LinkedIn Job Scraper

The LinkedIn Job Scraper automation allows you to extract comprehensive details from LinkedIn job postings, including job title, company, location, description, and posting date. This tool is ideal for recruiters, job seekers, and market researchers who want to analyze job opportunities or gather hiring insights. Follow this guide to configure the automation, with options to export data to Google Sheets or CSV for organized tracking.

Step 1: Log in to the TexAu App and Locate the Automation

Log in to your TexAu account at v2-prod.texau.com. In the Automation Store, use the search bar to locate LinkedIn Job Scraper quickly.

Screenshot Suggestion: Show the Automation Store screen with "LinkedIn Job Scraper" entered in the search bar.

Step 2: Connect to LinkedIn with TexAu

To enable TexAu to access LinkedIn job details on your behalf, connect your LinkedIn account. Click Add Account and select LinkedIn. TexAu provides two secure connection methods:

• Magic Link: Sends a secure link to your email for login without needing to manage cookies.
• Add Account: Connects directly via TexAu’s built-in browser extension, making setup quick and easy.

Tip: Magic Link is a secure, fast option that allows you to connect LinkedIn without manually managing cookies.

Screenshot Suggestion: Show the LinkedIn connection options, highlighting both Magic Link and Add Account choices.

Step 3: Select Your Input Source

Once LinkedIn is connected, define the input source to specify which job listings you want to scrape. You can enter a single LinkedIn job URL or upload a list of job URLs via Google Sheets or CSV.

1. Single Job URL: For a one-time extraction, enter the LinkedIn Job URL of the specific job listing. This is ideal for capturing details of a particular position.
2. Google Sheet or CSV for Multiple Job URLs: For gathering details from multiple listings, use a Google Sheet or CSV file. List each LinkedIn Job URL in a separate row, then paste the Google Sheet URL or upload the CSV file in TexAu. This setup allows you to extract data from numerous job postings in one run, saving time.
3. Filtering Options: Apply filters such as industry, location, or company to focus on the most relevant job listings for your goals.

Screenshot Suggestion: Show the input source options screen with LinkedIn Job URL, Google Sheet, and CSV options highlighted.

Step 4: Schedule the Automation (Optional)

To update job data at regular intervals, configure the Schedule settings. Click Schedule to set the start date and time, or configure a Recurrence Frequency to repeat the automation:

• At Regular Intervals (e.g., every day or every week)
• Once
• Every Day
• On Specific Days of the Week (e.g., every Monday and Wednesday)
• On Specific Days of the Month (e.g., the 1st and 15th)
• On Specific Dates (e.g., March 1)

Scheduling helps you keep job data current, ensuring you don’t miss new opportunities or trends.

Screenshot Suggestion: Show the scheduling interface with options for selecting start time and recurrence frequency.

Step 5: Set an Iteration Delay (Optional)

To avoid LinkedIn’s rate limits, set an Iteration Delay to control the interval between each job listing extraction. Configure Minimum Delay and Maximum Delay values to introduce variability, simulating natural browsing. Adjust the delay in seconds, minutes, or hours, based on your preferences.

Screenshot Suggestion: Include a screenshot of the Iteration Delay settings, showing Minimum Delay, Maximum Delay, and time units.

Step 6: Choose Your Output Mode (Optional)

In Output Mode, select how you want to save and organize the job data. Export data to Google Sheets or CSV file for convenient analysis and sharing.

1. Export Options: Choose Google Sheets or CSV file as your output format. Link your Google account if you select Google Sheets, allowing for direct export to Google Drive.
2. Output Management:
   • Append (Default): Adds each job scrape to the end of the existing file, creating a comprehensive list of job postings.
   • Split: Each automation run generates a new file, ideal for keeping data organized by session.
   • Overwrite: Replaces previous data with the latest extraction, useful if you’re only tracking recent listings.
3. Duplicate Management: Enable Deduplicate to automatically remove duplicate entries, ensuring clean and organized data.

Tip: Google Sheets export is ideal for tracking job data in real-time and sharing with team members.

Screenshot Suggestion: Show the output mode options screen with Google Sheets, CSV, and Deduplicate options highlighted.

Step 7: Run the Automation on Cloud or Desktop

Once configurations are complete, click Run to start the automation. Choose between Cloud or Desktop mode:

• Cloud: Runs the automation on TexAu’s servers, ideal for hands-free operation.
• Desktop: Run locally on your device if you prefer using your IP address, which can help simulate manual browsing.

Tip: Running automations on Desktop mode saves cloud runtime costs and provides more control over task execution.

Screenshot Suggestion: Show the Run button with Cloud and Desktop options visible.

Step 8: Access the Data from the Data Store

After the automation completes, go to the Data Store section in TexAu to access the extracted job data. Locate the LinkedIn Job Scraper automation and click See Data to view or download the results.

Screenshot Suggestion: Display the Data Store screen with the “See Data” button highlighted.

The LinkedIn Job Scraper automation simplifies tracking job details from LinkedIn listings, providing valuable insights for recruiters, job seekers, and researchers. With scheduling, flexible input options, and export to Google Sheets or CSV, this tool organizes job data for timely follow-ups, trend analysis, and efficient tracking of hiring opportunities.