Automated LinkedIn Job Scraper with Bright Data & Google Sheets

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This workflow automates the process of collecting LinkedIn job postings based on user-defined search criteria through a form submission. When a user submits a form specifying location, job title, country, and job type, the system triggers a series of steps that interact with Bright Data’s dataset API to scrape LinkedIn job data. The process begins with sending search parameters to Bright Data, which then generates a snapshot ID representing the dataset. After a brief delay to ensure the data is ready, the workflow checks the status of the scraping job. Once complete, it retrieves the dataset, extracts relevant job information, filters it based on keywords, and finally appends the data into a specified Google Sheet for easy review and management.

This workflow is ideal for recruiters, HR professionals, or job board managers who want to automate and streamline the process of sourcing LinkedIn job postings relevant to their recruiting or research needs.

Node Count

11 – 20 Nodes

Nodes Used

filter, formTrigger, googleSheets, httpRequest, if, stickyNote, wait

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