Article Text Extractor
- mtrunkat/article-text-extractor
- Modified
- Users 653
- Runs 117.9k
- Created by
Marek Trunkát
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.
To run the code examples, you need to have an Apify account. Replace <YOUR_API_TOKEN> in the code with your API token. For a more detailed explanation, please read about running Actors via the API in Apify Docs.
from apify_client import ApifyClient
# Initialize the ApifyClient with your API token
client = ApifyClient("<YOUR_API_TOKEN>")
# Prepare the Actor input
run_input = { "url": "https://www.bbc.com/news/world-asia-china-48659073" }
# Run the Actor and wait for it to finish
run = client.actor("mtrunkat/article-text-extractor").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
