Google Maps Scraper API: How to Extract Data Programmatically [2026]

Last updated: June 2026

If you need Google Maps data flowing into an application, a data pipeline, or an automated workflow, you are looking at some form of API access. The options range from Google's official Places API to third-party scraper APIs that wrap server-side extraction in a REST interface — and each comes with a different set of tradeoffs around pricing, data completeness, and setup complexity.

This guide compares your options honestly. Not every use case needs an API, and not every API is right for every use case. By the end you will have a clear picture of which approach makes sense for what you are building — or whether you need an API at all.

Google Places API: The Official Option

The Google Places API is Google's sanctioned way to access business data programmatically. It offers three main endpoints relevant to business data extraction: Text Search (find places matching a query), Nearby Search (find places near a coordinate), and Place Details (get full information on a specific place by ID).

Pricing is straightforward but adds up quickly at scale. Place Details costs around $17 per 1,000 requests. Text Search and Nearby Search are cheaper per call, but each search only returns up to 20 results, and you need a separate Place Details call to get full contact information for each result. Google provides $200 per month in free credit, which covers roughly 11,000 Place Details requests before billing kicks in.

The most significant limitation for lead generation use cases is the result cap. A single Text Search query returns a maximum of 60 results across three paginated pages, each requiring a separate API call. If your target market has 400 businesses, you need to split your queries by geography or sub-category to capture them all — a non-trivial engineering problem.

The API also does not return email addresses. Email is not part of any Place Details response, regardless of whether the business has published one on their profile. Review text is available but rate-limited and requires additional calls per place.

Best for: Applications that need real-time place data — maps integrations, location autocomplete, store finders, anything where freshness and Google's reliability matter more than bulk extraction. The official API is within Google's Terms of Service, which matters if you are building a product on top of it.

Not ideal for: Bulk lead generation, market research across hundreds of businesses, or any use case where you need emails. The per-call pricing model becomes expensive fast at scale, and the 60-result ceiling per query requires significant engineering overhead to work around.

Third-Party Google Maps Scraper APIs

Third-party scraper APIs work differently from the official Places API. Rather than querying Google's backend directly through an authorized channel, they run server-side scrapers that extract data from Google Maps the same way a browser would — but at scale, with proxy rotation and anti-detection infrastructure — and expose the results through a REST interface you call programmatically.

The result is often richer data (including emails, review text, and more fields than the official API returns) at lower per-record costs for bulk use. The tradeoff is that these services are technically outside Google's Terms of Service, though they handle the ToS risk on their end rather than yours.

Apify Google Maps Scraper API

Apify exposes its Google Maps Scraper as an Actor you can trigger via a RESTful API. You send a POST request with your search parameters — query, location, maximum results, whether to include reviews, whether to enrich with emails — and the Actor runs asynchronously, writing results to a dataset you can poll or webhook when ready.

Pricing runs approximately $0.004 per place record for basic data, with email enrichment adding cost on top. For 10,000 records with enrichment you are looking at roughly $40–80 depending on configuration. Apify also supports geolocation splitting — automatically subdividing a large area into smaller tiles to capture more results than a single query returns — which is the correct engineering solution to the 60-result ceiling problem.

The API is well-documented and the Actor parameters are highly configurable. The downside is complexity: understanding actor parameters, dataset IDs, run polling, and webhook configuration has a real learning curve. For a full breakdown of how Apify compares as a product, see TheMapScraper vs Apify.

Outscraper API

Outscraper provides a straightforward REST API for Google Maps data with synchronous and asynchronous modes. You pass a search query and location, and the API returns structured JSON with business name, address, phone, website, rating, review count, and optionally email addresses discovered by visiting business websites.

Pricing is credit-based: you purchase credits and each record costs a set number depending on the fields requested. Email enrichment is a separate charge on top of the base record price. Outscraper's documentation is clear and the API is easier to get started with than Apify's actor system, though it offers less flexibility for complex extraction pipelines. See the full comparison at TheMapScraper vs Outscraper.

Other Options

SerpApi, HasData, and several other providers offer Google Maps scraping through similar REST interfaces. Most follow the same pattern: pass a search query, receive JSON results, pay per record. SerpApi is particularly popular for Google Search scraping and offers a Maps endpoint as well. HasData positions itself as a lower-cost alternative with competitive per-record pricing.

For a broader comparison of the scraping tools market, the best Google Maps scrapers guide covers the full landscape including API-based and no-code options.

Official API vs Scraper APIs: Comparison

When You Don't Need an API

APIs are the right answer when you are building software — an automated pipeline, a product feature, a recurring data feed into a database. If you are an engineer integrating Google Maps data into an application, an API is what you need.

But a large share of people searching for a Google Maps scraper API are not building software. They are marketers, sales development reps, small business owners, or researchers who want a list of businesses — phone numbers, emails, addresses — in a spreadsheet they can use for outreach or analysis. For that use case, an API is significant overkill. You would spend hours on setup to produce an output that a no-code tool generates in three minutes.

If you do not have a developer available, if you are not integrating into a pipeline, or if your output format is "a CSV I can open in Excel," you do not need an API. A no-code tool like TheMapScraper extracts the same business data — name, phone, email, address, website, rating, review count — and delivers it as a ready-to-use lead list without a single line of code.

How to Choose the Right Approach

The decision comes down to three questions: what you are building, how much volume you need, and whether you have engineering resources to integrate an API.

Need real-time data in a live application? Use the Google Places API. It is the only option that is fully within Google's Terms of Service, and it is purpose-built for app integrations — location autocomplete, store finders, distance calculations, embedded maps. For anything user-facing that needs fresh, reliable place data, the official API is the correct choice despite its cost and result limits.

Need bulk data with automation and a custom pipeline? A third-party scraper API is likely the better fit. Apify gives you the most configuration flexibility including geolocation tiling, review extraction, and programmatic run triggering. Outscraper is easier to get started with for straightforward queries. Both return richer data than the official API at lower per-record cost for bulk runs. Expect to invest time in integration and to manage async run patterns.

Need leads for sales or marketing without writing code? Skip the API entirely. TheMapScraper gives you the same business data output — name, phone, email, address, website, rating — as a clean CSV in under three minutes, with 50 free leads per month and no setup required. The difference between this and an API integration is roughly four to eight hours of engineering time saved.

Frequently Asked Questions

The right tool depends entirely on what you are trying to accomplish. APIs are powerful but carry real setup cost — both in engineering time and in dollars per record. The official Places API is the only fully compliant option but is the most limited for bulk extraction. Third-party scraper APIs offer richer data and better bulk pricing but require developer investment.

If your goal is leads, not infrastructure, the fastest path is still a no-code tool. Run a search on TheMapScraper and have your first 50 leads in under three minutes — no API keys, no billing setup, no code.