Google Maps Scraper — Places, Reviews & Business Leads

Scrape Google Maps places, reviews, and business leads at scale. No API keys. No login. No browser. Pure HTTP — fast, cheap, and reliable. Built for lead generation, local SEO research, competitor intelligence, and AI agents.

Cheaper than compass/crawler-google-places. Starts at $0.80 per 1,000 places — 62% cheaper than the #1 competitor, with native batch search and LinkedIn lead enrichment built in.

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What it does

This actor extracts structured business data from Google Maps' public search pages. It supports single searches, massive batch searches across many keywords and locations in one run, direct place URL ingestion, and GeoJSON polygon targeting. Output is flat JSON, ready to feed into your CRM, lead-gen pipeline, or AI agent.

Key data extracted:

• Business name, address, phone, website, categories
• Star rating, review count, price level ($ to $$$$)
• Latitude / longitude coordinates
• Opening hours (day-by-day)
• Permanently / temporarily closed flags
• Review text + star rating (up to 500 per place)
• Light review sentiment — positive / neutral / negative counts (no LLM cost)
• Email + social profile enrichment (optional) — pulled from the place's website
• LinkedIn search URL (optional) — pairs perfectly with labrat011/linkedin-jobs-scraper for full B2B lead pipelines
• Google placeId + googleCid for cross-referencing with the Places API

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Why this scraper

	This actor	compass/crawler-google-places
Price per 1k places (base)	$0.80	$2.10
Price per 1k places + full details	$1.50	Higher
Price per 1k reviews	$0.40	Bundled / variable
Memory	512 MB–1 GB	Up to 8 GB
Tech	Pure HTTP (no browser)	Headless Chrome
Batch keywords × locations	✅ Native Cartesian product	⚠️ One search per run
Global deduplication	✅ By placeId + googleCid	Within run only
GeoJSON input	✅ Point + Polygon	✅ Polygon only
Email + social enrichment	✅ Optional ($1.50/1k leads)	💰 Paid add-on
LinkedIn integration	✅ Ready-to-use search URL	❌
Output views	places, reviews, leads	Single schema
MCP-ready for AI agents	✅	⚠️ Limited

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Use cases

🎯 Lead Generation

Turn Google Maps into a prospect pipeline:

• Find every dentist, coffee shop, plumber, or SaaS company in your target city
• Extract emails and social profile links from their websites (optional)
• Qualify by rating and review count
• Auto-generate LinkedIn search URLs for decision-maker research
• Feed into HubSpot, Salesforce, Clay, or any CRM via Apify integrations

📈 Local SEO Research

• Audit every competitor in a geographic area
• Compare ratings, review counts, and category saturation
• Track which businesses dominate the local pack for a given keyword
• Spot gaps and opportunities in underserved neighborhoods

🔍 Competitor Intelligence

• Snapshot entire categories (e.g. "all yoga studios in Austin")
• Monitor reviews and sentiment over time (re-run weekly)
• Identify newcomers, closures, and rating trends
• Export to BI tools for dashboarding

🤖 AI Agent Integration (MCP)

Use this actor as a live data source for AI agents:

• Ask Claude, GPT, or any MCP-compatible agent to search Google Maps in real time
• Build grounded RAG pipelines with current business data
• Let agents pull restaurant hours, phone numbers, or reviews on demand
• No authentication required — works out of the box with Apify's hosted MCP server

📊 Market Research

• Study category density across cities and countries
• Analyze price level distributions, rating distributions, category taxonomies
• Extract phone numbers and websites for outbound campaigns

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Key features

• No API key, login, or cookies — scrapes public pages only
• No browser / no Playwright — pure HTTP, lower cost, faster execution
• Batch search — cross-multiply keywords × locations in one run
• Direct place URL ingestion — skip search, feed your existing list
• Custom GeoJSON — Point or Polygon for precise area targeting
• Global deduplication — by placeId and googleCid across the entire run
• Review sentiment — rating-based positive/neutral/negative counts (zero LLM cost)
• Contact enrichment — email + social profile scraping from place websites (optional)
• LinkedIn integration — auto-generated LinkedIn search URL per result (optional, free)
• Output views — places, reviews, leads presets for clean downstream use
• Rating + closed-status filters — drop low-quality or inactive places
• Residential proxy rotation — fresh IP on 429/403 to survive blocks
• Resume on migration — Apify state survives actor migrations mid-run
• MCP-ready — works as an AI agent tool via Apify's hosted MCP server

