Friday, 4:40 p.m. A client with 212 locations wants last quarter’s reviews in a dashboard by Monday. The script that pulled them last month now returns empty arrays because Google changed the markup again. Somebody on your team will spend the weekend on parsers instead of analysis.
That is the real cost of a Google Maps review scraper API: not the first call, but the tenth month. Blocking, parser breakage, thin coverage per area, and reviews bolted on as an afterthought all show up late. We weighed coverage per location, review depth, freshness, behavior at volume, and who owns maintenance.
What Separates Review APIs From Map Scrapers
Reviews and listings are different datasets. Treat them that way before comparing vendors.
Listings versus reviews
Some tools return business names, addresses and ratings in one call but serve reviews through a separate endpoint. Know which you are buying.
Coverage per area
A single search rarely returns everything near a point. Depth per area, and whether you can draw a custom area, decide how complete a lead list or rank report gets.
Queue versus live
Live requests answer in seconds. Queues suit bulk pulls and scheduled review collection. Most multi-location workloads need both.
Who absorbs breakage
Blocking and parser changes are somebody’s job. The question is whether it is yours or the vendor’s.
Integration surface
If the person wiring this up lives in n8n, Make or Google Sheets, native connectors save real days.
How We Built the Shortlist
We started from vendors that publicly advertise Google Maps data through an API and cut anything that only offered raw proxies with no Maps-specific endpoint. Then we read documentation: what a listing response contains, whether reviews have their own endpoint, which output formats exist, how bulk work is queued, and which automation tools connect natively.
Pricing model counted, too. Subscription, usage-based and pay-as-you-go suit different volume patterns, so we noted which each vendor uses without chasing figures that change monthly.
We also read user reviews on Trustpilot and G2, looking for patterns in support quality, onboarding friction and reliability complaints, rather than leaning on any single score. Hands-on testing was limited to what free tiers and sample calls allow, and none of it shaped a ranking claim.
Ratings at a Glance
| Company | Trustpilot | G2 |
| Scrape.do | 4.8/5 (67) | 5/5 (5) |
| DataForSEO | 4.5/5 (67) | 4.4/5 (16) |
| Apify | 4.8/5 (745) | 4.7/5 (637) |
| Oxylabs | 3.9/5 (731) | 4.5/5 (393) |
| Scrapingdog | 4.6/5 (539) | 3/5 (5) |
| Outscraper | 4.6/5 (323) | 3.9/5 (4) |
| Bright Data | 4.3/5 (985) | 4.7/5 (339) |
The 7 Best Google Maps Review Scraper APIs
1. DataForSEO
Local SEO agencies tracking map rankings for dozens of client locations tend to hit the same wall: the data is easy to fetch once and painful to keep fetching. DataForSEO takes the collection work off the team’s plate. Its Google Maps SERP API hands back local business listings, each with an address, a review score and opening hours, and a single area search can reach up to 700 of them. Targeting works down to regions and districts, or to a custom shape drawn directly on the map.
Live requests come back in seconds. Queued tasks cover bulk pulls, so a nightly sweep across every client location does not need a babysitter.
For a Google Maps review scraper API that also reaches the rest of local data, DataForSEO’s Business Data API adds Google Business Profile information, Google Reviews from any location in any language, plus Trustpilot, Tripadvisor and Google Hotels data. Rank tracking, reputation monitoring and lead lists share one integration and one account.
On Trustpilot, DataForSEO scores 4.5/5 from 67 reviews, and one user there wrote: “A decent range of functionality at competitive prices, well documented and easy to integrate.”
An MCP server connects it to Claude, Cursor and ChatGPT, and connectors cover n8n, Make, Zapier and Google Sheets. Google Reviews and Business Profile data arrive mainly through a task queue, which suits scheduled pulls better than instant lookups.
Pay-as-you-go billing fits anyone whose volume swings month to month, and the whole setup suits multi-location brands, local SEO agencies, reputation tools, data teams and solopreneurs that want map rankings, reviews and lead lists running from one account.
2. Scrape.do
Scrape.do is a web scraping API run by PACKEND, LLC, built around the idea that you should pay only when a request succeeds. It states 10B+ requests a month and a pool of 150 million proxies.
Its ready-made scraper APIs span Google Maps, Google Search, Google Shopping, Google Hotels, Google News and Google Trends. That breadth helps teams that want one vendor for maps plus adjacent Google surfaces.
Trustpilot shows 4.8/5 across 67 reviews, and G2 shows 5/5 from 5 reviews, a small sample on the latter. Billing is subscription-based, in the accessible tier.
