Automating Data Extraction from LinkedIn Profiles and Chrome Web Store

To automate the extraction and monitoring of new NYC jobs posted on BuildInNYC.com, Jsonify offers a prebuilt workflow. BuildInNYC.com is a platform for finding tech and startup jobs in the New York City area. With so many jobs posted, it can be challenging to keep track and find the right job. Jsonify's workflow simplifies this process by automatically extracting job listings from the website.

To use this workflow, you need to provide a search URL on BuildInNYC.com. The AI will conduct the search and gather critical data such as job title, company name, location, job type, description, requirements, salary range, benefits, company rating, and the job application link. After extracting the job listings, you can export the 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. This automation is valuable for job seekers, career advisors, and HR professionals looking to stay updated on the tech employment landscape in NYC.

To automate the extraction of extension information from Chrome Web Store, Jsonify provides a prebuilt workflow. 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 collect multiple extensions at once.

To use this workflow, you need to provide the URL of the extension on Chrome Web Store. Jsonify will extract information such as the extension's name, source, rating, rating count, category, number of users, and overview. This automation makes it easy to collect extension information and integrate it with other services for further analysis and organization.