Structured Data Scraper (Schema.org)
by datavault
Fast, lightweight scraper that extracts structured data (JSON-LD & microdata) from HTML pages. Ideal for e-commerce and sites that embed schema.org ma...
Opens on Apify.com
About Structured Data Scraper (Schema.org)
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.
What does this actor do?
Structured Data Scraper (Schema.org) is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.
Key Features
- Cloud-based execution - no local setup required
- Scalable infrastructure for large-scale operations
- API access for integration with your applications
- Built-in proxy rotation and anti-blocking measures
- Scheduled runs and webhooks for automation
How to Use
- Click "Try This Actor" to open it on Apify
- Create a free Apify account if you don't have one
- Configure the input parameters as needed
- Run the actor and download your results
Documentation
Structured Data Scraper (Schema.org) Fast scraper optimized for sites that follows schema.org structured data without heavy client-side rendering. It is great for e-commerce sites. Speed first. Lightweight because it parses static HTML instead of launching a browser. Pages that require client-side rendering may need a headless browser (for example Playwright or Puppeteer). ## What you get - Schema.org payloads collected from JSON-LD <script> tags and microdata attributes. - Final URL, status code, and page title for quick validation. - Dataset output suitable for feeding into validation tools or downstream pipelines. ## Input Provide at least one URL via url (string, array, or Apify request object) or urls (array). Optional settings: - maxRequestsPerCrawl – stop the crawl after N requests (defaults to the number of provided URLs). - proxyConfiguration – standard Apify proxy configuration block. ## Output Each dataset item contains: - inputUrl, loadedUrl, statusCode, title, retrievedAt - schema.jsonLd – parsed JSON-LD blocks - schema.microdata – microdata trees normalised into nested objects ### Sample INPUT.json json { "url": [ { "url": "https://schema.dev/blog/schema-markup-builder-video-walkthroughs/" }, { "url": "https://schema.dev/blog/schema-seo-boost-your-websites-visibility-with-structured-data/" }, { "url": "https://schema.dev/blog/schema-tests-unleashing-the-full-potential-of-your-seo-strategy/" }, { "url": "https://schema.dev/blog/understanding-product-schema-a-key-to-better-product-visibility-online/" }, { "url": "https://schema.dev/blog/5-types-of-schema-markup-every-legal-service-should-use-for-seo/" } ] }
Categories
Common Use Cases
Market Research
Gather competitive intelligence and market data
Lead Generation
Extract contact information for sales outreach
Price Monitoring
Track competitor pricing and product changes
Content Aggregation
Collect and organize content from multiple sources
Ready to Get Started?
Try Structured Data Scraper (Schema.org) now on Apify. Free tier available with no credit card required.
Start Free TrialActor Information
- Developer
- datavault
- Pricing
- Paid
- Total Runs
- 171
- Active Users
- 25
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