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Output format

Places view (default)

{
  "placeId": "ChIJN1t_tDeuEmsRUsoyG83frY4",
  "googleCid": "0x89c25855c6480299:0x55194eb0b1bb2a3c",
  "name": "Blue Bottle Coffee",
  "address": "2001 E Cesar Chavez St, Austin, TX 78702",
  "categories": ["Coffee shop", "Cafe", "Breakfast restaurant"],
  "categoryMain": "Coffee shop",
  "rating": 4.6,
  "reviewCount": 512,
  "phone": "+1 512-524-1544",
  "website": "https://bluebottlecoffee.com/",
  "priceLevel": "$$",
  "latitude": 30.2592,
  "longitude": -97.7242,
  "openingHours": {
    "Monday": "7:00 AM – 6:00 PM",
    "Tuesday": "7:00 AM – 6:00 PM"
  },
  "thumbnailUrl": "https://lh5.googleusercontent.com/...",
  "images": ["https://lh5.googleusercontent.com/..."],
  "placeUrl": "https://www.google.com/maps/place/Blue+Bottle+Coffee/@30.2592,-97.7242,15z",
  "streetViewUrl": "https://www.google.com/maps/@?api=1&map_action=pano&viewpoint=30.2592,-97.7242",
  "permanentlyClosed": false,
  "temporarilyClosed": false,
  "searchKeywords": "coffee shops",
  "searchLocation": "Austin, TX",
  "reviews": [
    { "rating": 5, "text": "Amazing espresso. Friendly staff." }
  ],
  "reviewSentiment": { "positive": 8, "neutral": 1, "negative": 1, "total": 10 },
  "scrapedAt": "2026-04-22T18:34:00+00:00"
}

Leads view (contact-ready)

{
  "name": "Blue Bottle Coffee",
  "categoryMain": "Coffee shop",
  "phone": "+1 512-524-1544",
  "website": "https://bluebottlecoffee.com/",
  "emails": ["hello@bluebottlecoffee.com"],
  "socialProfiles": {
    "instagram": "https://instagram.com/bluebottle",
    "facebook": "https://facebook.com/bluebottlecoffee"
  },
  "linkedinSearchUrl": "https://www.linkedin.com/search/results/companies/?keywords=Blue%20Bottle%20Coffee",
  "address": "2001 E Cesar Chavez St, Austin, TX 78702",
  "rating": 4.6,
  "reviewCount": 512
}

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Input reference

Field	Type	Default	Description
keywords	string	—	Single keyword search (e.g. coffee shops)
location	string	—	Single location (e.g. Austin, TX)
keywordsList	string[]	—	Batch keywords (overrides keywords)
locationsList	string[]	—	Batch locations (overrides location)
placeUrls	string[]	—	Skip search — scrape these Google Maps URLs directly
customGeolocation	object	—	GeoJSON Point or Polygon for precise targeting
language	select	en	Language code (ISO 639-1)
countryCode	select	us	Country code (ISO 3166-1 alpha-2)
minRating	select	0	0, 3, 4, 5 — drop places below this rating
includeClosed	boolean	true	Include permanently / temporarily closed places
maxReviewsPerPlace	integer	10	0 to skip reviews entirely
includeReviewSentiment	boolean	true	Adds positive/neutral/negative review counts
enrichDetails	boolean	false	Visit each place's detail page for phone, website, opening hours, and images. Adds ~8-10 s per place
enrichContacts	boolean	false	Scrape email + socials from each place's website
enrichLinkedIn	boolean	false	Adds LinkedIn search URL per result (free)
outputView	select	places	places, reviews, or leads
maxResults	integer	100	Total cap across all searches (free: 25, paid: 10,000)
maxResultsPerSearch	integer	100	Cap per keyword × location combo
proxyConfiguration	object	RESIDENTIAL	Residential strongly recommended

