Best Google Maps Scraper APIs & Tools

Google Maps is one of the richest free datasets on the web: business names, addresses, phone numbers, ratings, opening hours, and millions of reviews. The practical question is which tool pulls it reliably at volume without you babysitting proxies. My top value pick is ChocoData for the API route, and the standout for no-code work is the Apify Google Maps Scraper; this page ranks both alongside Outscraper, Oxylabs, Bright Data, and Scrape.do on starting price, free tier, which Maps data they return, and best fit. Every price and feature comes from the vendor’s own pricing or product page in mid-2026, attributed inline, because review-site numbers go stale fast.

One disclosure up front: bestscraperapi.com earns affiliate commissions from some of the vendors listed here. That does not change which tools make the list, how I rank them, or what I write. Pricing comes straight from each vendor’s own page, and the ranking follows documented price and features, not payout.

A note on the performance numbers further down. The speed and success-rate figures are approximate, compiled from each vendor’s published figures plus aggregated public sources. They are not bestscraperapi.com’s own first-hand tests. Vendors measure on their own targets under their own conditions, so the numbers are directional rather than apples to apples. My independent, like-for-like Google Maps benchmarks are pending; see how we test for the methodology.

Pricing per each vendor’s pricing or product page, mid-2026. Per-result and per-credit rates assume the entry tier; most vendors drop the unit price on higher plans. Confirm the current number at the source before you budget.

1. ChocoData

ChocoData is my top pick for Google Maps data through a real API, because it returns structured place and SERP data at the lowest documented entry price in this list, and the same integration covers every other source you scrape. You point it at Maps through either the universal endpoint or a dedicated scraper, so you are not bolting on a separate Maps-only tool to do it.

Pricing

Per ChocoData’s pricing page in mid-2026, the Free plan gives 1,000 requests a month (5,000 credits) with no credit card, and paid plans start at $19/mo (Vibe) for 27,000 requests, then $49/mo (Pro) for 82,000. ChocoData bills 5 credits per request, adds 10 for JavaScript rendering, and charges only 2xx responses, so failed Maps fetches do not count. Pay-as-you-go top-ups run $0.90 per 1,000 successful requests on any plan. For a workload that touches Maps plus e-commerce, search, or social data, one $19/mo entry price for the whole surface beats stacking single-purpose tools.

Standout features

ChocoData exposes a single universal endpoint, /api/v1/{site}/{resource}, across 235 supported sites, plus 250+ dedicated endpoints that return validated structured JSON (per its site, mid-2026). Google Search is among the supported scrapers, and queries come back as clean structured data rather than raw HTML you have to parse. Country-matched residential IPs handle location-specific results, so a query for “coffee shops” returns the local listings a nearby user would see.

Best for

Developers and founders who want Maps data through a clean API at the lowest entry price ($19/mo), and who also scrape other sources. If Maps is your only target and you want zero scraper code with automatic deduplication past Google’s 120-result cap, a dedicated actor like Apify fits better; for one integration across the whole web, ChocoData is the value pick. Try ChocoData.

2. Apify Google Maps Scraper

The Apify Google Maps Scraper is the no-code leader for place data, and it is the tool most people mean when they search for an “apify google maps scraper.” It returns full place records without you writing a line of scraper logic, and it solves Google’s hardest Maps limit out of the box.

Pricing

Per Apify’s actor page in mid-2026, the scraper costs $1.50 per 1,000 scraped places on a pay-per-result model, so you are charged for results rather than platform compute, and the per-result price drops on higher subscription tiers. The Apify Free plan includes $5 in platform credits per month with no card (per Apify’s pricing page, mid-2026), enough to test a few thousand places before you commit; the Starter plan is $29/mo for $29 of usage. Unused monthly usage does not roll over, so size the plan against real volume.

Standout features

The 120-result workaround is the feature that matters most. Google’s Maps front end caps a single search at about 120 places; the actor expands past that limit through systematic pagination across the area, so you can pull every pizzeria in a city rather than the first 120. Per Apify’s page, it returns place name, category, place ID and URL, address and exact coordinates, phone, website, average rating, review count and distribution, opening hours, popular times with live occupancy, menu links, and price brackets, and exports to JSON, CSV, Excel, XML, or HTML. Optional enrichment add-ons pull business contacts and lead fields (work email, job title, LinkedIn) from linked sites, billed on top.

