price, year, mileage, fuel, transmission, body type and condition](https://d37gzvgyugjozl.cloudfront.net/2026_09_05_07_47_48_fc83ee5121.gif "width=1692;height=802")

It supports **nine AutoScout24 markets**, and you can collect multiple countries into the same dataset.

The main choice is between **Full Details and Lite mode**. Full Details adds the enriched listing data, while Lite mode gives up some of that data for much faster collection. You can also control the output format, description length, empty fields, and result limits.

![blackfalcondata enrichment and change-tracking toggles, including Include Full Details](https://d37gzvgyugjozl.cloudfront.net/2026_09_06_12_06_58_372caa9989.gif)

The more interesting feature is **change tracking**. Incremental Mode can track listings between runs, with controls for skipping reposts and returning **new, changed, unchanged, or expired listings**.

![Incremental Mode, Skip Reposts, Emit Unchanged Listings and Emit Expired Listings settings](https://d37gzvgyugjozl.cloudfront.net/Screenshot_2026_09_05_at_7_50_35_AM_e33e71245a.png "width=1686;height=1278")

That makes recurring collection much more useful. Instead of downloading the same listings every time, you can focus on **what actually changed**.

Results export through Apify as **CSV, Excel, JSON, JSONL, or XML**. blackfalcondata can also send results directly to **Telegram, Discord, Slack, WhatsApp, or a webhook**.

![Built-in delivery controls for Telegram, Discord, Slack, WhatsApp and generic webhooks](https://d37gzvgyugjozl.cloudfront.net/2026_09_05_08_20_40_02b903fe9a.gif)

Notifications can be limited to **new or updated listings**. You also get Apify's **API, webhooks, Make, Zapier, and n8n** integrations.

![Sending blackfalcondata results into connected apps from the actor configuration](https://d37gzvgyugjozl.cloudfront.net/Screenshot_2026_09_05_at_8_22_15_AM_5e1e3cf91c.png "width=1640;height=618")

Recurring runs can be scheduled through Apify. Combined with Incremental Mode, this gives blackfalcondata the **strongest change-tracking workflow in this comparison**.

#### Speed

With `includeDetails` enabled, blackfalcondata completed the **1,000-listing benchmark in 7 minutes 41 seconds** at **256 MB**, or roughly **130 listings/min**.

![blackfalcondata run: 1,000 enriched listings in 7 minutes 41 seconds at 256 MB](https://d37gzvgyugjozl.cloudfront.net/Screenshot_2026_09_04_at_10_13_02_AM_fc40df3df7.png "width=2338;height=912")

With `includeDetails` off, the same job finished in **10.1 seconds**, or roughly **5,940 listings/min**. That's the fastest raw rate I measured.

The trade-off is data depth: output falls from **74 populated data points to 33**, so **5,940/min is a Lite-mode result**, not a like-for-like replacement for the enriched benchmark.

I also tested enriched mode at **1 GB memory** on 500 listings.

![blackfalcondata run: 500 enriched listings in 59.35 seconds at 1 GB](https://d37gzvgyugjozl.cloudfront.net/Screenshot_2026_09_04_at_10_14_02_AM_99209877cb.png "width=2338;height=912")

It finished in **59.35 seconds**, roughly **506 listings/min**. That suggests more speed headroom, but because this was a 500-result test, I treat **506/min as directional rather than confirmed throughput**.

#### Scalability

The default **256 MB** configuration struggled with larger enriched runs.

In my 4,000-result test, it ran for **43 minutes 55 seconds** and returned **500 listings** before stopping.

![blackfalcondata 4,000-result attempt at 256 MB: stopped after 43 minutes 55 seconds with 500 listings](https://d37gzvgyugjozl.cloudfront.net/Screenshot_2026_09_06_at_12_22_30_PM_ad302c0f64.png "width=2372;height=888")

At **1 GB**, another 4,000-target run completed with **2,493 listings**, showing a substantial practical improvement from additional memory.

![blackfalcondata 4,000-target run at 1 GB memory, completed with 2,493 listings](https://d37gzvgyugjozl.cloudfront.net/Screenshot_2026_09_06_at_12_23_10_PM_3298b2e29e.png "width=2372;height=888")

Larger AutoScout24 searches still need partitioning. But blackfalcondata's bigger advantage is `Incremental Mode`, which tracks listing changes between runs.

Public 30-day stats show **9,570 successful runs from 9,577 total (99.93%)**, the strongest 30-day record of the three actors and over the largest run volume.

