It is Monday morning. A client wants map rankings for forty locations, a Google Sheet that refreshes itself, and last month’s reviews in the same tab. Your homemade scraper broke over the weekend. Again. Someone has to fix the parser before the report goes out at noon.
That is the moment people search for a Google Maps scraper API for agencies. The goal is simple: stop babysitting scrapers. The choice is not. Coverage per location, depth of results in a single area, review data, freshness, cost at volume and who absorbs blocking and layout changes all separate one provider from the next.
How the List Was Built
I read documentation, endpoint lists, output formats, integration pages and pricing models for the candidates, and I kept the ones that clearly offered Google Maps data through an API rather than a desktop tool. Roughly a dozen vendors went in. Seven came out.
The filters were practical. A provider stayed only if the Google Maps endpoint was documented publicly, if listing data and review data were both addressed somewhere in the product, and if the API could be called from a workflow tool without a custom wrapper. Pricing model mattered as a category, not a number: subscription, pay-as-you-go, or a mix with usage on top.
I also read user reviews on Trustpilot and G2, mostly for recurring complaints about support, reliability and onboarding. Vendor-reported figures such as customer counts and proxy pools are quoted as claims, not as measurements.
How the Ratings Compare
Apify: Trustpilot 4.8/5 (786) · G2 4.7/5 (635)
Oxylabs: Trustpilot 3.9/5 (727) · G2 4.5/5 (385)
DataForSEO: Trustpilot 4.5/5 (63) · G2 4.4/5 (15)
Bright Data: Trustpilot 4.3/5 (1007) · G2 4.7/5 (343)
Scrapingdog: Trustpilot 4.6/5 (547) · G2 3/5 (5)
HasData: Trustpilot 4.5/5 (45) · G2 4.8/5 (6)
Scrape.do: Trustpilot 4.8/5 (71) · G2 5/5 (5)
What Agencies Should Weigh
Depth per area
A single query returns only a slice of a dense city. Ask how many listings one request can surface for a district, and whether you can draw a custom area instead of relying on a city name.
Reviews and profiles
Rankings alone do not satisfy a reputation client. Check whether reviews arrive from the same account as listings, in which languages, and whether they come live or through a queue.
Who maintains the parser
Google changes its markup. The real cost of a scraper is the weekend someone spends fixing it. Managed APIs move that work to the vendor.
Integration surface
If your team lives in n8n, Make, Zapier or Google Sheets, a documented connector saves days. An MCP server helps if analysts query data through Claude or Cursor.
The 7 Best Google Maps Scraper APIs for Agencies
1. DataForSEO
Teams that would rather not run a scraper at all tend to land here. Its Google Maps SERP API hands back local business listings, each with an address, a review score and working hours, and a single area can yield as many as 700 of them. Targeting is geographic: pick a region or a district, or sketch your own custom area on a map.
Need one answer fast? Live mode responds in seconds. Bulk pulls across many client locations go through queues. DataForSEO maintains the collection itself, so a markup change is not your Monday problem.
For a Google Maps scraper API for agencies, DataForSEO also covers the neighboring data: the Business Data API adds Google Business Profile information, Google Reviews in any language, plus Trustpilot, Tripadvisor and Google Hotels data. One account feeds rank tracking, reputation monitoring and lead lists. Reviews and profile data come mainly through a task queue, so they suit scheduled pulls better than instant lookups.
Connectors exist for n8n, Make, Zapier and Google Sheets, and an MCP server works with Claude, Cursor and ChatGPT. Billing is pay-as-you-go with no subscription, at a mid-range tier.
On G2, DataForSEO scores 4.4/5 from 15 reviews.
Ideal for: no-code operators, growth managers, agencies and solopreneurs running map rankings and reviews through n8n, Make or Google Sheets
2. Apify
Apify works differently from a single endpoint. It runs Apify Store, with more than 100,000 ready-made scrapers called Actors, and maintains Crawlee, a web scraping and crawling library. Google Maps has several Actors, so you pick one that matches the output you need.
The company launched in 2015 from the Y Combinator Fellowship, built in Prague, and reports 91,000 customers. An MCP server gives AI agents access to Actors, which is useful if analysts query data through an assistant.
The trade-off is variety. Actors differ in output shape and upkeep, so a team should test one against its real client locations before committing a workflow to it. Billing mixes a subscription with usage, at a mid-range tier.
