scrapernode
  • All Platforms
  • Use Cases
  • Categories
  • Data Points
  • How-To Guides
  • Integrations
  • Compare
Platforms
  • LinkedInLinkedIn5
  • Google MapsGoogle Maps2
  • InstagramInstagram4
  • TikTokTikTok8
  • XTwitter/X2
  • YouTubeYouTube3
  • FacebookFacebook10
  • Jobs
  • Billing
  • Docs
  • Settings

© 2026 Scrapernode

scrapernode
PlatformsUse CasesHow-ToJobsBilling
ScrapeLinkedInLinkedInprofiles by search term
Scrape LinkedIn profiles by search term. Extract Google Maps business listings and reviews. Collect Facebook pages, groups and posts. Scrape Instagram profiles, reels and comments. Extract TikTok posts and creator profiles. Collect YouTube channels and video data. Scrape X / Twitter profiles and posts. Extract Indeed job listings and salaries. Collect Yelp business reviews and ratings.
Home/Integrations/How to Scrape Google Maps Reviews into n8n
Google Mapsn8n

How to Scrape Google Maps Reviews into n8n

Extract reviews data from Google Maps and send to n8n automatically

Step-by-step guide

1

Choose the Google Maps Reviews scraper

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

2

Set up your n8n connection

Install the Scrapernode community node from the n8n node library, or use the generic Webhook trigger node with your Scrapernode webhook URL. Configure the workflow to process incoming scraper data.

3

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 content pages.

4

Launch the 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.

5

Receive data in n8n

When the job completes, Scrapernode sends the full results to your n8n workflow. Each record includes 21 fields like url, place_id, place_name, country. Route the data to any downstream app — CRMs, databases, email tools, and more.

Cost per record

1 credit

Output fields

21 fields

Destination

n8n

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 into n8n

Ready to connect Google Maps data to n8n?

Start extracting google maps reviews data and send to n8n in minutes.

Go to Google Maps Reviews scraperBrowse all integration guides
No code requiredAuto-delivery to n8n21 data fields