Wikipedia Article Lookup by URL or Keyword: one-request API, MCP and n8n

{
  "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
}

---
name: wikipedia-article-lookup-by-url-or-keyword
description: "One record per Wikipedia article with summary, description, categories, images, Wikidata ID, coordinates, revision metadata and optional full text, sections, links, references and pageviews. Runs the Apify Actor vexaloom-labs/wikipedia-article-lookup-by-url-or-keyword. Use when the user needs Wikipedia data with fields such as title, url, canonicalUrl, displayTitle, summary, description and an Apify token is available."
compatibility: "Needs network access, curl, and an APIFY_TOKEN environment variable. Runs are billed to the token owner's Apify account."
metadata:
  actor: "vexaloom-labs/wikipedia-article-lookup-by-url-or-keyword"
  store-url: "https://apify.com/vexaloom-labs/wikipedia-article-lookup-by-url-or-keyword"
---

# Wikipedia Article Lookup by URL or Keyword

Use this skill to fetch Wikipedia data with the Apify Actor `vexaloom-labs/wikipedia-article-lookup-by-url-or-keyword` and work with the returned rows.

## Before running

1. Check that `APIFY_TOKEN` is set in the environment. Never print it or write it to a file.
2. Build `input.json` from the user's request using the fields below. Keep limits small for a first run.
3. Confirm the search terms or URLs with the user if the request is ambiguous.

## Input fields

| Field | Type | Meaning |
| --- | --- | --- |
| `articleUrls` | array | Wikipedia article URLs to look up. Works with desktop, mobile and index.php URLs, and with any language edition. |
| `maxArticlesPerQuery` | integer | Maximum search results to fetch for each query (1-500). |
| `maxArticlesPerCategory` | integer | Maximum category members to fetch for each category (1-500). |
| `language` | string | Wikipedia language edition for titles, searches and categories. URL lookups use the language in each URL instead. |
| `maxItems` | integer | Hard cap on total article records emitted across all modes. |
| `includeFullContent` | boolean | Add the complete article body as plain text in fullText (not only the lead summary). |
| `includeSections` | boolean | Add the article's heading outline (title, level, anchor) in sections. |
| `includeExternalLinks` | boolean | Add the outbound external URLs cited or listed by the article in externalLinks. |
| `includeLinks` | boolean | Add the titles of other Wikipedia articles linked from the article in links. |
| `includeReferences` | boolean | Add the number of inline citations in referencesCount. |
| `includePageviews` | boolean | Add a pageview series and total in pageviews, from Wikimedia's pageview API. |
| `pageviewsGranularity` | one of `monthly`, `daily` | Monthly or daily pageview points. Used when Include pageviews is on. |
| `pageviewsPeriods` | integer | Number of pageview periods to return: 1-12 months for monthly, or 1-365 days for daily. |

Example `input.json` (the Actor's published prefill):

```json
{
  "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

```bash
curl -sS -X POST "https://api.apify.com/v2/acts/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 @input.json > results.json
```

The call waits for the run to finish and returns the dataset items as a JSON array. If the run needs more than 300 seconds the API answers with HTTP 408; then start the run with `POST /v2/acts/vexaloom-labs~wikipedia-article-lookup-by-url-or-keyword/runs`, poll `GET /v2/actor-runs/{runId}` until `SUCCEEDED`, and read `GET /v2/datasets/{defaultDatasetId}/items`.

## Output

Each item is one record. Published fields include: `title`, `url`, `canonicalUrl`, `displayTitle`, `summary`, `description`, `language`, `pageId`, `wikidataId`, `wordCount`, `categories`, `thumbnail`, `originalImage`, `images`, `coordinates`, `languageCount`, `availableLanguages`, `lastModified`, `revisionId`, `lastEditor`.

Summarise what was found, cite the record URLs when present, and say how many items came back. Do not invent values for empty fields.