# Best Idealista Scrapers 2026 [No-code Edition]

> I tested the best no-code Idealista scrapers, checking data, pricing, and how each holds up at scale. Here's what I found.

- **Author**: Nathan Eshetu
- **Published**: 2026-04-28, updated 2026-05-20 (20 May 2026)
- **Reading time**: 23 min
- **Canonical**: https://www.lobstr.io/blog/best-idealista-scrapers

---

## TL;DR

- I tested no-code Idealista scrapers across data, pricing, speed, scalability, and ease of use
- I skipped API tools, browser extensions, and visual scrapers — only dedicated no-code tools with an Idealista scraper made the cut
- lobstr.io returns the most fields (75), 1,000 results in 3m 23s, and is the only tool with concurrency control via Slots
- Apify is the fastest (1m 12s per 1,000 results) — but enabling Fetch Details timed out in testing, pushing 1,000 results to an estimated 43 minutes
- WebAutomation.io is the slowest (30 min per 1,000 results) and most expensive, but the only tool that returns a GMap link, Year Built, and energy certificate

---

If you want to pull Idealista listings without writing a single line of code, **most tools will fail you.**

Most tools are either built for developers or too generic to handle a site like Idealista reliably.

![Reddit post showing users struggling to scrape Idealista](https://d37gzvgyugjozl.cloudfront.net/image29_3ccd0b8244.png "width=1538;height=504")

**So I tested the best no-code Idealista scrapers against what actually matters:** data, cost, ease of use, speed, and scalability.

Here's what held up.

---

| Criteria | lobstr.io | Apify | WebAutomation.io |
|---|---|---|---|
| **Data fields** | 75 | 57 | 52 |
| **Cost per 1,000 (entry)** | $0.20 | $0.45 | $12.38 |
| **Cost per 1,000 (scale)** | $0.05 | $0.07 | $7.48 |
| **Speed per 1,000** | 3m 23s | 1m 12s | 30 min |
| **Free tier** | ✅ | ❌ | ❌ |
| **Parallel slots** | ✅ | ❌ | ❌ |
| **URL-first input** | ✅ | ❌ | ✅ |
| **Bulk URL upload** | ✅ | ❌ | ✅ |
| **Export formats** | 👍 | 💯 | 💯 |
| **Integrations** | 👍 | 💯 | 💯 |

But hold up...is it legal?

---

> ⚠️ Disclaimer
>
> The information in this section is for general informational purposes only. It reflects publicly available sources and my own interpretation of them.
>
> It does not constitute legal advice and should not be treated as such. Laws vary by jurisdiction and can change.
>
> If you need guidance on compliance, data use, contracts, or platform-specific risks, consult a qualified legal professional who can evaluate your situation in detail.

## Is it legal to scrape Idealista?

Yes. It is legal under certain conditions.

Under [Articles 133–137](https://www.wipo.int/wipolex/en/legislation/details/14311) of the **Spanish Intellectual Property Law (Texto Refundido de la Ley de Propiedad Intelectual, introduced by Ley 5/1998)**, Spain's transposition of EU Directive 96/9/EC on the Legal Protection of Databases, database producers are protected against anyone who extracts or reuses a substantial portion of their database.

**However, collecting public data remains legal if:**

* You access it as a lawful user of publicly available information
* You limit extraction to a non-substantial portion of the catalogue

Under the EU General Data Protection Regulation (GDPR, Regulation 2016/679), processing publicly available data is also permitted, provided it does not include personal information.

**How to stay on the right side:**

* Use data internally — pricing research, lead generation, market analysis
* Don't extract the full catalogue
* Never republish listings on a public-facing site
* Only collect property-level attributes
* Never collect personal information

Further reading:

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

Now before I get to the tools, here's how I ran the test.


## How did I choose the best Idealista scraper?

I started by figuring out **where people actually get stuck.**

So I read through Reddit threads from people trying to scrape Idealista.

![Reddit thread showing pain points when scraping Idealista](https://d37gzvgyugjozl.cloudfront.net/image16_5be0e607d0.png "width=1000;height=800")

Based on that, I shortlisted **5 common pain points:**

* Data
* Affordability
* Scale
* Speed
* Ease of use

For **data**, I looked at the exact fields each tool exports, and whether the output is clean and usable without extra cleanup.

![GIF showing data fields returned by Idealista scrapers side by side](https://d37gzvgyugjozl.cloudfront.net/idealista_updated_data_1ec276a0ca.gif "width=2434;height=1060")

For **affordability**, I simplified pricing down to cost per 1,000 results, at both entry-level and scale-level.

That keeps the comparison fair, regardless of whether you scrape occasionally or on a schedule.

![GIF comparing pricing plans across Idealista scrapers](https://d37gzvgyugjozl.cloudfront.net/Idealista_updated_pricing_9cd0e9d400.gif "width=1770;height=1042")

For **scalability**, I checked how each tool behaves at higher volumes, including any hard limits — and whether they offer concurrency slots to control parallel execution.

