Wikipedia Article Lookup by URL or Keyword

What it returns

39 fields from the published dataset schema. Export as JSON, CSV or Excel, or read the dataset through the Apify API.

• titleCanonical article title
• urlCanonical desktop Wikipedia URL
• canonicalUrlCanonical article URL (same as url unless the API reports a different canonical form)
• displayTitleTitle as displayed by Wikipedia
• summaryLead-section plain-text extract
• descriptionShort Wikidata description in the article language
• languageWikipedia language edition code
• pageIdWikipedia page ID
• wikidataIdLinked Wikidata entity ID, e.g. Q937
• wordCountWord count of the best available text
• categoriesArticle categories without the Category: prefix
• thumbnailLead image thumbnail {source, width, height}
• originalImageOriginal lead image {source, width, height}
• imagesViewable image URLs from the article body
• coordinatesGeographic coordinates {latitude, longitude} when present
• languageCountNumber of other language editions
• availableLanguagesLanguage codes of other editions
• lastModifiedISO 8601 last-edit timestamp
• revisionIdLatest revision ID
• lastEditorUser who made the latest revision
• lastEditCommentLatest revision comment
• revisionSizeLatest revision size in bytes
• isDisambiguationTrue for disambiguation pages
• redirectedFromInput title that redirected to this article
• fullTextComplete article body as plain text
• sectionsSection outline [{title, level, anchor}]
• externalLinksOutbound external URLs
• linksTitles of linked Wikipedia articles
• referencesCountNumber of inline citations
• pageviewsPageview series {granularity, start, end, total, points}

Input

Example input

Built from the input form's published example values and defaults.

{
  "articleUrls": [
    "https://en.wikipedia.org/wiki/Python_(programming_language)"
  ],
  "maxArticlesPerQuery": 5,
  "maxArticlesPerCategory": 20,
  "language": "en",
  "maxItems": 100,
  "includeFullContent": false,
  "includeSections": false,
  "includeExternalLinks": false,
  "includeLinks": false,
  "includeReferences": false,
  "includePageviews": false,
  "pageviewsGranularity": "monthly",
  "pageviewsPeriods": 12
}

Run it from code or an AI agent

The same run through the Apify API, with the example input. You need an Apify API token; the run is billed to your account at the Store price.

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run_input = {
    "articleUrls": [
        "https://en.wikipedia.org/wiki/Python_(programming_language)"
    ],
    "maxArticlesPerQuery": 5,
    "maxArticlesPerCategory": 20,
    "language": "en",
    "maxItems": 100,
    "includeFullContent": False,
    "includeSections": False,
    "includeExternalLinks": False,
    "includeLinks": False,
    "includeReferences": False,
    "includePageviews": False,
    "pageviewsGranularity": "monthly",
    "pageviewsPeriods": 12
}

run = client.actor("vexaloom-labs/wikipedia-article-lookup-by-url-or-keyword").call(run_input=run_input)
if run is None:
    raise RuntimeError("The Actor run was not found.")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "<YOUR_APIFY_TOKEN>" });
const input = {
    "articleUrls": [
        "https://en.wikipedia.org/wiki/Python_(programming_language)"
    ],
    "maxArticlesPerQuery": 5,
    "maxArticlesPerCategory": 20,
    "language": "en",
    "maxItems": 100,
    "includeFullContent": false,
    "includeSections": false,
    "includeExternalLinks": false,
    "includeLinks": false,
    "includeReferences": false,
    "includePageviews": false,
    "pageviewsGranularity": "monthly",
    "pageviewsPeriods": 12
};

const run = await client.actor("vexaloom-labs/wikipedia-article-lookup-by-url-or-keyword").call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

curl -X POST "https://api.apify.com/v2/actors/vexaloom-labs~wikipedia-article-lookup-by-url-or-keyword/run-sync-get-dataset-items"   -H "Authorization: Bearer $APIFY_TOKEN"   -H "Content-Type: application/json"   -d '{"articleUrls":["https://en.wikipedia.org/wiki/Python_(programming_language)"],"maxArticlesPerQuery":5,"maxArticlesPerCategory":20,"language":"en","maxItems":100,"includeFullContent":false,"includeSections":false,"includeExternalLinks":false,"includeLinks":false,"includeReferences":false,"includePageviews":false,"pageviewsGranularity":"monthly","pageviewsPeriods":12}'

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=vexaloom-labs/wikipedia-article-lookup-by-url-or-keyword",
      "headers": {
        "Authorization": "Bearer <YOUR_APIFY_TOKEN>"
      }
    }
  }
}

What a run costs

The result rate falls on higher Apify plans. Each figure is the published per-result rate times the number of results.

• Every run also has a start event, charged per GB of memory (minimum one): $0.10 on Free, $0.03 on Business. At its default memory of 4 GB a run starts at $0.40 on Free. Fewer, larger runs keep this small.
• The Free plan includes $5 of monthly usage (Apify pricing, checked 2026-11-11); at the Free rate that covers at most about 5,050 results, less start events and platform usage.
• Worked example: 10,000 results in one run on the Free plan cost $10.30 ($9.90 for results + $0.40 start), plus Apify platform usage (compute), billed separately by Apify.
• Pay per event. Platform usage (compute) is billed by Apify on top of the event prices. Compare other tools in the cost estimator.

Where it fits among Wikipedia routes

It ranks 1 of 1 catalogue Actors for Wikipedia on the published formula (fields, price, reliability, freshness). Its line is highlighted on the map.

What people use it for

• retrieve article details
• search articles by keyword
• inspect revision history

Similar Actors

Questions people ask

Sources

• Wikipedia Article Lookup by URL or Keyword on Apify Store
• Published build with input and output schema (JSON)
• MediaWiki Action API and Wikimedia Enterprise documentation