GMapsScraper.AI

GMapsScraper.AI

Extract business leads and emails from Google Maps for free

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@team8623
Published on May 12, 2026
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Details

Pricing
Freemium from $29
Platforms
Web

Discovery signals

How AI and people discover GMapsScraper.AI on PeerPush

ConsistencyRead consistencyHow many of the last 30 days this listing was read by any AI at all.
26 of 30 days

Read by AI

Read by AI on 26 of the last 30 days.
Search index 90dSearch indexTimes a search engine AI indexer, such as OAI-SearchBot, crawled this listing.
53 crawls

ChatGPT Search indexer

By OAI-SearchBot, the ChatGPT Search indexer, in the last 90 days.

About GMapsScraper.AI

[GMapsScraper.AI](https://gmapsscraper.ai) is a cloud-based Google Maps data extractor that collects business information from Google Maps search results at scale. The tool runs entirely on cloud servers. You enter search keywords in batches (for example, "coffee shop in Brooklyn" or "law firm in Sydney"), and the platform processes them in parallel. Each listing returns 39+ structured data fields: business name, full address, phone number, email, website, Google rating, review count, opening hours, and social media profiles. You can set the language and location for each task to target specific regions. Results come back as CSV or JSON files that work with CRM systems, email outreach tools, and spreadsheets. No browser extension to install, no desktop software to run. The platform supports up to 100 keywords per task and 5 concurrent tasks on higher plans. It also has a resume feature, so interrupted tasks pick up where they left off. Who uses it: B2B sales teams building prospect lists from local business listings. Marketing agencies are pulling competitor data for clients in specific cities. SEO consultants are collecting business data for citation building and local pack analysis. Freelance researchers gathering location-based datasets.

Screenshots

Screenshot 1 of GMapsScraper.AI

Reviews (1)

Average 4.0 out of 5

4.0

Based on 1 review

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L

Interesting concept with a clean execution. Looking forward to seeing how it grows over time.

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