For **speed**, I timed each tool against 1,000 results where possible, and normalized to an estimated per-1,000 rate where a full run wasn't practical.

![Speed test setup used to measure Idealista scraper performance](https://d37gzvgyugjozl.cloudfront.net/Screenshot_2026_05_18_at_9_41_14_PM_ec080326aa.png "width=2258;height=784")

For **ease of use**, I evaluated the whole workflow: setup to first scrape, plus what export formats and integration options it actually offers.

**Customer support factored in too.** What channels exist, and whether users report getting real help when something breaks (because it will).

![Customer support review criteria for evaluating Idealista scrapers](https://d37gzvgyugjozl.cloudfront.net/image19_526c1d29a6.png "width=1297;height=596")

**Then I went hunting for candidates**: Reddit threads, Google results, and the usual AI-generated lists.

![GIF showing Claude and ChatGPT recommendations for Idealista scrapers](https://d37gzvgyugjozl.cloudfront.net/claude_chatgpt_recomendations_1b041a9450.gif "width=2756;height=1394")

I ruled out a couple tool categories early.

**API-based tools** went first, since you still need code to get usable output.

**Browser extensions and visual scrapers** went next. They're okay for one-offs, but they're not reliable for repeatable runs at scale.

What stayed were **no-code tools designed specifically for Idealista**, and stable enough to handle more than a small test scrape.


## Best no-code Idealista scrapers

| Criteria | lobstr.io | Apify | WebAutomation.io |
|---|---|---|---|
| **Data fields** | 75 | 57 | 52 |
| **Cost per 1,000 (entry)** | $0.20 | $0.45 | $12.38 |
| **Cost per 1,000 (scale)** | $0.05 | $0.07 | $7.48 |
| **Speed per 1,000** | 3m 23s | 1m 12s | 30 min |
| **Free tier** | ✅ | ❌ | ❌ |
| **Parallel slots** | ✅ | ❌ | ❌ |
| **URL-first input** | ✅ | ❌ | ✅ |
| **Bulk URL upload** | ✅ | ❌ | ✅ |
| **Export formats** | 👍 | 💯 | 💯 |
| **Integrations** | 👍 | 💯 | 💯 |


## 1. lobstr.io

[lobstr.io](https://www.lobstr.io/) is a French web scraping platform with 50+ ready-made scrapers, available as a no-code app or via API.

![lobstr.io Idealista scraper actor page](https://d37gzvgyugjozl.cloudfront.net/image2_adf0bd900b.png "width=1999;height=1078")

| Pros | Cons |
|---|---|
| Most data fields | CSV export only |
| Concurrency control via Slots | |
| URL-first workflow | |
| Bulk upload via CSV or TXT | |
| Strong live chat support | |

### Key features

- Scrape listings from your Idealista search URL
- 75 data fields
- URL-first workflow: paste your search URL directly, no re-filtering needed
- Bulk input via CSV or TXT file
- Deduplication and line-break handling on by default
- Slots to control scraping speed
- Schedule recurring scrapes
- Cloud-based, no installation needed
- Export to CSV or automate delivery to Google Sheets, Amazon S3, SFTP, or email
- Integrates with Make.com and 3,000+ apps


### Data

**lobstr.io returns 75 data fields per listing** — the most of the three tools tested.

Here are all 75 fields:

| | | | |
|---|---|---|---|
| 🔗 URL | 🆔 PROPERTY CODE | 🖼️ THUMBNAIL | 🏠 PROPERTY TYPE |
| 🏗️ TYPOLOGY | 🔄 OPERATION | 💰 PRICE | 💱 CURRENCY |
| 💵 PRICE BY AREA | 📐 SIZE | 🛏️ ROOMS | 🚿 BATHROOMS |
| 🏢 FLOOR | 🌅 EXTERIOR | 🛗 HAS LIFT | 🎬 HAS VIDEO |
| 📋 HAS PLAN | 🔭 HAS 360 | 🏠 HAS 3D TOUR | 🎨 HAS STAGING |
| ❄️ HAS AIR CONDITIONING | 📦 HAS BOX ROOM | 🌿 HAS GARDEN | 🏊 HAS SWIMMING POOL |
| 🌿 HAS TERRACE | 📍 ADDRESS | 🏘️ NEIGHBORHOOD | 🗺️ DISTRICT |
| 🏙️ MUNICIPALITY | 🌐 PROVINCE | 🌍 COUNTRY | 📌 LATITUDE |
| 📌 LONGITUDE | 🔑 LOCATION ID | 📝 DESCRIPTION | 🔖 EXTERNAL REFERENCE |
| 📊 STATUS | 📄 SUGGESTED TITLE | 📄 SUGGESTED SUBTITLE | 🆕 NEW DEVELOPMENT |
| 🏗️ NEW PROPERTY | 📷 NUM PHOTOS | 🖼️ IMAGES | 🏢 COMMERCIAL NAME |
| 👤 CONTACT NAME | 👥 USER TYPE | 🔗 MICROSITE SHORT NAME | 📊 TOTAL ADS |
| 🖼️ AGENCY LOGO | 📞 PHONE | 📱 PHONE FORMATTED | 🌐 PHONE INTERNATIONAL |
| 🔢 PHONE PREFIX | 📱 PHONE NATIONAL NUMBER | 💲 PRICE AMOUNT | ⭐ TOP HIGHLIGHT |
| ➕ TOP PLUS | 🆕 TOP NEW DEVELOPMENT | 🆕 NEW DEVELOPMENT HIGHLIGHT | ⭐ PREFERENCE HIGHLIGHT |
| 👁️ VISUAL HIGHLIGHT | ⚡ URGENT VISUAL HIGHLIGHT | 🎀 RIBBONS | 📝 NOTES |
| ❤️ FAVOURITE | 💾 SAVED AD | 👁️ SHOW ADDRESS | 📬 CONTACT METHOD |
| 🔒 NEED LOGIN FOR CONTACT | 👤 TENANT GENDER | 🔢 TENANT NUMBER | 👥 FLAT MATES NUMBER |
| 🚬 IS SMOKING ALLOWED | 📅 FIRST ACTIVATION DATE | 📅 IS ONLINE BOOKING ACTIVE | |

