Automate extracting structured data from LinkedIn profiles. This workflow will extract key information from LinkedIn profiles, such as name, title, company, skills, education, and contact details. The extracted data can be exported to a spreadsheet, Google Sheets, Airtable, or integrated into custom workflows using API integration. No coding is required.

To use this workflow, provide a list of LinkedIn profile URLs. Jsonify will automatically extract the desired information for you.

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Automate extracting and monitoring new NYC jobs posted on BuildInNYC.com. BuildInNYC.com is a platform for finding tech and startup jobs in New York City. With so many job postings, it can be difficult to keep track and find the right job for you.

Jsonify's prebuilt workflow simplifies this process by automatically extracting job listings from BuildInNYC.com. The AI gathers important data such as job title, company name, location, job type, description, requirements, salary range, benefits, company rating, and job application link.

After extracting the job listings, you can export the data to a spreadsheet, Google Sheets, Airtable, or set up a monitor to track new job postings and stay informed about opportunities with your preferred companies. This is valuable for job seekers, career advisors, and HR professionals looking to stay updated on the tech job market in NYC.

To use this workflow, provide a search URL on BuildInNYC.com. Jsonify will automatically extract the desired job details for you.

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Automate extracting extension information from Chrome Web Store. This workflow extracts information from 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 easily collect multiple extensions at once.

To use this workflow, provide the extension URL on Chrome Web Store. Jsonify will automatically extract details such as name, source, rating, rating count, category, number of users, and overview.