Automate the process of extracting structured data from LinkedIn profiles. This workflow will extract key information such as name, title, company, skills, education, and contact details from LinkedIn profile pages. The extracted data can be exported to a spreadsheet, Google Sheets, Airtable, or integrated into custom workflows using API integration. No coding is required for this solution.

To use this workflow, provide a list of URLs of profile pages on LinkedIn. Jsonify will handle the extraction process for you.


Automate the extraction and monitoring of new jobs posted on is a platform for finding tech and startup jobs in the New York City area. However, with numerous job postings, it can be challenging to keep track and find the right job for you.

Jsonify's prebuilt workflow simplifies this process by automatically extracting job listings from The AI gathers critical data such as job title, company name, location, job type, description, requirements, salary range, benefits, company rating, and the job application link.

After extracting the job listings, you can export the data in various formats, such as a spreadsheet, Google Sheets, or Airtable. You can also set up a monitor to track new job postings, identify emerging trends in the tech job market, and stay informed about opportunities with your preferred companies. This workflow is beneficial for job seekers, career advisors, and HR professionals looking to stay updated on the tech employment landscape in NYC.

To use this workflow, provide a search URL on Jsonify will handle the extraction process for you.


Automate the extraction of extension information from Chrome Web Store. This workflow extracts information from Chrome Web Store extension pages and outputs the result as JSON or CSV data. You can integrate this workflow with services like Airtable or Google Sheets to collect multiple extensions at once.

To use this workflow, provide the URL of the extension on Chrome Web Store. Jsonify will extract details such as name, source, rating, rating count, category, number of users, and overview.