Google Maps data extraction: tools, methods, and pre-built alternatives (2026)

Google Maps is the richest source of local business data on the internet, but extracting it at scale has real limitations: the Places API caps at 60 results per search, scraping violates Google's ToS, and neither method gives you verified owner contacts.

This guide covers the tools, methods, and pre-built alternatives for Google Maps data extraction in 2026, and helps you understand the tradeoffs before building or buying.

What is Google Maps data extraction?

Google Maps data extraction is the process of pulling structured business information -- name, address, phone number, category, reviews, hours -- from Google Maps or the Google Places API. Teams use it to build local business lists, enrich CRMs, and power outbound prospecting campaigns.

There are two main approaches:

1. Google Places API -- Google's official method. Returns structured data with rate limits and per-request pricing. Caps at 60 results per search query, with no owner contact data included.
2. Google Maps scraping -- Automated tools that extract data directly from Maps search results. Faster and cheaper per record, but violates Google's Terms of Service and returns the same surface-level listing data as the API.

Both methods share the same core limitation: they give you the business listing, not the owner. The phone number on a Google Maps listing is the front desk line. The email, if it exists at all, is a generic inbox. Neither gets you to the person who actually makes buying decisions.

The Google Maps data extraction problem

The API cap

The Google Places API returns a maximum of 60 results per search query, split across three pages of 20. For a sales team trying to pull every HVAC company in a metro area or every restaurant in a zip code cluster, that cap forces hundreds of separate API calls, each billed individually.

Pricing: Google Places API charges $32 per 1,000 Nearby Search requests and $17 per 1,000 Basic Data fields. A campaign pulling 50,000 local businesses can cost $1,500-$3,000 in API fees alone, before any enrichment.

👉 developers.google.com/maps/documentation/places/web-service

The scraping risk

Scraping tools bypass the API by automating browser interactions with Maps search results. They're faster and cheaper per record, but Google's Terms of Service explicitly prohibit automated extraction of Maps data. Accounts that violate this risk IP bans, CAPTCHA walls, and data that becomes unreliable as Google updates its page structure.

The contact gap

Neither the API nor scrapers surface owner contacts. The data you get is what Google shows publicly: business name, address, category, aggregate phone number, website, and reviews. To get the owner's personal email or direct phone, you need a separate enrichment step, which adds cost, time, and another vendor.

Google Maps data extraction tools

1. Outscraper -- best for budget Google Maps scraping

Outscraper pulls business listings from Google Maps on demand. You submit a query (e.g., "dentists in Austin, TX") and it returns the public listing data: name, address, phone, website, reviews, and hours.

What it returns: Business name, address, category, phone (front desk), website, Google rating, review count, hours.

What it doesn't return: Owner name, owner email, direct phone, tech stack, revenue estimate.

Pricing: Pay-as-you-go. $3 per 1,000 records up to 100K, $1 per 1,000 above that. First 500 records free. No monthly minimum.

Best for: One-off data pulls where you need raw listing data and are comfortable enriching owner contacts separately.

Limitations: No verified owner contacts. No built-in enrichment. Compliance responsibility falls on the user. Output requires significant cleaning before it's usable for outreach.

2. Apify -- best for custom Google Maps scraping workflows

Apify is a developer-oriented scraping platform with a pre-built Google Maps Scraper actor used by 458,000+ users with a 4.8/5 rating. It handles JavaScript rendering, proxy rotation, and CAPTCHA solving, the infrastructure challenges that make raw Maps scraping unreliable at scale.

What it returns: Business listings, reviews, photos, coordinates, contact info from the Maps listing.

What it doesn't return: Verified owner contacts, enriched firmographic data.

Pricing: Free tier (limited compute). Starter $49/month. Scale $499/month. Business $999/month.

Best for: Engineering teams that want a maintained scraping infrastructure and can handle the enrichment step separately.

Limitations: Requires technical setup. No native enrichment or outreach layer. Output is raw data, owner contacts not included.

3. Bright Data -- best for large-scale scraping infrastructure

Bright Data provides web scraping infrastructure including 400M+ residential IPs, CAPTCHA solving, and pre-built scraper APIs. Its Google Maps dataset and Scraper APIs can handle high-volume extraction with 99.99% uptime and a 99.95% success rate.

What it returns: Structured business data from Maps and other public sources. Datasets available for purchase via the Datasets Marketplace.

Pricing: Scraper APIs from $0.75 per 1,000 records. Datasets Marketplace from $250 per 100K records. Scale plan $499/month (384K records included). Managed tier from $1,500/month.

Best for: Enterprise teams and developers building custom data pipelines who need proxy infrastructure and high-volume throughput.

Limitations: No pre-built SMB owner contact data. No enrichment layer. Significant developer setup required. $250 dataset minimum creates friction for smaller teams.

4. Google Places API -- best for compliant, structured local business data

The official Google Places API returns structured business data in JSON format, fully compliant with Google's Terms of Service. New Places API (v1) supports field masking to return only the data you need, reducing per-request costs.