![blackfalcondata public 30-day stats: 9,570 successful runs out of 9,577](https://d37gzvgyugjozl.cloudfront.net/Screenshot_2026_09_05_at_8_48_15_AM_79161398eb.png "width=1238;height=576")

Stopped runs can also be resurrected through Apify.

#### Customer support

Support is available through **Apify Issues**, with developer support rather than a dedicated company support desk.

Apify reported an average **1.3-day issue response time** as of September 5, 2026. The public sample is small at three issues, but **all three are closed**, with developer replies visible on recent cases.

![blackfalcondata Apify Issues: 1.3-day average response time, all three public issues closed](https://d37gzvgyugjozl.cloudfront.net/Screenshot_2026_09_06_at_6_19_39_AM_5e153664f0.png "width=2378;height=1040")

**Best for:** teams doing **recurring AutoScout24 monitoring** that need strong condition/history data, listing-age tracking, and change detection... and are comfortable running an Apify actor.

---

### 2. Apify — 3x1t/autoscout24-scraper-ppr

* **User rating:** 5.0/5 from 3 [Apify store](https://apify.com/3x1t/autoscout24-scraper-ppr/reviews) reviews, as of September 5, 2026
* **My rating:** **8.26/10**
* **Type:** Apify marketplace Actor
* **Pricing:** **$0.49/1K** at scale

| **Pillar** | **Score /10** |
|---|---|
| Data | 9 |
| Cost | 10 |
| Usability | 6 |
| Speed | 10 |
| Scalability | 7 |
| Support | 5 |
| **Overall** | **8.26** |

[3x1t/autoscout24-scraper-ppr](https://apify.com/3x1t/autoscout24-scraper-ppr) is a ready-made Apify Actor for scraping structured AutoScout24 listings from search URLs. It offers a fast Lightning mode and a richer Full mode with deeper dealer, pricing, and listing-date data.

![3x1t AutoScout24 Scraper page on the Apify Store](https://d37gzvgyugjozl.cloudfront.net/Screenshot_2026_09_06_at_12_29_18_PM_bfe45589f7.png "width=2408;height=1238")

| Pros | Cons |
|---|---|
| **Fastest default mode**... 998 listings/min | Requires **account-wide Apify permissions** |
| **Richest schema**... 80 useful data points in Full mode | No incremental change tracking |
| Strongest dealer dataset | Large-run completeness was inconsistent |
| **Strongest price-position dataset** | More RAM did not improve reliability |
| **Cheapest at scale**... $0.49/1K | Weakest public support-resolution evidence |
| Dealer email reached **92%**... an exclusive field | |

#### Data

3x1t returns **72 useful data points** in Lightning mode and **80** in Full, the largest schema in this comparison.

| **Category** | **Notable data** |
|---|---|
| 🚗 Vehicle | Make, model, trim, condition, body type |
| 💰 Price | Price, deal rating, detailed price-band thresholds |
| ⚙️ Specs | Mileage, registration, fuel, power, transmission, displacement, doors, seats |
| 🧰 Equipment | Equipment list, structured airbags, climate, parking sensors |
| 🧑 Seller | Seller name, phones, email, dealer ID, ratings, dealer tenure |
| 📍 Location | City, postal code, country, full address |
| 🕘 Dates | Publication date, modified date |
| 🖼️ Content | Images, description |

The real advantage is **deeper dealer data and price-position data**.

3x1t exposes the start and end of all five AutoScout24 price bands... **10 threshold values**, populated on roughly **98% of listings**.

| **Price information** | **lobstr.io Detailed** | **ivanvs** | **blackfalcondata** | **3x1t Full** |
|---|---|---|---|---|
| Price | ✅ | ✅ | ✅ | ✅ |
| VAT deductibility | ❌ | ✅ | ✅ | ❌ |
| Price rating | ❌ usable | ❌ | ✅ | ✅ |
| Normalized EUR + FX date | ❌ | ❌ | **✅** | ❌ |
| Full price-band thresholds | ❌ | ❌ | ❌ | **✅** |

So blackfalcondata is better for **normalized multi-market pricing**, while 3x1t is better for understanding **where a listing sits against the market**.

Dealer data is another major advantage:

| **Dealer concept** | **Fill** |
|---|---|
| Dealer ID | **100%** |
| Dealer active since | **96%** |
| Dealer rating | **95%** |
| Review page | **95%** |
| Recommendation % | **95%** |
| Dealer email | **92%** |
| Rating breakdown | 64% |
| Opening hours | 54% |

Seller contacts are strong too: 3x1t averaged **1.28 phone numbers per listing**, returned up to three with phone-type labels, and reached **92% seller-email coverage**.

