Automating Data Extraction from LinkedIn, BuildInNYC, and Chrome Web Store

1. Extract structured data from LinkedIn profiles:

- Jsonify can automatically extract key information from LinkedIn profile pages, such as the person's name, title, company, skills, education, and contact details. This data can be exported to a spreadsheet, saved to Google Sheets or Airtable, or integrated into custom workflows using API integration. You don't need any coding skills to use this solution.

2. Extract and monitor new NYC jobs posted on BuildInNYC.com:

- BuildInNYC.com is a platform for finding tech and startup jobs in New York City. Jsonify's prebuilt workflow can extract job listings from the website, including details like job title, company name, location, job type, description, requirements, salary range, benefits, company rating, and the job application link. You can export this data to 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.

3. Extract Extension info from Chrome Web Store:

- Jsonify's prebuilt workflow can extract information from Chrome Web Store extension pages. You can provide the URL of an extension on the Chrome Web Store, and Jsonify will extract details like the extension's name, source, rating, rating count, category, number of users, and overview. You can integrate this workflow with services like Airtable or Google Sheets to collect multiple extensions at once. The result can be outputted as JSON or CSV data.