Go to example tasks

LinkedIn jobs matched to stable IDs

Keep title, author and job ID together for deduplication and later hiring updates.

Try for free
LinkedIn Data Export Scraper
LinkedIn Data Export Scraperreapx/linkedin-data-export-scraper
Title
Author
Job ID
Text
Number
Boolean
List
Object

Input

Which sources?:software engineer
How many results?:3

Output fields

Title
Author
Job ID

How it works

Sign up on Apify or log in

The LinkedIn Data Export Scraper Actor is ready to run with the inputs already set for "LinkedIn jobs matched to stable IDs". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "LinkedIn jobs matched to stable IDs" task

The LinkedIn Data Export Scraper Actor will start running based on the input automatically. You can also change all the input fields, like which sources? and how many results?, to match your specific use case.

Receive the "LinkedIn jobs matched to stable IDs" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as title, author, and job id.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "LinkedIn jobs matched to stable IDs" task via API.

Image

Integrate "LinkedIn jobs matched to stable IDs" into your workflow

Connect "LinkedIn jobs matched to stable IDs" with 100+ integrations, or run it via API or MCP.

Webhook

Webhook

n8n

n8n

Make

Make

Zapier

Zapier

Airbyte

Airbyte

Keboola

Keboola

IFTTT

IFTTT

Hubspot

Hubspot

GDrive

GDrive

Gmail

Gmail

Apify MCP

Apify MCP

GitHub

GitHub

Slack

Slack

LangChain

LangChain

LlamaIndex

LlamaIndex

Flowise

Flowise

Pinecone

Pinecone

OpenAI

OpenAI

Mastra

Mastra

Clay

Clay