Automated Job Scraper and Data Aggregation Workflow

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This n8n workflow automates the process of gathering and consolidating job listings from LinkedIn and Indeed, using Bright Data for web scraping and Google Sheets for data management. It starts with a user-filled form where the user inputs job search parameters such as city, country, job title, and job type. Upon submission, the workflow triggers web scraping requests to Bright Data’s API for both job platforms.

The workflow incorporates status checks to ensure that scraping completes before proceeding. It waits-and-rechecks every minute if the data isn’t ready, ensuring efficient handling of asynchronous data collection. Once both platforms’ data are available, the workflow fetches the scraped results and merges them.

Finally, the combined job listings are appended to a dedicated Google Sheet for comparison or further analysis. This setup is ideal for recruiters, HR professionals, or job seekers who want to automate the collection of job postings from multiple sources and organize them in a single, manageable location. The workflow enhances efficiency in labor market research, competitive analysis, or job application tracking.

Node Count

>20 Nodes

Nodes Used

code, formTrigger, googleSheets, httpRequest, if, merge, stickyNote, wait

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