Is it possible for the JD parser to extract text content from a web link?

Yes, the RChilli JD (Job Description) Parser can extract text content from a web link—provided that the link points to a publicly accessible document file, such as a DOCX, PDF, or TXT file.

Supported Use Case: Parsing from a Public URL

RChilli Resume and JD Parser APIs support parsing documents through a public URL. Here's how it works:

• API Endpoint Used: /parseResume or /parseJD depending on the document type.

• Required Input:

  • A publicly accessible URL (e.g., https://rchilli.testurl.com/SampleJD.docx)

  • User key, version, and sub-user ID (from your RChilli API account)

• Output: Structured JSON data containing parsed information.

Sample API Request (for JD Parser via Public URL):

{
"url": "https://rchilli.testurl.com/SampleJD.docx",
"userkey": "your_user_key",
"version": "8.0.0",
"subuserid": "your_subuser_id"
}

This format is also used by the Resume Parser in a nearly identical way.

Note: The link must point directly to a document file and not to a web page (e.g., HTML pages or blog posts are not supported).

Not Supported: Parsing From General Web Pages

If the link is a generic web page (e.g., a LinkedIn job post or company career page), the JD parser will not be able to extract text content directly. You must first convert that content into a supported document format like DOCX, PDF, or TXT.

Summar

If you still have a question, you can always contact RChilli Support via creating a ticket by sending an email at support@rchilli.com.