Metadata Extractor
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Metadata Extractor
jancurn/extract-metadata
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No credit card required
A small efficient actor that loads a web page, parses its HTML using Cheerio library and extracts the following meta-data from the <HEAD> tag, such as page title, description, author etc.
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 "urls": [
11 "https://www.apify.com/",
12 "https://blog.apify.com"
13 ],
14 "proxy": {
15 "useApifyProxy": true
16 }
17};
18
19(async () => {
20 // Run the Actor and wait for it to finish
21 const run = await client.actor("jancurn/extract-metadata").call(input);
22
23 // Fetch and print Actor results from the run's dataset (if any)
24 console.log('Results from dataset');
25 console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
26 const { items } = await client.dataset(run.defaultDatasetId).listItems();
27 items.forEach((item) => {
28 console.dir(item);
29 });
30})();
31
32// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docsDeveloper
Jan ČurnMaintained by Community
Actor metrics
- 37 monthly users
- 50.6% runs succeeded
- 0.0 days response time
- Created in Feb 2018
- Modified 7 months ago
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