Best Google Maps Scraper APIs in 2026: Tested, Compared, and Ranked

There are more Google Maps scraper APIs on the market than ever — and the landscape just got more complicated. In December 2025, Google filed a DMCA lawsuit against SerpApi in the U.S. District Court for the Northern District of California, alleging it "circumvented SearchGuard" to scrape and resell Google Search data at a scale Google described as "parasitic." SerpApi filed a motion to dismiss in February 2026, arguing the DMCA doesn't apply to scraping publicly visible pages. A hearing is scheduled for May 2026.

Whatever the outcome, it's a reminder that picking a Google Maps scraper API is not just a technical decision. It's a vendor risk decision. The tool you build on needs to be built on sound infrastructure, sound legal footing, and a team that treats compliance as a feature — not an afterthought.

This comparison covers the seven most widely used Google Maps scraper APIs in 2026. We've evaluated them on data coverage, response speed, reliability, pricing, and long-term viability. ScrapeBadger is on this list and we've been direct about how it compares.

What to Evaluate Before You Commit

Most comparison posts jump straight to a ranking. The problem is that the right tool depends heavily on what you're actually building. Before reading the individual reviews, answer three questions:

What data do you need? Business listings and contact info for lead generation is a different requirement from full review text for sentiment analysis, which is different again from place photos for content pipelines. Not every API covers all three well.

What's your request volume? Fifty searches per month for research is a different problem from 50,000 searches per month for a commercial platform. Pricing structures that look cheap at low volume become expensive fast — and some APIs have concurrency limits that cap throughput regardless of how much you're willing to pay.

Do you need multi-product coverage? If Google Maps is your only data source, a specialist tool might be fine. If you also need Google Search, Shopping, Trends, or News data, a multi-product API under one key saves significant integration overhead.

The 7 Best Google Maps Scraper APIs Compared

1. ScrapeBadger — Best Overall for Google Maps at Scale

ScrapeBadger's Google Maps endpoints are part of a larger 8-product Google data platform covering Search, Maps, News, Shopping, Trends, Jobs, Hotels, and Patents — all under a single API key and unified billing. The Maps suite covers place search, place details, reviews, photos, and business posts.

Data coverage. Place search returns business names, addresses, ratings, review counts, categories, hours, and coordinates. Place details adds website, phone, price level, popular times, and editorial summary. The reviews endpoint returns full review text, star rating, reviewer profile, owner responses, and iso_date timestamps — the last of these being genuinely important for time-series sentiment analysis and something several competitors omit. As covered in the ScrapeBadger Google Maps reviews guide, the ISO timestamp is what makes proper before/after comparison possible.

Anti-bot handling. ScrapeBadger's infrastructure handles Google's SearchGuard bypass, JavaScript rendering, and residential proxy rotation automatically. Every Maps request routes through the same infrastructure that powers the Search and SERP endpoints — the same system that processes AI Overviews, featured snippets, and other JavaScript-rendered elements.

Pricing. Very flexible, offers either a pay-as-you-go model or a cheaper subscription modem. PAYG credits never expire. The cost estimator on the Google Scraper product page shows your exact cost at your actual volume before you sign up.

Multi-product advantage. For teams that need Maps data alongside SERP rankings, Trends signals, or Shopping price intelligence, the unified platform means one integration, one billing relationship, one set of documentation. The full endpoint reference at docs.scrapebadger.com covers every Maps parameter and response field.

MCP integration. For AI agent workflows, ScrapeBadger's MCP server exposes all Google endpoints — including Maps search and reviews — to any MCP-compatible agent. Claude, Cursor, and Windsurf can query Maps data directly as part of reasoning workflows. Full setup in the MCP documentation.

Best for: Teams building production Google Maps pipelines who also need other Google data sources; AI agent developers; anyone who wants predictable per-request pricing without subscriptions.

2. SerpApi — Feature-Rich but Legally Clouded

SerpApi has been in market since 2016 and was, until December 2025, the de facto default recommendation in most Google Maps API comparisons. In independent benchmarks, SerpApi achieved a 100% success rate on Google Maps searches and was the fastest API tested, returning results in 0.2 seconds. Scrapfly

Data coverage. The Maps endpoints cover local search results, place details, reviews with pagination, and photos. The API is mature, well-documented, and supports 100+ search engines beyond Google — making it a strong choice for teams that need multi-engine coverage.

