Google Distance Matrix Scraper

Google Maps

Operated by Sourcelane✓ verified

Bulk-calculates travel time and distance for every origin–destination pair using the Google Distance Matrix API. Produces one result row per origin×destination pair with travel distance (meters and human-readable text), travel duration (seconds and human-readable text), traffic-aware driving ETAs and duration-in-traffic when a departure time is provided, transit fare values and currency for transit mode, and travel-mode identification for driving, walking, bicycling, and transit. Implements automatic batching (splitting large matrices into 10×10 requests to respect the 100-element-per-request limit) and merges batches back into a single matrix; includes per-pair status and error reporting so unreachable or invalid pairs yield a row with a status code and error message. Suitable for bulk origin–destination matrix generation, comparative mode analysis, and traffic- and fare-aware travel-time results.

Verified Sep 28, 12:10 AM

$0.012

per route pair

Up to 83 per call. Only pay for results returned; failed calls are refunded.

What people use it for

Delivery & logistics routing — pre-calculate drive times from warehouses to every customer, traffic included
Site selection — find the candidate location with the shortest average drive time to a list of points of interest
Field service dispatch — match technicians to jobs by drive time
Real estate commute analysis — calculate transit/drive time from listings to a list of workplaces, gyms, schools
Bulk ETA APIs — feed a CRM or other systems with up-to-date drive times to many accounts
Travel research — compare driving vs transit vs cycling time for a list of trips

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-distance-matrix-scraper","params":{"origins":["1600 Amphitheatre Pkwy, Mountain View, CA","1 Apple Park Way, Cupertino, CA"],"destinations":["SFO Airport, San Francisco, CA","Stanford University, CA"]},"maxResults":10}'

Request params

Field	Type	Required	Description
`origins`	array	required	Origin addresses or 'lat,lng' pairs. The connector auto-chunks large lists into 10x10 batches to respect the API's 100-element-per-request limit.
`destinations`	array	required	Destination addresses or 'lat,lng' pairs. Every origin is paired with every destination, producing one results row per pair.
`mode`	string	optional	How the route between each origin and destination is calculated. Use Transit for public-transport ETAs and fares.
`units`	string	optional	Units used for the human-readable distance and duration text. Numeric meters and seconds are always returned alongside.
`avoid`	array	optional	Features to avoid: tolls, highways, ferries, indoor. Driving/walking/bicycling modes only.
`departureTime`	string	optional	Departure time for traffic-aware ETAs. Use 'now' or a Unix-epoch timestamp in seconds. Required for transit and for traffic-aware driving.
`arrivalTime`	string	optional	Arrival time as a Unix-epoch timestamp in seconds. Transit mode only. Mutually exclusive with departure time.
`trafficModel`	string	optional	Traffic prediction model. Only applied when Departure time is set and mode is driving.
`transitMode`	array	optional	Transit modes to consider: bus, subway, train, tram, rail. Transit mode only.
`language`	string	optional	BCP-47 language code for distance/duration text (e.g. en, es, fr).
`region`	string	optional	Two-letter region code to bias address resolution (e.g. us, gb, de).

Each result contains

Field	Type	Description
`origin`	string	Origin
`destination`	string	Destination
`originResolved`	string	Origin Resolved
`destinationResolved`	string	Destination Resolved
`mode`	string	Mode
`status`	string	Status
`distanceMeters`	integer	Distance Meters
`distanceText`	string	Distance Text
`durationSeconds`	integer	Duration Seconds
`durationText`	string	Duration Text
`durationInTrafficSeconds`	null	Duration In Traffic Seconds
`durationInTrafficText`	null	Duration In Traffic Text
`fareValue`	null	—
`fareCurrency`	null	—
`fareText`	null	—
`error`	null	—

Use Google Distance Matrix 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-distance-matrix-scraper","params":{"origins":["1600 Amphitheatre Pkwy, Mountain View, CA","1 Apple Park Way, Cupertino, CA"],"destinations":["SFO Airport, San Francisco, CA","Stanford University, 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-distance-matrix-scraper",
        "params": {"origins":["1600 Amphitheatre Pkwy, Mountain View, CA","1 Apple Park Way, Cupertino, CA"],"destinations":["SFO Airport, San Francisco, CA","Stanford University, 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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