Automate the extraction of structured data from LinkedIn profiles. This workflow will automatically extract key information from LinkedIn profile pages, allowing you to analyze and organize professional data efficiently. The extracted data can be exported to a spreadsheet, Google Sheets, Airtable, or integrated into custom workflows with API integration. No coding is required.

To use this automation, provide a list of LinkedIn profile URLs. Jsonify will extract the following information for you: name, title, company, skills, education, and contact details.


Automate the extraction and monitoring of new NYC jobs posted on is a platform for finding tech and startup jobs in New York City. With so many jobs posted, 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 Simply provide a search URL on the site, and the AI will gather 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 or directly to 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 automation is valuable for job seekers, career advisors, and HR professionals looking to stay updated on the tech employment landscape in NYC.


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 easily integrate this workflow with services like Airtable or Google Sheets to collect multiple extensions at once.

To use this automation, provide the URL of the extension on Chrome Web Store. Jsonify will extract the following information for you: name, source, rating, rating count, category, number of users, and overview.