The legal situation. This needs to be addressed directly because it affects vendor risk. Google's December 2025 lawsuit against SerpApi alleges violations of the Digital Millennium Copyright Act, specifically claiming that SerpApi circumvented SearchGuard — Google's anti-scraping system — to access and resell copyrighted content from search results pages on a "massive scale." SerpApi filed a motion to dismiss in February 2026, arguing that its scraping of publicly visible pages does not constitute DMCA circumvention, citing hiQ v. LinkedIn as supporting precedent. ScrapflyScrapfly

We're not making a legal judgment here — the motion to dismiss arguments are substantive, and the outcome is genuinely uncertain. What we're flagging is operational risk. If the court sides with Google and issues an injunction, any platform built on SerpApi's Maps endpoints needs a contingency plan. The hearing is scheduled for May 2026.

Pricing. SerpApi uses a subscription model. Pricing starts from $0.00916 per request, making it the most expensive solution among the major providers. At production volume — 100,000+ Maps requests per month — this becomes one of the most expensive options in the market. Oxylabs

Best for: Teams that need multi-engine SERP coverage beyond Google; organisations with legal teams who have evaluated the current lawsuit risk and determined it's acceptable.

3. Bright Data — Enterprise Grade, Enterprise Complexity

Bright Data is the largest commercial proxy network in the world, with 72M+ IPs across 195 countries, and their Maps scraper sits on top of that infrastructure.

Data coverage. The Maps dataset includes place details, reviews, coordinates, hours, categories, photos, and price levels. GDPR and CCPA compliant, ISO 27001 certified — relevant for enterprise teams with formal compliance requirements.

Performance. In independent benchmarks testing 4,000 business listings, Bright Data demonstrated strong reliability across all tested categories. For heavily protected Google endpoints, their infrastructure's IP reputation is the best in market. Scrapfly

Pricing. Web Scraper IDE from $499/month; pay-per-record billing beyond that. For most teams evaluating this list, Bright Data is overkill unless compliance requirements or request volumes genuinely justify the cost. Billing complexity is a commonly cited complaint — multiple billing layers for proxies, scraper IDE, and dataset access make monthly cost prediction difficult.

Best for: Enterprise teams with formal compliance requirements, dedicated data engineering resources, and budgets that make the cost differential irrelevant.

4. Oxylabs — Solid Infrastructure, Limited Maps Depth

Oxylabs is a well-established proxy and scraping API provider with 100M+ IPs and a dedicated Google Maps scraper endpoint.

Data coverage. Oxylabs' Google Maps scraper API has a 91% success rate and a 5-second response time — the second fastest in independent benchmarks. However, it provides only 8 data fields, the fewest in the benchmarked group. For basic place search — name, address, rating, phone — this is adequate. For anything requiring review text, photos, or rich business detail, the field depth falls short. Scrapfly

Pricing. Bandwidth-based billing at approximately $9.40/GB for Web Unblocker adds unpredictability for high-volume Maps scraping where individual place detail pages are larger. Better suited to teams already invested in Oxylabs proxy infrastructure.

Best for: Teams already using Oxylabs proxies who want to add basic Maps business data without a second vendor relationship.

5. Apify — Powerful Platform, Variable Quality

Apify operates a marketplace of community-maintained "Actors" — serverless scrapers for specific sites and use cases. The Google Maps Actor (compass/crawler-google-places) is one of the most popular on the platform.

Data coverage. Apify's Google Maps scraper provides 42 different data fields and achieved a 100% success rate in independent benchmarks, though with a 16.9-second average response time — the slowest in the tested group. The depth of data available is strong; the speed trade-off matters depending on your use case. Scrapfly

The community-maintained risk. The Maps Actor is maintained by a community contributor, not Apify's core team. When Google updates its Maps interface or anti-bot measures, Actor updates depend on the maintainer's timeline — not an SLA. For production pipelines where a breaking change needs a same-day fix, this is a meaningful operational risk.

Pricing. Compute units at $0.25–$0.40/GB RAM per hour, plus proxy costs billed separately. Monthly costs are difficult to predict for Maps-heavy workloads.

Best for: Technical teams that want maximum flexibility and can tolerate Actor maintenance variability; researchers running non-time-sensitive batch jobs.

6. Scrapingdog — Best Value for Maps-Only Use Cases

Scrapingdog offers a dedicated Google Maps API at a price point significantly below most competitors, with a complete feature set for standard Maps data use cases.

Data coverage. Business names, phone numbers, ratings, operational hours, reviews, posts, and photos. Within Google Maps, Scrapingdog provides three additional APIs: reviews API, posts API, and photos API. For lead generation and basic reputation monitoring, this covers the essential fields. Oxylabs

Performance. In independent benchmark tests (50 API calls), Scrapingdog achieved a 100% success rate at an average of 3.05 seconds per request — the fastest in that particular benchmark set. DEV Community

Pricing. Starting from $0.00033 per request, with volume discounts at higher tiers — making it the most economical dedicated Maps API on this list. 1,000 free credits for testing. Oxylabs

Limitation. Scrapingdog is a Maps-specific or Maps-heavy tool. If your roadmap includes adding SERP ranking data, Trends signals, or Shopping intelligence alongside Maps, you'll need a second integration — which eliminates the price advantage when total vendor cost is considered.

