Extract Extension info from Chrome Web Store: Jsonify's prebuilt workflow allows you to extract information from Chrome Web Store extension pages.

Jsonify's prebuilt workflow automates the process of extracting key information from LinkedIn profiles. This allows you to efficiently analyze and organize professional data without any coding. The extracted data includes the person's name, title, company, skills, education, and contact information. You can export this data to a spreadsheet, Google Sheets, Airtable, or integrate it into custom workflows with API integration.

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

Jsonify's prebuilt workflow simplifies the process of finding tech and startup jobs in the New York City area on BuildInNYC.com. It automatically extracts job listings and gathers important 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 useful for job seekers, career advisors, and HR professionals looking to keep up with the tech job market in NYC.

Extract Extension info from Chrome Web Store:

Jsonify's prebuilt workflow allows you to extract information from Chrome Web Store extension pages. You can provide the extension URL and the workflow will output the data as JSON or CSV. This makes it easy to collect information from multiple extensions at once. The extracted information includes 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 for easy data collection.