Automating LinkedIn Profile Data Extraction and Analysis

1. Extract structured data from LinkedIn profiles:

- This automation extracts important information from LinkedIn profiles, such as the person's name, job title, company, skills, education, and contact details.

- The extracted data can be exported to a spreadsheet, saved directly to Google Sheets or Airtable, or integrated into custom workflows using API integration.

- This automation eliminates the need for coding and helps analyze and organize professional data efficiently.

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

- BuildInNYC.com is a platform for finding tech and startup jobs in the New York City area.

- Our automation simplifies the process of finding the right job by automatically extracting job listings from the website.

- It gathers essential data such as job title, company name, location, job type, description, requirements, salary range, benefits, company rating, and job application link.

- You can export the extracted data in various formats, such as a spreadsheet, Google Sheets, or Airtable.

- Additionally, you can set up a monitor to track new job postings, identify emerging trends in the tech job market, and stay informed about opportunities with your preferred companies.

3. Extract Extension info from Chrome Web Store:

- This automation extracts information from Chrome Web Store extension pages.

- The extracted data can be outputted as JSON or CSV format.

- You can integrate this automation with services like Airtable or Google Sheets to easily 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.