![3x1t phone number output: up to three numbers per listing, each labelled by phone type](https://d37gzvgyugjozl.cloudfront.net/Screenshot_2026_09_03_at_11_17_38_AM_ad63321c41.png "width=1464;height=940")

Equipment includes dedicated fields for `Airbags`, `Parking sensors`, and `Climatisation` rather than leaving everything in one list. The first two reached **100%** and `Climatisation` **80%**, although ivanvs organizes the **full equipment set** more cleanly.

Publication and modified dates both reached **100%**.

The main gaps are vehicle-history and technical fields. 3x1t does not return VAT deductibility, drivetrain, or usable technical-inspection data. CO₂ coverage reached **38%**, below ivanvs at 48% and blackfalcondata at 49%.

#### Cost

3x1t starts at **$0.79 per 1,000 listings** and drops to **$0.49/1K** at scale.

* Free tier: **$5 in monthly credits**
* Starts at: **$0.79 per 1,000 listings**
* At scale: **$0.49 per 1,000 listings**

![3x1t tiered pricing: $0.79 per 1,000 listings at entry, dropping to $0.49 at the top tier](https://d37gzvgyugjozl.cloudfront.net/Screenshot_2026_09_04_at_1_32_30_PM_3fcc8c19c1.png "width=2462;height=874")

**Lightning and Full cost the same per result**, so the richer mode increases runtime rather than the actor fee.

#### Usability

3x1t is straightforward to set up in Apify. It accepts one or multiple **AutoScout24 search URLs**, with bulk editing available for larger input lists.

![3x1t start URL input, accepting one or multiple AutoScout24 search URLs](https://d37gzvgyugjozl.cloudfront.net/url_2c72197d7f.png "width=2274;height=1412")

You can control the **result limit per URL, seller review limit, and extraction mode** without touching code.

![3x1t controls: result limit per start URL, review limit per seller, Lightning mode and advanced options](https://d37gzvgyugjozl.cloudfront.net/Screenshot_2026_09_05_at_6_52_36_AM_caa86c8143.png "width=2274;height=1412")

**Lightning mode is enabled by default** and trades some data for a much faster run. That matters when comparing its speed, so I tested and discuss both modes below.

Results use Apify's standard exports, including **CSV, Excel, JSON, JSONL, and XML**. You also get **API access, webhooks, Make, Zapier, and n8n** for automated workflows.

![Apify integrations available to 3x1t: API access, webhooks, Make, Zapier and n8n](https://d37gzvgyugjozl.cloudfront.net/2026_09_01_06_53_43_e9095488a7.gif)

Recurring runs can also be **scheduled and monitored through Apify**, so repeated AutoScout24 searches don't need to be started manually.

The bigger usability caveat is permissions. Before 3x1t can run, it asks for **full access to your Apify account**.

![3x1t approval screen requesting full Apify account permissions before the actor can run](https://d37gzvgyugjozl.cloudfront.net/Screenshot_2026_09_05_at_6_59_45_AM_9fa3cab04d.png "width=1954;height=1216")

That's a much broader permission request than the limited-permission Actors in this comparison, and it's worth considering before connecting it to an existing Apify account.

#### Speed

3x1t is the fastest tool here in comparable modes.

With `lightningMode` enabled, it returned **1,000 listings in about 60 seconds** at **1 GB**... roughly **998 listings/min**.

![3x1t Lightning mode run: 1,000 listings in about 60 seconds at 1 GB memory](https://d37gzvgyugjozl.cloudfront.net/Screenshot_2026_09_06_at_12_59_19_PM_c4aee99042.png "width=2318;height=1262")

With Lightning off, the same workload took **6 minutes 2 seconds**, or about **166 listings/min**.

I also tested Full mode with **2 GB**. A 100-listing sample ran at roughly **150/min**, while a larger 500-result test finished in **1 minute 34 seconds**, or about **319/min**.

The larger sample suggests additional Full-mode headroom, but I treat **319/min as directional rather than confirmed throughput**.

#### Scalability

3x1t runs at **1 GB by default**, accepts multiple Start URLs, and is well suited to large **one-off batches**.

A 4,000-result target at 1 GB returned **2,525 listings**, while a 3,000-result target returned **2,527**.

