Jsonify: Automate Data Extraction from LinkedIn, BuildInNYC, and Chrome Web Store

To use this automation, you need to provide a list of URLs of profile pages on LinkedIn. Jsonify will then extract the required information for you.

Similarly, if you want to extract and monitor new NYC jobs posted on BuildInNYC.com, Jsonify can help. BuildInNYC.com is a platform for finding tech and startup jobs in the New York City area. Jsonify's prebuilt workflow simplifies the process of extracting job listings from the website. It conducts a search on the site and 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 like a spreadsheet or save it 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 beneficial for job seekers, career advisors, and HR professionals looking to keep track of the tech employment landscape in NYC.

To use this automation, you need to provide a search URL on BuildInNYC.com. Jsonify will then extract the required details for you.

Lastly, if you want to extract extension information from Chrome Web Store, Jsonify can help with that too. This prebuilt 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 easily collect multiple extensions at once.

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