Go to example tasks

Pull 50 Naukri jobs in one go

Sets max items per search to 50. A predictable run size, so you know roughly what the dataset and the bill will look like.

Try for free
Naukri Job Scraper
Naukri Job Scrapergoat255/naukri-scraper
Type
Job Title
Company
Job ID
+19 fields
Text
Number
Boolean
List
Object

Input

Searches
keyword:data analyst
location:bangalore
Max items per search:50
Concurrency:5

Output fields

Type
Job Title
Company
Job ID
Company ID
Location
Salary
Experience
Skills
Posted
Currency
Description
Rating
Company reviews count
Min salary
Max salary
Min experience years
Max experience years
Openings
Posted at
URL
Logo
Scraped at

How it works

Sign up on Apify or log in

The Naukri Job Scraper Actor is ready to run with the inputs already set for "Pull 50 Naukri jobs in one go". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Pull 50 Naukri jobs in one go" task

The Naukri Job Scraper Actor will start running based on the input automatically. You can also change all the input fields, like searches, max items per search, and more, to match your specific use case.

Receive the "Pull 50 Naukri jobs in one go" 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 type, job title, company, and more.

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 "Pull 50 Naukri jobs in one go" task via API.

Image

Integrate "Pull 50 Naukri jobs in one go" into your workflow

Connect "Pull 50 Naukri jobs in one go" 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