Is it legal to scrape Google Maps reviews?

Scrapernode only collects publicly available data from Google Maps. We comply with applicable laws and platform terms. Our infrastructure handles rate limiting and respectful crawling automatically.

How much does it cost to scrape Google Maps reviews?

Each reviews record costs 1 credit. Credits start at $9 for 3,000 credits (Starter plan). Volume discounts are available — the Scale plan offers 100,000 credits for $149.

What data fields are included when scraping Google Maps reviews?

The Google Maps Reviews scraper returns 21 structured fields including url, place_id, place_name, country, address, review_id, and more. See the full data dictionary below for all available fields.

How fast is Google Maps reviews scraping?

Fresh scrapes typically complete in under 60 seconds per batch of URLs. Quick Lookups return pre-collected data instantly. For bulk operations, you can submit thousands of URLs in a single job.

Can I automate Google Maps scraping?

Yes. Scrapernode offers a REST API, webhooks, and native integrations with n8n, Make, and Zapier. You can schedule recurring scrapes or trigger them from your own applications.

Google Maps

How to Scrape Google Maps Reviews

Extract reviews data from Google Maps at scale

Step-by-step guide

Choose your Google Maps reviews scraper

Navigate to the Google Maps Reviews scraper and select "Fresh Scrape" for real-time data or "Quick Lookup" for pre-collected records. Each record costs 1 credit.

Provide your Google Maps input URLs

Paste the Google Maps URLs you want to scrape — one per line, or upload a CSV. Scrapernode accepts direct profile links, search result URLs, and hashtag pages.

Launch your scraping job

Click "Start Extraction" to begin. Scrapernode handles proxy rotation, rate limiting, and anti-bot detection automatically. Jobs typically complete in under 60 seconds per batch.

Download structured data

Once complete, download your results as JSON or CSV. Each record includes 21 structured fields like url, place_id, place_name, country, and more.

Automate with webhooks or API

Set up webhooks to receive data automatically when jobs complete, or use the REST API for programmatic scraping. Integrate with n8n, Make, or Zapier for workflow automation.

Cost per record

1 credit

Output fields

21 fields

Output formats

JSON, CSV

Sample Output

Preview the data you'll receive — 5 sample records

Record 1 of 5

Url

sample_url

Place Id

sample_place_id

Place Name

sample_place_name

Country

sample_country

Address

600 Guerrero St, San Francisco, CA 94110

Review Id

sample_review_id

Reviewer Name

sample_reviewer_name

Reviews By Reviewer

1,000

Photos By Reviewer

sample_photos_by_reviewer

Reviewer Url

sample_reviewer_url

Reviewer Is Local Guide

Yes

Review Text

Incredible food and atmosphere. The tasting menu was a perfect blend of innovation and comfort.

Review Rating

1,000

Review Datetime Utc

sample_review_datetime_utc

Review Likes

1,000

Review Response

sample_review_response

Review Response Datetime Utc

sample_review_response_datetime_utc

Review Images

sample_review_images

Total Reviews

1,000

Avg Rating

1,000

Input Url

https://www.linkedin.com/in/sarahchen

Data Dictionary

21 fields returned per record

Link to the Google Maps page of the place (100.00% fill rate)

Unique identifier for the place (99.94% fill rate)

Name of the place (99.92% fill rate)

Country of the place (99.13% fill rate)

Full address of the place (99.14% fill rate)

Unique identifier for the review (100.00% fill rate)

Name of the reviewer (100.00% fill rate)

Total reviews written by the reviewer (100.00% fill rate)

Total photos uploaded by the reviewer (99.70% fill rate)

URL to the reviewer's profile (100.00% fill rate)

Whether the reviewer is a Google Local Guide (100.00% fill rate)

Text content of the review (82.45% fill rate)

Star rating given in the review (1-5) (100.00% fill rate)

Date and time the review was posted (UTC) (100.00% fill rate)

Number of likes the review received (100.00% fill rate)

Owner response to the review (18.32% fill rate)

Date and time of the owner response (UTC) (18.04% fill rate)

Images attached to the review (20.15% fill rate)

Total number of reviews for the place (99.92% fill rate)

Average rating of the place (99.73% fill rate)

The URL that was entered when starting the scraping process (100.00% fill rate)

Frequently Asked Questions

Common questions about How to Scrape Google Maps Reviews

Ready to scrape Google Maps?

Start extracting google maps reviews data in minutes. No code required — just paste your URLs and go.

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