**18 of those fields don't appear in either Apify or WebAutomation.io.**

Here are the fields exclusive to lobstr.io:

| | | | |
|---|---|---|---|
| 🏗️ TYPOLOGY | ❄️ HAS AIR CONDITIONING | 📦 HAS BOX ROOM | 🏢 COMMERCIAL NAME |
| 🔗 MICROSITE SHORT NAME | 📊 TOTAL ADS | 🖼️ AGENCY LOGO | 🌐 PHONE INTERNATIONAL |
| 🔢 PHONE PREFIX | 📱 PHONE NATIONAL NUMBER | 📝 NOTES | 💾 SAVED AD |
| 📬 CONTACT METHOD | 🔒 NEED LOGIN FOR CONTACT | 👤 TENANT GENDER | 🔢 TENANT NUMBER |
| 👥 FLAT MATES NUMBER | 📅 IS ONLINE BOOKING ACTIVE | | |

The phone data comes **pre-split into five fields.**

PHONE, PHONE FORMATTED, PHONE INTERNATIONAL, PHONE PREFIX, and PHONE NATIONAL NUMBER — no parsing needed before loading into a CRM or outreach tool.

![phone data on lobstr.io](https://d37gzvgyugjozl.cloudfront.net/Screenshot_2026_05_13_at_1_56_46_PM_b335cbfad5.png "width=2674;height=1108")

**NEED LOGIN FOR CONTACT** tells you upfront which listings have gated contact info.

For lead gen workflows, it lets you pre-filter to only listings where you can reach the agent directly — without needing an Idealista account.

**CONTACT METHOD tells you the agent's preferred channel** — phone, email, form, or chat. 

At scale, that means you can route leads to the right outreach channel before you start.

![NEED LOGIN and CONTACT METHOD data result on lobstr.io](https://d37gzvgyugjozl.cloudfront.net/Screenshot_2026_05_13_at_2_14_45_PM_3f8199aed2.png "width=1834;height=777")


### Price

lobstr.io runs on a **monthly subscription model.**

Plans start at $20 and scale up to $500, each offering a fixed number of usage credits.

* FREE plan available
* $0.20 per 1,000 results on the STARTER plan
* Drops to $0.05 per 1,000 results on the TEAM plan

![lobstr.io pricing plans — Starter at $0.40 per 1,000 and Team at $0.10 per 1,000](https://d37gzvgyugjozl.cloudfront.net/chrome_e_R22g_Ypr6_X_af9013d950.gif "width=1770;height=1042")


### Ease of use

Of the three tools, lobstr.io is the most frictionless. The setup takes about a minute. That's not an exaggeration.

**The workflow is URL-driven,** which is the right call. 

Instead of rebuilding your search inside the tool, you do it where it makes sense: **directly on Idealista.**

![Idealista search page showing how to copy the search URL for lobstr.io](https://d37gzvgyugjozl.cloudfront.net/image5_c70f688e20.png "width=1999;height=1102")

Set your location, property type, and filters there, copy the URL, and paste it in.

You can also **upload a CSV file if you have multiple URLs.**

![lobstr.io URL input field with Idealista search URL pasted in](https://d37gzvgyugjozl.cloudfront.net/Screenshot_2026_05_13_at_11_17_03_AM_c11a51eebb.png "width=2258;height=1416")

From there, the settings give you direct control over volume: **max pages and max results per run.**

Deduplication and cleaner output are toggled on by default. You don't have to think about it.

