How to Scrape Google Maps Business Leads (2026 Guide)

To scrape Google Maps business leads, use a pre-built Apify actor that accepts a search query plus location and returns structured JSON with business name, phone, website, address, rating, and reviews. The fastest path is running Google Maps Scraper & Tech Stack Audit, which extracts maps listings and detects each website's tech stack (Shopify, WordPress, HubSpot, etc.) in the same run. Expect 500–1,000 leads per dollar with no code required.

Quick Answer

To scrape Google Maps business leads, send a search query (e.g. "dentists in Austin TX") to a Google Maps scraping actor on Apify, which paginates through results and returns each listing as a structured row. You get name, address, phone, website, category, rating, review count, and hours — the same fields you'd see in the Maps sidebar. Pay-per-use actors cost roughly $0.50–$2 per 1,000 listings, well below Outscraper's $3–$5 range. Building it yourself requires headless Chrome, proxy rotation, and constant DOM-selector maintenance — usually not worth it under 100k records/month. For sales-focused workflows, pick a tool that also enriches each result with the prospect's website tech stack so you can filter leads by platform before outreach.

What data can you scrape from Google Maps?

Every public field on a Maps business listing is scrapeable. A typical record returns:

• Identity: business name, place ID, Google CID
• Contact: phone number, website URL, full address, postal code
• Category: primary + secondary categories (e.g. "Italian restaurant", "Pizza takeaway")
• Geo: latitude, longitude, plus code
• Reputation: star rating (1–5), total review count, recent review snippets
• Operations: opening hours by day, "permanently closed" flag, popular times
• Media: photo URLs, owner-uploaded images

What you cannot reliably scrape: email addresses (Google doesn't show them — you scrape the website separately), owner identity, or private analytics. About 60% of Maps listings have a website URL attached, and roughly 75% expose a phone number, based on cross-category sampling.

Is scraping Google Maps legal?

Scraping publicly visible Google Maps data is legal in the US under the hiQ v. LinkedIn precedent (Ninth Circuit, 2022), which held that scraping public data does not violate the CFAA. The EU's GDPR is stricter: business contact data is generally fine, but if a listing exposes a sole-proprietor's personal phone, you need a lawful basis (legitimate interest works for B2B outreach if you document it).

What gets you in trouble is not scraping itself but:

1. Violating Google's ToS — this is a contract issue, not a criminal one. The remedy is account termination, not jail.
2. Reselling raw scraped data — some jurisdictions treat aggregated databases as protected.
3. Spamming the leads — CAN-SPAM (US), CASL (Canada), and PECR (UK) regulate the outreach, not the collection.

Practical rule: scrape for your own lead list, suppress against do-not-contact registries, and personalize outreach. Don't resell the raw dump.

How to scrape Google Maps business data step by step

Here's the end-to-end workflow that works for 95% of lead-gen use cases:

Step 1: Define your ICP as a query matrix

Don't scrape "restaurants" — that's 4M+ records. Narrow to intersections of category × geography × filter. Example matrix for a SaaS targeting independent gyms:

This produces ~320 high-fit leads per metro vs. 50k noisy ones.

Step 2: Run the scraper

Using Google Maps Scraper & Tech Stack Audit on Apify:

{
  "searchQueries": ["personal training studio Austin TX"],
  "maxResultsPerQuery": 200,
  "language": "en",
  "auditTechStack": true
}

The actor paginates through Maps results, opens each listing's site, and detects the CMS, analytics, payment processor, and email tools. Runtime is ~3–5 minutes per 200 results.

Step 3: Enrich and filter

The tech-stack column is what separates this from a generic Maps scraper. If you sell a Shopify app, filter tech_stack contains "Shopify". If you sell a WordPress plugin, filter tech_stack contains "WordPress". Typical Maps lead lists shrink by 40–70% after platform filtering, but reply rates 3–5x because the pitch is relevant.

Step 4: Append emails

Maps doesn't expose emails. Run the websites column through an email-finder (Hunter, Apollo, or a homepage scraper looking for mailto: links). Hit rate is ~55% for SMBs.

Step 5: Export to your CRM

Most actors output CSV, JSON, and Excel. Use Apify's webhook integration to push directly to HubSpot, Pipedrive, or Google Sheets without manual download.

How much does it cost to scrape Google Maps?

Cost ranges from $0.40 to $5 per 1,000 listings depending on the provider:

For a 10k-lead campaign, you're looking at $10–$30 with a pay-per-use actor vs. $30–$50 with subscription tools. Below 5k leads/month, pay-per-use wins. Above 50k/month, evaluate enterprise plans.

Can you scrape Google Maps without coding?

Yes. The Apify actor model runs entirely in a web UI: paste queries, click run, download results. No Python, no Selenium, no proxy management. The same actor exposes a REST API if you later want to automate it from a backend.

If you prefer code, the API call is one line:

curl -X POST "https://api.apify.com/v2/acts/SMB-Tech-Stack-Audit/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"searchQueries":["dentist Miami"],"maxResultsPerQuery":500}'

Results stream to a dataset you can poll or webhook on completion.

How do you avoid getting blocked when scraping Maps?

Google blocks scrapers via three signals: IP reputation, request patterns, and browser fingerprints. Self-built scrapers usually fail within 200–500 requests. Managed actors handle this for you by:

• Rotating residential proxies (not datacenter IPs)
• Randomizing request intervals (1–4 second jitter)
• Using full headless Chrome with realistic fingerprints
• Caching place IDs to deduplicate across queries

If you must roll your own, budget $150–$300/month for a residential proxy pool (Bright Data, Smartproxy) and expect 2–4 weeks of debugging before you hit production stability.

What's the best Google Maps scraper for lead generation?

The best scraper for lead gen is the one that outputs qualified leads, not just any leads. That means tech-stack enrichment, category filtering, and CRM-ready exports out of the box. Generic Maps scrapers give you a phone list; a lead-gen scraper gives you a list of "Shopify stores in Denver with 4+ star ratings and 50+ reviews."

For most B2B SMB targeting, Google Maps Scraper & Tech Stack Audit is the most efficient choice because it collapses two steps (scrape + enrich) into one run, which roughly halves the per-lead cost vs. chaining Outscraper + BuiltWith.

FAQ

Q: How many leads can I scrape per day? A single Apify actor run typically handles 5,000–20,000 listings per hour, so 100k+ per day is realistic on the platform's standard plan. The bottleneck is usually query design, not throughput — running 50 narrow queries beats one broad one.

Q: Does Google Maps scraping give me email addresses? No. Maps listings don't store emails. You get the business website, then scrape the site or run it through Hunter/Apollo to find emails. Expect ~55% email hit rate for SMBs and ~80% for businesses with a contact page.

Q: Can I scrape Google Maps reviews along with business data? Yes, most Maps scrapers offer a reviews mode that returns reviewer name, rating, date, and review text per listing. Reviews are useful for sentiment analysis and finding pain-point keywords to use in outreach copy.

Q: How fresh is scraped Google Maps data? Data is real-time — you're pulling whatever Google shows right now. There's no caching unless you cache it yourself. For ongoing lead lists, re-scrape monthly: ~3–5% of SMBs change phone numbers or websites per quarter.

Q: What's the difference between the Google Maps API and scraping? Google's Places API costs $17–$32 per 1,000 requests, limits you to 60k requests per month per project, and restricts how you store and display data (you must show "powered by Google", can't keep records over 30 days for most fields). Scraping has none of those restrictions and costs ~10x less, which is why every commercial lead-gen tool scrapes instead of using the API.