Product Updates — November 2025

November was all about momentum. We listened. We delivered.

We rolled out new scrapers, made one of our core scrapers significantly cheaper, and tightened location accuracy in Google Maps exports.

Here’s everything we shipped in November.

Update #1 – Two new scrapers released

November was a big month under the hood.

We shipped two new scrapers focused on data that’s been consistently hard to collect cleanly and at scale…

1. Instagram Reels Scraper
2. Bien’Ici Listings Search Export

Instagram Reels Scraper 🎥

Instagram Reels drive massive reach and engagement… and now you can turn them into structured, actionable data.

The Instagram Reels Scraper lets you extract all Reels from any public Instagram profile or Reels URL, worldwide, in a single run.

It collects the complete dataset, including:

1. All Reels from the profile
2. Full author details
3. Engagement metrics for each Reel
4. Real comments

This makes it easy to analyze Reels performance, compare creators, and work with Instagram content at scale.

Bien’Ici Listings Search Export 🏠

Bien’Ici is one of the most important real estate platforms in France… and now you can turn its search results into structured, usable listings data.

The Bien’Ici Listings Search Export lets you export all listings from any Bien’Ici search URL, across all locations and categories in France, in one clean run.

Each export includes:

1. Every listing from the search results
2. 100+ attributes per listing
3. All locations and all categories
4. Reliable, France-wide coverage

This lets you analyze pricing, compare markets, and build or enrich property datasets using complete, consistent listings data.

Update #2 – Google Maps Reviews Scraper is now 5× cheaper

We were already cheaper than most competitors, but some of you compared us directly with Apify. So we reworked the cost structure.

The Google Maps Reviews Scraper is now 5× cheaper.

Previously, the scraper used 1 credit per review. That translated to $1 per 1,000 reviews at entry pricing, and $0.50 per 1,000 reviews at scale.

Now, it uses 0.2 credits per review, which means 1 credit collects 5 reviews.

In practical terms, this brings the cost down to $1 per 5,000 reviews, a straight 5× reduction.

Update #3 – Geo Match in Google Maps Search Export

We’ve been improving how location accuracy works in Google Maps exports… and this is the cleanest version of it yet.

In a previous update, we introduced match filters to help you identify businesses in your output that didn’t fully match your category or location inputs.

But we wanted to remove the cleanup step entirely.

So we added Geo Match.

The Geo Match option is now available in Google Maps Search Export. When enabled, it automatically skips listings that fall outside your defined geographic area.

That means:

1. No post-export filtering for location mismatches
2. No checking match columns manually
3. No listings leaking in from nearby but irrelevant areas

What you get is a clean, precise dataset that stays strictly within your defined region, right from the export.