A good Google Maps API is judged on three things: how deep it goes per area, how fresh the listings and reviews are, and who absorbs the pain when Google changes its markup. Everything else is packaging. The trap is the demo. One query for “dentist in Austin” looks fine on every vendor, then you scale to thousands of client locations and find thin coverage, review data bolted on separately, or a parser you now maintain yourself. Teams also pick a general proxy network and discover they bought plumbing, not a local business listings data API. Choose wrong and your rank tracker drifts, your review alerts lag, and an engineer spends weekends on fixes.
How We Cut the Shortlist
We started from the vendors that surface for Google Maps data pulls and dropped anything without a documented Maps endpoint or a clear way to collect reviews. Then we read documentation: output fields, geo-targeting options, task and live modes, export formats, and whether n8n, Make, Zapier or Google Sheets connectors exist.
Pricing model mattered more than price. We separated pay-as-you-go from subscription and usage hybrids, since a Google Maps scraper API’s pricing behaves very differently for an agency with spiky client work than for a product with steady volume. Where free tiers or sample requests were available, we treated them as a process step, not a test result.
We also read user reviews on Trustpilot and G2 for context. Company facts come only from what each vendor publicly states.
Review Scores at a Glance
| Provider | Trustpilot | G2 |
| Bright Data | 4.3/5 (1013) | 4.7/5 (339) |
| Scrape.do | 4.8/5 (71) | 5/5 (5) |
| HasData | 4.5/5 (43) | 4.8/5 (6) |
| Outscraper | 4.6/5 (331) | 3.9/5 (4) |
| Oxylabs | 3.9/5 (771) | 4.5/5 (402) |
| DataForSEO | 4.5/5 (67) | 4.4/5 (17) |
| Apify | 4.8/5 (804) | 4.7/5 (673) |
1. Bright Data
Bright Data began in 2014 as Luminati Networks. Today it sells proxy networks, AI-powered web scraping tools and refreshed datasets, and says it serves more than 50,000 customers with over 600 team members.
That breadth is the point. A team that already needs proxies for other targets can run Maps collection on the same account, and ready-made datasets spare it from scraping at all. Blocking is handled on the vendor side, which matters for anyone tired of rotating IPs by hand.
On G2, Bright Data scores 4.7/5 from 339 reviews. Steady, large volume fits this premium subscription tier better than irregular agency demand does.
Best suited for: data teams already running large multi-source collection who want Maps data inside one proxy and dataset vendor.
2. Apify
Apify launched in 2015, started by Jan Čurn and Jakub Balada out of the Y Combinator Fellowship, and is built in Prague, Czech Republic. Its Apify Store lists more than 100,000 ready-made scrapers called Actors.
For Google Maps, that means a marketplace approach: pick an Actor for places, another for reviews, and chain them. Crawlee, the scraping library Apify maintains, helps teams who want to write their own. An MCP server gives AI agents access to Actors, and the company reports 91,000 customers.
Quality varies by Actor, so a team should check who maintains the one it relies on.
Best suited for: developer-led teams that want to assemble custom Maps and review workflows from reusable building blocks.
3. DataForSEO
Local SEO agencies and tool builders reach for DataForSEO when rank tracking across many client locations is the job. Its Google Maps SERP API returns business listings with address, review score and working hours, and a single search can surface as many as 700 listings for an area. Targeting narrows to regions and districts, or to a custom shape drawn on the map.
As a Google Maps scraper API for local SEO teams, DataForSEO takes on collection and parser upkeep itself. Live requests come back in seconds, while queued tasks cover bulk pulls.
On Trustpilot, DataForSEO is rated 4.5/5 from 67 reviews. Billing is pay-as-you-go with no subscription, and connectors cover n8n, Make, Zapier and Google Sheets, plus an MCP server for Claude, Cursor and ChatGPT.
The Business Data API adds Google Business Profile details, Google Reviews in any language, and Trustpilot, Tripadvisor and Google Hotels data, so one integration covers rankings, profiles and reviews across every location.
Best suited for: local SEO products, reputation platforms, agencies and independent builders tracking map rankings, reviews and profiles through a single integration.
4. Outscraper
Outscraper is based in Bee Cave, Texas, and its two lead services are the Google Maps Scraper and the Google Maps Reviews Scraper. That focus shows. Reviews scraping is a first-class product here, not an afterthought.
Around those sit scrapers for emails and contacts, Google Search, Amazon, Tripadvisor, Trustpilot and Yellow Pages, plus a family of APIs. Lead-list builders get the most from the contact enrichment angle.
Trustpilot shows 4.6/5 across 331 reviews. G2 has only 4 reviews at 3.9/5, a thin sample.
It is a scraper toolbox first; teams building a rank-tracking product will probably want to look hard at how location targeting fits their grid. The accessible, pay-as-you-go model suits irregular pulls.
Best suited for: growth teams and lead-list builders who need Maps listings, reviews and contact data on a budget.
5. Scrape.do
Scrape.do is a web scraping API run by PACKEND, LLC. 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, so one account can feed a local product and adjacent research. It charges only for successful requests, which keeps budgeting honest when targets misbehave.
As a general scraping layer, it fits teams comfortable with their own pipeline logic around the raw responses; those wanting built-in local rank-tracking structure may feel the difference.
Best suited for: engineering teams wanting a lean, successful-request-only scraping API covering Maps alongside other Google surfaces.
6. HasData
HasData offers a web scraping service for data pipelines and AI, with 63 API endpoints and 21 no-code scrapers. Two matter here: a Google Maps Search API for developers and a no-code Google Maps Scraper for everyone else.
That split is useful. An analyst can pull a lead list without writing code, then an engineer can move the same job to the API. HasData says 1.3k+ customers trust it and charges only for successful requests.
The platform is wide rather than local-specific, so teams needing deep reputation monitoring should confirm review coverage against their own locations first.
Best suited for: mixed analyst and developer teams that want no-code Maps scraping now and an API path later.
7. Oxylabs
Oxylabs was founded in 2015 and is based in Vilnius, Lithuania. It reports 15,000+ clients, 500+ employees and a pool of 177M+ proxies, and it acquired the self-service proxy platform Webshare in 2022.
Infrastructure scale is the draw. When Maps collection is one workload among many and uptime under heavy load is the priority, a proxy-first vendor of this size makes sense.
On G2, Oxylabs scores 4.5/5 from 402 reviews. Trustpilot shows 3.9/5 across 771.
This is an enterprise-shaped offering, and small agencies running a few hundred locations may find it more infrastructure than they need.
Best suited for: large organizations running high-volume, multi-target collection that value proxy depth over Maps-specific tooling.
Checklist Before You Wire One In
1. Depth per area. Rank tracking lives on how many listings you see per search. DataForSEO states up to 700 listings in an area; ask every vendor for its ceiling, in writing.
2. District-level targeting. Local packs differ block by block. Can you target a district or a custom area, or only a city?
3. Reviews on the same account. Splitting a Google Maps reviews scraping API from your listings source means two integrations and two bills. Outscraper and DataForSEO both treat reviews as core.
4. Parser upkeep ownership. Ask each vendor who owns parser maintenance when Google changes its markup. DataForSEO maintains collection; Apify Actors depend on their individual maintainers.
5. Pricing model against your volume curve. Pay-as-you-go suits agencies with seasonal client work. Subscriptions suit flat, heavy usage. Scrape.do and HasData charge only for successful requests.
6. Integrations. Check for n8n, Make, Zapier, Google Sheets or MCP support before an engineer writes glue code.
Run your own ten hardest locations through a trial before committing. Whatever handles those cleanly will survive your growth.