Google Maps Scraper & Analyzer 📍

Scrape every place from any Google Maps search with full browser control — names, star ratings, review counts, and precise latitude/longitude — with optional review scraping and a built-in analysis engine that turns raw reviews into a business report.

What you get

Scraper (always on):

• 📍 Every place from your search — the sidebar is auto-scrolled to the very end of the list
• ⭐ Name, star rating, total review count, Google Maps URL
• 🎯 Precise latitude/longitude coordinates for every place
• 💬 (optional) Full reviews per place — author, stars, text, date — via scrapeReviews

Analysis engine (optional, runAnalysis):

• 📝 Smart summary + satisfaction score per place
• 🎯 Aspect ratings (food, service, price, atmosphere, wait, location)
• 👍 Top praises / 👎 top complaints (NLP theme extraction, multilingual)
• 🧭 Prioritized recommendations + 🏆 competitor comparison + 📄 printable PDF report

Perfect for lead generation, local SEO, market mapping, and reputation analysis — one Actor for both the raw data and the insight.

Why not just ask a chatbot?

A chatbot can't scroll Google Maps — it sees a handful of places at best. This tool drives a real browser, loads the entire results list, and returns structured, exportable data you can automate.

How to use

• searchTerms + location: e.g. ["coffee shops"] + Austin, USA — or paste full search URLs in startUrls.
• maxPlaces: how many places to capture per search (sidebar scrolls until reached or list ends).
• scrapeReviews + maxReviewsPerPlace: also open each place and scrape its reviews.
• runAnalysis: run the ReviewLens analysis on each place's reviews (turns review scraping on automatically).

Example input

{
  "searchTerms": ["coffee shops"],
  "location": "Austin, USA",
  "maxPlaces": 50,
  "scrapeReviews": false
}

Output

One item per place (reportType: "place"); with runAnalysis, an extra analysis report per place (reportType: "analysis") and a comparison (reportType: "comparison").

{
  "reportType": "place",
  "title": "Epoch Coffee",
  "rating": 4.5,
  "reviewsCount": 2497,
  "latitude": 30.3186037,
  "longitude": -97.7245402,
  "url": "https://www.google.com/maps/place/..."
}

Notes

• Heavy resources (images, map tiles, media) are blocked during scraping — runs are fast and memory-efficient, and concurrency auto-scales with the run's RAM.
• Sentiment is based on star ratings (language-independent), with extra text sentiment for English reviews. Themes are detected with multilingual support.