Good Google Maps data comes down to three things. Depth per area, review coverage, and who absorbs the pain when Google changes its markup. Teams pick wrong by judging the demo response and ignoring what happens at 50,000 locations, when blocking, parser repairs and queue limits become your problem. A cheap endpoint that returns twenty listings per search will quietly wreck a lead-list project. So I checked coverage per location, result depth, review access, integrations, cost model and maintenance burden.
Quick Orientation Table
Here is the shortlist at a glance.
| Provider | Best for | Pricing model |
| DataForSEO | Growth teams, analysts, agencies, solo founders | mid-range, pay-as-you-go |
| Scrape.do | Multi-source Google scraping | accessible, subscription |
| Apify | Custom scrapers and AI agents | mid-range, subscription + usage |
| Outscraper | Maps and reviews exports | accessible, pay-as-you-go |
| Scrapingdog | Lightweight Maps API calls | accessible, subscription |
| HasData | Mixed API and no-code use | accessible, subscription |
| Bright Data | Enterprise proxy-backed scale | premium, subscription |
| Oxylabs | Large infrastructure buyers | premium, subscription |
What Shapes a Maps Data Choice
Official API versus scraper API
The official Places API is built for embedding place details in an app. Scraper APIs return the ranked local results users actually see, which is what rank tracking and lead generation need. Teams comparing a Google Maps scraper API against the official route should decide which of those two jobs they have.
Listing depth per area
Some tools return a handful of results per query. Others go deep into a specific area. Depth decides whether a district-level market map is complete or full of holes.
Reviews and profile data
Local business listings data is one thing. Reviews and Business Profile fields are another, and many providers serve them through separate endpoints.
Integration and maintenance
Check for n8n, Make, Zapier or Google Sheets connectors. Then ask who fixes the parser when Google changes the page.
Cost at volume
Compare pricing models, not headline numbers. Pay-as-you-go, subscription and usage-based plans behave very differently when a project spikes. Any Google Maps scraper API pricing comparison should be run on your own monthly volume.
How I Narrowed the List
I started from roughly a dozen candidates and cut by what was documented. A provider stayed only if it showed a dedicated Google Maps endpoint, a clear description of what fields come back, and a way to reach reviews. Generic proxy sellers with no Maps product dropped out.
I read documentation, product pages and output formats, and looked at integration options and pricing models. Where free tiers or sample requests existed, I tried them as a sanity check, nothing more. I also read user reviews on Trustpilot and G2, looking for recurring complaints about support, reliability and billing surprises.
Awards played no role. Verified company facts did, and I used only those the operators had confirmed. Ratings appear below as published, not interpreted.
The 8 Providers
1. DataForSEO
The Google Maps SERP API returns local results with each business’s address, review score and opening hours. A single search can reach up to 700 listings in a given area, with geo-targeting down to regions, districts or a custom area drawn on a map. DataForSEO is not an official Google API, and it runs the collection itself, so there is no scraper for your team to babysit.
DataForSEO is a Google Maps data API that agencies, local SEO tools and lead-generation teams can wire in once and keep. Requests can be answered in seconds through live mode, while bulk jobs go through queues.
The Business Data API sits in the same account: Business Profile information, Google Reviews from any location in any language, plus Trustpilot, Tripadvisor and Google Hotels data. Connectors cover n8n, Make, Zapier and Google Sheets, and an MCP server works with Claude, Cursor and ChatGPT. Access is pay-as-you-go, mid-range in tier.
On Trustpilot, DataForSEO scores 4.5/5 from 64 reviews. One user there wrote: “Overall, we found the richness and quality of the data to be highly competitive.”
Map listings, Business Profile data and reviews all run through one integration.
2. Scrape.do
Scrape.do is a web scraping API run by PACKEND, LLC, and it states 10B+ requests a month on a pool of 150 million proxies. Ready-made scraper APIs cover Google Maps, Search, Shopping, Hotels, News and Trends.
That breadth suits teams pulling several Google surfaces through one vendor. A growth team enriching Maps leads with Search or Shopping data does not need a second contract.
It charges only for successful requests, which keeps failed calls off the bill. Its footprint is wider than deep, so teams wanting Business Profile or multi-platform review data may need to pair it with something else.
3. Apify
Apify launched in 2015 out of the Y Combinator Fellowship, built in Prague by Jan Čurn and Jakub Balada. Its Apify Store lists more than 100,000 ready-made scrapers called Actors, and Google Maps has several.
Choice is the draw. Engineers can pick a community Actor, tune it, or build their own with Crawlee, the open-source crawling library Apify maintains. It reports 91,000 customers and offers an MCP server that gives AI agents access to Actors.
The cost of that choice: quality varies by Actor, and on its mid-range subscription-plus-usage plan you are the one choosing among them.
4. Outscraper
Based in Bee Cave, Texas, Outscraper leads with two products: 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.
Review exports are the obvious fit. Lead-list builders who want listings, reviews and contact enrichment from one vendor will find the lineup familiar, and the accessible, pay-as-you-go model keeps small experiments cheap to start.
On Trustpilot it shows 4.6/5 from 320 reviews, while G2 lists 3.9/5 from 5 reviews, a thin sample.
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 come through a separate endpoint, so a full pull means two integrations rather than one.
The Maps endpoint is simple to call, which suits small data teams that only need listing fields and can treat reviews as an add-on.
6. HasData
Sixty-three API endpoints and 21 no-code scrapers make HasData a mixed toolbox for data pipelines and AI work. Google Maps shows up twice: a Google Maps Search API and a no-code Google Maps Scraper.
The split matters for teams where analysts and engineers share the job. Analysts click through the no-code tool; developers call the API. HasData says 1.3k+ customers trust it and charges only for successful requests.
The catalog spans far more than Maps, so teams that want only local data will be paying attention to a lot of endpoints they never call.
7. Bright Data
Bright Data was founded in 2014 and was formerly named Luminati Networks. It offers proxy networks, AI-powered scraping tools and refreshed datasets, and states it serves more than 50,000 customers with over 600 team members.
Refreshed datasets sit alongside the proxy networks and scraping tools, which gives market research teams more than one way to get Maps-related data.
G2 shows 4.7/5 from 318 reviews. The platform is large, and a premium subscription is a lot of product for a team that only needs Maps listings.
8. Oxylabs
Founded in 2015 and based in Vilnius, Lithuania, Oxylabs reports 15,000+ clients, 500+ employees and a pool of 177M+ proxies. It acquired the self-service proxy platform Webshare in 2022.
The weight here is infrastructure. Enterprises already buying proxy capacity can consolidate scraping on a single vendor.
Trustpilot gives it 3.9/5 from 744 reviews, and G2 shows 4.5/5 from 405. The focus is proxy infrastructure, so teams looking for a purpose-built local data product may find the fit less direct.
Matching Provider to Workload
Local SEO tools and agencies tracking many locations: Scrapingdog fits lighter tracking where reviews can be a second call. DataForSEO fits growth teams, data analysts, agencies and solo founders who need a Google Maps data API with area depth and reviews in one account.
Lead-list and market research builders: Outscraper covers listings, reviews and contact scrapers. HasData serves mixed analyst and developer teams. Bright Data fits datasets bought pre-refreshed.
Engineering-led or enterprise buyers: Apify rewards teams that build custom Actors or feed AI agents. Scrape.do spans several Google surfaces. Oxylabs suits buyers already consolidating proxy infrastructure.
Run your own area, your own review needs and your own monthly volume through a trial before signing. Whichever provider survives that test is the one maintaining the parser for you.
Frequently Asked Questions
What does a Google Maps data API return?
Typically business name, address, rating, review count, hours and phone number for each listing. Depth varies: some return a short page of results, while some APIs reach up to 700 listings per area. Reviews often come from a separate endpoint.
How does Google Maps data API pricing work?
Models split into pay-as-you-go, subscription and subscription plus usage. Pay-as-you-go suits uneven workloads, while subscriptions suit steady volume. Compare on your own monthly request count, and check whether failed requests are billed.
Is a Google Maps data API better than the official Places API?
Different jobs. The official Places API serves app-embedded place details. A Google Maps scraper API returns ranked local results as users see them, which suits rank tracking, local business listings data and lead generation.
How should teams compare a Google Maps data API for local SEO?
Check coverage per location, results per area, review access, integrations like n8n, Make or Google Sheets, and who maintains the parser when Google changes. Test one real district before committing.
Can a Google Maps data API handle bulk lead lists?
Yes, when it supports queued bulk requests and deep area results. Queues suit large pulls, live endpoints suit quick checks. Review data may arrive through separate calls, so plan the pipeline around that.
