Wikipedia API Python Client
Extract Wikipedia data with this Wikipedia API Python client. Get programmatic access to URLs, categories, revision data, Article titles, page content, and more using simple Python code. Start free, no credit card required.
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Integrate Wikipedia API
The Apify API client for Python is the official library that allows you to use Wikipedia API in Python, providing convenience functions and automatic retries on errors. Get started with simple pip installation and robust error handling built-in.
Python
JavaScript
HTTP
MCP
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = { "pages": [9 "https://en.wikipedia.com/wiki/JavaScript",10 "https://terraria.fandom.com/wiki/Bosses",11 ] }12
13# Run the Actor and wait for it to finish14run = client.actor("jupri/wiki-scraper").call(run_input=run_input)15
16# Fetch and print Actor results from the run's dataset (if there are any)17print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])18for item in client.dataset(run["defaultDatasetId"]).iterate_items():19 print(item)20
21# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startGet data with Wikipedia API Python client
Use our Python API client to extract MediaWiki data by providing Wikipedia or Fandom URLs or search terms. The API returns structured data, including article titles, full page content, URLs, categories, and revision information.
Input
{ "pages": [ "<https://en.wikipedia.com/wiki/JavaScript>", "<https://terraria.fandom.com/wiki/Bosses>" ]}Output
{ "title": "Chocolate", "lastmod": "2025-07-22T22:18:00.000Z", "sections": [ { "content": [ { "text": "For other uses, see Chocolate (disambiguation).", "type": "note", "links": [ "..." ] }, "...", { "text": "Chocolate is a food made from roasted and ground cocoa beans...", "type": "paragraph", "links": [ { "pos": 49, "href": "<https://en.wikipedia.org/wiki/Cocoa_bean>", "text": "cocoa beans", "title": "Cocoa bean" }, "..." ] } ] }, "..." ], "languages": [ { "href": "<https://af.wikipedia.org/wiki/Sjokolade>", "lang": "af", "title": "Sjokolade", "autonym": "Afrikaans", "localName": "Afrikaans" }, "..." ], "categories": [ { "text": "Chocolate", "links": [ "..." ] }, "..." ], "description": "Food produced from cacao seeds", "numLanguages": 154}Sign up for Apify account01
Creating an account is quick and free — no credit card required. Your account gives you access to more than 5,000 scrapers and APIs.
Install Apify Python client02
Install the Apify Python client using pip: pip install apify-client. This package provides a simple interface to interact with Wikipedia API from your Python applications.
Get your Apify API token03
Go to settings in the Apify console and navigate to the “API & Integrations” tab. There, create a new token and save it for later.
Integrate Wikipedia API04
Navigate to the Wikipedia API page and click on the API dropdown menu in the top right corner. In the dropdown menu, you can see API clients, API endpoints, and more. Use the provided Python code examples to integrate Wikipedia API into your Python application.
Get your Wikipedia data via API05
The Wikipedia API returns structured JSON data that works perfectly with pandas, NumPy, and other Python data analysis libraries.
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Python-ready Wikipedia data extraction
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Yes, Wikipedia provides an official API at https://en.wikipedia.org/api/rest_v1/ for accessing articles and metadata through Python API clients. However, our MediaWiki Scraper offers enhanced functionality by extracting both Wikipedia and Fandom content with additional formatting options and batch processing capabilities that may not be available through the standard Python API client implementations.
Yes, you can try the MediaWiki Scraper Python API client for free on Apify. New users receive free platform credits to test the Actor through the Python API client. After that, it's available for $30.00/month plus usage-based pricing depending on the amount of data extracted and compute resources consumed when using the Python API client.
The Python Wikipedia API client can extract comprehensive data including article titles, full page content, URLs, categories, revision history, last modification dates, infobox data, images, links, references, headers, tables, and lists. It works with both Wikipedia and Fandom wikis to provide structured JSON output.
Yes, it's legal to scrape Wikipedia data using Python API clients. Wikipedia content is available under Creative Commons licenses and encourages reuse. Fandom content follows similar open policies. However, you should always respect the platforms' terms of service, implement reasonable request rates in your Python API client, and properly attribute the content according to the respective licenses.
Getting started with our Wikipedia Python API is easy — simply create a free Apify account, get your API token, and start using the Wikipedia API in Python, JavaScript, CLI, cURL, OpenAPI, or MCP.