Wayback Machine Snapshots Scraper

Web & SEO Tools

Operated by Sourcelane✓ verified

A scraper that enumerates Internet Archive (Wayback Machine) snapshots for a URL, page path, hostname, or entire domain (including subdomains), producing per-capture metadata such as capture timestamp, direct snapshot URL, HTTP status code, MIME type, byte size, and a content digest for deduplication; supports match modes (exact URL, prefix, host, domain), date-range / status-code / MIME-type filtering, collapse/merge of identical captures by content digest, and cursor-based pagination using the Wayback Machine CDX resume key to retrieve large or unlimited numbers of captures across multiple runs—outputs structured, snapshot-level archival history and change-tracking metadata for each archived capture.

Verified Sep 28, 3:55 AM

$0.001

per archived snapshot

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

What people use it for

SEO and competitive intelligence: track when competitors changed pricing, copy, or layout via archived captures
OSINT: recover deleted or modified pages and track page changes over time using archive history
Broken-link recovery: locate the most recent working archived snapshot of a 404'd page
Content audit: enumerate every URL ever archived for a domain, including subdomains
Compliance and legal: construct a timeline showing what a site looked like on specific dates

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":"wayback-machine-snapshots-scraper","params":{"url":"example.com","maxItems":5},"maxResults":10}'

Request params

Field	Type	Required	Description
`url`	string	required	The URL to look up. Use 'Match Type = Prefix' or 'Domain' to scan an entire site rather than a single page.
`matchType`	string	optional	How to match the URL. 'Exact' only returns snapshots of the exact URL; 'Domain' returns snapshots for the domain and all subdomains.
`dateFrom`	string	optional	Optional. Only return snapshots archived on or after this UTC date.
`dateTo`	string	optional	Optional. Only return snapshots archived on or before this UTC date.
`statusCode`	string	optional	Optional. Only return snapshots with this HTTP status (e.g. 200, 301, 404).
`mimeType`	string	optional	Optional. Only return snapshots with this MIME type (e.g. text/html, image/jpeg).
`collapseDuplicates`	boolean	optional	If on, identical captures (same content digest) are deduplicated so you only see snapshots where the content actually changed.
`maxItems`	integer	optional	Maximum snapshots to return. 0 = no cap (paginates until everything is fetched or the run times out). Capped at 100 per call.
`pageId`	string	optional	Optional. Paste the NEXT_PAGE_ID (CDX resume key) from the previous run's Key-value store to continue from where you left off.

Each result contains

Field	Type	Description
`timestamp`	string	Timestamp
`archivedAt`	string	Archived At
`originalUrl`	string	Original Url
`snapshotUrl`	string	Snapshot Url
`statusCode`	integer	Status Code
`mimeType`	string	Mime Type
`contentLength`	integer	Content Length
`digest`	string	Digest

Use Wayback Machine Snapshots Scraper from Claude, ChatGPT or Cursor

Pick your tool and connect in under a minute. Then just ask — for example: “For these 50 domains, find contact emails and what e-commerce platform they run on.”

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":"wayback-machine-snapshots-scraper","params":{"url":"example.com","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://api.usesourcelane.com/v1/call",
    headers={"Authorization": "Bearer sl_live_your_agent_key"},
    json={
        "listing": "wayback-machine-snapshots-scraper",
        "params": {"url":"example.com","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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