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Extract data from hundreds of Google Maps businesses and locations in seconds. Get Google Maps data including reviews, images, opening hours, location, popular times & more. Go beyond the limits of the official Google Places API. Download data with Google Maps extractor in JSON, CSV, Excel and more.

We recommend adding Search terms and Location as your starting point. This will help you overcome Google's limit of 120 places per search term by splitting the map into smaller searches by automatically choosing the most efficient zoom (you can also override the <a href='https://apify.com/drobnikj/crawler-google-places#automatic-zooming' target='_blank' rel='noopener'>automatic zooming</a> to make the scrape go deeper or more shallow). You can easily test any geolocation inputs on <a href='https://nominatim.openstreetmap.org/ui/search.html?city=new%20york'>Open Street Map</a> Putting location terms into the search terms directly (e.g. restaurants in New York) is not recommended (you will hit the 120 places limit). But if want to do that, you must remove any geolocation inputs like Location! Otherwise, the scraper will scan whole country or city for each of the provided search terms! Alternatively, you can also use Google Maps URLs in the section. Direct search URLs and search terms without geolocation are always limited to 120 results per URL/search term. Keep in mind that using search terms or URLs is mutually exclusive. If you need any guidance, <a href='https://blog.apify.com/google-maps-how-to-overcome-google-api-limit-120-places/' target='_blank' rel='noopener'>follow this tutorial.</a>

Will scrape all places seen on the map. This depends on a lot of the zoom so for more places, increase the zoom. Doesn't work together with URLs

This option will get you all places from a specific search area, no matter if they are bakeries or petrol stations. The scrape however will be significantly slower and more costly than using a regular search, so we don't recommend using this unless strictly necessary.

Scrape all places (no search term)

Enter the city where the search should be carried out, e.g., <code>Pittsburgh</code>. Warning: just add a single city and don't add state or country here.

📍 City (only enter ONE city name, without state or country!)

Set the country where the search should be carried out, e.g., <code>United States</code>. Warning: if used without city or other geolocation parameters, the scraper will scan the whole country! Currently, the scraper doesn't work well for full-country searching of sparsely populated countries like the United States or Russia. For these, search city by city or focus on populated states.

🗺 Country (combine with other geolocation parameters or the scraper will scan the whole country!)

Set the US county where the search should be carried out, e.g., <code>Madison</code>.

US county (combine with other geolocation inputs or the scraper will scan the whole county!)

Use this field to define the exact search area if other search area parameters don't work for you. See <a href='https://apify.com/compass/crawler-google-places#custom-search-area' target='_blank' rel='noopener'>readme</a> or <a href='https://blog.apify.com/google-maps-how-to-overcome-google-api-limit-120-places/#📡-level-4-custom-geolocation-in-google-maps-boss-level' target='_blank' rel='noopener'>our guide</a> for details.

🛰 Custom search area (coordinate order must be: [longitude, latitude])

Enables to extract significantly more places from larger areas because each city inside the region is more focused. It also helps the scraper to skip areas without any population like deserts, mountains or oceans. This is especially important for countries with larger areas without population like Australia or Canada. Be aware that enabling this feature increases the runtime (by extracting more places). This feature will likely become a default setting in the near future but is currently opt-in to allow for smooth transition.

Deeper city scrape (more places extracted)

Extract the bottom "Web results" section of place data. It slightly increases compute and proxy usage.

🌐 Include "Web results"

Results details will show in this language.

Language

Free text location definition. If you use Zip codes, you must use them with country name (not city name!). Use <a href='https://nominatim.openstreetmap.org/ui/search.html'>OpenStreeMap webapp</a> for visual validation of the exact covered area. You can always fallback to Geolocation section where you can select country, state, county, city and postalCode. Keep in mind that Locatiion has always preference of these.

Location (only use ONE location at a time)

This is the maximum number of results you will obtain for each search term or URL. A higher number will take longer to scrape. If you want to scrape all places available, set this value to <code>9999999</code>.

Limit the number of places per each search term/URL

Maximum number of images per place. If you fill in '0' or leave the field empty, no images will be scraped. To extract all images, type <code>99999</code> into the field. The higher the number, the slower the search.

Choose what information you would like to extract. For maximum efficiency, the default setup only includes basic information and one image. If you need more, just check the information you would like to get and/or increase the number of images below. If you want to make the output smaller, you can pick or omit fields in the export options.

🖼 Limit number of images (images are very slow)

This is the maximum number of reviews per place. If you fill in '0' or leave the field empty, no reviews will be scraped. To extract all reviews, type '99999' into the field. Each output place item can contain maximum 5000 reviews so in case more reviews are extracted, a duplicate place is stored with the next 5000 reviews and so on. Enabling this feature might slow the search down.

If you want to extract places reviews in your results, fill in the input fields below. Note that some of the fields contain personal data. Personal data is protected by GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers.

Limit number of reviews

If checked, the scraper will produce one row of results for each review. The other information about the place is copied into each row. Choose this if you need CSV-friendly results.

One review per row

The results will only show data from the search page, but no other details. This speeds up the scrape significantly. For each place it extracts `isAdvertisement`, `title`, `placeId`, `location`, `address`, `neighborhood`, `street`, `city`, `postalCode`, `state`, `countryCode`, `categories`, `url`

🔗 I want to scrape only data from search page (faster)

Set the postal code of the area where the search should be carried out, e.g., <code>10001</code>. Select a country as well to ensure the correct postal code is used. Warning: you can only input one postal code at a time.

Postal code (Enter only ONE postal code. Combine with country, not city.)

If you fill in a keyword(s), only reviews containing the keyword(s) will be scraped. If you leave the field empty, all reviews will be scraped.

Filter reviews by keyword(s)

Define the order in which reviews should be sorted.

Sort reviews by

Format should be YYYY-MM-DD, e.g., 2022-02-20

Only scrape reviews newer than [date]

Response from owner

Review ID

Review URL

Reviewer ID

If checked, the scraper will extract the reviewer's name - please, keep in mind the above personal data warning.

Reviewer name

Reviewer URL

Restrict what places are scraped based on matching their title with provided search term

You can restrict the places you get back to match the exact title of the place. This is useful for example if you want to scrape only certain chain of restaurants, e.g. "mcDonald's" or "starbucks". In that case only placees that have mcdonald's in title will be scraped. Don't change this unless you are sure you know what you are doing.

Restrict places based on title matching

Type what you want to search for as you would write it into the Google Maps search bar, e.g. <code>restaurant</code> or <code>pet shelter</code>. Putting location directly into search terms, e.g. <code>restaurant Pittsburgh</code>, is not recommended because you will only get max 120 results per search (Google's scrolling limit on a single search) but it can be done for speed. You can also use direct place IDs here in the format <code>place_id:ChIJ8_JBApXMDUcRDzXcYUPTGUY</code>

🔍 Search term(s)

Copy a Google Maps URL and paste it here. Leave empty if you have already filled the Search term field. The only valid format for URLs contains either <code>/maps/search</code> or <code>/maps/place</code>, e.g., <code>https://www.google.com/maps/search/falafel+new+york/..</code>

Max 120 results per search URL. To overcome this limit, use geolocation parameters above &#8593;

Google Maps URLs

Set a state where the search should be carried out, e.g. <code>Massachusetts</code> (mainly for US addresses).

State (combine with other geolocation inputs or the scraper will scan the whole state!)

You don't need to set this parameter. A good value is chosen automatically based on the chosen location, see <a href='https://apify.com/drobnikj/crawler-google-places#automatic-zooming' target='_blank' rel='noopener'>readme</a> for more info. Changing the zoom manually may cause the cost to vary significantly.

If free text Location doesn't yield desired area, you can try combination of specific location types or custom geolocation (polygon or circle) (you must remove Location field first because it has preference). You can also override the <a href='https://apify.com/drobnikj/crawler-google-places#automatic-zooming' target='_blank' rel='noopener'>automatic zooming</a> to make the scrape deeper or more shallow. Keep in mind that higher zoom significantly increases compute usage.</a>

Override zoom level

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Extract data from hundreds of Google Maps businesses and locations in seconds. Get Google Maps data including reviews, images, opening hours, location, popular times & more. Go beyond the limits of...

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