To automate the process of extracting structured data from LinkedIn profiles, you can use Jsonify. It automatically extracts key information from LinkedIn profile pages, such as the person's name, title, company, skills, education, and contact information. You can export this data to a spreadsheet, Google Sheets, Airtable, or integrate it into custom workflows using API integration. This eliminates the need for coding and allows you to analyze and organize professional data efficiently.

To extract and monitor new jobs posted on BuildInNYC.com, Jsonify provides a prebuilt workflow. BuildInNYC.com is a platform for finding tech and startup jobs in New York City. With so many job postings, it can be challenging to keep track and find the right job. Jsonify simplifies this process by automatically extracting job listings.

You can efficiently extract job listings by conducting a search on BuildInNYC.com and providing the search URL to the workflow. 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 trends in the tech job market, and stay informed about opportunities with your preferred companies. This is valuable for job seekers, career advisors, and HR professionals looking to stay updated on the tech employment landscape in NYC.

To extract extension information from the Chrome Web Store, Jsonify offers a prebuilt workflow. 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, you need to provide the extension URL on the Chrome Web Store. Jsonify extracts details such as the extension's name, source, rating, rating count, category, number of users, and overview. This makes it easy to collect and analyze information about Chrome extensions.