Best for

Marketers, founders, and students who want place and lead data with no scraper code and a small free credit to start. It is the only option here that automatically beats Google’s 120-result cap. For a deeper look at the platform, see my Apify review.

3. Apify Google Maps Reviews Scraper

Pricing

Apify splits reviews into a separate actor. Per its page in mid-2026, the Google Maps Reviews Scraper costs $0.30 per 1,000 scraped reviews on the same pay-per-result model, and it runs on the same $5/mo free platform credit. Apify notes the $29/mo Starter plan covers roughly 58,000 reviews a month. If review mining is your whole project, this is the cheaper, more focused tool than running the place scraper.

Standout features

Per Apify’s page, the actor returns review text, star rating, published date, review ID and URL, the reviewer’s name, profile URL, review count and local-guide status, attached review images, per-service detailed ratings, and the owner’s response text, plus place metadata. A “Reviews Origin” filter targets Google-native reviews only, which improves coverage on hotels that pull in third-party reviews. Exports cover JSON, XML, CSV, Excel, and HTML, and there are SDKs plus Make, Zapier, and Google Sheets integrations.

Where it falls short

There is no guaranteed maximum result count per place, and Apify recommends capping pulls at around 1,000 reviews per place to limit resource use, so very high-review locations need batching. Date filtering is also limited: only the “Newest” sort works reliably. For place discovery rather than reviews, the standard Google Maps Scraper above is the right actor.

4. Outscraper

Outscraper is a Google Maps specialist with the most generous free tier in this list, which makes it a low-friction way to pull a few hundred places before paying anything. It does places, reviews, and contact enrichment, and exposes an API for automation.

Pricing

Per Outscraper’s Google Maps scraper page in mid-2026, the first 500 businesses (places) are free, then usage from 501 to 100,000 places bills at $3 per 1,000 records, dropping to $1 per 1,000 above 100,000. It is pay-as-you-go with no monthly commitment, and API access is included on the paid tiers. The free 500 places need no credit card, so testing on your exact target list costs nothing.

Standout features

Per Outscraper’s page, the scraper returns 50+ default columns: business name, phone, website, full address with city, state, postal code, and country, latitude and longitude, rating, review count, photo count, business status, working hours, price range, and Maps, reviews, and reservation links. Enrichment columns add emails, social links, and website metadata. It scrapes reviews separately too, and exports to CSV, Excel, Parquet, or JSON.

Best for

Lead-gen and local-data projects that want a Maps-focused tool with a real free allowance and a simple per-record price. The trade-off versus ChocoData is scope: Outscraper is built for Maps and a few adjacent Google sources, so if you scrape many unrelated sites you still need a general API alongside it.

5. Oxylabs

Oxylabs treats Google Maps as a search type inside its general SERP Scraper API, which suits teams that already run a SERP stack and want Local results folded into it. It is an enterprise-leaning tool with deep parsing across Google verticals.

Pricing

Per Oxylabs’ SERP Scraper API page in mid-2026, the free trial includes up to 2,000 results with no credit card, and paid plans start at $49/mo (Micro) for up to 98,000 results, then $99/mo (Starter) for 220,000. Google without JavaScript rendering runs about $0.90 per 1,000 results at the Starter tier, and adding rendering pushes it to roughly $1.30 per 1,000. Budget for the rendered rate if you need the full dynamic Local result.

Standout features

Oxylabs exposes a “Google: Local Search” target that retrieves location-based results for restaurants, hotels, and services (per its SERP page, mid-2026), alongside Web Search, News, Images, Scholar, Trends, Finance, and Jobs. It parses Google deeply with location, language, and domain targeting, and covers four engines overall (Google, Bing, Baidu, Yandex). The pull is depth and reliability for teams standardizing on one SERP API.

Best for

Teams that already run a SERP API and want Google Local through the same key, with the option of the other Google verticals. The trade-off versus a dedicated Maps actor: a single Local call returns one query’s results and hits the same ~120-place ceiling, so for exhaustive area coverage you still need the grid approach Apify automates.

6. Bright Data

Bright Data’s SERP API is the enterprise-scale option, with the broadest engine coverage here and an SLA to match. Maps is one of its many supported search types, and it is priced for volume buyers.

