A Google Maps scraper API turns place searches and Maps identifiers into structured JSON instead of leaving your application to parse raw HTML. Outputs vary by endpoint: place search and business details can return names, addresses, coordinates, ratings, review counts, categories, websites, phone numbers, opening hours, and place IDs; review and photo endpoints return their own review or media records.
Use place search to discover businesses, business details to enrich a selected place, reviews to monitor reputation, and photos when the workflow needs place media. Scrappa's pay-as-you-go API fits prototypes, uneven local SEO monitoring, lead enrichment, and other request-response workloads that need these Maps workflows under one API key without a required monthly subscription.
This guide keeps the provider comparison for teams evaluating location intelligence, local rank tracking, review monitoring, sales prospecting, market maps, and enrichment workflows.
What a Google Maps scraper API returns
The response depends on the endpoint and the data Google exposes for the requested place:
| Workflow | Typical structured output |
|---|---|
| Place search and business details | Business names, addresses, coordinates, ratings, review counts, categories, identifiers, and fields such as websites, phone numbers, or hours when available |
| Reviews | Review text, star ratings, authors, timestamps, images, owner responses, and pagination data when exposed |
| Photos | Place photo records and image URLs for media collection or business enrichment |
For Scrappa's endpoint catalog and implementation docs, start with the Google Maps API.
With Scrappa, a common sequence is Simple Search for discovery, Business Details for enrichment, the Google Maps Reviews API for reputation data, and Photos for media. Its pay-as-you-go pricing is most useful when volume is experimental, seasonal, or project-based; predictable recurring workloads can also use an optional subscription.
Adjacent coverage also matters in the comparison below: the same Scrappa API key can reach the Google Search API when a Maps workflow needs broader SERP context.
Google Maps scraping API comparison
| Provider | Best fit | Pricing model | Strongest reason to choose it |
|---|---|---|---|
| Scrappa | Structured Google Maps data with adjacent search and review APIs | Pay-as-you-go credits and optional subscriptions | No required subscription for credit packs, Google Maps API family, reviews, photos, directions, autocomplete, and 80+ total endpoints |
| Apify | Large batch Google Maps lead lists and scheduled actor runs | Actor/platform usage | Mature Google Maps Scraper actor with exports, schedules, storage, and marketplace workflows |
| Outscraper | CSV-style exports and agency lead generation | Metered usage by data type | Strong focus on business listings, emails, reviews, and spreadsheet-ready outputs |
| Scrapingdog | Developer API for Google Maps result scraping | Monthly/usage API plans | Simple API positioning for Google Maps and SERP-style scraping workloads |
| ScraperAPI | Teams already using proxy and rendering infrastructure | Monthly API credit plans | Useful when Google Maps scraping is part of a broader raw web scraping stack |
| SerpAPI | SERP-style Google Maps results from an established search API vendor | Monthly search plans | Mature Google Maps API response schema inside a broader SERP API suite |
| DataForSEO | SEO platforms that already buy DataForSEO data | Usage-based SEO APIs | Fits teams that need Maps results as one part of a larger SEO API workflow |
No provider is universally best. A local SEO SaaS, a sales operations team, an agency, and a data marketplace will evaluate the same keyword differently. The right choice depends on response shape, pricing, adjacent endpoints, and how much scraping infrastructure you want to own.
1. Scrappa - best Google Maps scraping API for pay-as-you-go structured data
Scrappa is built for teams that want Maps data as an API product, not as a parser maintenance project.
The Google Maps API supports core location workflows:
- Simple Search for place and business discovery
- Advanced Search for coordinate-driven Maps queries
- Business Details for rich place profiles
- Reviews and Single Review endpoints for reputation data
- Photos for place media extraction
- Directions for route data
- Autocomplete for place suggestions
That matters because most Google Maps workflows expand after the first prototype. A lead enrichment job starts with "restaurants in Berlin," then needs websites, phone numbers, categories, review counts, coordinates, business IDs, review text, and photos. A local rank tracker starts with search results, then needs business details and nearby competitor profiles.
Scrappa keeps those jobs under one API key and one credit model. You can test with 500 free monthly credits, buy credit packs only when the workflow grows, and use the same account for adjacent datasets like Google Search, YouTube, LinkedIn, Trustpilot, Indeed, Jameda, and more.
Choose Scrappa if you want structured JSON, flexible credit packs, optional subscriptions, and enough endpoint breadth to move from Maps search into reviews, photos, search results, and business enrichment without changing vendors.
2. Apify - best for marketplace actors and large batch scraping
Apify's Google Maps Scraper is one of the best-known dedicated Google Maps scraping products. It is a strong fit when you want an actor-based workflow with run scheduling, cloud storage, exports, monitoring, and a marketplace model.
Apify is especially useful when the job is "collect a large list of places from many queries and export the dataset." The actor model can be comfortable for non-backend teams because it feels closer to a managed data collection job than a pure API integration.
The tradeoff is that actor workflows can introduce more operational concepts: actor input schemas, runs, datasets, platform usage, storage, and actor-specific pricing. That can be exactly what a data operations team wants, but heavier than necessary if your product just needs a low-latency Maps endpoint.
Choose Apify if you want a mature actor marketplace, scheduled batch runs, and export-heavy workflows more than a simple request-response API.
Scrappa also has an Apify alternative page if you are comparing marketplace breadth against flat API credit pricing.
3. Outscraper - best for spreadsheet-ready Google Maps exports
Outscraper is a strong Google Maps scraping API option for teams that think in exports: business lists, emails, phone numbers, websites, categories, ratings, and review data that can move into spreadsheets, CRM enrichment, or agency workflows.
