# Wikipedia Scraper | $5 / 1k | Fast & Reliable (`fatihtahta/wikipedia-scraper`) Actor Get full articles and detailed search results with the Wikipedia Scraper. Extract structured data including titles, summaries, citations, and full content. Ideal for market research, AI training, and competitive intelligence. - **URL**: https://apify.com/fatihtahta/wikipedia-scraper.md - **Developed by:** [Fatih Tahta](https://apify.com/fatihtahta) (community) - **Categories:** AI, Developer tools, News - **Stats:** 10 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing $4.99 / 1,000 results 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 ## Wikipedia Scraper | $5 / 1k | Fast & Reliable **Slug:** `fatihtahta/wikipedia-scraper` Get full articles and detailed search results with the Wikipedia Scraper. Extract structured data including titles, summaries, citations, and full content. Ideal for market research, AI training, and competitive intelligence. --- ### Overview Wikipedia is the world’s most comprehensive open encyclopedia, constantly updated across thousands of topics and languages. The **Wikipedia Scraper** automates the collection of article-level insights, transforming public encyclopedia pages into structured datasets ready for analysis. The actor reliably gathers: - Complete article content with metadata such as titles, summaries, and publication details. - Reference counts, internal links, media assets, and infobox attributes for deeper context. - Search and category results expanded into the full articles they reference. Run it once and receive consistent, ready-to-use records—no manual browsing, copying, or formatting required. --- ### Why Use This Actor - **Market researchers & analysts:** Track company histories, industry timelines, and competitive narratives straight from a trusted knowledge base. - **Developers & data teams:** Feed LLM training pipelines, knowledge graphs, or semantic search indices with normalized Wikipedia data. - **Content strategists & educators:** Assemble curated reading lists, bibliographies, or citation-rich briefings without handcrafting each entry. - **Knowledge operations & directory builders:** Populate internal wikis, catalogues, or monitoring dashboards with up-to-date encyclopedia coverage. Use it for lead and partner research, market landscaping, product discovery, directory building, due diligence prep, and any workflow that benefits from detailed, cited background information. --- ### Input Parameters | Parameter | Type | Description | Default | | --- | --- | --- | --- | | `articleInputs` | array of strings | Provide Wikipedia article slugs or full URLs to fetch directly. | — | | `searchInputs` | array of strings | Enter search queries or Wikipedia search result URLs to discover matching articles before scraping them. | — | | `language` | string (select) | Choose the Wikipedia language edition that pairs with the provided slugs and targets. | `"en"` | | `limit` | integer | Maximum number of articles saved per input. Useful for sampling or capping run size. | `50000` | | `proxyConfiguration` | object | Configure the connection settings. The default Apify datacenter proxy keeps runs stable. | Apify datacenter proxy | --- ### Example Input ```json { "articleInputs": [ "YouTube", "https://en.wikipedia.org/wiki/OpenAI" ], "searchInputs": [ "generative AI", "https://en.wikipedia.org/w/index.php?search=cloud%20computing&title=Special:Search&fulltext=1" ], "language": "en", "limit": 250, "proxyConfiguration": { "useApifyProxy": true } } ```` *** ### Example Output ```json { "title": "YouTube", "pageId": 3524766, "language": "en", "url": "https://en.wikipedia.org/wiki/YouTube", "referencesCount": 409, "internalLinks": [ "https://en.wikipedia.org/wiki/Online_video_platform", "https://en.wikipedia.org/wiki/Alphabet_Inc.", "https://en.wikipedia.org/wiki/Social_media_platform" ], "imageUrls": [ "https://upload.wikimedia.org/wikipedia/commons/thumb/2/20/YouTube_2024.svg/330px-YouTube_2024.svg.png" ], "infobox": { "Type of business": "Subsidiary", "Founded": "February 14, 2005", "Headquarters": "San Bruno, California, United States", "Owner": "Alphabet Inc." }, "mainContent": "YouTube is an American online video sharing platform owned by Google...", "fetchedAt": "2025-11-05T10:11:18.247Z" } ``` **Field highlights** - `title`, `pageId`, `language`, and `url` identify the article. - `referencesCount`, `internalLinks`, and `imageUrls` show sourcing depth and media assets. - `infobox` compiles structured summary facts. - `mainContent` delivers the full article body for text analysis or summarization. - `fetchedAt` records when the data was collected. *** ### Notes & Limitations - Wikipedia content changes frequently; schedule runs to keep datasets current. - Always review and respect Wikipedia’s licensing terms and robots guidelines when redistributing or republishing material. - Use the data responsibly, especially when combining it with other datasets or personal information. *** ### Support Questions or custom needs? Open an issue on the **Issues** tab of the actor page in Apify Console and it will be resolved around the clock. Happy Scraping, - Fatih # Actor input Schema ## `articleInputs` (type: `array`): Paste one or more Wikipedia article URLs or slugs to scrape directly. ## `searchInputs` (type: `array`): Provide search terms or Wikipedia search result URLs. The scraper will discover the matching articles and scrape them. ## `language` (type: `string`): Choose the Wikipedia language edition to combine with the slug and target. ## `limit` (type: `integer`): Stop the run after this number of listings has been saved per input. ## `proxyConfiguration` (type: `object`): The default Apify Datacenter proxy keeps the scraper reliable. ## Actor input object example ```json { "articleInputs": [ "YouTube", "https://en.wikipedia.org/wiki/YouTube" ], "searchInputs": [ "YouTube", "https://en.wikipedia.org/w/index.php?search=YouTube&title=Special%3ASearch&profile=advanced&fulltext=1&ns0=1" ], "language": "en", "limit": 50000, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [] } } ``` # 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 = { "articleInputs": [ "YouTube", "https://en.wikipedia.org/wiki/YouTube" ], "searchInputs": [ "YouTube", "https://en.wikipedia.org/w/index.php?search=YouTube&title=Special%3ASearch&profile=advanced&fulltext=1&ns0=1" ] }; // Run the Actor and wait for it to finish const run = await client.actor("fatihtahta/wikipedia-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 = { "articleInputs": [ "YouTube", "https://en.wikipedia.org/wiki/YouTube", ], "searchInputs": [ "YouTube", "https://en.wikipedia.org/w/index.php?search=YouTube&title=Special%3ASearch&profile=advanced&fulltext=1&ns0=1", ], } # Run the Actor and wait for it to finish run = client.actor("fatihtahta/wikipedia-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 '{ "articleInputs": [ "YouTube", "https://en.wikipedia.org/wiki/YouTube" ], "searchInputs": [ "YouTube", "https://en.wikipedia.org/w/index.php?search=YouTube&title=Special%3ASearch&profile=advanced&fulltext=1&ns0=1" ] }' | apify call fatihtahta/wikipedia-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=fatihtahta/wikipedia-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Wikipedia Scraper | $5 / 1k | Fast & Reliable", "description": "Get full articles and detailed search results with the Wikipedia Scraper. Extract structured data including titles, summaries, citations, and full content. Ideal for market research, AI training, and competitive