Pricing

Per Bright Data’s SERP API page in mid-2026, the free trial is 5,000 requests a month with no credit card, pay-as-you-go is $1.50 per 1,000 requests on a pay-only-for-success basis, and the Scale plan is $499/mo for 380,000 requests. The pay-as-you-go rate is among the higher per-request prices in this list, so the entry economics favor those who can commit to Scale.

Standout features

Bright Data lists Maps as a SERP search type alongside Shopping, Hotels, Images, Trends, Reviews, News, Flights, Ads, Videos, and Jobs (per its SERP page, mid-2026). Output comes as JSON, HTML, or Markdown, and billing is success-only. On performance, Bright Data cites response times under 1 second for standard requests, a 99.9% uptime SLA, and a 99.99% success rate in async mode (its own figures, approximate, compiled from vendor + public sources, not first-hand).

Best for

Enterprise teams that need wide engine coverage, an uptime SLA, and global targeting at scale. Smaller projects will find the per-request price and the $499/mo Scale plan steep next to ChocoData or Scrape.do, and a single Maps call hits the same 120-result ceiling as any SERP API.

7. Scrape.do

Scrape.do is a low-cost scraping API with a ready-made Google Maps endpoint, which makes it a budget-friendly way into Maps scraping without writing parsers. It competes hard on price.

Pricing

Per Scrape.do’s pricing page in mid-2026, the free tier is 1,000 successful API credits a month with no credit card, and paid plans start at $29/mo (Hobby) for 250,000 credits, then $99/mo (Pro) for 1,250,000. Per-credit pricing runs from $0.11 down to $0.06 per 1,000 credits across tiers, and you are charged only for successful responses. That puts Scrape.do among the cheapest paid entries here.

Standout features

Scrape.do ships a dedicated Google Maps Scraper among its Ready Scraper APIs, alongside ready endpoints for Google Search, Shopping, Flights, Hotels, News, Trends, and Play Store (per its pricing page, mid-2026), so common Google targets work without custom parsing. All plans include datacenter and residential proxies, CAPTCHA handling, JavaScript rendering, and geo-targeting.

Where it falls short

Scrape.do publishes less detail on Maps parsing depth and the 120-result cap than the dedicated actors do, and it is less established than Oxylabs or Bright Data. For straightforward Maps queries at a low price it holds up well; for exhaustive area coverage with automatic deduplication, the Apify actor goes further.

How to choose the right one

Match the tool to your job rather than the headline price.

• You scrape Maps plus many other sites: ChocoData. One universal endpoint covers Maps and 234 other targets at the lowest entry price ($19/mo).
• You want place data with zero scraper code: the Apify Google Maps Scraper at $1.50/1k places, the only option here that automatically beats Google’s 120-result cap.
• You want bulk reviews and reputation data: the Apify Google Maps Reviews Scraper at $0.30/1k reviews, or Outscraper’s separate review export.
• You want a Maps specialist with a big free tier: Outscraper, 500 places free then $3/1k.
• You already run a SERP API stack: Oxylabs for Google Local through the same key, or Bright Data when an enterprise SLA matters.
• Lowest cost for a ready-made Maps endpoint: Scrape.do at $29/mo.

If you are building the extraction yourself instead of buying it, the same fundamentals apply: rotate residential IPs, render JavaScript, and respect the rate limits that trigger Google’s CAPTCHA wall. My guides on web scraping and scraping without getting blocked cover the DIY path you can pair with or substitute for an API.

How we evaluated these

I shortlisted these seven tools on the criteria that decide a Google Maps purchase: documented starting price, free tier, the Maps data each one returns (places, reviews, contacts), coverage of Google’s 120-result cap, and best fit by scenario. Every price and feature here is pulled from each vendor’s own pricing or product page in mid-2026 and attributed inline, because review-site numbers go stale fast. The speed and success-rate language is approximate, compiled from vendor-published figures plus aggregated public sources, and is not first-hand; my independent, like-for-like benchmarks are pending at how we test. Pricing is current as of mid-2026 and changes frequently, so confirm the live number on the vendor’s own page, and check whether a plan bills per place, per review, per request, or per credit so you are comparing like with like.