![GIF of lobstr.io run settings — max pages, max results, deduplication, and line-break handling](https://d37gzvgyugjozl.cloudfront.net/Idealista_updated_setting_6101d298a7.gif "width=2260;height=1368")

**Scheduling is also part of the workflow,** not buried in a separate tab.

It's built into the launch step, right before you run. Minutes, Hours, Days, Weeks, Months, with timezone and start time control.

![lobstr.io scheduling interface with timezone, frequency, and start time controls](https://d37gzvgyugjozl.cloudfront.net/Screenshot_2026_05_13_at_11_23_19_AM_f961e0a241.png "width=2258;height=1416")

The one real limitation is export: **results come out as CSV only.**

Automated delivery is also available: directly to Google Sheets, Amazon S3, SFTP, or email.

![GIF showing lobstr.io automated delivery options — Google Sheets, Amazon S3, SFTP, and email](https://d37gzvgyugjozl.cloudfront.net/idealista_updated_delivery_b34fa051cc.gif "width=2260;height=1408")

For more complex setups, Make.com integration opens the door to over 3,000 apps and services.

![lobstr.io Make.com integration giving access to 3,000+ apps](https://d37gzvgyugjozl.cloudfront.net/image3_15f594f8f0.png "width=1322;height=766")


### Scalability

lobstr.io handles volume without friction.

You can upload a list of search URLs in bulk using a CSV or TXT file.

![lobstr.io bulk URL upload via CSV or TXT file](https://d37gzvgyugjozl.cloudfront.net/Screenshot_2026_05_13_at_1_26_40_PM_dbd0f40b54.png "width=2258;height=1386")

The stronger part is execution control.

lobstr.io includes a **Slots** setting, so you can increase concurrency and run multiple bots in parallel.


### Speed

lobstr.io pulled 1,000 results in 3 minutes 23 seconds.

![lobstr.io speed test — 1,000 results in 3 minutes 23 seconds](https://d37gzvgyugjozl.cloudfront.net/Screenshot_2026_05_18_at_9_41_14_PM_ec080326aa.png "width=2258;height=784")

If you want it faster, you can control it through **Slots.**

Each one adds an extra bot to the job, working through tasks simultaneously.

![lobstr.io Slots setting to increase scraping speed by running multiple bots in parallel](https://d37gzvgyugjozl.cloudfront.net/image32_52ffbe2f9c.png "width=1104;height=410")


### Customer support

lobstr.io offers customer support through a **live chat pop-up directly on the website.**

It's one of the things users consistently highlight.

The support team is known for being quick to respond, technically capable, and actually useful.

![lobstr.io live chat support on website](https://d37gzvgyugjozl.cloudfront.net/image19_526c1d29a6.png "width=1297;height=596")

### Best for

Best for anyone running ongoing Idealista research across multiple cities. 

If data completeness and scaling across multiple cities without friction are the priority, this is the tool to start with.

Not for anyone whose pipeline depends on formats beyond CSV.

---

## 2. Apify

[Apify](https://apify.com/) is a web scraping platform with ready-made no-code scrapers, including an Idealista listing extractor providing you with structured datasets.

![Apify Idealista scraper actor page on Apify Store](https://d37gzvgyugjozl.cloudfront.net/image24_a64eb8dec9.png "width=1999;height=1079")

| Pros | Cons |
|---|---|
| Fastest (base run — no Fetch Details) | Filter-based — one location per run |
| Widest export options (JSON, CSV, XML, Excel, HTML) | No bulk URL input |
| Cheapest per 1,000 results | Reliability issues at volume |
| | Fetch Details: 36x slower in testing |
| | No concurrency control |

### Key features

- Filter-based input: operation, property type, country, location
- 57 data fields including `priceByArea`, coordinates, and structured contact info
- Schedule recurring scrapes
- Cloud-based, no installation needed
- Export to CSV, Excel, JSON, XML, HTML, and more
- Integrates natively with Make, Zapier, and n8n


### Data

**Apify returns 57 fields per listing.**

Here are all 57 fields:

| | | | |
|---|---|---|---|
| 🆔 propertyCode | 🖼️ thumbnail | 🏠 propertyType | 🔄 operation |
| 💰 price | 📐 size | 💵 priceByArea | 🛏️ rooms |
| 🚿 bathrooms | 🏢 floor | 🌅 exterior | 🛗 hasLift |
| 📍 address | 🏙️ municipality | 🌐 province | 🗺️ district |
| 🏘️ neighborhood | 🌍 country | 📌 latitude | 📌 longitude |
| 🔑 locationId | 📝 description | 🔗 url | 📊 status |
| 👤 contactInfo | 🏗️ detailedType | 🔖 externalReference | 📅 firstActivationDate |
| 🆕 newDevelopment | ✅ newDevelopmentFinished | 🏗️ newProperty | 📷 numPhotos |
| 🚗 parkingSpace | 📉 priceDropPercentage | 📉 priceDropValue | 💲 priceInfo |
| ⚙️ features | 🔄 has360 | 🏠 has3DTour | 📋 hasPlan |
| 🎨 hasStaging | 🎬 hasVideo | 📸 multimedia | 📝 suggestedTexts |
| 👁️ showAddress | 📅 dropDate | ❤️ favourite | 💬 highlightComment |
| 🏷️ labels | 🆕 newDevelopmentHighlight | ⭐ preferenceHighlight | 🎀 ribbons |
| 🔝 topHighlight | 🆕 topNewDevelopment | ➕ topPlus | ⚡ urgentVisualHighlight |
| 👁️ visualHighlight | | | |

