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Metadata Extractor
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Metadata Extractor

Metadata Extractor

jancurn/extract-metadata
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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 mode

Node.js

Python

curl

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4client = ApifyClient("<YOUR_API_TOKEN>")
5
6# Prepare the Actor input
7run_input = {
8    "urls": [
9        "https://www.apify.com/",
10        "https://blog.apify.com",
11    ],
12    "proxy": { "useApifyProxy": True },
13}
14
15# Run the Actor and wait for it to finish
16run = client.actor("jancurn/extract-metadata").call(run_input=run_input)
17
18# Fetch and print Actor results from the run's dataset (if there are any)
19for item in client.dataset(run["defaultDatasetId"]).iterate_items():
20    print(item)
Developer
Maintained by Community
Actor metrics
  • 35 monthly users
  • 75.0% runs succeeded
  • 0.0 days response time
  • Created in Feb 2018
  • Modified 6 months ago
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