On the productivity site, Slack.com, you can use Jsonify to automate certain tasks.

For example, if you want to extract structured data from LinkedIn profiles, Jsonify can automatically extract key information from profile pages, such as the person's name, title, company, skills, education, and contact information. You can then export this data to a spreadsheet, Google Sheets, Airtable, or integrate it into custom workflows using API integration. This makes it easier to analyze and organize professional data without needing to code.

If you're looking for tech and startup jobs in the New York City area, Jsonify can help you extract and monitor new job listings from BuildInNYC.com. It can gather important 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 in different formats, set up a monitor to track new job postings, and stay informed about opportunities with your preferred companies. This is useful for job seekers, career advisors, and HR professionals who want to stay updated on the tech job market in NYC.

Lastly, if you're interested in Chrome Web Store extensions, Jsonify can extract information from extension pages and provide the results in JSON or CSV format. This can be integrated with services like Airtable or Google Sheets, allowing you to collect multiple extensions at once. The extracted information includes the extension's name, source, rating, rating count, category, number of users, and overview.

Overall, Jsonify offers automation solutions for extracting structured data from LinkedIn profiles, monitoring job listings on BuildInNYC.com, and extracting extension info from the Chrome Web Store.