**Two fields here you won't find in any other tool.**

Apify is the only one that returns price drop history — `priceDropPercentage` and `priceDropValue`.

Here are the fields exclusive to Apify:

| | |
|---|---|
| 📉 priceDropPercentage | 📉 priceDropValue |

Apify also has a **Fetch Details** toggle — an optional setting that pulls additional property data from a second request.

Fetch Details adds depth, not just breadth.

![Screenshot of the fetch detail toggle](https://d37gzvgyugjozl.cloudfront.net/Screenshot_2026_05_04_at_3_43_51_AM_13acf22f24.png "width=2398;height=1362")

Without it, the export returns **57 flat fields**.

With it on, you get **51 base fields** plus a nested `_details` object with **32 sub-fields** — 83 total data points.

But the output becomes nested, and you lose 6 base fields: `priceDropPercentage`, `priceDropValue`, `dropDate`, `newDevelopmentFinished`, `ribbons`, and `highlightComment`.

Here are the fields inside the `_details` object:

| | | | |
|---|---|---|---|
| 🆔 adid | 🤝 allowsCounterOffers | 🏦 allowsMortgageSimulator | ✅ allowsProfileQualification |
| 👍 allowsRecommendation | 🏠 allowsRemoteVisit | 💬 comments | 📞 contactInfo |
| 🌍 country | 🔗 detailWebLink | 🏷️ detailedType | ⚡ energyCertification |
| 🏠 extendedPropertyType | 🔄 has360VHS | 💬 highlightComment | 🏡 homeType |
| 🏷️ labels | 🔗 link | 📅 modificationDate | 📋 moreCharacteristics |
| 📸 multimedia | 🔄 operation | 💰 price | 💲 priceInfo |
| 💬 propertyComment | 🏠 propertyType | 💡 showSuggestedPrice | 📊 state |
| 📝 suggestedTexts | 📡 tracking | 🌐 translatedTexts | 📍 ubication |

If you need a clean flat CSV, use the base run. If you need energy certification, modification dates, or ubication data, enable it.

![Apify run with fetch details vs without fetch details](https://d37gzvgyugjozl.cloudfront.net/apify_with_details_vs_without_f69d8d63cb.gif "width=2820;height=1436")

- 👉 [Run without Fetch Details](https://docs.google.com/spreadsheets/d/1AAiDAHQA0RgMWASTSwOJidzOIrHwIK__6cqyN0UnnN0/edit?usp=sharing)
- 👉 [Run with Fetch Details](https://docs.google.com/spreadsheets/d/1pwqxsNazxdYzWtllWRCAVs9Gj7w8eG4MptHCxwFbc14/edit?usp=sharing)


### Price

Apify's pricing looks straightforward at first — but it isn't.

The actor costs **$19/month** as a flat rental fee. That part is clear.

![Apify actor rental — flat $19/month fee](https://d37gzvgyugjozl.cloudfront.net/2026_05_18_23_49_26_6d4f9dfd5c.gif "width=2526;height=1318")

But everything after that gets complicated.

On top of the $19/month, you pay for platform usage.

![Apify pricing page — platform plans from $5 Free credit to $999 Business, plus $19/month actor rental](https://d37gzvgyugjozl.cloudfront.net/image18_2cca3664f1.png "width=1999;height=1070")

**That cost depends on three variables** that Apify doesn't spell out upfront:

- How much RAM your run needs
- How many compute units it consumes
- Whether you use residential or datacenter proxies

Each variable changes the final number. And none of them are predictable before your first run.

Based on a real test run of 1,000 results without Fetch Details enabled, the platform usage cost came to approximately **$0.07**. Enable Fetch Details, and that number will be higher.

![Apify usage cost breakdown for 1,000 results — approximately $0.07 total](https://d37gzvgyugjozl.cloudfront.net/Screenshot_2026_04_28_at_11_29_01_PM_2124a48108.png "width=2400;height=1124")

The flat $19 rental is what drives the entry cost up. At 50,000 results/month, it adds $0.38 per 1,000 to the platform usage — making the cost **$0.45 per 1,000** at entry.