On Trustpilot, Apify scores 4.8/5 across 786 reviews.
Ideal for: technical teams that want a marketplace of scrapers and room to customize
3. Oxylabs
Oxylabs is a proxy company first, and scraping is built on that infrastructure. It was founded in 2015, is based in Vilnius, Lithuania, and reports 15,000+ clients, 500+ employees and a pool of 177M+ proxies. In 2022 it acquired the self-service proxy platform Webshare.
That scale suits large collection jobs where blocking is the main fear. Agencies pull a heavier enterprise vendor behind them, which pays off at volume and feels like overkill for a handful of client locations.
Pricing sits in the premium tier on a subscription model.
On G2, Oxylabs scores 4.5/5 from 385 reviews. Trustpilot shows 3.9/5 across 727 reviews.
Ideal for: large collection programs where proxy infrastructure and enterprise support come first
4. Bright Data
Bright Data began as Luminati Networks and was founded in 2014. It sells proxy networks, AI-powered web scraping tools and refreshed datasets, and it states that it serves more than 50,000 customers with over 600 team members.
The refreshed datasets matter for lead-list work. A growth team can buy a prepared dataset instead of collecting listings itself, which removes the pipeline entirely. The cost is a wider platform to learn than a single Maps endpoint.
It sits in the premium tier with subscription pricing.
On G2, Bright Data scores 4.7/5 across 343 reviews. Trustpilot shows 4.3/5 from 1007 reviews.
Ideal for: teams that want either live collection or ready-made datasets from one large vendor
5. Scrapingdog
A lean API with a low barrier to entry. Scrapingdog’s Google Maps API returns business names, addresses, hours, phone numbers, ratings and review counts. Reviews come through a separate endpoint, which means two calls per location for a full picture.
Founder Manthan Koolwal launched the website in April 2020 with co-founder and CTO Darshan Khandelwal, and the company started in 2021. It is a younger vendor, which shows in a smaller feature surface than the enterprise players.
Pricing is accessible and subscription-based.
On Trustpilot, Scrapingdog scores 4.6/5 across 547 reviews. G2 shows 3/5, but only 5 reviews back it.
Ideal for: small agencies wanting a simple Maps endpoint with reviews fetched separately
6. HasData
HasData packages scraping for data pipelines and AI, with 63 API endpoints and 21 no-code scrapers. Two matter here: a Google Maps Search API and a no-code Google Maps Scraper.
The no-code option is the interesting part. A marketer who does not write code can run a collection from a visual interface, while a developer calls the API. The company says it is trusted by 1.3k+ customers and charges only for successful requests.
It sits in the accessible tier on subscription pricing.
On G2, HasData scores 4.8/5 from 6 reviews. Trustpilot shows 4.5/5 across 45 reviews.
Ideal for: mixed teams where some people code and others need a no-code collection tool
7. 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. Its ready-made scraper APIs cover Google Maps, Google Search, Google Shopping, Google Hotels, Google News and Google Trends.
That breadth helps an agency that also needs search and shopping data from the same vendor. It charges only for successful requests, which keeps failed pulls off the bill. Depth per area and review handling deserve a test on real client locations before you rely on it.
Pricing is accessible and subscription-based.
On Trustpilot, Scrape.do scores 4.8/5 across 71 reviews. G2 shows 5/5, from 5 reviews.
Ideal for: agencies wanting Maps plus other Google surfaces through one scraping API
Before You Commit: A Checklist
Ask these five questions before wiring any provider into a client report.
How many listings can one request return for a single area, and can you draw that area yourself? DataForSEO caps a search at 700 listings in an area, so a dense city needs several tiled requests. Ask every vendor for its number.
Do reviews arrive from the same account as listings? Scrapingdog serves them through a separate endpoint, and DataForSEO routes them mainly through a queue. Either is fine for scheduled pulls. Neither suits an instant lookup.
Who fixes the parser when Google changes its markup? With Apify the answer depends on the Actor author. With a managed API it is the vendor.
Does a connector exist for the tool your team actually opens? Check n8n, Make, Zapier and Google Sheets support in the docs, not on the homepage.
What happens to the bill when you triple your locations? Subscription, pay-as-you-go and usage-on-top models behave differently at volume, and Oxylabs, Bright Data and Apify scale differently from DataForSEO or Scrape.do.
Run the same ten client locations through your shortlist. The provider that returns what your next report needs is the one to keep.