Automating Data Extraction from LinkedIn Profiles and Chrome Web Store Extensions using Jsonify

To use Jsonify for LinkedIn profile extraction, you need to provide a list of URLs of profile pages on LinkedIn. Jsonify will then extract the specified information from these profiles 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 New York City. Jsonify's prebuilt workflow simplifies the process by automatically extracting job listings from the website.

To extract job listings from BuildInNYC.com, you need to provide a search URL on the website. Jsonify's AI will conduct the search and gather critical data such as job title, company name, location, job type, description, requirements, salary range, benefits, company rating, and the job application link. Once the job listings are extracted, 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 can be valuable for job seekers, career advisors, and HR professionals in NYC.

For extracting extension info from the Chrome Web Store, Jsonify offers a prebuilt workflow. This workflow extracts information from a set of 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 Jsonify for Chrome Web Store extension extraction, you need to provide the extension URL on the Chrome Web Store. Jsonify will then extract details such as the extension's name, source, rating, rating count, category, number of users, and overview.