# Wayback Machine Snapshots Scraper — Internet Archive History (`seemuapps/wayback-machine-snapshots-scraper`) Actor List every Internet Archive snapshot of a URL, page, or whole domain. Timestamp, snapshot URL, status code, mime type, content length. No login. - **URL**: https://apify.com/seemuapps/wayback-machine-snapshots-scraper.md - **Developed by:** [Andrew](https://apify.com/seemuapps) (community) - **Categories:** Automation, Developer tools, Agents - **Stats:** 1 total users, 0 monthly users, 90.9% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 archived snapshot returneds 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 Snapshots Scraper — Internet Archive History List every Internet Archive snapshot of a URL, page, or whole domain — with timestamp, snapshot URL, status code, mime type, and content length. No login. ### What you get - Every archived capture of a URL since the page first hit the Wayback Machine - Direct snapshot URLs (`https://web.archive.org/web/{timestamp}/{url}`) — paste straight into a browser - HTTP status code, MIME type, and byte size for each capture - Content digest, so you can dedupe identical captures and only see when the page actually changed - Date-range, status-code, and MIME-type filters - Match modes: exact URL, prefix, hostname, or whole domain (covers subdomains) - Cursor-based pagination — fetch unlimited captures across multiple runs - Direct export to JSON, CSV, Excel, or Google Sheets ### Use cases - SEO and competitive intel — track when a competitor changed their pricing, copy, or layout - OSINT — recover deleted or modified pages, track changes over time - Broken-link recovery — find the most recent working snapshot of a 404'd page - Content audit — list every URL ever archived for a domain (subdomains included) - Compliance and legal — produce a timeline of what a site looked like on a given date ### How to use 1. Enter a **URL** (e.g. `example.com`, `https://example.com/page`) 2. Choose a **Match Type**: - **Exact** — only this URL - **Prefix** — this URL and everything below - **Host** — every URL on this hostname - **Domain** — every URL across the whole domain and its subdomains 3. Optionally filter by **Date from / Date to** (YYYY-MM-DD), **HTTP status code** (e.g. `200`), or **MIME type** (e.g. `text/html`) 4. Toggle **Collapse duplicate captures** to dedupe by content digest (recommended) 5. Set **Max snapshots** (default 1000; 0 for unlimited) 6. Run the actor — one snapshot per row in the **Dataset** tab 7. To fetch more snapshots, open the **Key-value store** tab → copy the `NEXT_PAGE_ID` value → paste it into **Page ID** on your next run ### Output format One snapshot per dataset row — perfect for direct CSV, Excel, or Google Sheets export: ```json { "timestamp": "20231215120000", "archivedAt": "2023-12-15T12:00:00.000Z", "originalUrl": "http://example.com/", "snapshotUrl": "https://web.archive.org/web/20231215120000/http://example.com/", "statusCode": 200, "mimeType": "text/html", "contentLength": 1234, "digest": "ABC123XYZ" } ```` ### Pagination Big sites can have hundreds of thousands of snapshots. The actor saves a resume cursor (the Internet Archive's CDX resume key) to the default **Key-value store** under `NEXT_PAGE_ID`. 1. Open the **Key-value store** tab on the run page 2. Copy the value of `NEXT_PAGE_ID` 3. Start a new run and paste it into **Page ID** When `NEXT_PAGE_ID` is `null`, all snapshots have been fetched. ### Input options | Field | Type | Description | |-------|------|-------------| | URL | string | URL or domain to look up (required) | | Match Type | enum | Exact / Prefix / Host / Domain | | Date from | string | YYYY-MM-DD UTC — optional | | Date to | string | YYYY-MM-DD UTC — optional | | HTTP status code | string | Filter to one HTTP status, e.g. `200` | | MIME type | string | Filter by content type, e.g. `text/html` | | Collapse duplicates | boolean | Dedupe by content digest — default on | | Max snapshots | integer | Cap per run — default 1000, 0 for unlimited | | Page ID | string | `NEXT_PAGE_ID` from the previous run, to resume pagination | # Actor input Schema ## `url` (type: `string`): The URL to look up. Use 'Match Type = Prefix' or 'Domain' to scan an entire site rather than a single page. ## `matchType` (type: `string`): How to match the URL. 'Exact' only returns snapshots of the exact URL; 'Domain' returns snapshots for the domain and all subdomains. ## `dateFrom` (type: `string`): Optional. Only return snapshots archived on or after this UTC date. ## `dateTo` (type: `string`): Optional. Only return snapshots archived on or before this UTC date. ## `statusCode` (type: `string`): Optional. Only return snapshots with this HTTP status (e.g. 200, 301, 404). ## `mimeType` (type: `string`): Optional. Only return snapshots with this MIME type (e.g. text/html, image/jpeg). ## `collapseDuplicates` (type: `boolean`): If on, identical captures (same content digest) are deduplicated so you only see snapshots where the content actually changed. ## `maxItems` (type: `integer`): Maximum snapshots to return. 