Wikipedia Article Extractor
Pricing
Pay per usage
Extract Wikipedia articles via MediaWiki API. Get full text, summaries, sections, categories, images, links. Multi-language. Perfect for AI/ML training data and RAG.
Pricing
Pay per usage
Rating
0.0
(0)
Developer
Glass Ventures
Actor stats
0
Bookmarked
2
Total users
1
Monthly active users
a day ago
Last modified
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You can access the Wikipedia Article Extractor 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 Integrations settings in Apify Console.
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 = {9 "startUrls": [10 { "url": "https://en.wikipedia.org/wiki/Web_scraping" },11 { "url": "https://en.wikipedia.org/wiki/Artificial_intelligence" },12 ],13 "articleTitles": [14 "Web scraping",15 "Artificial intelligence",16 ],17}18
19# Run the Actor and wait for it to finish20run = client.actor("glassventures/wikipedia-article-extractor").call(run_input=run_input)21
22# Fetch and print Actor results from the run's dataset (if there are any)23print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])24for item in client.dataset(run["defaultDatasetId"]).iterate_items():25 print(item)26
27# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use Wikipedia Article Extractor API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: