A client wants map rankings for forty locations. Another wants every plumber in three counties. Your scraper broke overnight because Google changed a parser. Again.
Agencies that track Google Maps at scale hit the same walls: thin results per area, review data bolted on through a second tool, blocking handled by someone on your team at 2 a.m. Spreadsheets and n8n flows depend on the feed staying alive.
We judged each option on coverage per location, depth of results per area, review data, freshness, and who owns the maintenance burden.
How the Shortlist Was Cut
We started from the providers that agencies and local SEO tool builders actually discuss when they need Google Maps data, then read documentation, endpoint lists, output formats, integration pages and pricing models. Where a free tier or sample request existed, we looked at what it returned, in general terms rather than as a benchmark.
Three filters did the cutting. A provider had to expose Google Maps listings through an API or a clearly documented scraper, not only a browser extension. Review data had to be reachable somewhere in the same ecosystem. And someone other than the buyer had to own parser upkeep.
User reviews on Trustpilot and G2 shaped the rest. We read them for patterns around onboarding friction, support responsiveness and what breaks at volume.
No hands-on benchmark sits behind the rankings below. The assessment rests on public documentation, published facts and review data, and it can be checked against the same sources.
What Agencies Should Weigh
Four questions separate a usable Maps feed from a maintenance project.
Depth per area
A scraper that returns twenty listings per query is a spot-check tool. Agencies pulling a whole district need to know the maximum results per search area and how the provider handles geo-targeting below city level.
Review access
Rankings tell you where a client stands. Reviews tell you why. Check whether review collection works across languages and locations, and whether it arrives live or through a queue.
Who handles blocking
Proxies, CAPTCHAs and parser changes are real costs. Ask whether the provider absorbs them or hands you a toolkit.
Fit with your stack
If the team lives in Google Sheets, n8n or Make, a native connector saves weeks. If you are building a product, raw API ergonomics matter more.
Ratings Across Review Platforms
| Provider | Trustpilot | G2 |
| Oxylabs | 3.9/5 (754) | 4.5/5 (390) |
| DataForSEO | 4.5/5 (66) | 4.4/5 (17) |
| Scrapingdog | 4.6/5 (566) | 3/5 (4) |
| Outscraper | 4.6/5 (305) | 3.9/5 (5) |
| Apify | 4.8/5 (748) | 4.7/5 (628) |
| HasData | 4.5/5 (46) | 4.8/5 (5) |
The Six Options
1. DataForSEO
Its Google Maps SERP API hands back local business listings, each with an address, a review score and opening hours. A single search area can yield as many as 700 listings. Geo-targeting reaches down to regions and districts, or to a custom shape you draw directly on the map. Live mode responds in seconds, queued tasks handle bulk pulls, and DataForSEO runs the collection itself, so parser changes land on its engineers instead of yours.
For a team choosing a Google Maps scraper API for agencies, DataForSEO covers the whole local stack from a single account. The Business Data API adds Google Business Profile information and Google Reviews from any location in any language, plus Trustpilot, Tripadvisor and Google Hotels data and a Business Listings database of its own. Rank tracking, reputation monitoring and lead lists can run on one integration.
Billing is pay-as-you-go with no subscription, in the mid-range tier. Connectors exist for n8n, Make, Zapier and Google Sheets, and an MCP server works with Claude, Cursor and ChatGPT.
On Trustpilot, DataForSEO scores 4.5/5 from 66 reviews. One client there said the API works well for their project and delivers data at a much lower cost than SaaS SEO services.
Agencies tracking many client locations get an API that stays up without anyone babysitting a scraper.
2. Apify
Apify launched in 2015 from the Y Combinator Fellowship, founded by Jan Čurn and Jakub Balada and built in Prague, Czech Republic. Its Apify Store lists more than 100,000 ready-made scrapers called Actors, and Google Maps extractors are among the most used.
The model is flexible and slightly different from a plain API. You pick an Actor, configure it, and run it on Apify’s infrastructure. Crawlee, the company’s open-source crawling library, lets engineering-heavy teams build custom collectors. Apify reports 91,000 customers and offers an MCP server that gives AI agents access to Actors.
Quality varies between Actors because many are community-built, so agencies should check maintenance dates before committing a client workflow.
Apify scores 4.8/5 on Trustpilot from 748 reviews. Billing combines a subscription with usage, placing it mid-range.
3. Oxylabs
Premium infrastructure is the pitch. Oxylabs was founded in 2015 and is based in Vilnius, Lithuania, and it reports more than 15,000 clients, over 500 employees and a pool of 177M+ proxies. In 2022 it acquired the self-service proxy platform Webshare.
Its scraping products sit on that proxy backbone, which matters when you hit blocking at scale. The trade is cost and weight: pricing is premium and subscription-led, so smaller agencies may find the commitment heavy for a single Maps workflow.
Oxylabs carries a 4.5/5 G2 rating from 390 reviews and 3.9/5 on Trustpilot from 754.
Enterprise-grade reliability is the draw. A five-person local SEO shop pulling a few hundred listings weekly may be paying for capacity it never uses.
4. Outscraper
Outscraper, based in Bee Cave, Texas, leads with two services: Google Maps Scraper and Google Maps Reviews Scraper. Around them sit scrapers for emails and contacts, Google Search, Amazon, Tripadvisor, Trustpilot and Yellow Pages, plus a family of APIs.
That breadth suits lead-generation agencies. One platform pulls business listings, then enriches them with contacts, with reviews on a dedicated scraper. Pay-as-you-go billing in the accessible tier keeps entry easy.
Trustpilot shows 4.6/5 from 305 reviews. G2 has only five reviews at 3.9/5, so treat that figure cautiously.
The product leans toward exports and ready-made runs over deep API ergonomics, which is a fit for data pulls and a weaker one for a product built on live lookups.
5. Scrapingdog
Manthan Koolwal founded Scrapingdog with co-founder and CTO Darshan Khandelwal. The website launched in April 2020 and the company itself started in 2021. Its Google Maps API returns business names, addresses, hours, phone numbers, ratings and review counts, with full reviews served through a separate endpoint.
Subscription pricing in the accessible tier makes it a low-friction trial for agencies testing a Maps workflow. The split between listings and reviews endpoints means two calls in your integration where some rivals give one.
Scrapingdog scores 4.6/5 on Trustpilot from 566 reviews. G2 shows 3/5, but from only four reviews, which is too few to read much into.
6. HasData
HasData sells a web scraping service built for data pipelines and AI, with 63 API endpoints and 21 no-code scrapers. For this use case, the relevant pieces are the Google Maps Search API and a no-code Google Maps Scraper.
Two audiences are served at once: developers calling the API, and account managers who just want a spreadsheet. HasData says it is trusted by 1.3k+ customers and charges only for successful requests, which softens the sting of failed calls.
Subscription billing in the accessible tier. Trustpilot shows 4.5/5 from 46 reviews, and G2 shows 4.8/5 from just five, so the sample is small on both.
Choosing Without Regret
Three groups emerge once the list is laid side by side.
Agencies, tool builders, growth teams and solopreneurs tracking many locations. DataForSEO suits this profile best: map rankings and reviews across many client locations, with listings, Google Business Profile data and reviews arriving through one account and maintenance handled upstream. Apify fits the technical agency that prefers assembling its own collectors from Actors and Crawlee, and wants a marketplace of scrapers to start from.
Volume and infrastructure buyers. Oxylabs sits here, with a premium tier and a proxy network built for scale. It suits large agencies and data teams with high-volume, infrastructure-sensitive scraping needs. Reasonable for enterprise workloads, heavy for light ones.
Lead-gen and budget-conscious shops. Outscraper, Scrapingdog and HasData all sit in the accessible tier. Outscraper suits lead-list builders who want listings, reviews and contact enrichment in one tool. Scrapingdog fits small agencies that want an inexpensive subscription API for listing data. HasData fits mixed teams where some members need the API and others need a no-code scraper.
One test cuts through the rest: when the parser breaks next month, do you want the provider’s engineers or your own on the fix?
Frequently Asked Questions
What does a Google Maps scraper API for agencies return?
Typically business names, addresses, ratings, review counts, working hours and phone numbers per listing. Depth differs by provider: DataForSEO reaches up to 700 listings in an area, while others return fewer per query. Reviews often come from a separate endpoint or task.
How does Google Maps scraper API pricing usually work?
Models split into pay-as-you-go, subscription, and subscription plus usage. In this comparison, DataForSEO and Outscraper are pay-as-you-go, Apify combines subscription with usage, and Oxylabs, Scrapingdog and HasData use subscriptions. Check minimum commitments before connecting a client workflow.
Is a Google Maps scraper API better than the official Places API for agencies?
They solve different problems. Scraper-style APIs return what appears in map search results, which is what rank tracking and area-wide lead lists need. The official Places API is built around place lookups and app features. Agencies tracking rankings usually need the former.
Can a Google Maps scraper API for agencies work with n8n or Google Sheets?
Yes, with the right provider. DataForSEO offers connectors for n8n, Make, Zapier and Google Sheets. HasData offers no-code scrapers for spreadsheet-first teams, and Apify integrates with common automation tools. Confirm connector support before building client reporting around it.
How do local business listings data APIs handle reviews?
Reviews are usually separate from listing data. Scrapingdog serves them through its own endpoint, and Outscraper runs a dedicated reviews scraper. DataForSEO collects Google Reviews in any language through its Business Data API, mainly as scheduled task-based pulls.