It is often a good fit when the buyer is less interested in building against a broad scraping API marketplace and more interested in getting business datasets out quickly.
The tradeoff is product shape. If your roadmap needs Maps plus SERP data, social profiles, marketplace products, review platforms, and developer docs in one API surface, Scrappa's broader endpoint catalog can be easier to standardize around.
Choose Outscraper if your primary job is Google Maps business list extraction and spreadsheet-style deliverables.
4. Scrapingdog - best for a focused Google Maps scraper API
Scrapingdog has dedicated Google Maps scraping content and positions itself as a developer-friendly API for scraping Google results. It can be a reasonable option if you are comparing focused Maps and SERP scraping vendors and monthly API plans fit your usage pattern.
The key comparison point is billing flexibility and endpoint breadth. Scrappa is stronger when you want a no-subscription model, credits that stay usable for longer-running projects, and access to Maps plus many adjacent structured data sources.
Choose Scrapingdog if you are already comfortable with their API model and want a focused Google Maps scraping provider.
See Scrappa's Scrapingdog alternative page for a broader pricing and positioning comparison.
5. ScraperAPI - best when Maps scraping is part of a proxy stack
ScraperAPI is better known as a general scraping and proxy infrastructure provider than as a Maps-only data API. That makes it useful when Google Maps scraping sits next to arbitrary website scraping, JavaScript rendering, geotargeting, and broader proxy-managed collection.
For many product teams, that is also the drawback. A raw scraping infrastructure workflow can still leave you responsible for parsing, response normalization, field stability, and application-specific data contracts.
Scrappa is a better fit when the desired output is already structured Maps JSON rather than a generalized scraping layer.
Choose ScraperAPI if your team already uses its infrastructure and wants Maps scraping inside that same proxy and rendering stack.
Use Scrappa's ScraperAPI alternative comparison if the decision is mainly monthly API credits versus pay-as-you-go requests.
6. SerpAPI - best established SERP API vendor for Google Maps results
SerpAPI has an established Google Maps API inside a broader SERP API product. It is a good fit when your team already uses SerpAPI engines, monthly search plans are acceptable, and consistency with an existing SERP integration matters more than price flexibility.
The cost question is the same one covered in the SerpAPI alternative comparison: if your Maps workload is spiky or experimental, monthly search buckets can be a poor fit. Scrappa's credit model is usually easier for prototypes, agencies, and internal growth projects that do not consume the same volume every month.
Choose SerpAPI if your Maps usage belongs inside an existing SerpAPI integration and monthly plans are not a blocker.
7. DataForSEO - best for SEO suites that need Maps as one data source
DataForSEO makes sense for teams building SEO platforms that already rely on DataForSEO APIs for rankings, keyword data, SERP features, or local search datasets. In that context, Google Maps results may be one line item in a larger SEO data contract.
Scrappa is simpler when your evaluation starts from "we need Google Maps business data" rather than "we need a large SEO API suite." You get Maps, reviews, photos, search, and adjacent business datasets without adopting a broader SEO vendor stack.
Choose DataForSEO if your Google Maps scraping requirement is part of a larger SEO platform integration.
How to choose the right Google Maps scraping API
Use these criteria before you commit to a provider:
Response shape
Do you need a normalized JSON object with business name, address, rating, review count, coordinates, phone number, website, opening hours, categories, and IDs? Or do you need a raw scraping stack that your team will parse?
For application workflows, response shape is often more important than the listed price per request.
Reviews and reputation data
Local SEO, reputation monitoring, and franchise analytics usually need more than place search. Check whether the provider has dedicated review endpoints, pagination, sort options, reviewer fields, owner responses, and single-review lookup.
Scrappa covers this through Google Maps Reviews API and single-review workflows.
Adjacent datasets
Google Maps rarely lives alone. A market intelligence workflow may need SERP rankings, LinkedIn company profiles, Trustpilot reviews, Vinted marketplace data, or YouTube channels.
Scrappa's advantage is that those adjacent datasets use the same account and credit model.
Billing fit
Monthly plans can work for stable, predictable workloads. Pay-as-you-go credits are usually better for pilots, agencies, research projects, and uneven local SEO monitoring.
Scrappa gives every account 500 free credits monthly and lets purchased credits last 12 months, which reduces pressure to forecast volume before the project proves itself.
Compliance and data governance
Google Maps data can involve platform terms, privacy requirements, and customer-specific restrictions. Scraping infrastructure does not remove those obligations. Before production use, define what data you can collect, how long you can store it, whether personal data appears in your output, and how your use case fits applicable laws and contracts.
Recommended path for 2026
For most developer and growth teams, start with Scrappa if the job is structured Google Maps data with predictable JSON and flexible spend:
- Test Google Maps Simple Search for the discovery query.
- Use Google Maps Business Details for richer profiles.
- Add Google Maps Reviews when reputation or local SEO context matters.
- Compare total request cost on the pricing page.
- Expand into Google Search or competitor alternative pages only when the workflow needs more context.
Choose Apify when you need actor-based batch scraping and exports. Choose Outscraper when your deliverable is primarily spreadsheet-ready business lists. Choose SerpAPI or DataForSEO when Google Maps is part of an existing SERP or SEO API stack. Choose ScraperAPI when you need proxy infrastructure for many arbitrary websites.
The reason Scrappa is the best starting point for a google maps scraping api evaluation is simple: it gives you structured Maps data, adjacent APIs, and pay-as-you-go pricing before you know how large the workload will become.