Article Text Extractor
Pricing
Pay per usage
Article Text Extractor
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.
5.0 (1)
Pricing
Pay per usage
12
Total users
1k
Monthly users
13
Runs succeeded
>99%
Last modified
2 years ago
You can access the Article Text 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 = { "url": "https://www.bbc.com/news/world-asia-china-48659073" }9
10# Run the Actor and wait for it to finish11run = 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:
