Extract structured data from the Data site, https://data.worldbank.org/.

This prebuilt workflow automatically extracts key information from the Data site, allowing you to analyze and organize data efficiently. The extracted data can be exported to a spreadsheet, saved directly to Google Sheets or Airtable, or integrated into custom workflows with API integration. This solution simplifies the process of gathering and utilizing data, without the need for coding.

You need to provide the following:

- URLs of pages on the Data site that you want to extract data from.

Jsonify extracts these for you:

- Name

- Title

- Company

- Skills

- Education

- Contact


Extract and monitor new job postings on BuildInNYC.com.

BuildInNYC.com is a platform for finding tech and startup jobs in the New York City area. It offers a wide range of opportunities across different roles and companies. However, keeping track of all the job postings can be challenging.

Jsonify's prebuilt workflow simplifies this process by automatically extracting job listings.

You can efficiently extract job listings from BuildInNYC.com by conducting a search on the site and providing the link to the workflow. The AI gathers important 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 in various formats, such as a spreadsheet, or save it directly to 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 information is valuable for job seekers, career advisors, and HR professionals who want to stay updated on the tech employment landscape in NYC.

You need to provide:

- A search URL on BuildInNYC.com to specify the job listings you want to extract.

Jsonify extracts these details for you:

- Job Title

- Company Name

- Location

- Job Type

- Description

- Requirements

- Salary Range

- Benefits

- Company Rating

- Job Application Link


Extract Extension info from Chrome Web Store.

This prebuilt workflow extracts information from Chrome Web Store extension pages and provides 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.

You need to provide:

- The URL of the extension on Chrome Web Store.

Jsonify extracts these details for you:

- Name

- Source

- Rating

- Rating Count

- Category

- Number of Users

- Overview