### Ease of use

**The workflow is filter-first:** you're not pasting a URL, you're configuring a search from scratch.

![Apify Idealista scraper input form — operation, property type, country, and location fields](https://d37gzvgyugjozl.cloudfront.net/image11_30f6314b8b.png "width=1999;height=1250")

That means every decision has to be made upfront, starting from the very first field.

Operation, property type, country, location. Each one locked to a single choice.

And every different decision is **a separate run.**

![GIF showing Apify Idealista scraper requiring separate run for each location or filter combination](https://d37gzvgyugjozl.cloudfront.net/apify_starter_fric_7371c56c0d.gif "width=2392;height=1450")

Users noticed this quickly.

So scraping Madrid, Seville, and Barcelona means three separate setups, three separate runs, three separate waits.

![Apify user feedback noting one location ID per run limitation](https://d37gzvgyugjozl.cloudfront.net/image9_d9cc356e11.png "width=1999;height=472")

Good luck for anyone doing multi-city market research.

The amenity toggles follow the same logic, and this is **where it gets genuinely limiting.**

Each toggle is binary. On means only listings with that feature. Off means listings without it. There's no "get everything" option.

![GIF showing Apify amenity toggles — binary on/off with no "all listings" option](https://d37gzvgyugjozl.cloudfront.net/apify_toggles_71bda3f13a.gif "width=2392;height=1474")

So a full market view (properties with and without a terrace, for example) is two runs.

With a URL-based scraper like lobstr.io or WebAutomation.io, you can do that in a single run.

If there's one area where Apify clearly wins, **it's export.**

Results come out in JSON, CSV, XML, Excel, HTML, and more.

![Apify export format options — JSON, CSV, XML, Excel, HTML, and more](https://d37gzvgyugjozl.cloudfront.net/image7_c410f2da14.png "width=1964;height=1256")

It also connects natively with automation platforms like Make, Zapier, and n8n, so plugging your data into a wider workflow is straightforward.

![GIF showing Apify native integrations with Make, Zapier, and n8n](https://d37gzvgyugjozl.cloudfront.net/idealista_apify_integration_a7bdc639d4.gif "width=2416;height=1452")


### Scalability

Apify **doesn't offer bulk URL input** for this scraper.

Each run is configured individually: one location, one set of filters, one run.

There's also no visible concurrency, slots, or max threads setting inside the Actor input.

So you can't simply increase the number of parallel scraping bots from the scraper interface itself.

The bigger issue is that at volume, **reliability becomes a concern.**

The tool doesn't always behave predictably when you push it.

That's a risk if you're building an automated, repeatable workflow around it.

![Apify user reviews flagging reliability issues at higher scraping volumes](https://d37gzvgyugjozl.cloudfront.net/image1_4a6c7c3f0b.png "width=1999;height=1160")


### Speed

Apify pulled 1,000 results in 1 minute 12 seconds — the fastest of the three tools tested.

![Apify speed test — 1,000 results in 1 minute 12 seconds](https://d37gzvgyugjozl.cloudfront.net/Screenshot_2026_05_18_at_9_22_59_PM_1abe3a8a9d.png "width=1999;height=1026")

**One important caveat:** enabling Fetch Details or Fetch Stats adds one extra request per property.

In practice, the run timed out twice — at 350 and 300 results — both hitting the 15-minute limit. At that rate, 1,000 results would take roughly **43 minutes**.

![Apify run timeout error — Fetch Details hitting the 15-minute limit](https://d37gzvgyugjozl.cloudfront.net/Screenshot_2026_05_18_at_9_24_14_PM_11b90a12c5.png "width=2432;height=1230")

Both features are still in beta.

![Apify documentation warning that Fetch Details and Fetch Stats make the actor 50x slower](https://d37gzvgyugjozl.cloudfront.net/image13_c5d8f5178d.png "width=1686;height=460")


### Customer support

Apify provides support through **live chat, a ticketing system, and a community forum.**

Worth knowing: if your issue is technical, skip the live chat.

Go straight to creating a ticket, or post directly in the actor's Issues tab.

![Apify support options — live chat, ticketing system, and Issues tab on the actor page](https://d37gzvgyugjozl.cloudfront.net/image23_285239f557.png "width=1999;height=1144")

### Best for

Best for anyone pulling from a single Idealista market at high volume, where turnaround time matters.

Not for multi-city research or anyone planning to rely on Fetch Details — it's still in beta and wasn't reliable in testing.

---

## 3. WebAutomation.io

[WebAutomation.io](https://webautomation.io/) is a UK-based data automation company with ready-made web scrapers for 400+ popular websites, including Google, Amazon, Yelp, and Idealista.

