Apify Google Maps Reviews Scraper: Reputation Data (2026)
The Apify Google Maps reviews scraper pulls every review on a business listing — rating, text, date, reviewer name, owner response — at the scale reputation work needs: whole competitor sets, all locations, on a schedule.
Where the [Maps business scraper](/blog/apify-google-maps-scraper) collects listings, this collects the opinions attached to them — the dataset local SEO runs on.
- Extracts rating, review text, date, reviewer, photos, owner-response per review
- Multi-location scrape: a franchise's 50 listings' reviews in one run
- Review velocity + sentiment trends = the local ranking signals GBP dashboards simplify
- Competitor reviews are free market research — complaints are positioning angles
Listings vs reviews: two scrapers, one stack
The Google Maps scraper pulls business data — names, phones, ratings counts. The reviews scraper goes one level deeper: the full text, dates and owner responses behind each listing's score.
Run them together: the listing scrape finds the businesses; the review scrape explains why they win or lose.
Setup: full review history in minutes
- Apify Store → Google Maps reviews scraper — input place URL, business name + city, or a list of place IDs
- Options max reviews, sort (newest first usually right), date range where supported
- Test on one location — inspect rating/text/date/owner-response fields — Test on one location — inspect rating/text/date/owner-response fields
- Full run your locations + the top 5-10 competitors' listings
- Export CSV/JSON — date field makes it time-series data immediately — Export CSV/JSON — date field makes it time-series data immediately
Apify
4.7Verified partnerWeb scraping and automation platform — Free / $49/mo Starter
Reputation management at scale
For multi-location brands: one scrape covers every location's reviews — flag new 1-2 star reviews weekly, track owner-response rates, and spot which locations are the reputation weak spots before the aggregate rating drops.
The response field matters: locations whose owners respond consistently rank and convert better — scraped data shows you exactly which competitors take reviews seriously.
Sort a competitor's reviews by date — a sudden cluster of 1-stars is a service failure you can position against; a cluster of generic 5-stars is bought reviews worth noting.
Apify
4.7Verified partnerWeb scraping and automation platform — Free / $49/mo Starter
Competitor review mining
A rival's 500 reviews are a market-research report: the recurring praises are their positioning (free copy angles for you to counter), the recurring complaints are your differentiation ("tired of waiting weeks? we answer same-day").
This is the local version of Amazon review mining — same extraction logic, applied to the platform local customers actually use.
Apify
4.7Verified partnerWeb scraping and automation platform — Free / $49/mo Starter
Local SEO signals
Review velocity (reviews/month), response rate, rating distribution and keyword mentions in review text are the reputation layer of local rankings — local SEO work built on scraped data rather than dashboard summaries.
Track your velocity vs competitors' monthly: the listing pulling reviews faster than everyone is winning the Map Pack fight, and the data shows exactly by how much.
Cadence and limits
Weekly scrapes on your locations + monthly on competitors is the right cadence — review deltas are the actionable signal. Costs stay trivial; per-listing runs are small even on big review counts.
Reviews are public — analysis is standard. Republishing review text verbatim in your marketing is not; summarize sentiment and patterns instead.
Never use scraped reviews to identify and contact individual reviewers — the data is for aggregate analysis and response management, not outreach.
Scraped Google Maps reviews are the reputation dataset local SEO runs on: velocity, sentiment, responses and competitor complaints — all listings, one schedule.
Scrape your top competitor's reviews this week — their complaint list is your positioning document.
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FAQ
Can you scrape Google Maps reviews?
Yes — review scrapers extract rating, text, date, reviewer and owner response from any public listing, in bulk across multiple businesses.
Is scraping Google reviews legal?
Reviews are public data — collecting for reputation management and analysis is standard practice. Republishing review text or contacting individual reviewers is not.
How to monitor reviews across locations?
Weekly scheduled scrapes on all your place IDs → new low-star reviews flagged automatically, response rates tracked per location, weak spots surface in the data.
What can you learn from competitor Google reviews?
Recurring complaints (your differentiation angles), praised specifics (their positioning to counter), review velocity (their local-SEO momentum), and response behavior (how seriously they take reputation).
Apify Google Maps reviews cost?
Small — per-listing runs cost cents; weekly monitoring on a dozen locations and competitors fits the free credit or Starter plan.
Tools mentioned in this article
Affiliate links — we may earn a commission at no cost to you.
Apify
4.7Verified partnerWeb scraping and automation platform — Free / $49/mo Starter
Alex Mercer
AI Marketing Strategist · 8+ years
Alex has tested 200+ AI marketing tools on real campaigns with $50,000+ in ad spend. He writes hands-on reviews based on actual usage data, not press kits. His work has helped 10,000+ marketers build AI automation stacks that generate real ROI.