linkedin
linkedin

LinkedIn Job Scraper

The LinkedIn Job Scraper by TexAu automates the extraction of job listing data from LinkedIn. Easily gather job details, company information, and posting dates, then export the data to your CRM or Google Sheets for streamlined job tracking and recruitment.

LinkedIn Job Scraper

    Tutorial

    Overview

    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 TexAu and Connect LinkedIn

    • Log in to your TexAu account at v2-prod.texau.com.
    • Go to Accounts and connect your LinkedIn account. You can choose one of these methods:
      • Share via Magic Link: Share the link, copy it to your browser, and follow the steps to integrate your LinkedIn account securely.
      • Add Account: Sync cookies and browser data with TexAu for seamless integration.

    Tip: Use Magic Link for an easy and secure connection.

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    Step 2: Choose Cloud or Desktop Execution

    • Decide how you want to run the automation:
      • Cloud Mode: Automates tasks on TexAu’s servers with built-in proxies. You can add custom proxies via Settings > Preferences > Proxies.
      • Desktop Mode: Runs automation on your local device using your IP address.

    Tip: Desktop mode saves cloud runtime credits and gives more control over the process.

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    Step 3: Search for the Particular LinkedIn Automation

    • Navigate to the Automation Store on TexAu.
    • Use the search bar to find LinkedIn Job Scraper automation.

    Step 4: Select Your Input Source

    Define the input source to specify LinkedIn job URLs for the LinkedIn Job Scraper automation. TexAu provides multiple options to suit the needs of founders, companies, sales managers, marketers, and growth hackers. Here's how to configure each:

    Manually Enter a Single Input

    Use this option to scrape job details from a specific LinkedIn job post. Follow these steps:

    • Job URL: Enter the LinkedIn job URL directly into the input field.
    • Click Run in the lower-right corner to start the automation.

    Use Google Sheets for Bulk Input


    This option is ideal for scraping data from multiple LinkedIn job posts efficiently. Follow these steps:

    • Click Select Google Account to choose your Google account or click Add New Google Sheet Account to connect additional accounts.
    • Click Accounts to select LinkedIn as the platform.
    • Click Open Google Drive to locate the Google Sheet containing LinkedIn job URLs.
    • Select the spreadsheet and the specific sheet containing LinkedIn job URLs.
    • Job URL: Choose the column header containing LinkedIn job URLs.

    Configure additional options:

    • Number of Rows to Process (Optional): Define the number of rows you want to process from the sheet.
    • Number of Rows to Skip (Optional): Specify rows to skip at the beginning of the sheet.
    • Loop Mode (Optional): Enable this to re-process the Google Sheet from the beginning once all rows are completed. This is useful for tasks that require recurring updates.

    Click Run in the lower-right corner to start the automation.

    Optional Advanced Feature:

    • Loop Mode: Enable Loop Mode to re-process the Google Sheet from the beginning once all rows are completed. This is useful for tasks that require recurring updates.

    • Watch Row (Optional)

      Watch Row feature detects new rows in Google Sheets and triggers workflows automatically, reducing manual workload.

      Configure Watch Row by selecting an execution interval and setting an end date.

      Watch Row Schedule

      • None
      • Scheduling Intervals (e.g., every 15 minutes, every hour)
      • One-Time Execution
      • Daily Execution
      • Weekly Recurrence (e.g., every Monday and Saturday)
      • Monthly Specific Dates (e.g., 13th and 28th)
      • Custom Fixed Dates (e.g., August 4)

      By default, Watch Row runs every 15 minutes and continues for five days unless modified.

      With Watch Row, TexAu ensures workflows stay dynamic and automated.

    Process a CSV File


    This option allows you to process LinkedIn job URLs from a static file. Follow these steps:

    • Click Upload CSV File to browse and locate the file containing LinkedIn job URLs.
    • Once uploaded, TexAu will display the file name and preview its content. Verify the data to ensure accuracy.
    • Job URL: Choose the column header containing LinkedIn job URLs.

    Configure additional options:

    • Number of Rows to Process (Optional): Specify the number of rows to process from the CSV file.
    • Number of Rows to Skip (Optional): Define rows to skip at the beginning of the file.

    Click Run in the lower-right corner to initiate the automation.

    Screenshot Suggestion: Show the Input Source selection screen, highlighting the CSV file upload feature, file preview, and the Select Header option.

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    Step 5: 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.

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    Step 6: Set an Iteration Delay (Optional)

    Avoid detection and simulate human-like activity by setting an iteration delay. Choose minimum and maximum time intervals to add randomness between actions. This makes your activity look natural and reduces the chance of being flagged.

    • Minimum Delay: Enter the shortest interval (e.g., 10 seconds).
    • Maximum Delay: Enter the longest interval (e.g., 20 seconds).

    Tip: Random delays keep your automation safe and reliable.

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    Step 7: 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.

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    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.

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    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.

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