Google Places Scraper

Google Maps

Operated by Sourcelane✓ verified

A scraper for Google Maps/Places that finds businesses and points of interest by free-text query or by geographic coordinates and radius, and returns full structured place records: unique place identifier, name, formatted address, latitude/longitude, place categories and primary category, average rating and rating count, price level, website URL, international and national phone numbers, business operational status, human-readable opening hours, canonical Google Maps link, icon metadata, and optional reviews (up to five per place with author, rating, text, and timestamps). Supports two search modes (free-text with optional location bias, or nearby by coordinates+radius with selectable place types), localized results by language and region, automatic pagination with a resumable cursor for continuing large text-search runs, and deterministic nearby-radius queries.

Verified Sep 28, 12:10 AM

$0.01

per place

Up to 100 per call. Only pay for results returned; failed calls are refunded.

What people use it for

Local business directory compilation (e.g., coffee shops, dentists, gyms)
Lead generation for outbound campaigns (extracting phone numbers, websites, addresses)
Competitive intelligence (tracking ratings and review counts in a region)
Real estate and site selection (counting amenities within a radius)
Travel guides and directory sites (building curated lists with addresses, hours, and Maps links)

Trust & reliability

7d uptime trend

Window	Uptime	Success rate	p50	p95
24h	—	—	—	—
7d	—	—	—	—
30d	—	—	—	—

Calling contract

Call it through Sourcelane's gateway or MCP server. We run the connector, apply your agent's spend guardrails, and bill only the results returned.

Call it via Sourcelane

curl -X POST https://cool-puffin-608.convex.site/v1/call \
  -H "Authorization: Bearer sl_live_your_agent_key" \
  -H "Content-Type: application/json" \
  -d '{"listing":"google-places-scraper","params":{"textQuery":"coffee shops in Brooklyn","maxItems":5},"maxResults":10}'

Request params

Field	Type	Required	Description
`searchMode`	string	optional	Text searches accept a free-text query like 'coffee shops in Brooklyn'. Nearby searches require a latitude/longitude center and a radius in meters.
`textQuery`	string	optional	Free-text query, e.g. 'best ramen in Brooklyn' or 'dentist near Times Square'. Used when search mode is Text.
`latitude`	number	optional	Center latitude (-90 to 90). Used in Nearby mode; optional as a bias in Text mode.
`longitude`	number	optional	Center longitude (-180 to 180). Used in Nearby mode; optional as a bias in Text mode.
`radius`	integer	optional	Search radius around the center in meters. Used in Nearby mode (max 50000).
`includedTypes`	array	optional	Restrict nearby results to these place types (e.g. restaurant, cafe, gym). See Google's place-type table. Leave empty for any type.
`languageCode`	string	optional	BCP-47 language code for localized results (e.g. en, es, fr).
`regionCode`	string	optional	Two-letter region/country code to bias results (e.g. us, gb, de).
`maxItems`	integer	optional	Maximum number of places. Text search auto-paginates in batches of 20 (up to 60 total). Nearby returns at most 20. Capped at 100 per call.
`includeReviews`	boolean	optional	Include up to 5 reviews per place (author, rating, text, publish time).
`pageId`	string	optional	Paste NEXT_PAGE_ID from the previous run's Key-value store to resume Text-search pagination.

Each result contains

Field	Type	Description
`placeId`	string	Place Id
`displayName`	string	Display Name
`formattedAddress`	string	Formatted Address
`latitude`	number	Latitude
`longitude`	number	Longitude
`types`	array	Types
`primaryType`	string	Primary Type
`rating`	number	Rating
`userRatingCount`	integer	User Rating Count
`priceLevel`	string	Price Level
`websiteUri`	string	Website Uri
`internationalPhoneNumber`	string	International Phone Number
`nationalPhoneNumber`	string	—
`businessStatus`	string	—
`weekdayDescriptions`	array	—
`googleMapsUri`	string	—
`iconMaskBaseUri`	string	—
`iconBackgroundColor`	string	—
`reviews`	array	—

Use Google Places Scraper from Claude, ChatGPT or Cursor

Pick your tool and connect in under a minute. Then just ask — for example: “List 40 dentists in Austin TX with phone, website and rating above 4.5.”

Connect Claude

Web, desktop and mobile. Paste one URL.

1Copy your personal connector URL
2In Claude open Settings → Connectors → Add custom connector
3Paste the URL and click Add — done

Manual setup (config files, REST, Python) +

Claude Code

Adds the Sourcelane MCP server with your key as a header.

terminal

claude mcp add --transport http sourcelane https://cool-puffin-608.convex.site/mcp \
  --header "Authorization: Bearer sl_live_your_agent_key"

Claude Desktop (config file)

Alternative to the connector URL: add to claude_desktop_config.json, then restart Claude.

claude_desktop_config.json

{
  "mcpServers": {
    "sourcelane": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://cool-puffin-608.convex.site/mcp",
        "--header",
        "Authorization:${AUTH_HEADER}"
      ],
      "env": {
        "AUTH_HEADER": "Bearer sl_live_your_agent_key"
      }
    }
  }
}

Cursor & Windsurf

Add to ~/.cursor/mcp.json (or Windsurf's mcp_config.json).

mcp.json

{
  "mcpServers": {
    "sourcelane": {
      "url": "https://cool-puffin-608.convex.site/mcp",
      "headers": {
        "Authorization": "Bearer sl_live_your_agent_key"
      }
    }
  }
}

VS Code

Save as .vscode/mcp.json. VS Code prompts for your key once.

.vscode/mcp.json

{
  "servers": {
    "sourcelane": {
      "type": "http",
      "url": "https://cool-puffin-608.convex.site/mcp",
      "headers": {
        "Authorization": "Bearer ${input:sourcelane-key}"
      }
    }
  },
  "inputs": [
    {
      "type": "promptString",
      "id": "sourcelane-key",
      "description": "Sourcelane agent key",
      "password": true
    }
  ]
}

ChatGPT Custom GPT (Actions)

Create a GPT → Actions → Import from URL, then Authentication: API Key, Bearer.

OpenAPI schema URL

https://sourcelane-amber.vercel.app/openapi.json

REST

One POST. Pass maxResults to cap cost.

curl

curl -X POST https://cool-puffin-608.convex.site/v1/call \
  -H "Authorization: Bearer sl_live_your_agent_key" \
  -H "Content-Type: application/json" \
  -d '{"listing":"google-places-scraper","params":{"textQuery":"coffee shops in Brooklyn","maxItems":5},"maxResults":10}'

Python, LangChain, CrewAI, OpenAI Agents SDK…

Wrap the REST call as a tool, or point an MCP client at the endpoint.

python

import requests

res = requests.post(
    "https://cool-puffin-608.convex.site/v1/call",
    headers={"Authorization": "Bearer sl_live_your_agent_key"},
    json={
        "listing": "google-places-scraper",
        "params": {"textQuery":"coffee shops in Brooklyn","maxItems":5},
        "maxResults": 10,
    },
    timeout=300,
)
body = res.json()
print(body["receipt"]["chargedMicros"], "micro-USD for", body["receipt"]["results"], "results")
print(body["data"])

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