Wikipedia Scraper – Articles, Summaries & Extracts
Pricing
from $0.40 / 1,000 results
$0.5/1K 🔥 Fast Wikipedia scraper! Article title, summary, full text, links, images & categories in any language. JSON, CSV, Excel or API in seconds. Search or list titles & pull thousands of articles for research & AI training ⚡
You can access the Wikipedia Scraper – Articles, Summaries & Extracts 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 "query": "web scraping",10 "titles": ["Python (programming language)"],11 "language": "en",12 "maxItems": 50,13}14
15# Run the Actor and wait for it to finish16run = client.actor("ninhothedev/wikipedia-scraper").call(run_input=run_input)17
18# Fetch and print Actor results from the run's dataset (if there are any)19print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])20for item in client.dataset(run["defaultDatasetId"]).iterate_items():21 print(item)22
23# 📚 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 Scraper – Articles, Summaries & Extracts API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: