Extract information from Python.org
This prebuilt workflow allows you to extract structured data from Python.org, a programming website. It automatically extracts key information from the site, making it easier for you to analyze and organize programming data efficiently. The extracted data can be exported to a spreadsheet, saved to Google Sheets or Airtable, or integrated into custom workflows with API integration. This solution simplifies the process of gathering and utilizing programming data, without the need for any coding.
You will need to provide:
- The URL of the Python.org page you want to extract information from.
Jsonify extracts the following information for you:
- Name
- Title
- Company
- Skills
- Education
- Contact
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Extract and monitor new programming jobs in NYC from 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 job opportunities in various roles and companies. However, with so many jobs posted, it can be difficult to keep track and find the right job for you.
Jsonify's prebuilt workflow simplifies this process by automatically extracting job listings from BuildInNYC.com.
You can efficiently extract job listings by conducting a search on the site and providing the workflow with the link. 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.
Once the job listings are extracted, you can export the data in different 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 will need to provide:
- The search URL on BuildInNYC.com to specify the type of jobs you want to extract.
Jsonify extracts the following details for you:
- Job Title
- Company Name
- Location
- Job Type
- Description
- Requirements
- Salary Range
- Benefits
- Company Rating
- Job Application Link
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Extract Extension information from Chrome Web Store
This prebuilt workflow extracts information from Chrome Web Store extension pages and provides the result in JSON or CSV format. You can easily integrate this workflow with services like Airtable or Google Sheets to collect multiple extensions at once.
You will need to provide:
- The URL of the extension on Chrome Web Store that you want to extract information from.
Jsonify extracts the following information for you:
- Name
- Source
- Rating
- Rating Count
- Category
- Number of Users
- Overview