Metadata Extractor
Pricing
Pay per usage
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.
Pricing
Pay per usage
Rating
0.0
(0)
Developer
Jan Čurn
Maintained by CommunityActor stats
19
Bookmarked
1.4K
Total users
9
Monthly active users
3 years ago
Last modified
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You can access the Metadata Extractor programmatically from your own 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 API & Integrations in Apify Console.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_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 finish17run = 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(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")21for item in client.dataset(run.default_dataset_id).iterate_items():22 print(item)23
24# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe 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: