Article Text Extractor
No credit card required
Article Text Extractor
No credit card required
Simply extracts article texts and other meta info from the given URL. Uses https://github.com/ageitgey/node-unfluff which is a NodeJS implementation of https://github.com/grangier/python-goose.
You can access the Article Text Extractor programmatically from your own Python 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 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 = { "url": "https://www.bbc.com/news/world-asia-china-48659073" }
9
10# Run the Actor and wait for it to finish
11run = client.actor("mtrunkat/article-text-extractor").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
15for item in client.dataset(run["defaultDatasetId"]).iterate_items():
16 print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startArticle Text Extractor API in Python
The Apify API client for Python is the official library that allows you to use Article Text Extractor API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Marek Trunkát- 23 monthly users
- 9 stars
- 94.1% runs succeeded
- 7.3 hours response time
- Created in Mar 2018
- Modified 11 months ago
