Google Maps Reviews Scraper: Extract All Reviews at Scale

Pull every review for every business Google Maps returns for your query. Author name, star rating, publication date, review text, owner response. One opt-in flag on the NanoScrape scraper, priced at $1 per 1,000 places plus $0.30 per 1,000 reviews. No Places API quota, no per-request rate limits.

What you will build

A one-request scrape that returns every place matching your search query, each populated with the full set of available reviews. For a typical search returning 50 businesses, you get 50 rows with a user_reviews array on each. Use maxReviewsPerPlace to cap the count per place, or set it to 0 to pull everything Google has.

The reviews come from the same actor that scrapes the base business data, so you get both in one request. Base rate is $1 per 1,000 places (FREE tier) with a $0.30 per 1,000 reviews add-on that only kicks in when you turn reviews on.

Prerequisites

• A free Apify account. Sign up at the actor page. The free tier gives you $5 of usage credit every month, which covers about 5,000 places from this scraper.
• An HTTP client (curl, Postman, or any language's fetch). Or use one of the integrations at the end of this tutorial (n8n, Make, Zapier, Apify SDK, MCP).

{
  "searchStrings": ["restaurants in Paris"],
  "maxResultsPerQuery": 20,
  "language": "en",
  "includeReviews": true,
  "maxReviewsPerPlace": 10
}

curl -X POST \
  "https://api.apify.com/v2/acts/santamaria-automations~google-maps-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "searchStrings": ["restaurants in Paris"],
    "maxResultsPerQuery": 20,
    "language": "en",
    "includeReviews": true,
    "maxReviewsPerPlace": 10
  }'

Sort and filter reviews

The reviewsSort option changes which reviews Google surfaces first:

• most_relevant (default): Google's own ranking. Weighted mix of recency, helpfulness, and quality signals.
• newest: most recent first. Best for monitoring fresh sentiment.
• highest_rating: 5-star reviews first. Useful for pulling testimonial-style content.
• lowest_rating: 1-star reviews first. Best for competitor analysis or complaint monitoring.

To only pull reviews from a specific time window, add reviewsNewerThan in YYYY-MM-DD format. The scraper automatically switches to newest sort and stops as soon as it hits an older review, so the run is fast and cheap:

{
  "searchStrings": ["cafes in Berlin"],
  "maxResultsPerQuery": 50,
  "includeReviews": true,
  "reviewsNewerThan": "2026-06-01"
}

What the review object looks like

Every entry in user_reviews has the same shape:

{
  "name": "Marie Dupont",
  "profile_link": "https://www.google.com/maps/contrib/114798109881286611060",
  "rating": 5,
  "text": "Excellent cuisine, warm atmosphere.",
  "published_at": "2025-12-10",
  "response_from_owner": null
}

The parent record also includes reviews_per_rating, a breakdown of the full-history review distribution across the five stars. This is included in the base place-scrape (no per-review fee) and is useful for computing average sentiment cheaply when you don't need individual review text.

What it costs

Pay-per-event pricing. Three charge events:

• Place scraped: $0.001 per place (FREE / BRONZE tier). $0.00075 per place on GOLD, PLATINUM, and DIAMOND (25% cheaper). Includes all 30+ fields per place.
• Review extracted: $0.0003 per review, only when includeReviews is on. Same price across all tiers.
• Actor start: $0.00005 per GB of memory used at start. Trivial for typical runs.

Concrete examples on the FREE tier:

• 50 places with 10 reviews each: $0.20 ($0.05 places + $0.15 reviews).
• 1,000 places with 25 reviews each: $8.50 ($1.00 places + $7.50 reviews).
• 1,000 places with no reviews: $1.00.

For comparison, Google's Places API charges roughly $17 per 1,000 place-detail requests and caps reviews at 5 per place. For 1,000 places with 10 reviews each, this actor costs $8.50 versus Places API's ~$17 (and you get up to your chosen review cap, not just 5).

FAQ

Related resources

• Google Maps Scraper on Apify: full actor documentation, all input parameters, complete field reference.
• NanoScrape actor page: quick-reference specs, pricing, use cases.
• How to Scrape Google Maps with n8n: n8n workflow tutorial for the same actor, with a downloadable template.