Increasing memory to **32 GB** did not improve coverage: the 3,000-result test returned only **1,027 listings**.

![3x1t 3,000-result run at 32 GB memory, returning 1,027 listings](https://d37gzvgyugjozl.cloudfront.net/Screenshot_2026_09_06_at_1_04_40_PM_edf2c7893f.png "width=2318;height=982")

For recurring collection, 3x1t can rerun scheduled searches but has **no dedicated incremental change-tracking workflow**. Repeat monitoring therefore requires collecting the searches again rather than maintaining persistent state between runs.

Public 30-day stats show **1,159 successful runs from 1,163**, or **99.66%**.

![3x1t public 30-day stats](https://d37gzvgyugjozl.cloudfront.net/Screenshot_2026_09_05_at_8_49_06_AM_7319ca5c53.png "width=1238;height=582")

Stopped runs can be resurrected through Apify.

#### Customer support

Support is available through **Apify Issues + developer email**.

Apify shows a **0-hour issue response time** as of September 5, 2026, but two public issues have remained open for months with **no visible developer reply**.

![3x1t Apify Issues: 0-hour headline response time alongside two issues open for months](https://d37gzvgyugjozl.cloudfront.net/Screenshot_2026_09_06_at_6_17_53_AM_9f4bb8719f.png "width=2378;height=1040")

So I would not put much weight on the headline response metric alone.

**Best for:** buyers doing **fast one-off sweeps, dealer research, or price-position analysis**... provided the account-wide permission request is acceptable.

---

### 3. lobstr.io — AutoScout24 Listings Scraper

* **User rating:** 5.0/5 from 33 [Capterra](https://www.capterra.com/p/10018837/lobstr/) reviews, as of September 5, 2026
* **My rating:** **7.12/10**
* **Type:** No-code platform + API
* **Pricing:** **$0.50/1K** at scale

| **Pillar** | **Score /10** |
|---|---|
| Data | 7 |
| Cost | 7 |
| Usability | 9 |
| Speed | 4 |
| Scalability | 7 |
| Support | 10 |
| **Overall** | **7.12** |

[lobstr.io](https://www.lobstr.io/) is a French web scraping platform with 50+ ready-made scrapers. One of them is the [AutoScout24 Listings Scraper](https://www.lobstr.io/store/autoscout24-listings-scraper), which takes an AutoScout24 search URL and returns listings on a schedule.

![lobstr.io AutoScout24 Listings Scraper page](https://d37gzvgyugjozl.cloudfront.net/Screenshot_2026_09_06_at_11_44_50_AM_d13b0b1188.png "width=2728;height=1432")

[Try the AutoScout24 Scraper](https://www.lobstr.io/store/autoscout24-listings-scraper/)

| Pros | Cons |
|---|---|
| Competitive pricing... **$0.50/1K at scale** | Slowest benchmark result... **70/min Basic, and 40/min detail listing** |
| Simple no-code workflow with bulk tasks, scheduling, and delivery | Detailed mode is expensive |
| Core Basic fields are highly consistent... all 23 above 95% fill | No verified publication date or usable price-position data |
| **Company-level live chat + email support** | Roughly **2K listings** per task |
| **Cleanest export**... least cleanup | |
| Concurrency can scale to **20 Slots** | |

#### Data

lobstr.io returns **49 useful vehicle data points** in Detailed mode. Basic mode gives you **23**, while `Get Listing Details` adds the rest.

| **Category** | **Basic mode** | **Detailed mode adds** |
|---|---|---|
| 🚗 Identity | Listing ID, URL, title, make, model | Version / trim |
| 💰 Price | Asking price, currency | Price label |
| ⚙️ Core specs | Mileage, first registration, fuel type, power | Transmission, body type |
| 🔧 Detailed specs | — | Displacement, cylinders, drivetrain, doors, seats, weight, consumption, CO₂, emissions, production date |
| 🧾 Condition & history | — | Previous owners, technical inspection, last service |
| 🎨 Appearance | — | Exterior colour, manufacturer colour, paint, upholstery |
| 🧰 Equipment | — | Equipment list |
| 🖼️ Content | Images | Description |
| 🧑 Seller | Seller type, seller name | Phone number |
| 📍 Location | City, postal code, country | — |
| 🕘 Dates | Tool first-seen date, scrape timestamp | — |

Basic mode is compact but consistent: **all 23 fields cleared 95% fill**.

