Sticky Note Automate

Target Audience

• Job Seekers: Individuals looking for fresh job opportunities in real-time across various locations and industries.
• Sales Professionals: Those aiming to identify companies that are actively hiring, potentially indicating growth and sales opportunities.
• Recruiters: Professionals seeking to fill positions quickly with filtered job data.
• Data Analysts: Users interested in leveraging job market data for analysis and insights.

Problem Solved

This workflow addresses the challenge of efficiently scraping and organizing job postings from LinkedIn. It automates the process of:

• Gathering Relevant Job Data: Users can specify criteria such as location, keywords, and job types to receive tailored job listings.
• Real-time Updates: It ensures users receive the most recent job postings, enhancing their chances in the job market.
• Data Organization: Job postings are automatically cleaned and organized into Google Sheets, making it easy to track applications and opportunities.

Workflow Steps

1. User Input: The workflow begins when a user submits a form with details such as Job Location, Keyword, and Country.
2. API Call to Bright Data: This triggers an API call to Bright Data to start scraping job postings based on the provided criteria.
3. Polling for Data Availability: The workflow waits and periodically checks the status of the data scraping process to see if the data is ready.
4. Data Retrieval: Once the data is ready, another API call retrieves the job postings from Bright Data.
5. Data Cleanup: The workflow processes the retrieved data to remove HTML tags and flatten nested fields for easier readability.
6. Data Storage: Finally, the cleaned job data is appended to a Google Sheet, allowing users to access and manage their job search efficiently.