
Parsera
This Actor is paid per event

Parsera
This Actor is paid per event
Extract Data from ANY website with Parsera.org
Actor Metrics
4 Monthly users
No reviews yet
4 bookmarks
>99% runs succeeded
56 days response time
Created in Nov 2024
Modified 15 days ago
Parsera Actor
Extract structured data from any website using Parsera's AI-powered data extraction API.
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:
1[ 2 { 3 "description": "News title", 4 "name": "title" 5 }, 6 { 7 "description": "Number of points", 8 "name": "points" 9 }, 10 { 11 "description": "Number of comments", 12 "name": "nr_comments" 13 } 14]
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 datadescription
: 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