Detailed mode fills most normal vehicle-spec gaps. `Trim`, `Transmission`, and `Body type` reached **100%**, `Doors` **98%**, `Seats` **93%**, `Equipment` **96%**, and `Description` **99%**.

The bigger limitation is what remains missing:

| **Missing / weaker area** | **lobstr.io Detailed** | **Who does better** |
|---|---|---|
| Publication date | ❌ | blackfalcondata, 3x1t |
| VAT deductibility | ❌ | blackfalcondata, ivanvs |
| Price-position data | No usable value | blackfalcondata, especially 3x1t |
| CO₂ emissions | ❌ no field | blackfalcondata 49%, ivanvs 48%, 3x1t 38% |
| Seller phone depth | 96%, max **1** | 3x1t, ivanvs... up to 3 |
| Dealer email / ID / ratings | ❌ | 3x1t |

Detailed mode therefore remains a **vehicle-first dataset**, with less depth on listing age, pricing intelligence, and dealer data.

One date field needs caution. `FIRST ONLINE DATE` was populated on all 1,000 rows but matched the collection date every time, so it behaved like a **lobstr.io first-seen timestamp**, not AutoScout24's original publication date.

#### Cost

lobstr.io uses [credits](https://help.lobstr.io/core-concepts/credits), with lower effective rates on higher plans.

Basic mode uses **1 credit per listing**:

* Free tier: **100 credits/month**
* Starts at: **$2.00 per 1,000 listings**
* At scale: **$0.50 per 1,000 listings**

![lobstr.io Basic mode credit usage: 1 credit per listing](https://d37gzvgyugjozl.cloudfront.net/2026_09_06_13_54_10_ce554c8041.gif "width=1772;height=1168")

Detailed mode uses **5 credits per listing**:

* Starts at: **$10.00 per 1,000 listings**
* At scale: **$4.00 per 1,000 listings**

![lobstr.io Detailed mode credit usage: 5 credits per listing](https://d37gzvgyugjozl.cloudfront.net/2026_09_06_13_54_43_10939de006.gif "width=1772;height=1168")

#### Usability

lobstr.io is easy to run without code. You can add search URLs or upload multiple tasks through CSV/TXT.

![Adding an AutoScout24 search URL, or uploading tasks in bulk from a CSV or TXT file](https://d37gzvgyugjozl.cloudfront.net/Screenshot_2026_09_06_at_2_02_08_PM_774a6768cd.png "width=2162;height=1194")

The useful controls include **listing details, result and page limits, freshness filters, deduplication, and concurrency**.

![lobstr.io run settings, including concurrency slots, unique results and no line breaks](https://d37gzvgyugjozl.cloudfront.net/2026_09_06_13_59_31_f9d44a1573.gif)

Results export as **CSV, Excel, JSON, or JSONL**. You can also send them automatically to **Google Sheets, Amazon S3, SFTP, email, or a webhook**, which is useful for recurring collection.

![Automatic delivery to Google Sheets, Amazon S3, SFTP, email or a webhook](https://d37gzvgyugjozl.cloudfront.net/2026_09_06_14_05_46_6072617475.gif)

For automation, lobstr.io integrates with [Make.com](https://help.lobstr.io/integrations/make) and [n8n](https://help.lobstr.io/integrations/n8n). Make also includes a `Watch Runs` trigger, so another workflow can start when a scraper run changes status.

![lobstr.io Make.com integration with seven modules, including the Watch Runs trigger](https://d37gzvgyugjozl.cloudfront.net/2026_09_01_06_10_19_4ba0f07a6a.gif)

If you'd rather skip the dashboard, there's a well-documented [API](https://docs.lobstr.io/docs/quickstart).

There's an [MCP server](https://mcp.lobstr.io/) too, if you'd rather just ask an AI client to run it.

```bash
claude mcp add --transport http lobstr https://mcp.lobstr.io/mcp
```

![Running the lobstr.io AutoScout24 scraper from an AI client through the MCP server](https://d37gzvgyugjozl.cloudfront.net/mcp_7234a0fa81.png "width=1710;height=978")

And a [CLI](https://docs.lobstr.io/docs/cli), if you live in the terminal.

```bash
pip install lobstrio

lobstr go autoscout24-listings-scraper \
  "<your AutoScout24 search URL>" \
  -o autoscout.csv
```

Recurring jobs can also be scheduled inside lobstr.io, so you don't have to manually restart the same AutoScout24 search each time.