![WebAutomation.io Idealista scraper actor page](https://d37gzvgyugjozl.cloudfront.net/image34_c379507858.png "width=1999;height=981")

| Pros | Cons |
|---|---|
| Export in CSV, XML, and XLSX | Most expensive |
| Visual cron builder | Pay-as-you-go costs $50 per 1,000 results |
| | Slowest |
| | No concurrency control |

### Key features

- Scrape listings from your Idealista search URL
- 52 data fields — including Latitude, Longitude, Year Built, energy certificate, and rental rules
- `only_new` variable — limits to listings not previously collected
- `refresh_found_links` variable — forces re-scrape of previously seen URLs
- Proxy country selector
- Scheduling via visual cron builder (paid plans only)
- Bulk input via .txt file (50+ URLs)
- Cloud-based, no installation needed
- Export to CSV, XML, or XLSX
- Automated delivery to Google Sheets, Dropbox, Amazon S3, or MySQL


### Data

**WebAutomation.io delivers 52 fields per listing**.

Here are all 52 fields:

| | | | |
|---|---|---|---|
| 🔗 starter_url | 📝 Basic_Description | 📄 Title | 🏠 House_Type |
| 💰 Price | 💵 Price_per_SQM | 🖼️ image_main | 🖼️ image_extra |
| 📅 Year_Built | 🆔 Idealista_Reference | 👤 Advertiser_Name | 🏗️ condition |
| 🛏️ Bedrooms | 🚿 Bathrooms | 🛗 Lift | 🌿 Garden |
| 🏊 Swimming_Pool | 🌿 Terrace | 📐 Built_SQM | 🚗 Garage |
| 🌿 Land_Plot_SQM | 📅 Listing_Updated | 📍 Location | 📍 Sub_District |
| 📍 District | 🏙️ Town | 🌐 Region | 🗺️ GMapLink |
| 📝 Detailed_Description | 🆔 Advertiser_Reference | 📞 Advertiser_Tel | 👤 Advertiser_Owner_Type |
| 📅 calendar | 🐾 pets | 👫 couples | 👶 minors |
| 🚬 smokers | 📋 basic_characteristics | 🏢 Building | ⚡ energy_certificate |
| 🔍 looking_for | 🏠 characteristics_ofthe_house | 🛏️ room_features | 👥 your_companions |
| 🗺️ Estimated_Map | 🌐 Latitude | 🌐 Longitude | 🔑 itemKey |
| 💸 transfer_cost | 🔗 url | 🏢 Floor | ⏱️ timestamp |

**Several of these fields you won't find in any other tool here.**

WebAutomation.io is the only one that returns a Google Maps link, Year Built, and land plot size.

It also returns rental-specific rules — pets, couples, and minors — that neither other tool covers.

That last group is particularly useful for anyone in the rental market.

Here are the fields exclusive to WebAutomation.io:

| | | | |
|---|---|---|---|
| 🗺️ GMapLink | 📅 Year_Built | ⚡ energy_certificate | 🌿 Land_Plot_SQM |
| 🏢 Building | 🐾 pets | 👫 couples | 👶 minors |
| 👥 your_companions | 🔍 looking_for | 🏠 characteristics_ofthe_house | 🛏️ room_features |
| 📋 basic_characteristics | 👤 Advertiser_Name | 👤 Advertiser_Owner_Type | 🆔 Advertiser_Reference |
| 💸 transfer_cost | 📍 Sub_District | 📍 District | 🏙️ Town |
| 🌐 Region | 🗺️ Estimated_Map | 🆔 Idealista_Reference | 📅 Listing_Updated |
| 🖼️ image_extra | | | |

**One thing worth noting:** the output is flat and immediately usable, no JSON parsing required.


### Price

WebAutomation.io runs on a **credit-based subscription model.**

Plans start at $99/month and scale up to $999/month, each offering a monthly allowance of row credits.

* Free trial available on all plans
* $12.38 per 1,000 results on the Project plan
* Drops to $7.48 per 1,000 results on the Business plan

![GIF showing WebAutomation.io pricing plans — Project at $12.38 per 1,000 and Business at $7.48 per 1,000](https://d37gzvgyugjozl.cloudfront.net/webautomation_pricing_e1b1626cc7.gif "width=2738;height=1402")

**Worth knowing:** WebAutomation.io is credit-based. This Idealista extractor costs 50 credits per row.

Pay-as-you-go credits are also available at $1 per 1,000 credits, which works out to $50 per 1,000 results at 50 credits per row.

![WebAutomation.io extractor settings showing 50 credits per row for Idealista](https://d37gzvgyugjozl.cloudfront.net/image15_a3273cabbd.png "width=1999;height=1034")

**Now that's really expensive.**


### Ease of use

The dashboard is about as minimal as it gets.

The workflow is **URL-first.** The input panel has a small number of fields.

You set a row limit, paste your Idealista search URL into the Starter Links box, and run.

![GIF showing WebAutomation.io URL-first input interface for Idealista scraper](https://d37gzvgyugjozl.cloudfront.net/webautomation_UI_f5f5573076.gif "width=2846;height=1452")

There is an optional Extractor Variables section, which handles two useful behaviours:

1. `only_new` — limits extraction to listings that haven't been collected before
2. `refresh_found_links` — forces a re-scrape of previously seen URLs

Both are genuinely useful for anyone running the scraper on a recurring basis rather than as a one-off.

