Google Geocoding Batch Scraper

Google Maps

Operated by Sourcelane✓ verified

Batch geocoding tool that uses the Google Geocoding API to convert bulk addresses to coordinates (forward geocoding) and convert coordinates to normalized, canonical addresses (reverse geocoding). Outputs are per-result rows that include canonical formatted addresses, coordinates, stable place identifiers, ranked multiple-candidate results, location precision/type indicators, place types, partial-match signals and per-input status/error indicators. Extracts a full set of structured address components (street number, route, neighborhood, locality/city, administrative areas, country and country code, postal code, plus codes). Supports language localization for formatted addresses, region biasing and component constraints to limit or bias matches, result-type and location-type filtering for reverse lookups, and continued processing with per-input error handling.

Verified Sep 28, 12:10 AM

$0.008

per geocode

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

What people use it for

CRM cleanup: normalize free-text address columns into structured fields and coordinates for mapping and enrichment
Real estate / property data: resolve street addresses to coordinates for distance, school zone and amenity analysis
Logistics & routing: pre-geocode delivery addresses for bulk routing and planning
Reverse-lookup analytics: translate GPS pings into city, neighborhood and administrative areas for cohort analysis
Address validation: detect and flag partial matches and zero-result lookups for data cleanup

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-geocoding-batch-scraper","params":{"inputs":["1600 Amphitheatre Pkwy, Mountain View, CA","1 Apple Park Way, Cupertino, CA"]},"maxResults":10}'

Request params

Field	Type	Required	Description
`mode`	string	optional	Forward converts addresses to coordinates. Reverse converts 'lat,lng' pairs to formatted addresses and components.
`inputs`	array	required	Forward mode: one address per line. Reverse mode: one 'lat,lng' pair per line (e.g. 40.7128,-74.006).
`language`	string	optional	BCP-47 language code for the formatted address (e.g. en, es, fr).
`region`	string	optional	Two-letter ccTLD region bias for forward geocoding (e.g. us, gb, de).
`components`	string	optional	Component filter for forward geocoding, e.g. 'country:US' or 'country:GB\|locality:London'.
`resultType`	string	optional	Pipe-separated reverse-geocoding result types, e.g. 'street_address\|locality\|country'.
`locationType`	string	optional	Pipe-separated reverse-geocoding location types, e.g. 'ROOFTOP\|RANGE_INTERPOLATED'.

Each result contains

Field	Type	Description
`input`	string	Input
`mode`	string	Mode
`rank`	integer	Rank
`status`	string	Status
`formattedAddress`	string	Formatted Address
`latitude`	number	Latitude
`longitude`	number	Longitude
`placeId`	string	Place Id
`locationType`	string	Location Type
`partialMatch`	null	Partial Match
`types`	array	Types
`streetNumber`	null	Street Number
`route`	null	—
`neighborhood`	null	—
`subLocality`	null	—
`locality`	string	—
`adminArea1Long`	string	—
`adminArea1Short`	string	—
`adminArea2Long`	string	—
`country`	string	—
`countryCode`	string	—
`postalCode`	string	—
`plusCodeGlobal`	string	—
`plusCodeCompound`	string	—
`error`	null	—

Use Google Geocoding Batch 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-geocoding-batch-scraper","params":{"inputs":["1600 Amphitheatre Pkwy, Mountain View, CA","1 Apple Park Way, Cupertino, CA"]},"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-geocoding-batch-scraper",
        "params": {"inputs":["1600 Amphitheatre Pkwy, Mountain View, CA","1 Apple Park Way, Cupertino, CA"]},
        "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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