![Scheduling recurring jobs inside lobstr.io](https://d37gzvgyugjozl.cloudfront.net/Screenshot_2026_09_06_at_2_10_17_PM_dbf6905582.png "width=1596;height=1208")

Once a run starts, the console shows its progress and timestamps. You can get a notification when it finishes or stop the run early if needed.

![lobstr.io run console showing live progress and timestamps](https://d37gzvgyugjozl.cloudfront.net/Screenshot_2026_09_06_at_2_08_56_PM_f2624bba4c.png "width=2226;height=1456")

#### Speed

lobstr.io was the slowest default configuration I tested at **70 listings/min**.

The 1,000-listing Basic run took **14 minutes 17 seconds**.

![lobstr.io Basic run: 1,000 listings in 14 minutes 17 seconds](https://d37gzvgyugjozl.cloudfront.net/Screenshot_2026_09_04_at_6_57_14_AM_464570b117.png "width=2220;height=768")

With `Get Listing Details` enabled, throughput dropped to about **40 listings/min**, or roughly 25 minutes for 1,000 listings.

![lobstr.io Detailed run with Get Listing Details enabled: about 25 minutes for 1,000 listings](https://d37gzvgyugjozl.cloudfront.net/Screenshot_2026_09_04_at_6_58_12_AM_95e54a04e5.png "width=2220;height=768")

Both results used the default **1 Slot / concurrency 1**. lobstr.io supports additional [Slots](https://help.lobstr.io/core-concepts/slots), with up to **20 Slots per [Squid](https://help.lobstr.io/core-concepts/squids)**, so the measured rates should not be treated as its maximum throughput.

#### Scalability

Bulk task input helps with partitioning, while additional **Slots** provide concurrency.

For recurring collection, `Newer than` can limit runs to fresher listings.

![lobstr.io Newer than setting, limiting a run to fresher listings](https://d37gzvgyugjozl.cloudfront.net/Screenshot_2026_09_05_at_12_02_42_PM_73d4ad5be4.png "width=1728;height=728")

lobstr.io [publishes](https://www.lobstr.io/store/autoscout24-listings-scraper#status) **99.95% task success** and **99.83% incident-free runs** over the last 90 days.

![lobstr.io status page: 99.95% task success and 99.83% incident-free runs over 90 days](https://d37gzvgyugjozl.cloudfront.net/Screenshot_2026_09_05_at_8_33_15_AM_598f9e34c1.png "width=2522;height=1132")

If a run stops, collected results are preserved. Paid-plan exports remain available for **28 days**.

#### Customer support

Support is available through **live chat + email**, making lobstr.io the only tool here with **company-level support** rather than support tied to an individual actor developer.

Capterra reviews also mention fast replies and resolved issues.

![Capterra reviews of lobstr.io mentioning fast replies and resolved issues](https://d37gzvgyugjozl.cloudfront.net/image1_512e7888cb.png "width=1297;height=596")

**Best for:** teams that want a **simple managed scraping workflow, scheduling, and company-level support**... and can accept slower collection or the higher cost of Detailed mode.

---

### 4. Apify — ivanvs/autoscout-scraper

* **User rating:** 4.8/5 from 5 [Apify store](https://apify.com/ivanvs/autoscout-scraper/reviews) reviews, as of September 5, 2026
* **My rating:** **6.32/10**
* **Type:** Apify marketplace Actor
* **Pricing:** **$2.70/1K** at scale

| **Pillar** | **Score /10** |
|---|---|
| Data | 8 |
| Cost | 5 |
| Usability | 7 |
| Speed | 5 |
| Scalability | 5 |
| Support | 8 |
| **Overall** | **6.32** |

[ivanvs/autoscout-scraper](https://apify.com/ivanvs/autoscout-scraper) is a ready-made Apify Actor for collecting structured AutoScout24 vehicle listings from one or more search URLs. It focuses on detailed vehicle specs, categorized equipment, seller contact data, and location fields.

