Article Text Extractor: Clean Text & Markdown from Any URL
Pricing
from $0.85 / 1,000 article extracteds
Extract the clean main text of any article or blog post as plain text and Markdown, with title, author, publish date, site, language, lead image, tags and word count. Ads, menus and footers removed. Paste URLs or discover articles from a homepage, RSS feed or sitemap. $1 per 1,000 articles.
You can access the Article Text Extractor: Clean Text & Markdown from Any URL 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.
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 "articleUrls": ["https://en.wikipedia.org/wiki/Web_scraping"],10 "discoverFrom": ["https://techcrunch.com/feed/"],11}12
13# Run the Actor and wait for it to finish14run = client.actor("larkmoor/article-text-extractor").call(run_input=run_input)15
16# Fetch and print Actor results from the run's dataset (if there are any)17print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")18for item in client.dataset(run.default_dataset_id).iterate_items():19 print(item)20
21# 📚 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 Article Text Extractor: Clean Text & Markdown from Any URL API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: