Parsera

# Parsera Actor - Extract structured data from any website using Parsera's AI-powered data extraction API. - PS: Check out our AI Scraping Agents at Parsera.org! They extract data from URLs and HTML by generating scraping scripts and automatically adapting to changes on the data source side. ## Example Input url you want to scrape in Basic Configuration > Target URL, and list columns to extract in Extraction Settings > Extraction Attributes. For example, you can extract list of articles from https://news.ycombinator.com/ by putting this value into Target URL and filling Extraction Attributes with: json [ { "description": "News title", "name": "title" }, { "description": "Number of points", "name": "points" }, { "description": "Number of comments", "name": "nr_comments" } ] At end you'll get a table that looks like this: | nr_comments | points | title | |-------|------|----------| | 11 | 41 | The Inevitability of the Borrow Checker | | 1 | 19 | When Louis Armstrong Conquered Chicago | | 448 | 689 | Meta torrented & seeded 81.7 TB dataset containing copyrighted data | | ... | ... | ... | ## 📝 Input Configuration The actor accepts the following input parameters: | Field | Type | Required | Description | |-------|------|----------|-------------| | url | String | Yes | The target URL to extract data from | | attributes | Array | Yes | List of data attributes to extract | | proxyCountry | String | No | Country for proxy IP (defaults to United States) | | cookies | Array | No | Cookies to inject into the request | | precisionMode | Boolean | No | Enable high-precision extraction mode | ### Attributes Structure Each attribute in the attributes array should have: - name: Identifier for the extracted data - description: Natural language description of what to extract ## 💡 Tips - Use precise, detailed descriptions in your attributes for better extraction accuracy - Enable precisionMode for highest accuracy (uses more credits) - Test your extraction pattern on a few pages before running large-scale scrapes - The speed of the response depends mainly on the LLM output so if you're collecting a lot of data, the response time will increase. We're working on a code generation sytem to provide back data instantly, so stay tuned and sign up for news at https://parsera.org! ## 📊 Usage Limits - Each successful extraction consumes 1 Parsera credit (10 credits with precisionMode) - Check your credit balance at parsera.org/dashboard - Need more credits? Visit parsera.org/pricing ## 🤝 Support - Documentation: docs.parsera.org - Email: contact@parsera.org - Discord: Join our community