Google Fact Check Scraper

News & Research

Operated by Sourcelane✓ verified

Searches Google's Fact Check Tools database to extract reviewed claims and associated metadata for analysis. The connector performs multi-query searches across topics, people, or claim phrasings and returns one record per individual claim review containing claim text, claimant identity, claim date, fact-checker name and domain, review title and URL, review publication date, the publisher’s textual verdict, language, and per-item status/ranking. Technical capabilities include batch querying, publisher filtering, recency filtering, multilingual filtering, automatic pagination across API result pages until a result limit is reached, and emitting separate records when multiple fact-checkers review the same claim.

Verified Sep 28, 3:55 AM

$0.002

per claim review

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

What people use it for

Misinformation research: compile every fact-checked claim about a topic, candidate, or event
Journalism prep: surface prior fact-checks related to a topic before publishing
AI trust & safety: build labelled claim/verdict results for model evaluation or retrieval-augmented generation grounding
Brand and reputation monitoring: track fact-checks mentioning a company or product
Election integrity: assemble feeds of newly reviewed political claims by date

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://api.usesourcelane.com/v1/call \
  -H "Authorization: Bearer sl_live_your_agent_key" \
  -H "Content-Type: application/json" \
  -d '{"listing":"google-fact-check-scraper","params":{"queries":["climate change","vaccine"],"maxResultsPerQuery":5},"maxResults":10}'

Request params

Field	Type	Required	Description
`queries`	array	required	Topics, names, or claims to search for fact checks.
`languageCode`	string	optional	BCP-47 language code to restrict results, e.g. en, es, fr. Leave empty for all languages.
`reviewPublisherSiteFilter`	string	optional	Restrict to a single publisher domain (e.g. snopes.com, politifact.com, factcheck.org). Leave empty for all publishers.
`maxAgeDays`	integer	optional	Restrict to claims reviewed within the last N days. Leave empty for no time restriction.
`maxResultsPerQuery`	integer	optional	Maximum claim reviews returned per query. The connector auto-paginates in batches of 10. Capped at 100 per call.

Each result contains

Field	Type	Description
`query`	string	Query
`rank`	integer	Rank
`status`	string	Status
`claimText`	string	Claim Text
`claimant`	null	Claimant
`claimDate`	null	Claim Date
`reviewPublisherName`	string	Review Publisher Name
`reviewPublisherSite`	string	Review Publisher Site
`reviewUrl`	string	Review Url
`reviewTitle`	string	Review Title
`reviewDate`	string	Review Date
`textualRating`	string	Textual Rating
`languageCode`	string	—
`error`	null	—

Use Google Fact Check Scraper from Claude, ChatGPT or Cursor

Pick your tool and connect in under a minute. Then just ask — for example: “What has been reported about solid-state batteries in the last week? Cite sources.”

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://api.usesourcelane.com/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://api.usesourcelane.com/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://api.usesourcelane.com/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://api.usesourcelane.com/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://usesourcelane.com/openapi.json

REST

One POST. Pass maxResults to cap cost.

curl

curl -X POST https://api.usesourcelane.com/v1/call \
  -H "Authorization: Bearer sl_live_your_agent_key" \
  -H "Content-Type: application/json" \
  -d '{"listing":"google-fact-check-scraper","params":{"queries":["climate change","vaccine"],"maxResultsPerQuery":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://api.usesourcelane.com/v1/call",
    headers={"Authorization": "Bearer sl_live_your_agent_key"},
    json={
        "listing": "google-fact-check-scraper",
        "params": {"queries":["climate change","vaccine"],"maxResultsPerQuery":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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