Automating extraction of structured data from LinkedIn profiles and NYC job postings

To automate the extraction and monitoring of new NYC jobs posted on BuildInNYC.com, you will need to provide a search URL on the site. Jsonify's prebuilt workflow will conduct the search and extract job listings automatically. The extracted data includes job title, company name, location, job type, description, requirements, salary range, benefits, company rating, and the job application link. You can export the data in various formats, save it to Google Sheets or Airtable, or set up a monitor to track new job postings and identify trends in the tech job market. This automation is valuable for job seekers, career advisors, and HR professionals in NYC.

To automate the extraction of extension information from the Chrome Web Store, you will need to provide the extension URL. Jsonify's prebuilt workflow will extract information from the extension page and output it as JSON or CSV data. You can integrate this workflow with services like Airtable or Google Sheets to collect multiple extensions at once. The extracted information includes the name, source, rating, rating count, category, number of users, and overview of the extension.