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Batch search example

Scrape three categories across three cities in one run:

{
  "keywordsList": ["coffee shops", "coworking spaces", "yoga studios"],
  "locationsList": ["Austin, TX", "Dallas, TX", "Houston, TX"],
  "maxReviewsPerPlace": 5,
  "minRating": 4,
  "enrichLinkedIn": true,
  "maxResultsPerSearch": 20
}

This runs 9 searches (3 × 3), returns up to 180 places, deduplicates by placeId + googleCid across the whole run, and tags each result with searchKeywords + searchLocation.

---

Lead-generation example

Find every high-rated dental practice in Dallas and extract their emails + social profiles:

{
  "keywords": "dentist",
  "location": "Dallas, TX",
  "minRating": 4,
  "enrichDetails": true,
  "enrichContacts": true,
  "enrichLinkedIn": true,
  "outputView": "leads",
  "maxResults": 250
}

Every result includes phone, website, scraped emails, Instagram/Facebook/LinkedIn URLs, and a LinkedIn company search URL — pipe directly into Clay, HubSpot, or your cold-email tool.

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Pairs perfectly with labrat011/linkedin-jobs-scraper

Run this actor first to get a list of target companies with enrichLinkedIn: true, then feed the linkedinSearchUrl or business names into labrat011/linkedin-jobs-scraper's companyFilter field to pull current hiring managers, recruiters, and employee counts. Full B2B lead pipeline with zero browser infrastructure, at a fraction of the typical Clay / ZoomInfo cost.

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Pricing (Pay-Per-Event + Usage)

Pay only for what you get. Base charge covers every place returned; optional upgrade charges fire only when you actually receive the extra data. No monthly fees. Apify compute + proxy traffic is passed through at cost on top.

Event	Price	Triggered when
Place result (apify-default-dataset-item)	$0.0008 ($0.80 / 1k)	Every place in the dataset — name, rating, category, address, coordinates, thumbnail, Street View URL
Detail-enriched place (result_detail_enriched)	$0.0007 ($0.70 / 1k)	When enrichDetails: true returned phone, website, full opening hours, or images
Review extracted (result_review)	$0.0004 ($0.40 / 1k)	Per review attached to a place
Contact-enriched lead (result_lead)	$0.0015 ($1.50 / 1k)	When enrichContacts: true yielded at least one email or social profile
LinkedIn search URL (enrichLinkedIn)	FREE	Every place when enabled
Street View URL	FREE	Every place with coordinates
Actor start (apify-actor-start)	$0.00005 (first 5s waived)	Once per run

Free tier: 25 places per run. Reviews, detail enrichment, and contact enrichment disabled. Try before you subscribe.

Cost examples

Basic run — 1,000 places, no reviews, no enrichment: 1,000 × $0.0008 = $0.80

Full-data run — 1,000 places with detail enrichment, 5 reviews each, contact enrichment hitting 60%: $0.80 + (1,000 × $0.0007) + (5,000 × $0.0004) + (600 × $0.0015) = $0.80 + $0.70 + $2.00 + $0.90 = $4.40

Compass charges roughly 1,000 × $0.0021 = $2.10 for places alone, plus separate fees for reviews and contact enrichment. This actor is 62% cheaper on the base rate and transparent on every upgrade.

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MCP Integration

Use this actor as a real-time tool for AI agents — no custom MCP server needed.

• Endpoint: https://mcp.apify.com?tools=labrat011/google-maps-scraper
• Auth: Authorization: Bearer <APIFY_TOKEN>
• Transport: Streamable HTTP
• Compatible with: Claude Desktop, Cursor, VS Code, Windsurf, Warp, Gemini CLI

Claude Desktop / Cursor config:

{
  "mcpServers": {
    "google-maps-scraper": {
      "url": "https://mcp.apify.com?tools=labrat011/google-maps-scraper",
      "headers": {
        "Authorization": "Bearer <APIFY_TOKEN>"
      }
    }
  }
}

Once connected, your AI agent can search Google Maps by keyword + location, pull reviews, extract business contact info, and generate LinkedIn research URLs — all from a natural language prompt.

