Product Updates — December 2025

December brought one hard decision and a lot of momentum.

We had to adjust Leboncoin scraper pricing—not an easy decision, but a necessary one.

The good news? We're shipping at speed. 🚀 LinkedIn Profiles Scraper is finally here, LaCentrale is live, and Google Maps just got sharper.

Bad news first, good news after. Here's December. 👇

Update #1 – Leboncoin scrapers pricing adjustment

We had to adjust prices on Leboncoin scrapers.

This isn't a decision we made lightly—we didn't have any other choice. Over the past year, Leboncoin has become exponentially more expensive to scrape reliably.

What changed?

Leboncoin has been aggressively tightening automated access restrictions, almost regularly. What used to work consistently now breaks regularly.

Maintaining reliable data collection means constantly rebuilding infrastructure, running new research cycles, and adapting to restrictions that evolve faster than any other platform.

The cost of keeping these scrapers operational has multiplied—because of the specialized resources required to stay ahead of Leboncoin's increasingly sophisticated automated access restrictions.

So we had to adjust pricing to match what it actually costs to keep these scrapers running.

New pricing structure:

1. Export listings – 4 credits per listing ($2 per 1,000 listings)
2. Get phone number – 6 credits per phone number ($3 per 1,000 phone numbers)
3. Auto message sender – 20 credits per message ($10 per 1,000 messages)

What hasn't changed and will never change:

1. Complete, accurate data at scale
2. Full coverage across all categories
3. No compromises on reliability or data quality

We're committed to maintaining these scrapers long-term, not cutting corners to preserve pricing that no longer reflects reality.

Update #2 – Two new scrapers released

December brought two highly requested scrapers.

1. LinkedIn Profiles Scraper
2. LaCentrale Cars Scraper

LinkedIn Profiles Scraper 💼

The most requested scraper is finally here.

The LinkedIn Profiles Scraper lets you extract complete profile data from any LinkedIn profile URL, including verified work emails, without needing a Sales Navigator subscription.

1. 70+ meaningful data points per LinkedIn profile
2. Full profile coverage including education, work history, skills, and interests
3. Enrichment with verified work emails
4. No Sales Navigator required

This makes it easy to build prospect lists, enrich CRM data, and identify decision-makers at scale.

LaCentrale Cars Scraper 🚗

LaCentrale is the #1 car marketplace in France… and now you can turn its inventory into structured, usable vehicle data.

The LaCentrale Cars Scraper lets you export all cars from any LaCentrale search URL, across all regions and filters, in one clean run.

Each export includes:

1. Every car from the search results
2. 80+ data points per listing including vehicle specs, pricing, equipment, and history
3. Complete seller information (name, category, address, verification status, ratings)
4. Enrichment data (CO2 emissions, AutoViza history, technical specifications, price variations)
5. France-wide coverage across all makes, models, and categories

This lets you analyze market pricing, track inventory trends, enrich automotive datasets, and identify verified sellers at scale.

Update #3 – Category Match in Google Maps Leads Scraper

This month we added Category Match to complement the Geo Match filter we shipped in November.

Category Match + Geo Match filters 🎯

Previously, match filters lived in the output sheet as columns. You'd export everything, then filter manually to identify listings that didn't match your targeted location or category.

That cleanup step is now gone.

When Geo Match and Category Match are enabled, the scraper automatically skips listings that fall outside your defined geographic area or category—before they make it to your output file.

What this means:

1. No post-export filtering for location or category mismatches
2. No manually checking match columns
3. No billing for out-of-scope results
4. Clean, precise datasets that stay strictly within your defined parameters

You get exactly what you targeted, nothing more, nothing less.