Google Maps Scraper
No credit card required
Google Maps Scraper
No credit card required
Extract data from thousands of Google Maps locations and businesses. Get Google Maps data including reviews, reviewer details, images, contact info, opening hours, location, prices & more. Export scraped data, run the scraper via API, schedule and monitor runs, or integrate with other tools.
Actor doesn't find relevant entries for "cafe" search?
I have used this scraper many times and quite happy with it, but for some reason it has problems finding relevant shops for the search term "cafe".
Instead it finds restaurants, bars, gas stations and what not and rarely ever an actual cafe.
I tried different search terms, I tried using the category option for cafe directly, but nothing seems to have worked. Please check it out and let me know what's wrong?
Hi there!
Thank you for your feedback! Google often includes adjacent categories in search results. I would recommend using more specific terms, like "coffee shop" or "espresso bar" rather than just “cafe”.
You can also experiment with different category combinations, such as "coffee shop" and "cafe”. By changing the input just a bit I’m getting more relevant results:
1{ 2"categoryFilterWords": [ 3"coffee shop" 4], 5"includeWebResults": false, 6"language": "en", 7"locationQuery": "bayern, germany", 8"maxImages": 0, 9"maxQuestions": 0, 10"maxReviews": 0, 11"onlyDataFromSearchPage": false, 12"reviewsOrigin": "all", 13"reviewsSort": "newest", 14"scrapeDirectories": false, 15"scrapeImageAuthors": false, 16"scrapeReviewsPersonalData": false, 17"scrapeTableReservationProvider": false, 18"searchMatching": "all", 19"skipClosedPlaces": false, 20"website": "allPlaces", 21"reviewsFilterString": "", 22"placeMinimumStars": "", 23"allPlacesNoSearchAction": "" 24}
As a last resort you could consider also using the searchMatching option set to only_includes or only_exact to restrict results to places with "cafe" in their name, although this could lead to a loss of potentially relevant results.
Hope this helps! Cheers, Andrea
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Created in Nov 2018
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