What it returns: Business name, address, phone, category, hours, website, reviews, photos, coordinates.

What it doesn't return: Owner contacts, enriched firmographic data, tech stack.

Pricing: Nearby Search $32/1,000 requests. Basic Data fields $17/1,000 requests. $200/month free credit included. 60-result cap per query.

Best for: Developers who need compliant, structured listing data and are building on top of Google's ecosystem.

Limitations: 60 results per search query. No owner contact data. Costs scale quickly at volume. Requires separate enrichment for outreach use cases.

👉 developers.google.com/maps/documentation/places

5. Openmart -- best pre-built alternative for local business owner contacts

Openmart is a pre-built local business database that eliminates the scrape-then-enrich workflow entirely. Instead of extracting raw listings from Google Maps and then paying a separate enrichment vendor to find the owner, Openmart delivers the verified owner contact alongside the business record in a single lookup.

What it returns: Business name, address, category, owner personal email, owner direct phone, mobile number, LinkedIn URL, revenue estimate, employee count, tech stack (Shopify, Toast POS, Mindbody, Square), and 40+ additional fields.

Coverage: 200M+ local businesses across 300+ SMB categories in the US, Canada, Australia, New Zealand, Puerto Rico, and Europe.

Accuracy: 97-99% on owner contact data, validated continuously. Refreshed weekly, not quarterly like most enterprise tools.

API: RESTful API with Google Place ID lookup, bulk CSV enrichment, batch endpoints (1-100 items per call), webhook callbacks, and a 99.9% uptime SLA. Standard throughput 600 req/min, enterprise 6,000 req/min.

Pricing: Free plan available. Owner emails $6/100. Direct phones $24/100. Bulk exports $1/800 leads. No annual contracts.

Best for: Sales teams, agencies, and developers who need verified local business owner contacts at scale without building and maintaining a scraping pipeline.

👉 openmart.com/products/local-business-data-api

👉 openmart.com/products/local-business-enrichment

Scraping vs. pre-built database: which is right for you?

• Setup time: Scraping takes hours to days. Openmart takes minutes.
• Owner contacts: Scraping returns no. Openmart returns yes, verified.
• Data accuracy: Scraping is unverified. Openmart is 97-99%.
• Compliance risk: Scraping has high risk (ToS violation). Openmart is GDPR/CCPA compliant.
• Maintenance: Scraping requires ongoing upkeep (Google updates). Openmart requires none.
• Cost at 50K records: Scraping costs $150-$3,000+. Openmart costs $62.50 (emails only).
• Best for: Scraping is for raw listing data and developers. Openmart is for outreach-ready owner contacts.

How to choose

• Need raw listing data for a one-off project and comfortable with cleanup? Outscraper (pay-as-you-go, no commitment).
• Need a maintained scraping infrastructure for custom pipelines? Apify or Bright Data.
• Need compliant structured data inside Google's ecosystem? Google Places API.
• Need verified owner contacts ready for outreach without building a scraping stack? Openmart.

The key question is whether you need the listing or the owner. Scraping tools give you the listing. Openmart gives you both.

Frequently asked questions

Is it legal to scrape Google Maps? Scraping Google Maps violates Google's Terms of Service. Google actively blocks automated access with CAPTCHAs and IP bans. The legal risk varies by jurisdiction, but the ToS violation is consistent. The Google Places API is the compliant alternative for structured listing data. 👉 developers.google.com/maps/terms

What is the Google Places API rate limit? The Places API returns a maximum of 60 results per search query (3 pages of 20). There is no hard rate limit on requests per minute, but each request is billed individually. Heavy usage requires careful cost management. 👉 developers.google.com/maps/documentation/places/web-service/usage-and-billing

How do I get owner contact information for local businesses? Google Maps does not include owner contact data, only the public listing phone and website. To get verified owner emails and direct phones, you need a purpose-built database like Openmart, which covers 200M+ local businesses with 97-99% owner contact accuracy. 👉 openmart.com/products/business-owner-finder

What is the best Google Maps scraper? Apify's Google Maps Scraper is the most widely used (458K+ users, 4.8/5 rating) and handles JavaScript rendering and proxy rotation. Outscraper is the most accessible for non-technical users with pay-as-you-go pricing. Neither returns verified owner contacts.

How much does Google Maps data extraction cost? Costs vary by method. Google Places API: $32/1,000 Nearby Search requests. Outscraper: $3/1,000 records (pay-as-you-go). Apify: from $49/month. Bright Data: from $0.75/1,000 records. Openmart (pre-built, with owner contacts): $6/100 verified owner emails, free to search.

What is the difference between Google Maps scraping and a local business database? Scraping extracts raw listing data from Google Maps on demand, business name, address, and public phone number, with no owner contact and no verification. A local business database like Openmart pre-verifies and enriches those records, delivering owner personal email, direct phone, tech stack, and revenue estimate alongside the listing data. 👉 openmart.com/blogs/lead-scraping-tools-vs-pre-built-databases