Product Updates — April 2026

April was our biggest month yet. 💥

7 new scrapers shipped... Reddit, LinkedIn Leads, Instagram Followers, Realtor, Immoweb, Leboncoin Status Checker, and Facebook Private Group Posts.

Two big platform features dropped too. The Credit Consumption Dashboard finally answers the most-asked question we get ("where did my credits go?"), and native Scraper Chains let you wire scrapers together right inside the Squid config... no Make.com required.

And we wrapped the month with a proper docs + help center revamp.

Let's get into it. 👇

Update #1 – 7 new scrapers launched 🚀

Biggest scraper release ever. Beating January's 5 and February's 5.

Seven new scrapers, all highly requested:

1. Reddit Scraper
2. LinkedIn Leads Scraper
3. Instagram Followers Scraper
4. Realtor Property Listings Scraper
5. Immoweb Listings & Phones Search Export
6. Leboncoin Listing Status Checker
7. Facebook Private Group Posts Scraper

Reddit Scraper 👽

One scraper, every Reddit data type.

The Reddit Scraper extracts posts, comments, user profiles, and subreddit metadata from any Reddit URL... subreddit, post, profile, or search. Auto-detects what you paste, no separate runs needed.

1. 40+ data points per result covering posts, comments, authors, and subreddit info
2. Full comment threads with nested replies preserved
3. Paste any mix of subreddit, post, user, or search URLs in one run
4. 280 results per minute at max slots
5. No login required... works entirely on public Reddit data

Perfect for community research, sentiment analysis, trend detection, niche audience mining, and tracking conversations across subreddits.

LinkedIn Leads Scraper 💼

LinkedIn People Search, fully extractable... with verified emails and phones.

The LinkedIn Leads Scraper turns any LinkedIn people search URL into a clean, enriched lead list. Apply filters on LinkedIn (keywords, location, industry, company, connection degree), paste the search URL, get the dataset.

1. 69 attributes per lead including full job history (up to 10 positions), education, skills, interests, groups, and featured posts
2. Verified business emails and phones with 97% accuracy, bounce rate under 3%
3. Works without Sales Navigator... regular LinkedIn search is enough
4. Uses session cookies via Chrome extension... no credentials ever stored
5. Strict per-account rate limiting with 0% account ban rate

Great for outbound prospecting, building targeted ABM lists, and turning niche LinkedIn searches into contactable prospect data.

Instagram Followers Scraper 📸

Pull the entire follower list from any public Instagram profile.

1. 12 attributes per follower including username, full name, profile URL, verification status, privacy setting, and profile picture
2. Up to 9,999 followers per extraction (Instagram's own ceiling for accounts over 10K)
3. 170 profiles per minute depending on synced accounts
4. Account sync via Chrome extension... session cookies only, no passwords

This completes the Instagram stack alongside the Profile, Post, Reels, and Post Comments scrapers. Audience mapping, competitor follower analysis, influencer overlap... all now possible.

Realtor Property Listings Scraper 🏠

US real estate listings from Realtor.com... for-sale and rentals, agent contact included.

The Realtor Property Listings Scraper takes any Realtor.com search URL and exports the full listing dataset. All categories, all states, sales and rentals in one scraper.

1. 40+ fields per listing including price, status, beds, baths, house size, lot size, full address, coordinates, year built, HOA, and MLS ID
2. Agent name and phone number included when available
3. Latitude/longitude for mapping and geo-clustering
4. Works on both sales and rental listings
5. 180 listings per minute with a 99.95% task success rate

Perfect for US real estate market analysis, lead generation for agents and investors, comparative market analytics, and enriching property datasets at scale.

Immoweb Listings & Phones Scraper 🏠

The biggest Belgian real estate platform, with agency phones included.

Immoweb runs the Belgian property market. The Immoweb Listings & Phones Scraper turns any Immoweb search URL into structured listings data... and pulls agency contacts straight from the detail pages.

1. 50+ attributes per listing including property details, pricing, location, EPC energy score, and images
2. Agency phone + mobile number extracted directly from detail pages, alongside name, type, and email
3. Works on all three language versions (/fr, /nl, /en)
4. Supports every Immoweb search filter (property type, price range, location, etc.)
5. 5 listings per minute with detail-page enrichment per item

Great for Belgian real estate market analysis, agency lead generation, EPC compliance datasets, and country-specific property monitoring.

