Pricing
Pay per event
Fast, lightweight scraper that extracts structured data (JSON-LD & microdata) from HTML pages. Ideal for e-commerce and sites that embed schema.org markup without heavy client-side rendering.
Pricing
Pay per event
Rating
0.0
(0)
Developer
Datavault
Actor stats
0
Bookmarked
16
Total users
6
Monthly active users
2 months ago
Last modified
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You can access the Structured Data Scraper (Schema.org) 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 Integrations settings 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 = { "url": [{ "url": "https://schema.dev/blog/schema-markup-builder-video-walkthroughs/" }] }9
10# Run the Actor and wait for it to finish11run = client.actor("datavault/schemaorg").call(run_input=run_input)12
13# Fetch and print Actor results from the run's dataset (if there are any)14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])15for item in client.dataset(run["defaultDatasetId"]).iterate_items():16 print(item)17
18# 📚 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 Structured Data Scraper (Schema.org) API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: