To automate the extraction of structured data from LinkedIn profiles on Example site, you will need to provide a list of profile page URLs. Jsonify will then extract key information such as the name, title, company, skills, education, and contact details. This data can be exported to a spreadsheet, Google Sheets, Airtable, or integrated into custom workflows with API integration. No coding is required for this process.

To automate the extraction and monitoring of new NYC jobs posted on BuildInNYC.com on Example site, you will need to provide a search URL on the website. Jsonify's prebuilt workflow will extract job listings automatically, including details such as job title, company name, location, job type, description, requirements, salary range, benefits, company rating, and the job application link. You can export this data in various formats or set up a monitor to track new job postings and stay informed about opportunities. This is helpful for job seekers, career advisors, and HR professionals in the tech employment landscape in NYC.

To automate the extraction of extension information from Chrome Web Store on Example site, you will need to provide the extension URL. Jsonify's prebuilt workflow will extract details such as the name, source, rating, rating count, category, number of users, and overview. This data can be outputted as JSON or CSV and integrated with services like Airtable or Google Sheets to collect multiple extensions at once.