Google & AI

Google Reviews Scraper API

Google Reviews at scale - every location, every competitor, themes and ratings over time.

From $15/mo · 1,000 free API calls to start · see pricing

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scrapeguys · google-reviews · sample response
{ "source": "google_reviews", "place": "Cafe Example, Indiranagar", "rating": 4.4, "reviews": 1823, "last_30d": 41, "top_topics": [ "service", "coffee" ] }
What you can extract

Structured, ready to use

  • Reviews & ratings per location
  • Review velocity over time
  • Topic & sentiment inputs
  • Owner responses
  • Competitor benchmarks
  • Photos & attributes
Example schema
FieldTypeExample
sourcestring"google_reviews"
placestring"Cafe Example, Indiranagar"
ratingnumber4.4
reviewsnumber1823
last_30dnumber41
top_topicsarray["service", "coffee"]

The full schema is customized to your workflow on the scoping call.

example request · async jobs API
curl -X POST https://api.scrapeguys.com/v1/jobs \
  -H "X-API-Key: $SCRAPEGUYS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"target": "google-reviews", "params": {"place_id": "ChIJbU60yXAWrjsR4E9-UejD3_g", "sort": "newest"}}'

Illustrative request - field names and params for your deployment are fixed on the scoping call and documented in your workspace. Full request/response reference: API docs.

Use cases

What teams build on this

Brand & location intelligence

Reviews mined at scale across locations and competitors.

AI answer monitoring

What AI assistants say about your brand, products and category.

SERP & meta coverage

Google surfaces tracked alongside your other channels.

Guides & answers: Google Reviews API Q&A · Reviews monitoring Q&A · What is a web scraping API?

How it works

Scoped, built and operated for you

1

Scoping call

Fields, cadence, geography - shaped to your workflow. Docs & samples shared here.

2

We operate it

Anti-bot, proxies, parsing, monitoring - managed and SLA-backed on our side.

3

Clean JSON in

Async job API, BI feed, dashboard or MCP - one schema, your stack.

FAQ

Frequently asked questions

Is this within Google's limits?
We collect publicly available data only, and every deployment is scoped with compliance in mind - what is captured, at what rate, from which surfaces. It is discussed openly on the scoping call and documented in the agreement, so your legal team sees exactly what runs.
Can you monitor specific queries, places or locations?
Yes. Your query set, your places, your locations, your cadence - from a fixed list of branded queries to full category sweeps across cities. Results come back as stable, typed JSON keyed to your inputs.
How do you handle Google layout changes?
Google surfaces change constantly - that is exactly why this is a managed API. Changes are detected by monitoring on our side and fixed by our engineers, usually before clients notice; your schema and field names do not move.
How do I get the API documentation and a data sample?
API documentation is public at scrapeguys.com/docs - request format, response schemas, status codes and worked examples. For a sample dataset on your exact targets, book a short scoping call: each deployment is customized to your schema, fields and volumes, and most teams have a sample in hand within a day.
How fast can this go live for us?
A scoped deployment typically goes live as a production API in 48-72 hours. That includes the scraper itself, a wrapper API shaped to your workflow, custom fields added to the response, monitoring and alerting on our side, and a staging key so your team can validate the schema before production traffic starts.
How is the data delivered - do we have to integrate an API?
An API is one option, not a requirement. The same data layer ships as REST JSON APIs with async jobs and webhooks, scheduled exports into Power BI, Looker, Snowflake, BigQuery or Google Sheets, a white-label dashboard your team signs into with zero integration, or MCP tools your AI agents call live. You can mix channels - API for engineering, dashboard for the commercial team - on one deployment.
What happens when the target site changes or a scrape fails?
That is our problem, not yours. Every source is monitored around the clock - layout changes, anti-bot updates and success-rate drops page our engineers before they page you, and your field names stay stable through redesigns because we absorb the change behind the schema. Failed requests are retried automatically, and anything that still fails is not billed: pricing is success-based.

Need Google Reviews data in production?

A 20-minute scoping call gets you documentation, samples and a timeline - most deployments are live in 48-72 hours.

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