0 = no cap (paginates until everything is fetched or the run times out). ## `pageId` (type: `string`): Optional. Paste the NEXT\_PAGE\_ID (CDX resume key) from the previous run's Key-value store to continue from where you left off. ## Actor input object example ```json { "url": "example.com", "matchType": "exact", "collapseDuplicates": true, "maxItems": 1000 } ``` # Actor output Schema ## `results` (type: `string`): One row per snapshot: timestamp, archivedAt (ISO), originalUrl, snapshotUrl, statusCode, mimeType, contentLength, digest. ## `nextPageId` (type: `string`): NEXT\_PAGE\_ID record in the default key-value store (CDX resume key). Paste into Page ID on the next run to resume; null when all snapshots have been fetched. # 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 = { "url": "example.com", "dateFrom": "", "dateTo": "", "statusCode": "", "mimeType": "" }; // Run the Actor and wait for it to finish const run = await client.actor("seemuapps/wayback-machine-snapshots-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 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 = { "url": "example.com", "dateFrom": "", "dateTo": "", "statusCode": "", "mimeType": "", } # Run the Actor and wait for it to finish run = client.actor("seemuapps/wayback-machine-snapshots-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 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 '{ "url": "example.com", "dateFrom": "", "dateTo": "", "statusCode": "", "mimeType": "" }' | apify call seemuapps/wayback-machine-snapshots-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=seemuapps/wayback-machine-snapshots-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Wayback Machine Snapshots Scraper — Internet Archive History", "description": "List every Internet Archive snapshot of a URL, page, or whole domain. Timestamp, snapshot URL, status code, mime type, content length. No login.", "version": "1.0", "x-build-id": "U2ZcxqG1qfDWCztGC" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/seemuapps~wayback-machine-snapshots-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-seemuapps-wayback-machine-snapshots-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/seemuapps~wayback-machine-snapshots-scraper/runs": { "post": { "operationId": "runs-sync-seemuapps-wayback-machine-snapshots-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/seemuapps~wayback-machine-snapshots-scraper/run-sync": { "post": { "operationId": "run-sync-seemuapps-wayback-machine-snapshots-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "url" ], "properties": { "url": { "title": "URL", "type": "string", "description": "The URL to look up. Use 'Match Type = Prefix' or 'Domain' to scan an entire site rather than a single page." }, "matchType": { "title": "Match Type", "enum": [ "exact", "prefix", "host", "domain" ], "type": "string", "description": "How to match the URL. 'Exact' only returns snapshots of the exact URL; 'Domain' returns snapshots for the domain and all subdomains.", "default": "exact" }, "dateFrom": { "title": "Date from (YYYY-MM-DD)", "type": "string", "description": "Optional. Only return snapshots archived on or after this UTC date." }, "dateTo": { "title": "Date to (YYYY-MM-DD)", "type": "string", "description": "Optional. Only return snapshots archived on or before this UTC date." }, "statusCode": { "title": "HTTP status code filter", "type": "string", "description": "Optional. Only return snapshots with this HTTP status (e.g. 200, 301, 404)." }, "mimeType": { "title": "MIME type filter", "type": "string", "description": "Optional. Only return snapshots with this MIME type (e.g. text/html, image/jpeg)." }, "collapseDuplicates": { "title": "Collapse duplicate captures", "type": "boolean", "description": "If on, identical captures (same content digest) are deduplicated so you only see snapshots where the content actually changed.", "default": true }, "maxItems": { "title": "Max snapshots", "minimum": 0, "type": "integer", "description": "Maximum snapshots to return. 0 = no cap (paginates until everything is fetched or the run times out).", "default": 1000 }, "pageId": { "title": "Page ID (pagination)", "type": "string", "description": "Optional. Paste the NEXT_PAGE_ID (CDX resume key) from the previous run's Key-value store to continue from where you left off." } } }, "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 } } } } } } } } } } ```