Metadata Extractor
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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.
You can access the Metadata Extractor programmatically from your own Python 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 ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9 "urls": [
10 "https://www.apify.com/",
11 "https://blog.apify.com",
12 ],
13 "proxy": { "useApifyProxy": True },
14}
15
16# Run the Actor and wait for it to finish
17run = client.actor("jancurn/extract-metadata").call(run_input=run_input)
18
19# Fetch and print Actor results from the run's dataset (if there are any)
20print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
21for item in client.dataset(run["defaultDatasetId"]).iterate_items():
22 print(item)
23
24# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startMetadata Extractor API in Python
The Apify API client for Python is the official library that allows you to use Metadata Extractor API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Developer
Jan ČurnMaintained by Community
Actor metrics
- 29 monthly users
- 9 stars
- 99.8% runs succeeded
- Created in Feb 2018
- Modified about 1 year ago
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