Automation instructions for extracting structured data from LinkedIn profiles, monitoring new NYC jobs on BuildInNYC.com, and extracting extension info from the Chrome Web Store.

For LinkedIn profiles, our prebuilt workflow automatically extracts key information from profile pages, such as the person's name, title, company, skills, education, and contact details. You can export this data to a spreadsheet, Google Sheets, Airtable, or integrate it into custom workflows using API integration. This eliminates the need for coding and helps you analyze and organize professional data efficiently.

For BuildInNYC.com, our prebuilt workflow simplifies the process of finding tech and startup jobs in the New York City area. It automatically extracts job listings from the website, including details like job title, company name, location, job type, description, requirements, salary range, benefits, company rating, and the job application link. You can export this 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 keep up with the tech employment landscape in NYC.

For the Chrome Web Store, our prebuilt workflow extracts information from extension pages and outputs it as JSON or CSV data. You can provide the URL of the extension on the Chrome Web Store, and we will extract details like the extension's name, source, rating, rating count, category, number of users, and overview. This data can be easily collected for multiple extensions and integrated with services like Airtable or Google Sheets.

Overall, our automation instructions for Visual Studio Code's product site help you extract and analyze data from LinkedIn profiles, job listings on BuildInNYC.com, and extension pages on the Chrome Web Store, making your tasks more efficient and streamlined.