Leboncoin Listing Status Checker 🔍

Know which Leboncoin ads are still live... in bulk, on autopilot.

You've got thousands of Leboncoin URLs from a past scrape. Which are still active? Which sold? Which got pulled? The Leboncoin Listing Status Checker tells you, fast.

1. Paste thousands of Leboncoin ad URLs at once (paste or CSV upload)
2. Returns status (active or deactivated) and the underlying HTTP code (200 live, 404 removed, etc.)
3. No daily limits, no throttling
4. Schedule daily/weekly checks for ongoing inventory monitoring
5. 3 to 5 URLs per minute

Perfect for tracking when competitor inventory sells, monitoring listing turnover over time, cleaning up stale URL datasets, and feeding lead-scoring models with real-time availability signals.

Facebook Private Group Posts Scraper 📘

Private Facebook Groups you're a member of... now fully extractable.

In February we shipped the Public Group Posts Scraper. The most-requested follow-up was simple... "What about private groups?"

Here it is.

1. 25 attributes per post including post URL, IDs, text, timestamp, engagement metrics, reaction breakdown, image/video URLs, attachments, and top 2 visible comments
2. Works on any private group you're a member of... account sync via Chrome extension (session cookies only, never your password)
3. New Fetch Since filter for date-based extraction
4. 15 posts per minute with safe rate limiting and minimal ban risk

Update #2 – Credit Consumption Dashboard 📊

The most-requested feature we've ever shipped.

"Where did my credits go?" "How did I spend them?" "Which Squid burned through everything?"

You asked, we built it. The new Credit Consumption Dashboard sits inside your account and tells you exactly where every credit went.

1. Credit consumption report over the last 7 days and 30 days, with month-on-month trend so you can spot creeping usage early
2. Top Squids and Scrapers ranked by credit consumption... see at a glance which crawler is eating your budget
3. Per-Squid details including total runs and total credits spent
4. No setup, no toggle... it's just there the next time you open your dashboard

For teams running dozens of Squids in parallel, this turns billing from a mystery into a spreadsheet.

Update #3 – Scraper Chains, now native ⛓️

Chain scrapers together inside lobstr.io. No Make.com, no glue code, no 3rd-party workflow tool.

Until now, if you wanted to scrape leads from Google Maps and all reviews per place, you had to wire it up externally... export from one scraper, push into the next via Make.com or a Python script.

Painful.

Now you can chain them natively inside the Squid config.

1. Set up once in the Google Maps Leads Scraper Squid... pick "after this run, chain into Google Maps Reviews Scraper"
2. Output from the first scraper feeds directly into the second
3. Schedule it like any other Squid... full pipeline runs on autopilot
4. No external tools, no manual exports, no plumbing to maintain

This is the foundation for full no-code data pipelines on lobstr.io. Find businesses, pull their reviews, monitor sentiment... all from one Squid config.

Update #4 – Documentation revamp 📚

Two big shipping items on the docs side this month.

API Changelogs 📝

Most-requested docs feature, now live.

1. Date-stamped entries so you know exactly when something shipped
2. Grouped by area (scrapers, runs, results, billing)
3. Subscribe via RSS or follow the page... no more "did this change yesterday?" guesswork
4. Powers cleaner integrations for API users, vibe coders, and anyone building on top of lobstr.io

Help Center rebuild 🏗️

The help center got a proper home.

We migrated off third-party help-center tooling and rebuilt the lobstr.io help center from scratch at help.lobstr.io.

1. Cleaner structure organized around Getting Started, Squids, Data & Exports, Account & Billing
2. Faster page loads and proper search
3. Topic cards for the things you actually look up... Account Sync, Credits & Slots, Email Enrichment, Filtering, Safety, API Access
4. llms.txt index so AI agents can crawl the help center cleanly
5. Built and hosted by us on our own infrastructure... not bolted onto a 3rd-party SaaS

Old article links still work, but new help content lives at the new domain.