Pricing

from $0.70 / 1,000 article returneds

Wikipedia Scraper · Articles, Extracts, Categories & Links

Extract Wikipedia articles, full text, lead summaries, categories, internal links, page views, and metadata across languages. HTTP-only Wikipedia API scraper for research, LLM datasets, and knowledge graphs.

Pricing

from $0.70 / 1,000 article returneds

Rating

0.0

(0)

Developer

Tarek Etman

Actor stats

Bookmarked

Total users

Monthly active users

4 days ago

Last modified

Categories

Developer tools

You can access the Wikipedia Scraper · Articles, Extracts, Categories & Links programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "searchTerms": [
10        "Artificial intelligence",
11        "Quantum computing",
12        "Machine learning",
13    ],
14    "category": "",
15    "language": "en",
16    "namespace": "",
17    "searchSort": "",
18    "maxArticles": 50,
19    "includeExtract": True,
20    "extractScope": "intro",
21    "includeCategories": True,
22    "includeHiddenCategories": False,
23    "includeWikidataId": True,
24    "includePageImage": True,
25    "includeLanguageCount": False,
26    "includePageviews": True,
27    "includeLinks": False,
28}
29
30# Run the Actor and wait for it to finish
31run = client.actor("reapx/wikipedia-scraper").call(run_input=run_input)
32
33# Fetch and print Actor results from the run's dataset (if there are any)
34print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
35for item in client.dataset(run.default_dataset_id).iterate_items():
36    print(item)
37
38# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Wikipedia Scraper · Articles, Extracts, Categories & Links API in Python

The Apify API client for Python is the official library that allows you to use Wikipedia Scraper · Articles, Extracts, Categories & Links API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Wikipedia Scraper · Articles, Extracts, Categories & Links API in JavaScript

Wikipedia Scraper · Articles, Extracts, Categories & Links API through CLI

Wikipedia Scraper · Articles, Extracts, Categories & Links OpenAPI definition

Wikipedia Scraper · Articles, Extracts, Categories & Links API

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