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Advanced Google Maps Scraping Manager
3 days trial then $10.00/month - No credit card required now
This actor lets you search an area on Google Maps and return the place ID for each result
โ What does it do?
This actor let you search an area on Google Maps and return the place ID for each result.
The Place IDs generated can be used to get further details about the place from the Advance Google Maps Scraper, or you can capture reviews and photos of the place with the Advance Google Maps Reviews Scraper or Advanced Google Maps Photos Scraper.
๐พ What data can users scrape from Google Maps?
You can get the Place ID for each result matching your search term in the location you choose.
NOTE: to avoid missing places that match your search, there is some intentional overlap which will create some duplicate IDs in the result. Apify will automatically de-duplicate these when queueing in another actor, but you should de-duplicate the results before using them elsewhere.
How do I scrape additional information about each place?
You can link this Google Maps Scraping Manager to other Actors to scrape all details about a place including name, opening hours, reviews, photos, and much more.
To get more details about a place, you can go to the integrations tab --> connect Apify Actor --> select Advanced Google Maps Scraper --> paste {{resource.defaultDatasetId}}
into the Dataset ID field (and clear the example Google Maps Place IDs
and Google Maps URLs
). This will automatically trigger the integrated actor to scrape details each time you get a list of places from this Google Maps Scraping Manager.
You can use exactly the same process to scrape photos from Google Maps by integrating the Advanced Google Maps Photos Scraper and you can scrape reviews from each place with the Advanced Google Maps Reviews Scraper
๐ญ Example Output
Here's an example of Google Maps data that users might get when they scrape Google Maps reviews for Sydney Opera House:
1{ 2 "placeIDs": [ 3 "ChIJ20Hax-L1wokRujD4MUgJT2w", 4 "ChIJ21t5FmlfwokRLCCxA3MSNhQ", 5 "ChIJrW_w7K71wokRj1SUgXSIBm8", 6 ... many more results 7 ] 8}
๐ Input format
You can configure the input options to get exactly the results you want:
- ๐ Location
- Where you want to search
- Be as specific as possible, e.g. "Manhattan, New York, USA" instead of "New York"
- ๐ฏ Search Term
- What you want to search for
- Be as specific as possible, e.g. "independent coffee shop" instead of "coffee"
- ๐ Deep Scan
- Search the area more thoroughly
- Mostly useful for cities with lots of resuls
- Will take longer as the search will be more detailed
- โญ๏ธ Minimum Star Rating
- Filter results to only places with an average rating above this level
๐๏ธ Speed
Speed is dependent on the memory available to your Actor and the settings you're using. In general, the larger the search area and the broader your search term, the longer it will take. For example, searching for coffee in New York will take much longer than search for wedding boutiques in Valley City, North Dakota.
To assess how long your scraping will take, you should try scraping a small number of places and review the time taken to estimate time and cost of your planned run.
๐โโ๏ธ FAQs
Q: Can the data be exported in different formats?
A: Yes, the place IDs can be downloaded in formats such as JSON or CSV for analysis or further processing.
Q: Is it legal to scrape Google Maps reviews?
A: You should consult the Terms of Service for Google Maps to determine if your use case is permitted.
Q: Can I get details like name, opening hours or rating for each place?
A: To get more details about a place, you can use the Advanced Google Maps Scraper. Go to the integrations tab --> connect Apify Actor --> select Advanced Google Maps Scraper --> paste {{resource.defaultDatasetId}}
into the Dataset ID field (and clear the example Google Maps Place IDs
and Google Maps URLs
). This will automatically trigger the integrated actor to scrape details each time you get a list of places from this Google Maps Scraping Manager.
- 4 monthly users
- 1 star
- 100.0% runs succeeded
- Created in Dec 2023
- Modified 8 months ago