Article Text Extractor
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Article Text Extractor
mtrunkat/article-text-extractor
Try for free
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.
The code examples below show how to run the Actor and get its results. To run the code, you need to have an Apify account. Replace <YOUR_API_TOKEN> in the code with your API token, which you can find under Settings > Integrations in Apify Console. Learn more
Node.js
Python
curl
1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4const client = new ApifyClient({
5 token: '<YOUR_API_TOKEN>',
6});
7
8// Prepare Actor input
9const input = {
10 "url": "https://www.bbc.com/news/world-asia-china-48659073"
11};
12
13(async () => {
14 // Run the Actor and wait for it to finish
15 const run = await client.actor("mtrunkat/article-text-extractor").call(input);
16
17 // Fetch and print Actor results from the run's dataset (if any)
18 console.log('Results from dataset');
19 console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
20 const { items } = await client.dataset(run.defaultDatasetId).listItems();
21 items.forEach((item) => {
22 console.dir(item);
23 });
24})();
25
26// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docsDeveloper
Marek TrunkátMaintained by Community
Actor metrics
- 23 monthly users
- 98.2% runs succeeded
- 0.0 days response time
- Created in Mar 2018
- Modified 7 months ago
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