Top 7 Google Maps Scraper APIs 2026
Good Google Maps scraper APIs return deep, structured results for a precise area, keep working when the page markup changes, and fit a pricing model that survives volume. Mediocre ones return a tidy sample for one city and fall apart on the second district. The trap is judging by a demo query. A team runs one search in a dashboard, sees clean listings, then discovers that reviews sit behind a different endpoint, that area coverage thins out, or that parser breakage lands on its own engineers. I read the vendors with that failure in mind: per-location depth, review data, who handles blocking, and cost once the job covers hundreds of client locations in n8n or Google Sheets.
Filters I Applied
I started from a longer pool and cut by what was visible in public documentation. A candidate stayed only if it listed a Google Maps endpoint or scraper by name, described what fields come back, and said how reviews are delivered.
Product pages and docs carried most of the weight. I also looked at output formats, integration options such as no-code connectors and MCP servers, and how each vendor describes its pricing model.
User reviews on Trustpilot and G2 shaped the rest. I read them for recurring complaints about support, onboarding and reliability, and treated thin review pools with caution.
What Separates Map Data Vendors
Scraper API versus the official Places API
A Google Maps scraper API versus the official Places API is a tradeoff between result depth per area and per-place lookups. Scraper-style APIs return listings the way a map search shows them, which suits rank tracking and lead lists. The official Places API is built around individual place lookups.
Depth per area
Local business listings data is only useful if the result count holds up inside one district. Ask how many listings a single area query can return, and whether you can draw a custom area.
Reviews as a separate job
A Google Maps reviews scraping API is often a different endpoint with different timing from the listing search. Check whether reviews arrive live, queued or by separate call.
Who owns maintenance
Proxies, blocking and parser changes are real costs. Some vendors absorb them; others sell you the tooling to cope.
The List
1. DataForSEO
Agencies, growth teams and lead-list builders working across dozens of locations need depth per area, and the Google Maps SERP API is built around that. Every listing comes back with its address, rating and opening hours.
DataForSEO works as a Google Maps scraper API for agencies and local SEO tools that want listings without maintaining proxies or parsers; queues handle bulk pulls and the collection is kept up on its side. The Business Data API in the same account adds Google Business Profile details, Google Reviews from any location in any language, and Trustpilot, Tripadvisor and Google Hotels data.
On G2, DataForSEO is rated 4.4/5 from 17 reviews. A Trustpilot reviewer described a decent spread of functionality at fair prices, with good docs and an easy integration.
Live mode returns up to 700 listings per area in seconds, with geo-targeting at district level or on a custom-drawn zone.
2. Bright Data
Bright Data started in 2014 under the name Luminati Networks, and the proxy heritage still shapes what it sells. Today the catalog spans proxy networks, AI-powered web scraping tools and refreshed datasets.
It states that it serves more than 50,000 customers and has over 600 team members. Both figures come from the company itself.
On G2, Bright Data scores 4.7/5 from 319 reviews. Trustpilot shows 4.3/5 from 937.
Pricing is premium and subscription-based. A platform this wide suits teams that buy proxy capacity and ready-made data under one contract. A team that only needs map listings may find most of the catalog beyond the brief.
3. Apify
More than 100,000 ready-made scrapers called Actors sit in Apify Store, which makes it a marketplace first and an endpoint second. Launched in 2015 by Jan Čurn and Jakub Balada out of the Y Combinator Fellowship, it was built in Prague, Czech Republic.
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, which helps teams wiring map pulls into agent workflows.
Billing mixes subscription with usage, in a mid-range tier. The catalog model rewards developers who like picking or adapting a scraper rather than calling one fixed API.
4. Outscraper
Lead generation and review pulls are where Outscraper concentrates. The Texas-based company, in Bee Cave, leads with a Google Maps Scraper and a Google Maps Reviews Scraper.
Around those sit scrapers for emails and contacts, Google Search, Amazon, Tripadvisor, Trustpilot and Yellow Pages, plus a family of APIs. For a growth team assembling a lead list from listings and then enriching it with contact data, that adjacency is practical.
It is accessible in tier and pay-as-you-go in model, so you pay for what a given pull uses.
5. Scrape.do
Scale figures come first here: Scrape.do states 10B+ requests a month and a pool of 150 million proxies. The web scraping API is run by PACKEND, LLC.
Its ready-made scraper APIs cover Google Maps, Google Search, Google Shopping, Google Hotels, Google News and Google Trends. Teams already scraping several Google surfaces can keep them under one account.
Trustpilot shows 4.8/5 from 67 reviews. Only successful requests are charged, and the subscription tier is accessible, so failed pulls do not eat budget.
6. HasData
Sixty-three API endpoints and 21 no-code scrapers define HasData, a web scraping service aimed at data pipelines and AI. Two of those matter here: a Google Maps Search API for developers and a no-code Google Maps Scraper for people who would rather not write code.
That pairing suits mixed teams, where an analyst runs one-off pulls while an engineer automates the rest. HasData says 1.3k+ customers trust it and charges only for successful requests, on an accessible subscription.
7. Scrapingdog
Founder Manthan Koolwal and co-founder and CTO Darshan Khandelwal launched the website 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 team wanting review text builds a second call into the flow. Trustpilot shows 4.6/5 from 571 reviews.
The price tier is accessible and subscription-based, which keeps it in reach for smaller agencies testing a map-data workflow.
At a Glance
| Provider | Best for | Pricing model |
| DataForSEO | Software teams, solo builders, agencies | mid-range, pay-as-you-go |
| Bright Data | Proxy plus dataset buyers | premium, subscription |
| Apify | Developers who like scraper catalogs | mid-range, subscription + usage |
| Outscraper | Lead lists and review pulls | accessible, pay-as-you-go |
| Scrape.do | Multi-surface Google scraping | accessible, subscription |
| HasData | Mixed code and no-code teams | accessible, subscription |
| Scrapingdog | Smaller teams testing map data | accessible, subscription |
Matching a Vendor to Your Workload
Infrastructure and breadth. Bright Data suits teams that want proxies, scraping tools and datasets bought together. Scrape.do fits groups scraping several Google surfaces at high request volume.
Local data at any scale. DataForSEO fits agencies, software teams, growth marketers and solo builders tracking map rankings, profiles and reviews across many locations, with area depth and one account for listings and reviews.
Catalogs and ready-made scrapers. Apify serves developers who want to pick from a marketplace of Actors. HasData fits teams mixing an API with a no-code Google Maps Scraper.
Lead lists and lighter budgets. Outscraper suits growth teams building prospect lists and pulling reviews, paying for what each pull uses. Scrapingdog suits smaller teams that can handle reviews through a second endpoint.
Run one real area through any shortlist. Count the listings returned, check where the reviews arrive, and ask who fixes it when the markup changes.
Frequently Asked Questions
How does Google Maps scraper API pricing work?
Models split into subscriptions, pay-as-you-go balances and usage-based plans. Some vendors charge only for successful requests. Costs depend on how many areas and listings you pull, whether reviews are separate calls, and how often you refresh. Compare models against your real volume, not a sample query.
What data does a Google Maps scraper API return?
Typically business name, address, phone, working hours, rating and review count. Some vendors add Business Profile details, and reviews often come through a separate endpoint. Result depth per area varies, so check how many listings one search can return.
Is a Google Maps scraper API better than the official Places API for lead lists?
For bulk lists and rank tracking, scraper-style APIs usually fit better, because they return listings the way a map search shows them across an area. The official Places API is built around individual place lookups. Teams building lead lists generally want area-wide depth.