# 📚 Wayback Machine Checker (`taroyamada/wayback-machine-checker`) Actor Check if URLs are archived on the Wayback Machine and find closest snapshots by date. Bulk lookup via Internet Archive API. Ideal for compliance, legal evidence, and content restoration. - **URL**: https://apify.com/taroyamada/wayback-machine-checker.md - **Developed by:** [åĪŠéƒŽ åąąį”°](https://apify.com/taroyamada) (community) - **Categories:** Developer tools, Automation - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## 📚 Wayback Machine Checker Check if URLs are archived on the Wayback Machine and find closest snapshots by date. Essential for compliance, legal evidence, and content restoration. ### Store Quickstart Start with the **Quickstart** template to verify 3 archived URLs. For bulk verification, use **Portfolio Archive Check** with up to 500 URLs. ### Key Features - 📚 **Official Internet Archive API** — Uses archive.org/wayback/available endpoint - 📅 **Closest-snapshot lookup** — Find archived version nearest to any date - 🔍 **Availability check** — Know if a URL was ever archived - 📊 **Snapshot count** — Total archived versions per URL - ⚡ **Bulk processing** — Up to 500 URLs per run - 🔑 **No API key needed** — Free, open Internet Archive service ### Use Cases | Who | Why | |-----|-----| | **Compliance teams** | Legal evidence preservation for regulated industries | | **Journalists** | Verify historical versions of web pages that may have been edited | | **SEO recovery** | Restore content from accidentally deleted pages | | **Brand protection** | Track archived versions of competitor sites over time | | **Academic research** | Cite archived web sources in publications | ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | urls | string[] | (required) | URLs to check in archive (max 500) | | closest | string | | Target date YYYY-MM-DD (optional) | | checkAvailability | boolean | true | Return availability details | ### Input Example ```json { "urls": ["https://example.com/old-article", "https://deleted-site.com"], "closest": "2020-01-01", "checkAvailability": true } ```` ### Output Example ```json { "url": "https://example.com/old-article", "available": true, "closestSnapshot": { "url": "https://web.archive.org/web/20200115000000/https://example.com/old-article", "timestamp": "20200115000000" }, "archivedVersions": 23 } ``` ### FAQ **How far back can I check?** Internet Archive has snapshots back to 1996. Coverage depends on whether a URL was crawled. **Why is my URL 'not available'?** Either it was never archived, or Internet Archive excluded it (due to robots.txt or removal request). **Is this the same as running `curl` to archive.org?** Yes, but with bulk processing, error handling, and structured output for datasets. **Can I archive new URLs?** This actor only reads from the archive. To save NEW pages, use archive.org's /save/ endpoint. ### Related Actors URL/Link Tools cluster — explore related Apify tools: - [🔗 URL Health Checker](https://apify.com/taroyamada/bulk-url-health-checker) — Bulk-check HTTP status codes, redirects, SSL validity, and response times for thousands of URLs. - [🔗 Broken Link Checker](https://apify.com/taroyamada/broken-link-checker) — Crawl websites to find broken links, 404 errors, and dead URLs. - [🔗 URL Unshortener](https://apify.com/taroyamada/url-shortener-resolver) — Expand bit. - [🏷ïļ Meta Tag Analyzer](https://apify.com/taroyamada/meta-tag-analyzer) — Analyze meta tags, Open Graph, Twitter Cards, JSON-LD, and hreflang for any URL. ### Cost **Pay Per Event**: - `actor-start`: $0.01 (flat fee per run) - `dataset-item`: $0.003 per output item **Example**: 1,000 items = $0.01 + (1,000 × $0.003) = **$3.01** No subscription required — you only pay for what you use. # Actor input Schema ## `urls` (type: `array`): URLs to check in the Wayback Machine (max 500). ## `closest` (type: `string`): Find snapshot closest to this date (YYYYMMDD format). Leave empty for latest. ## `concurrency` (type: `integer`): Keep low to respect Internet Archive rate limits. ## `delivery` (type: `string`): Where to send results: dataset or webhook ## `webhookUrl` (type: `string`): Webhook URL to POST results to (if delivery=webhook) ## `dryRun` (type: `boolean`): Run without saving results (for testing) ## Actor input object example ```json { "urls": [ "https://example.com", "https://google.com" ], "concurrency": 3, "delivery": "dataset", "dryRun": false } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "urls": [ "https://example.com", "https://google.com" ] }; // Run the Actor and wait for it to finish const run = await client.actor("taroyamada/wayback-machine-checker").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`ðŸ’ū Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "urls": [ "https://example.com", "https://google.com", ] } # Run the Actor and wait for it to finish run = client.actor("taroyamada/wayback-machine-checker").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("ðŸ’ū Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "urls": [ "https://example.com", "https://google.com" ] }' | apify call taroyamada/wayback-machine-checker --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=taroyamada/wayback-machine-checker", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "📚 Wayback Machine Checker", "description": "Check if URLs are archived on the Wayback Machine and find closest snapshots by date. Bulk lookup via Internet Archive API. Ideal for compliance, legal evidence, and content restoration.", "version": "0.1", "x-build-id": "ImUJWYW4vIrFrbefz" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/taroyamada~wayback-machine-checker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-taroyamada-wayback-machine-checker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/taroyamada~wayback-machine-checker/runs": { "post": { "operationId": "runs-sync-taroyamada-wayback-machine-checker", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/taroyamada~wayback-machine-checker/run-sync": { "post": { "operationId": "run-sync-taroyamada-wayback-machine-checker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "urls" ], "properties": { "urls": { "title": "URLs to Check", "type": "array", "description": "URLs to check in the Wayback Machine (max 500).", "items": { "type": "string" } }, "closest": { "title": "Closest to Date", "type": "string", "description": "Find snapshot closest to this date (YYYYMMDD format). Leave empty for latest." }, "concurrency": { "title": "Concurrency", "minimum": 1, "maximum": 5, "type": "integer", "description": "Keep low to respect Internet Archive rate limits.", "default": 3 }, "delivery": { "title": "Delivery Mode", "enum": [ "dataset", "webhook" ], "type": "string", "description": "Where to send results: dataset or webhook", "default": "dataset" }, "webhookUrl": { "title": "Webhook URL", "type": "string", "description": "Webhook URL to POST results to (if delivery=webhook)" }, "dryRun": { "title": "Dry Run", "type": "boolean", "description": "Run without saving results (for testing)", "default": false } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```