This n8n workflow automates the process of scraping live job postings from LinkedIn via Bright Data, cleaning the data, and storing it in Google Sheets for easy access and analysis. It serves both job seekers looking for recent roles and sales professionals targeting companies with open positions.
The workflow begins with a Google Form where users input search criteria such as location, keywords, country, and additional filters like job type or remote options. Upon submission, an HTTP POST request triggers Bright Data to start a data collection process based on the specified filters. The workflow then polls Bright Data to check when the data is ready, ensuring it captures the latest job postings.
Once the dataset is available, an HTTP request retrieves the raw data, which is then processed by a code node to clean and flatten nested fields, removing HTML from descriptions for readability and extracting important details such as salary range, poster information, and job links.
Finally, the cleaned data is appended as new rows into a prelinked Google Sheet template. This automation streamlines the process of gathering, cleaning, and analyzing job postings, making it highly useful for active job hunting or prospecting activities, providing timely insights into hiring signals across various industries.
Reviews
There are no reviews yet.