The Domains field lets you add multiple Idealista markets in one extractor. idealista.com, idealista.pt, and more — as long as the page template is the same.

![WebAutomation.io Domains field with Add more button for multiple Idealista markets](https://d37gzvgyugjozl.cloudfront.net/Screenshot_2026_04_26_at_5_45_48_AM_9c1f058078.png "width=2128;height=1356")

In practice though, this adds a layer of configuration that isn't immediately intuitive.

**Scheduling** is also available.

To be honest, I didn't find it easily. The chat interface surfaced a help article that pointed me to it.

![GIF of WebAutomation.io support chat surfacing the scheduling help article](https://d37gzvgyugjozl.cloudfront.net/webautomation_scheduling_support_f96e9aecb4.gif "width=2846;height=1452")

Once I found it, it was actually really cool.

The scheduling interface uses plain-language frequency buttons: One-Off, Minute, Hourly, Daily, Weekly, Monthly. Each expands into specific intervals below it.

**It is essentially a visual cron builder,** stripped of all the technical syntax. No asterisks, no expressions, no documentation needed.

![GIF of WebAutomation.io visual cron builder with frequency options — One-Off, Minute, Hourly, Daily, Weekly, Monthly](https://d37gzvgyugjozl.cloudfront.net/webautomation_cron_scheduling_bb049b8e27.gif "width=2846;height=1452")

**One thing to note:** scheduling requires a paid plan. One-Off runs are the only option on the free tier.

When you're done, data exports in CSV, XML, XLSX, and more.

![WebAutomation.io data export showing CSV, XML, and XLSX format options](https://d37gzvgyugjozl.cloudfront.net/image30_a65ebf54be.png "width=1999;height=895")

Automated delivery is also available directly to Google Sheets, Dropbox, Amazon S3, MySQL, or trigger runs via REST API.

![WebAutomation.io automated delivery options — Google Sheets, Dropbox, Amazon S3, and MySQL](https://d37gzvgyugjozl.cloudfront.net/image31_eea9c19638.png "width=1999;height=1209")


### Scalability

WebAutomation.io handles volume mainly through bulk URL input.

If you have more than 50 starter URLs, you can upload them as a plain `.txt` file: **one link per line.**

![WebAutomation.io bulk URL input showing .txt file upload option for 50+ links](https://d37gzvgyugjozl.cloudfront.net/image35_43dca4c7d4.png "width=1999;height=510")

For multi-city or multi-filter research, that saves meaningful time.

You're not configuring each run manually.

The limitation is execution control.

There's no visible concurrency, slots, or parallel bot setting, so you can upload many URLs, but you can't directly control how aggressively the scraper processes them.


### Speed

WebAutomation.io pulled 30 results in 55 seconds — the slowest of the three tools tested.

At that rate, 1,000 results would take roughly **30 minutes**.

![WebAutomation.io speed test — 30 results in 55 seconds](https://d37gzvgyugjozl.cloudfront.net/image6_a935be1212.png "width=1999;height=971")


### Customer support

WebAutomation.io offers support through a **live chat pop-up directly on the platform.**

The chat also surfaces relevant help articles directly, so common questions get answered before you even send a message.

![GIF of WebAutomation.io live chat surfacing relevant help articles automatically](https://d37gzvgyugjozl.cloudfront.net/webautomation_support_aa0d46236c.gif "width=2342;height=1346")

### Best for

Best for rental market researchers who need tenant eligibility and property condition data that the other tools don't cover.

Not for anyone scraping at volume or working to a tight budget — it's the most expensive and slowest of the three.

---

## FAQ

### Should I build my own Idealista scraper or use a ready-made tool?

**For most people, a ready-made tool is the smarter choice.**

Building your own means managing proxies, browser fingerprinting, session handling, and constant maintenance as Idealista evolves. That's months of work before you get anything reliable.

A no-code tool skips the engineering entirely. You get straight to the data.

### Won't a ready-made scraper break every time Idealista updates?

**A good provider monitors for breaks and pushes fixes.** With a DIY scraper, every update is your problem, and it often takes days to diagnose.

### Can I scrape Idealista listings from multiple cities?

**With lobstr.io and WebAutomation.io, yes.** Both are URL-first. Your search scope carries over automatically, and you can upload multiple URLs in bulk.

**With Apify, effectively no.** Each run is locked to a single location. Scraping Madrid, Seville, and Barcelona means three separate setups and three separate runs.

---

## Conclusion

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

---

## Related articles

- [How to Scrape Property Listings from Idealista [No Code]](https://www.lobstr.io/blog/how-to-scrape-property-listings-from-idealista-no-code)

Tags: Idealista, No Code, Price Monitoring, Real Estate, Web Scraping

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

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