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Scrape LinkedIn job listings with Apify and save them in Airtable weekly

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Scrape LinkedIn job listings with Apify and save them in Airtable weekly preview
Open on n8n.io

1. Workflow Overview

Full walkthrough video: https://youtu.be/Gv31A4vHJcA Who it's for This workflow is for job seekers, recruiters, or HR teams who want to automatically monitor new job postings on LinkedIn based o...

Best for

  • HR automation workflows
  • intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.stickynote, n8n-nodes-base.httprequest, n8n-nodes-base.scheduletrigger, n8n-nodes-base.set, n8n-nodes-base.airtable

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Allan Vaccarizi.

Original n8n.io source

1.1 Workflow description

Title
Scrape LinkedIn job listings with Apify and save them in Airtable weekly
Workflow name
Scrape LinkedIn job listings with Apify and save them in Airtable weekly

📺 Full walkthrough video: https://youtu.be/Gv31A4vHJcA

Who it's for

This workflow is for job seekers, recruiters, or HR teams who want to automatically monitor new job postings on LinkedIn based on specific search queries, without manually checking the platform every week.

How it works

  1. A Schedule Trigger fires the workflow every week at 10am.
  2. The Set Search Queries node defines up to three job title keywords (e.g. "Assistant administratif", "Assistant ADV", "Administration des ventes").
  3. An HTTP POST request submits these queries to an Apify actor (vIGxjRrHqDTPuE6M4), which scrapes matching LinkedIn job listings — filtered by location (France), company size (≤500 employees), and time range (last 7 days).
  4. Each result returned by Apify (title, company, location, description, recruiter info, etc.) is saved as a new record in Airtable.

How to set up

  • Configure the Schedule Trigger with your desired run frequency
  • Add your Apify API credentials to the HTTP Request node
  • Verify the Apify actor ID matches your chosen LinkedIn scraper
  • Update the search queries in the Set Search Queries node
  • Connect your Airtable account and configure the target base and table

Requirements

  • Apify account with API token
  • Airtable account with a configured base and table

How to customize

  • Add more query fields in the Set Search Queries node to broaden your job search coverage
  • Adjust the Apify actor payload (location, company size, time range) to target different markets or job types
  • Add a downstream step to send a Slack or email notification when new jobs are found

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Sticky Note13

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 2 - Sticky Note16

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 3 - Sticky Note

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 4 - Sticky Note1

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 5 - Sticky Note2

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 6 - Run Apify Actor and Fetch Results

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.3

Block 7 - Every Week at 10am

Type / Role
n8n-nodes-base.scheduleTrigger - scheduleTrigger
Config choices
Version 1.3

Block 8 - Set Search Queries

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 9 - Create Record in Airtable

Type / Role
n8n-nodes-base.airtable - airtable
Config choices
Version 2.2

3. Summary Table

Workflow Scrape LinkedIn job listings with Apify and save them in Airtable weekly
Complexity intermediate
Nodes 9
Categories HR
Author Allan Vaccarizi
Published 12 May 2026

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/15663/15663.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Frequently asked questions

What does Scrape LinkedIn job listings with Apify and save them in Airtable weekly do?

Full walkthrough video: https://youtu.be/Gv31A4vHJcA Who it's for This workflow is for job seekers, recruiters, or HR teams who want to automatically monitor new job postings on LinkedIn based o...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your HR use case.