![ivanvs AutoScout24 Scraper page on the Apify Store](https://d37gzvgyugjozl.cloudfront.net/Screenshot_2026_09_06_at_2_27_15_PM_b406a9d16b.png "width=2398;height=1228")

| Pros | Cons |
|---|---|
| Strong **71-point vehicle dataset** in one mode | Most expensive **Apify actor** here |
| Best whole-list equipment organization | No verified publication date |
| VAT deductibility and GPS both reached **100%** | No incremental collection |
| Up to **three seller phone numbers** | No useful price-position data |
| | Large jobs remained incomplete even with more memory |

#### Data

ivanvs returns **71 useful data points** in a single mode.

| **Category** | **Notable data** |
|---|---|
| 🚗 Vehicle | Make, model, trim/version, body type |
| 💰 Price | Price, currency, negotiable flag, VAT deductibility |
| ⚙️ Specs | Mileage, registration, fuel, power, transmission, displacement, doors, seats |
| 🧾 History | Previous owners, inspection, last service, production date |
| 🎨 Appearance | Colour, manufacturer colour, paint, upholstery |
| 🧰 Equipment | Safety, Comfort, Media, Extras |
| 🧑 Seller | Name, phone, WhatsApp, contact person, dealer URL |
| 📍 Location | City, postal code, country, street, GPS coordinates |
| 🖼️ Content | Images, description |

The core vehicle record is strong, with trim, transmission, price, mileage, registration, fuel, power, and body type essentially complete.

Its clearest advantage is **equipment organization**. ivanvs averaged roughly **28.4 equipment items per listing**, but separates them into `Safety`, `Comfort`, `Media`, and `Extras` instead of returning one long list.

| **Notable field** | **Fill** | **Why it matters** |
|---|---|---|
| Categorized equipment | ✅ 4 groups | Easier feature filtering |
| VAT deductibility | **100%** | B2B pricing |
| GPS coordinates | **100%** | Geographic analysis |
| Number of gears | **15%** | **Unique structured field** |
| Publication date | ❌ | No listing-age analysis |
| Dealer ratings | **0%** | Weak dealer intelligence |

Seller contacts are also relatively deep. ivanvs averaged **1.19 phone numbers per listing**, with up to three returned, versus 1.28 for 3x1t.

The bigger gaps are listing age and dealer intelligence. There is no verified publication date, and the dealer-rating field was present but **0% populated**.

#### Cost

ivanvs is one of the pricier options in this comparison:

* Free tier: **$5 in monthly credits**
* Starts at: **$3.50 per 1,000 listings**
* At scale: **$2.70 per 1,000 listings**

![ivanvs tiered pricing: $3.50 per 1,000 listings at entry, dropping to $2.70 at the top tier](https://d37gzvgyugjozl.cloudfront.net/Screenshot_2026_09_04_at_1_15_53_PM_dbd132ff4a.png "width=2538;height=874")

#### Usability

ivanvs is the simplest Actor here to configure. Paste one or multiple **AutoScout24 search URLs**, choose how many records you want, and run it.

![ivanvs input: one or multiple AutoScout24 search URLs, with bulk and text-file input](https://d37gzvgyugjozl.cloudfront.net/Screenshot_2026_09_05_at_6_38_16_AM_382fe2ffe0.png "width=2374;height=1450")

That's basically it. There are no scraper-specific filters or advanced collection modes beyond the URLs and result limit. Apify still gives you control over **memory, timeout, and maximum cost per run**.

![ivanvs actor settings: list of URLs and maximum number of records, plus Apify run-level controls](https://d37gzvgyugjozl.cloudfront.net/2026_09_06_14_34_30_9339656e5e.gif)

Results export as **CSV, Excel, JSON, JSONL, or XML**. Through Apify, you also get **API access, webhooks, Make, Zapier, n8n, scheduling, and run monitoring**.

So ivanvs is easy to get running, but that simplicity comes with **fewer controls than the more configurable scrapers in this comparison**.

#### Speed

ivanvs completed the **1,000-listing benchmark in 10 minutes 47 seconds** at **1 GB**, or roughly **93 listings/min**.

![ivanvs benchmark run: 1,000 listings in 10 minutes 47 seconds at 1 GB memory](https://d37gzvgyugjozl.cloudfront.net/Screenshot_2026_09_04_at_8_35_04_AM_e9fe2d2740.png "width=2348;height=810")

The actor also accepted **32 GB**. At that setting, a 100-listing sample finished in **37 seconds**, or roughly **162 listings/min**.

Because that was only a 100-listing test, I treat **162/min as directional rather than confirmed throughput**. The confirmed benchmark remains **93 listings/min at 1 GB**.

#### Scalability

More memory helped larger jobs, but did not remove the main bottleneck.

With a **4,000-result target at 1 GB**, ivanvs hit its 15-minute timeout after returning **1,512 listings**. At **32 GB**, the same timeout produced **1,952 listings**... about 29% more, but still incomplete.