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Proxy guidance

Google aggressively blocks datacenter IPs on Maps. Residential proxies are strongly recommended. The actor defaults to Apify's RESIDENTIAL proxy group and will fail on Apify if no proxy is configured — this saves you compute on a run that would never succeed.

With residential proxies, the actor reliably handles runs of thousands of places. On retry, a fresh proxy IP is requested automatically so Google sees a different IP instead of the blocked one.

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Timeout & memory guidance

Detail enrichment, reviews, and contact enrichment each add requests per place, so runtime scales with your result count and which upgrades you enable.

Max results	Detail	Reviews	Contacts	Est. runtime	Recommended timeout
25 (free tier)	false	0	false	~45 s	180 s
25	true	0	false	~4 min	600 s
100	false	10	false	~10 min	900 s
100	true	10	false	~20 min	1800 s
250	true	10	true	~50 min	3600 s
1,000	false	5	false	~1 hr	4500 s
5,000	false	0	false	~3 hr	14400 s

Memory: 512 MB is enough for most runs. Use 1 GB for runs > 500 results or with contact enrichment enabled.

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Limitations

• Google Maps caps per-area results at ~120 places — use multiple tight locations or GeoJSON polygons to drill into dense areas
• Review extraction is limited to what Google renders on the place page HTML — typically up to 500 reviews per place, sorted by relevance
• Email / social enrichment depends on the business website linking socials publicly and showing emails in HTML (not hidden behind obfuscation)
• LinkedIn search URLs are built from business names — accuracy depends on the name being unique (a company named "Acme" will return many false matches)
• Contact enrichment adds one request per unique website, cached within the run
• Opening hours follow Google's localized format (day names match the language setting)

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Legality

This actor only accesses publicly visible Google Maps data — the same information any browser visitor can see. It does not bypass login walls, solve CAPTCHAs, or access private data. Web scraping of publicly available data is generally legal, as established by the hiQ Labs v. LinkedIn ruling. However:

• Always check Google's Terms of Service before using scraped data commercially
• GDPR / CCPA apply when scraping personal data — handle emails and phone numbers responsibly
• Do not re-publish scraped content verbatim — use it for research, enrichment, and private internal workflows

You are responsible for your own compliance.

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FAQ

Do I need a Google Maps API key?

No. This actor scrapes public HTML pages and requires no Google credentials.

Will I get blocked by Google?

Not with residential proxies. Datacenter IPs get blocked within a few requests. The actor defaults to RESIDENTIAL proxy group and rotates IPs automatically on 429/403.

Why is my run returning fewer results than maxResults?

Google caps per-area results at ~120 places. To get more, use tighter locations (city neighborhoods, ZIP codes) or custom GeoJSON polygons that subdivide large areas.

How do I scrape only 5-star places?

Set minRating: 5 in your input. The actor will skip any place rated below 5 stars.

Can I use this for B2B lead generation?

Yes — enable enrichContacts for emails + social profiles, and enrichLinkedIn for LinkedIn search URLs. Pair with labrat011/linkedin-jobs-scraper for hiring-manager / recruiter research.

What's the difference between placeId and googleCid?

placeId is Google's canonical place identifier (what the Places API uses). googleCid is an older hex-encoded ID still embedded in Google Maps URLs. Both are included for cross-referencing with other tools.

Does the actor support pagination beyond 120 results per query?

Not directly — Google enforces a hard cap. Use batch mode (keywordsList × locationsList) or GeoJSON tiles to cover large areas.

Can I resume a failed run?

Yes. Apify state survives actor migrations; the actor picks up where it left off. For very large runs, split across multiple smaller jobs for resilience.

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Support

Open an issue on the GitHub repo or message me through the Apify platform. PRs welcome.