Extract structured data from the main page of the Russian Wikipedia.
This prebuilt workflow automatically extracts key information from the main page of the Russian Wikipedia, allowing you to analyze and organize the 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 information from the Russian Wikipedia, without the need for any coding.
You will need to provide the following:
- The URL of the main page of the Russian Wikipedia.
Jsonify extracts the following information for you:
- Name
- Title
- Company
- Skills
- Education
- Contact
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Extract and monitor new jobs posted on BuildInNYC.com in New York City.
BuildInNYC.com is a platform for finding tech and startup jobs in the New York City area, offering a wide range of opportunities across different roles and companies. However, keeping track of the numerous job postings and finding the right job can be challenging.
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 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. Once the job listings are extracted, 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 emerging trends in the tech job market, and stay informed about opportunities with your preferred companies. This intelligence can be 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.
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 the Chrome Web Store.
This prebuilt workflow extracts information from a set of 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 will need to provide:
- The URL of the extension on the Chrome Web Store.
Jsonify extracts the following information for you:
- Name
- Source
- Rating
- Rating Count
- Category
- Number of Users
- Overview