Best for: Teams with a focused Maps use case and cost as the primary constraint; lead generation workflows where price per record is the defining metric.

7. Octoparse — Best No-Code Option

Octoparse is the only no-code tool on this list. It's a desktop and cloud-based visual scraping platform with a dedicated Google Maps template.

Approach. Point-and-click scraping interface — no API integration required. Octoparse can scrape Google Maps data without requiring any coding skills, with auto-detecting functions that extract locations, store names, phone numbers, reviews, open times, and other business information. Output exports to Google Sheets, Excel, CSV, or database. Dataforest

Limitation. This is a tool for collecting data manually on a schedule, not for building programmatic pipelines. If your use case is "I need a list of plumbers in Denver once a month," Octoparse works well. If your use case is "I need an API that my application calls in real time," it doesn't apply.

Pricing. Plans from approximately $119/month for cloud automation.

Best for: Non-technical users who need scheduled Maps data collection without coding; one-off research projects; small teams without engineering resources.

Side-by-Side Comparison

The Decision Framework

If you need Google Maps data alongside SERP, Trends, Shopping, or News: ScrapeBadger is the only API on this list that covers all of these under a single integration with transparent per-request pricing. The alternative is managing multiple vendor relationships, billing accounts, and documentation sets.

If budget is the absolute primary constraint and Maps is your only data source: Scrapingdog's per-request pricing is the most economical at low to moderate volume. Evaluate whether the limited field depth meets your specific needs before committing.

If you need enterprise compliance certification: Bright Data is the only option with formal ISO 27001, GDPR, and CCPA compliance documentation. The cost premium is real, but for regulated industries it's the price of compliance.

If you're currently using SerpApi: The lawsuit situation doesn't require an immediate migration decision — SerpApi is operational, filed a credible motion to dismiss, and the hearing isn't until May 2026. But it's worth having a tested fallback. Most Maps API integrations are a day or two of engineering work to swap.

If you're building an AI agent workflow: ScrapeBadger's MCP integration and Apify's MCP server are the two options that connect directly to MCP-compatible clients. For agents that need live Maps data alongside web scraping, the ScrapeBadger MCP documentation has setup instructions that take under ten minutes.

What Google Maps Data Is Actually Used For

The technical comparison above is about which tool gets the data. It's worth being equally clear about why teams are collecting it — because the use case often determines which tool is the right fit.

Lead generation is the highest-volume use case by far. Businesses search by category and geography to extract contact details — phone, website, address — for outreach. For this, field depth on contact data matters more than review coverage. Volume pricing matters more than per-request features.

Reputation monitoring for brands with multiple locations requires review text, timestamps, ratings over time, and owner response tracking. This is where ISO timestamps and full review text matter — fields that several budget tools omit. The ScrapeBadger review monitoring guide covers the full pipeline architecture for this use case.

Competitive intelligence — tracking how competitors' ratings shift, what complaints their reviews surface, how their hours and services compare — requires the same rich review fields as reputation monitoring, but applied to competitor place IDs rather than your own.

Market entry research combines Maps data (how many businesses in a category exist in a target geography) with Trends data (is search interest in that category growing or declining). This is where multi-product API access pays dividends — you're not combining data from two separate vendors; you're combining two endpoints from one.

Local SEO auditing for agencies means systematic tracking of client Google Business Profile data — ratings, review velocity, category accuracy, photo counts — across multiple client locations. Scheduled API calls feeding a reporting dashboard replace manual monthly checks.

A Quick Note on the Official Google Places API

Teams new to this space often ask whether the official Google Places API makes third-party scrapers unnecessary.

It doesn't, for the same reason covered in the Google Maps reviews scraping article: the official API caps reviews at 5 per place. It also has usage costs that become significant at production volume, and it doesn't expose the full field depth available on the Maps interface — popular times, editorial summaries, full review text, and photos all have limitations or additional costs in the official API.

For developers building research tools, lead generation platforms, or business intelligence applications at any meaningful scale, the official API is a starting point for understanding the data model, not a production solution.

The Google Maps scraper API market is mature enough to have clear leaders, transparent pricing, and real benchmark data. The new wrinkle is legal risk — the SerpApi lawsuit is an active development that every team building on SERP scraping infrastructure should be monitoring, regardless of which tool they use.

ScrapeBadger's Google Maps API is available now with a free trial — no credit card, no subscription, no commitment until you've run your own evaluation against your actual targets. The complete endpoint documentation covers every Maps parameter across place search, place details, reviews, and photos.