Pull a few thousand Maps results through a sample project before committing to see how the response shape maps onto your schema. It suits developers who want a general scraping API with a Google Maps endpoint and success-only billing.
3. Apify
Apify launched in 2015, started by Jan Čurn and Jakub Balada out of the Y Combinator Fellowship, and was built in Prague, Czech Republic. Its marketplace model is the differentiator: Apify Store lists more than 100,000 ready-made scrapers called Actors, so Google Maps listing and review scrapers come from a catalog instead of a single vendor endpoint.
The company also maintains Crawlee, a web scraping and crawling library, and reports 91,000 customers. An MCP server gives AI agents access to Actors.
The trade-off of a marketplace is variability. Different Actors have different maintainers, output shapes and update cadences, so one Maps Actor may suit your schema better than another.
G2 shows 4.7/5 from 637 reviews. Pricing blends subscription with usage, in the mid-range tier. It fits teams comfortable choosing among community-built Actors and building custom pipelines around them.
4. Oxylabs
Founded in 2015 and based in Vilnius, Lithuania, Oxylabs comes from the proxy infrastructure world. It reports 15,000+ clients, 500+ employees and a pool of 177M+ proxies, and acquired the self-service proxy platform Webshare in 2022.
For Maps work, that infrastructure heritage matters mostly at scale: heavy, sustained collection where blocking is the main risk. Enterprise buyers often start here for that reason.
G2 shows 4.5/5 from 393 reviews, while Trustpilot sits at 3.9/5 across 731, a gap worth reading before you commit. The premium tier is subscription-based.
Small agencies may find the platform more than a review-only workload needs. Enterprise data teams running high-volume collection, where proxy scale and blocking resilience decide the project, are the natural fit.
5. Scrapingdog
Manthan Koolwal founded Scrapingdog with co-founder and CTO Darshan Khandelwal; the website launched in April 2020 and the company started in 2021. Its Google Maps API returns business names, addresses, hours, phone numbers, ratings and review counts.
Reviews are served through a separate endpoint, so a review-heavy workflow means a second integration step beyond the listing call. Plan for that in your pipeline design.
Trustpilot shows 4.6/5 from 539 reviews. The G2 profile is thin, at 3/5 from 5 reviews. Billing is subscription-based, in the accessible tier. Small teams that want a straightforward Maps listings API at an approachable price point will find it a comfortable match.
6. Outscraper
Outscraper is based in Bee Cave, Texas, and treats Google Maps as its core product. Google Maps Scraper and Google Maps Reviews Scraper are its lead services, so reviews are a named product instead of an extra endpoint.
Around them sit scrapers for emails and contacts, Google Search, Amazon, Tripadvisor, Trustpilot and Yellow Pages, plus a family of APIs. Lead-generation teams get contact enrichment next to the listings.
Trustpilot shows 4.6/5 across 323 reviews. G2 is 3.9/5 from just 4 reviews. Pay-as-you-go billing in the accessible tier suits irregular volume, which makes it a good fit for lead-generation and market research teams that want listings, reviews and contact data from one scraper family.
7. Bright Data
Bright Data was founded in 2014 and formerly named Luminati Networks. It offers proxy networks, AI-powered web scraping tools and refreshed datasets, and states that it serves more than 50,000 customers with over 600 team members.
Refreshed datasets are the angle for Maps work: buy existing data instead of collecting it live. Teams that want a snapshot of listings across a market may prefer that to running ongoing requests.
G2 shows 4.7/5 from 339 reviews, and Trustpilot shows 4.3/5 from 985. Subscription pricing in the premium tier fits large organizations that want proxies, scraping tools and pre-collected datasets under one vendor.
Choosing by Workload, Not by Logo
Match the vendor to the shape of the work.
Agencies and products built on local data. DataForSEO suits teams tracking rankings, reviews and profiles across many locations from one account, with queues for bulk pulls and live mode for quick checks. Outscraper fits lead-list builders who want reviews and contacts in one family.
Marketplace and flexibility. Apify rewards teams that enjoy assembling pipelines from a catalog and can vet Actors themselves.
Scale and infrastructure. Oxylabs and Bright Data suit organizations where volume and blocking resistance dominate, and Bright Data adds ready-made datasets.
Lean, general-purpose scraping. Scrape.do and Scrapingdog fit smaller teams that want a Maps endpoint without a large platform. Remember Scrapingdog serves reviews through its own endpoint.
Before you sign, ask who fixes it when Google changes the page, and whether reviews come back in the shape your dashboard expects. Those two answers matter more than any rating in the table.