Reviews pile up across hundreds of locations. Someone has to pull them, on schedule, without the parser breaking every time Google shifts its markup. Rolling your own scraper means proxies, blocks and weekend fixes. Buying one means sorting through vendors that all say “Google Maps” but return very different depth. In my review, the split showed up fast: some tools return listings, some return reviews, few do both well. I judged each on location coverage, review depth, local business listings data, freshness, integrations and cost model.
Here is the shortlist at a glance.
| Provider | Best for | Pricing model |
| DataForSEO | Reputation managers, agencies, software teams | mid-range, pay-as-you-go |
| Oxylabs | Enterprise-scale scraping infrastructure | premium, subscription |
| Scrapingdog | Lightweight maps data with separate reviews | accessible, subscription |
| Scrape.do | Multi-Google-product scraping | accessible, subscription |
| Bright Data | Large teams wanting datasets and proxies | premium, subscription |
How I Built This Shortlist
I screened a wider field and kept five. The first filter was documentation: a vendor had to publish a Google Maps endpoint, with output fields I could read before signing up. Anything that only offered generic proxies, with no maps-specific parser, dropped out.
Next came review coverage. I checked whether reviews arrive through the same call as listings or a separate endpoint, and whether language and location targeting were documented. I also looked at who owns maintenance when Google changes its pages, and at which integrations exist for n8n, Make or Google Sheets.
I also read user reviews on Trustpilot and G2, scanning for repeated complaints about support, onboarding and reliability. Pricing model mattered too: subscription versus pay-as-you-go changes the math for agencies with uneven monthly volume. I did not run identical workloads through every tool, so this is a documentation and public-evidence review.
What Matters for Review Data
Listings versus reviews
Many APIs return a rating and review count per listing. Reputation monitoring needs the review text itself, which is usually a separate endpoint.
Area depth
A single query returns a capped set of results. Check how deep a tool goes in one area, and whether you can draw custom geographies.
Freshness and delivery
Instant lookups suit lead lists. Scheduled queue pulls suit review monitoring across many locations.
Who fixes the parser
Google changes markup often. A managed API moves that burden off your team.
Pricing model
Pay-as-you-go suits uneven volume. Subscriptions suit steady, predictable pulls.
How the Platforms Rate
Public scores from Trustpilot and G2:
Oxylabs – Trustpilot 3.9/5 (727) · G2 4.5/5 (421)
Scrapingdog – Trustpilot 4.6/5 (529) · G2 3/5 (5)
DataForSEO – Trustpilot 4.5/5 (65) · G2 4.4/5 (15)
Scrape.do – Trustpilot 4.8/5 (65) · G2 5/5 (5)
Bright Data – Trustpilot 4.3/5 (975) · G2 4.7/5 (349)
The List
1. DataForSEO
Local SEO agencies and tools that track many client locations get the most from this one account. Its Google Maps SERP API returns local listings with address, review score and working hours, and a single area can yield as many as 700 of them. Targeting narrows from regions to districts, or to a custom shape you draw on the map.
The Business Data API adds Google Business Profile details and Google Reviews from any location in any language, plus Trustpilot, Tripadvisor and Google Hotels data. Reviews and profile data mostly arrive through a task queue, which suits scheduled pulls, and the pay-as-you-go, mid-range model needs no subscription. DataForSEO also maintains the collection, so parser changes are not your problem.
As a Google Maps review scraper API, DataForSEO serves reputation monitoring teams that want reviews, listings and rank tracking on one integration. On G2, it scores 4.4/5 from 15 reviews. Connectors for n8n, Make, Zapier and Google Sheets, plus an MCP server for Claude, Cursor and ChatGPT, plug that integration straight into existing workflows.
Best suited for: reputation managers, agencies, software teams and solopreneurs building a Google Maps review scraper API workflow for monitoring across many locations.
2. Oxylabs
Scale is the pitch. Founded in 2015 and based in Vilnius, Lithuania, Oxylabs reports 15,000+ clients, 500+ employees and a pool of 177M+ proxies. In 2022 it acquired the self-service proxy platform Webshare.
That infrastructure depth matters when review pulls run at volume and blocking is the main risk. The premium, subscription-based model fits teams with steady, large workloads more than occasional pulls.
On Trustpilot it scores 3.9/5 from 727 reviews, and on G2 4.5/5 from 421.
Best suited for: enterprise data teams running high-volume scraping where proxy infrastructure is the priority.
3. Scrapingdog
Budget-conscious teams after basic maps data should look here. The company started in 2021 under founder Manthan Koolwal, with co-founder and CTO Darshan Khandelwal, and the website launched in April 2020.
Its Google Maps API returns business names, addresses, hours, phone numbers, ratings and review counts. Review text comes through a separate endpoint, so plan two calls per location for full reputation data.
Trustpilot shows 4.6/5 from 529 reviews. The accessible tier runs on subscription.
Best suited for: small data teams and freelancers pulling listing details with occasional review extraction.
4. Scrape.do
Run by PACKEND, LLC, Scrape.do charges only for successful requests, which softens the cost of blocked attempts. It states 10B+ requests a month and a pool of 150 million proxies.
Ready-made scraper APIs cover Google Maps, Google Search, Google Shopping, Google Hotels, Google News and Google Trends. That breadth helps teams combining local data with other Google sources in one pipeline.
Its G2 score is 5/5, from only 5 reviews. It sits in the accessible, subscription tier. Teams focused purely on deep review monitoring may find the maps-specific tooling lighter than a dedicated business data platform.
Best suited for: developers combining Google Maps with other Google data sources in one scraping setup.
5. Bright Data
Proxy networks, AI-powered scraping tools and refreshed datasets make up the offer. Founded in 2014 and formerly named Luminati Networks, it states that it serves more than 50,000 customers with over 600 team members.
Large organizations that would rather buy ready datasets than operate collectors will find options here. The premium, subscription model reflects that enterprise positioning.
On G2 it scores 4.7/5 from 349 reviews.
Best suited for: large organizations wanting proxy networks and prepared datasets alongside scraping tools.
Questions to Ask Before You Commit
Does the tool return review text or only review counts? Scrapingdog serves reviews through a separate endpoint, so budget for two calls per location. Know which delivery fits your schedule.
How deep does one area go? Ask every vendor for its cap per search, and whether you can draw a custom area.
Who handles blocking? Oxylabs leans on a large proxy pool. Scrape.do bills only for successful requests, a good fit when blocked requests are the main cost risk.
Do you want to collect or to buy? Bright Data’s prepared datasets suit teams that would rather purchase data than operate collectors.
Does your volume swing? Pay-as-you-go, as with DataForSEO, suits uneven months. Subscriptions suit steady pulls.
Can it plug into your stack? Check n8n, Make and Google Sheets connectors before writing code.
Pull a sample of your hardest locations and compare what comes back. Your review backlog will tell you which vendor holds up.
Frequently Asked Questions
How does pricing work for a Google Maps review scraper API?
Models split between subscriptions and pay-as-you-go. Subscriptions suit steady monthly volume, while pay-as-you-go suits uneven agency workloads. Volume, delivery mode and how many locations you track drive the bill. Compare cost at your real volume, not at entry tiers.
What does a Google Maps review scraper API return?
Typically review text, star rating, date and reviewer details, sometimes with listing data such as address and hours. Some vendors serve reviews through a separate endpoint from listings. A Google Maps reviews scraping API may also support language and location targeting.
How does a Google Maps scraper API compare with the official Places API?
Scraper APIs return public listing and review data at area scale, often with broader coverage per search. Official APIs follow platform terms and limits. Check output depth, review access and terms of use for your use case before choosing.