intelligence.", "version": "0.0", "x-build-id": "Ych4WJHuOJ4zgjxiC" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/fatihtahta~wikipedia-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-fatihtahta-wikipedia-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/fatihtahta~wikipedia-scraper/runs": { "post": { "operationId": "runs-sync-fatihtahta-wikipedia-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/fatihtahta~wikipedia-scraper/run-sync": { "post": { "operationId": "run-sync-fatihtahta-wikipedia-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", "properties": { "articleInputs": { "title": "Enter Wikipedia article URLs or slugs", "type": "array", "description": "Paste one or more Wikipedia article URLs or slugs to scrape directly.", "items": { "type": "string" } }, "searchInputs": { "title": "Enter Wikipedia search URLs or queries", "type": "array", "description": "Provide search terms or Wikipedia search result URLs. The scraper will discover the matching articles and scrape them.", "items": { "type": "string" } }, "language": { "title": "Select Wikipedia language - Applicable to queries. Doesn't overrides the URL countries.", "enum": [ "ab", "ace", "ady", "af", "sq", "als", "am", "ami", "anp", "ar", "an", "rki", "arc", "hy", "roa-rup", "frp", "as", "ast", "tay", "atj", "av", "awa", "ay", "az", "ban", "bm", "bn", "bjn", "map-bms", "ba", "eu", "btm", "bbc", "bar", "be", "be-tarask", "bew", "bh", "bpy", "bi", "bs", "br", "bug", "bg", "my", "zh-yue", "ca", "ceb", "bcl", "dtp", "knc", "ckb", "ch", "cbk-zam", "ce", "chr", "chy", "zh", "cu", "cv", "ksh", "kw", "co", "cr", "crh", "hr", "cs", "dag", "da", "diq", "din", "dv", "dty", "nl", "dz", "mhr", "arz", "eml", "en", "myv", "eo", "et", "ee", "ext", "fat", "fo", "hif", "fj", "fi", "fon", "gur", "fr", "fur", "ff", "gag", "gl", "gan", "lg", "ka", "de", "gpe", "glk", "gom", "gor", "got", "el", "gn", "gcr", "gu", "guw", "ht", "hak", "ha", "haw", "he", "hi", "hu", "iba", "is", "io", "igl", "ig", "ilo", "smn", "id", "inh", "ia", "ie", "iu", "ik", "ga", "it", "jam", "ja", "jv", "kbd", "kbp", "kab", "kl", "xal", "kn", "kaa", "krc", "ks", "csb", "kk", "km", "ki", "rw", "kge", "kv", "koi", "kg", "ko", "avk", "ku", "kus", "ky", "lld", "lad", "lbe", "lo", "ltg", "la", "lv", "lez", "lij", "li", "ln", "lfn", "zh-classical", "lt", "olo", "jbo", "lmo", "nds", "nds-nl", "dsb", "lb", "mk", "mad", "mai", "mg", "ms", "ml", "mt", "mni", "gv", "mr", "mzn", "min", "cdo", "xmf", "zh-min-nan", "mwl", "mdf", "mnw", "mn", "ary", "mos", "mi", "nah", "nv", "nap", "ne", "new", "nia", "pcm", "nrm", "frr", "se", "nso", "no", "nn", "nov", "nup", "ny", "nqo", "ann", "oc", "or", "ang", "om", "os", "pwn", "pfl", "pi", "pam", "pag", "rsk", "pap", "ps", "blk", "pdc", "fa", "pcd", "pms", "pl", "pnt", "pt", "pa", "qu", "ro", "rm", "rn", "bxr", "ru", "rue", "szy", "sm", "bat-smg", "sg", "sa", "sat", "skr", "sc", "stq", "sco", "gd", "sr", "sh", "shn", "sn", "scn", "szl", "simple", "sd", "si", "sk", "sl", "so", "azb", "nr", "alt", "dga", "st", "es", "srn", "zgh", "su", "sw", "ss", "sv", "syl", "shi", "tl", "ty", "tdd", "tg", "tly", "ta", "roa-tara", "trv", "tt", "te", "tet", "th", "bo", "tig", "ti", "tpi", "to", "ts", "tn", "tcy", "tum", "tr", "tk", "tyv", "tw", "kcg", "udm", "uk", "hsb", "ur", "ug", "uz", "ve", "vec", "vep", "vi", "rmy", "vo", "fiu-vro", "wa", "war", "guc", "cy", "bdr", "vls", "hyw", "fy", "mrj", "pnb", "wo", "wuu", "xh", "sah", "yi", "yo", "zea", "za", "zu" ], "type": "string", "description": "Choose the Wikipedia language edition to combine with the slug and target.", "default": "en" }, "limit": { "title": "Maximum listings to collect", "minimum": 10, "type": "integer", "description": "Stop the run after this number of listings has been saved per input.", "default": 50000 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "The default Apify Datacenter proxy keeps the scraper reliable.", "default": { "useApifyProxy": true, "apifyProxyGroups": [] } } } }, "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 } } } } } } } } } } ```