# Internet Archive Scraper & Data Extractor (`immense_insulator/internet-archive-data-extractor`) Actor Search Internet Archive and export structured metadata, file inventories, checksums, and direct download links to JSON, CSV, Excel, or API. - **URL**: https://apify.com/immense\_insulator/internet-archive-data-extractor.md - **Developed by:** [xinyao a](https://apify.com/immense_insulator) (community) - **Categories:** Developer tools, Education, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $2.00 / 1,000 dataset items 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## Internet Archive Data Extractor Search the Internet Archive catalog and export clean, structured records for research, AI pipelines, digital humanities, media discovery, and archival analysis. The Actor uses Internet Archive's public APIs. It does not require cookies, login credentials, browser automation, or proxies. ### What you get Each dataset item can contain: - Internet Archive identifier and canonical item URL - title, creator, date, year, description, and media type - downloads, collections, subjects, and languages - license, public date, and added date - optional full metadata - optional downloadable file inventory - file format, size, SHA-1, MD5, and direct download URL Results are available through the Apify dataset as JSON, CSV, Excel, XML, RSS, or via API and integrations. ### Example input ```json { "query": "collection:nasa", "mediaType": "texts", "yearFrom": 2010, "yearTo": 2026, "sortBy": "downloads desc", "maxItems": 100, "includeMetadata": true, "includeFiles": true, "fileLimit": 25 } ```` Plain-text searches also work: ```json { "query": "climate change", "mediaType": "movies", "maxItems": 50 } ``` Internet Archive advanced-search clauses can be used in `query`, including `collection:`, `creator:`, `subject:`, and boolean operators. ### Example output ```json { "identifier": "Expedition-1-Resource-Reel", "title": "Expedition 1 Resource Reel", "creator": ["john.l.stoll@nasa.gov"], "date": "2020-11-04T00:00:00Z", "year": 2020, "mediaType": "texts", "downloads": 622, "collections": ["jsc-pao-video-collection", "nasa"], "detailsUrl": "https://archive.org/details/Expedition-1-Resource-Reel", "downloadBaseUrl": "https://archive.org/download/Expedition-1-Resource-Reel/", "files": [ { "name": "example.mp4", "format": "h.264", "size": 48210560, "sha1": "dae4d840cad6cf8ea92ef468e84e1d59fb24fc70", "downloadUrl": "https://archive.org/download/Expedition-1-Resource-Reel/example.mp4" } ] } ``` ### Input fields | Field | Description | |---|---| | `query` | Required plain-text or Internet Archive advanced-search query | | `mediaType` | Optional texts, movies, audio, software, image, or web filter | | `yearFrom` / `yearTo` | Optional inclusive year range | | `sortBy` | Most downloaded, newest, oldest, or title A-Z | | `maxItems` | Maximum records, from 1 to 10,000 | | `includeMetadata` | Fetch the complete metadata object for every record | | `includeFiles` | Include downloadable file records and checksums | | `fileLimit` | Maximum file entries included per item | ### Cost and performance Basic catalog searches use a single paginated public endpoint and are inexpensive. Enabling full metadata or files performs an additional request per item and therefore takes longer. The Actor uses bounded concurrency and retries temporary HTTP failures. Start with a small `maxItems` value to verify your query before a large run. ### Responsible use Internet Archive records can have different licenses and access conditions. A downloadable URL does not automatically grant permission to reuse or redistribute its content. Check each item's license and applicable law before reuse. This Actor is an independent data tool and is not affiliated with or endorsed by Internet Archive. # Actor input Schema ## `query` (type: `string`): Internet Archive advanced-search query. Plain text is accepted; advanced clauses such as mediatype:texts are also supported. ## `mediaType` (type: `string`): Optional mediatype filter. ## `yearFrom` (type: `integer`): Optional earliest year (inclusive). ## `yearTo` (type: `integer`): Optional latest year (inclusive). ## `sortBy` (type: `string`): Choose how matching records are ordered before export. ## `maxItems` (type: `integer`): Maximum records to export. Hard limit: 10,000. ## `includeMetadata` (type: `boolean`): Fetch each item's full metadata record. Slower but richer. ## `includeFiles` (type: `boolean`): Include file names, formats, sizes, checksums, and direct download URLs. Enables full metadata automatically. ## `fileLimit` (type: `integer`): Maximum file entries returned for each item. ## Actor input object example ```json { "query": "collection:opensource_movies", "mediaType": "", "sortBy": "downloads desc", "maxItems": 100, "includeMetadata": false, "includeFiles": false, "fileLimit": 100 } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("immense_insulator/internet-archive-data-extractor").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 = {} # Run the Actor and wait for it to finish run = client.actor("immense_insulator/internet-archive-data-extractor").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 '{}' | apify call immense_insulator/internet-archive-data-extractor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=immense_insulator/internet-archive-data-extractor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Internet Archive Scraper & Data Extractor", "description": "Search Internet Archive and export structured metadata, file inventories, checksums, and direct download links to JSON, CSV, Excel, or API.", "version": "0.1", "x-build-id": "lJn1XWs1YmBN6TxqZ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/immense_insulator~internet-archive-data-extractor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-immense_insulator-internet-archive-data-extractor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/immense_insulator~internet-archive-data-extractor/runs": { "post": { "operationId": "runs-sync-immense_insulator-internet-archive-data-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/immense_insulator~internet-archive-data-extractor/run-sync": { "post": { "operationId": "run-sync-immense_insulator-internet-archive-data-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "query" ], "properties": { "query": { "title": "Search query", "type": "string", "description": "Internet Archive advanced-search query. Plain text is accepted; advanced clauses such as mediatype:texts are also supported.", "default": "collection:opensource_movies" }, "mediaType": { "title": "Media type", "enum": [ "", "texts", "movies", "audio", "software", "image", "web" ], "type": "string", "description": "Optional mediatype filter.", "default": "" }, "yearFrom": { "title": "Year from", "minimum": 1, "maximum": 2100, "type": "integer", "description": "Optional earliest year (inclusive)." }, "yearTo": { "title": "Year to", "minimum": 1, "maximum": 2100, "type": "integer", "description": "Optional latest year (inclusive)." }, "sortBy": { "title": "Sort order", "enum": [ "downloads desc", "date desc", "date asc", "titleSorter asc" ], "type": "string", "description": "Choose how matching records are ordered before export.", "default": "downloads desc" }, "maxItems": { "title": "Maximum items", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum records to export. Hard limit: 10,000.", "default": 100 }, "includeMetadata": { "title": "Fetch full metadata", "type": "boolean", "description": "Fetch each item's full metadata record. Slower but richer.", "default": false }, "includeFiles": { "title": "Include downloadable files", "type": "boolean", "description": "Include file names, formats, sizes, checksums, and direct download URLs. Enables full metadata automatically.", "default": false }, "fileLimit": { "title": "Files per item", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum file entries returned for each item.", "default": 100 } } }, "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 } } } } } } } } } } ```