![ivanvs 4,000-result target hitting the 15-minute timeout: 1,512 listings at 1 GB, 1,952 at 32 GB](https://d37gzvgyugjozl.cloudfront.net/Screenshot_2026_09_05_at_12_14_09_PM_db3305c6e8.png "width=2386;height=1210")

So larger jobs need timeout tuning, not just more memory.

The actor accepts multiple AutoScout24 URLs, which helps when larger markets need to be partitioned. It has no incremental or change-tracking mode, so recurring collection requires scraping those searches again.

Public 30-day stats show **2,244 successful runs from 2,250**, or **99.73%**.

![ivanvs public 30-day stats: 2,244 successful runs from 2,250](https://d37gzvgyugjozl.cloudfront.net/Screenshot_2026_09_05_at_8_47_08_AM_c6bf9b9c20.png "width=1238;height=606")

Stopped runs can be resurrected through Apify, but do not automatically pause and resume.

#### Customer support

Support is available through **Apify Issues + developer email**.

Apify reports an average **10-hour issue response time** as of September 5, 2026, with **11 of 12 public issues closed**.

![ivanvs Apify Issues: 10-hour average response time and its public issue history](https://d37gzvgyugjozl.cloudfront.net/Screenshot_2026_09_06_at_6_21_37_AM_9d75804c4e.png "width=2378;height=1476")

**Best for:** buyers who want **strong vehicle specs and organized equipment data**... and do not need listing-age tracking, incremental monitoring, or the lowest price.

---

## FAQ

### Which AutoScout24 scraper returns the most data?

**3x1t returns the most data**, with **80 useful data points** in Full mode. blackfalcondata follows with 74 and ivanvs with 71.

### Which AutoScout24 scraper is cheapest?

**3x1t is the cheapest**, starting at **$0.79/1K listings** and falling to **$0.49/1K** at scale. lobstr.io Basic is close at $0.50/1K at scale.

### Which AutoScout24 scraper is fastest?

**3x1t is the fastest comparable configuration**, reaching **998 listings/min** in Lightning mode. blackfalcondata reached 5,940/min in Lite mode, but with substantially less data.

### Which AutoScout24 scraper is best for recurring collection?

**blackfalcondata is best for recurring collection.** Its incremental workflow tracks new, updated, expired, and reposted listings between runs.

### How many AutoScout24 listings can I scrape from one search?

**AutoScout24 exposes roughly 4,000 results per search.** Larger markets therefore need multiple narrower searches, and some scrapers impose lower per-task limits.

### Why aren't scrape.do and Scrapfly ranked?

**scrape.do and Scrapfly** aren't ranked because they return raw HTML rather than structured AutoScout24 vehicle records.

---

## Conclusion

That's a wrap on the **best AutoScout24 scrapers**.

Who owns what:

* **blackfalcondata** owns condition data and change tracking. Its enriched dataset and incremental workflow make it the pick for recurring market monitoring. **Watch out:** larger enriched jobs need more than its 256 MB default.
* **3x1t** owns speed and dealer intelligence. At **998 listings/min** in Lightning mode, it's the pick for fast one-off sweeps and price-position analysis. **Watch out:** it requires account-wide Apify access.
* **lobstr.io** owns support and operation. Its managed workflow, scheduling, delivery, and company-level support make it the pick for teams that prioritize ease of use. **Watch out:** Detailed mode gets expensive.
* **ivanvs** owns equipment structure. Its categorized Safety, Comfort, Media, and Extras data make it the pick for equipment-focused analysis. **Watch out:** it's relatively expensive and lacks incremental tracking.

Pricing, schemas, and scraper behaviour change, so I'll update this comparison when the numbers do.

If you've found something better for AutoScout24, feel free to [ping me on LinkedIn](https://www.linkedin.com/in/nathan-eshetu-040907202/).

Ready to scrape AutoScout24 yourself? [Try the AutoScout24 Scraper](https://www.lobstr.io/store/autoscout24-listings-scraper).

---

## Scrapers in this article

- [AutoScout24 Listings Scraper](https://www.lobstr.io/store/autoscout24-listings-scraper): Extract 72 data points from any AutoScout24 search — full vehicle specs, pricing, seller info, equipments & images. (1 credit per result)

Tags: Price Monitoring, No Code, Lead Generation, Web Scraping

_Canonical HTML: https://www.lobstr.io/blog/best-autoscout24-scrapers_

More for agents: https://www.lobstr.io/llms.txt, pricing in Markdown: https://www.lobstr.io/pricing.md