Naukri Job Scraper
Pricing
Pay per event
Naukri Job Scraper
Naukri Job Scraper is an actor that automatically scrapes job postings from Naukri.com. It scrapes details such as job title, company name, experience and salary based on the specified keyword and maximum number of jobs. The collected data can be used for recruitment analysis and market research.
5.0 (4)
Pricing
Pay per event
15
Total users
363
Monthly users
112
Runs succeeded
>99%
Issues response
0.17 hours
Last modified
17 hours ago
You can access the Naukri Job Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
{ "mcpServers": { "local-actors-mcp-server": { "command": "npx", "args": [ "-y", "@apify/actors-mcp-server", "--actors", "muhammetakkurtt/naukri-job-scraper" ], "env": { "APIFY_TOKEN": "<YOUR_API_TOKEN>" } } }}Configure MCP server with Naukri Job Scraper
You can interact with the MCP server via standard input/output - stdio (as shown above), which is ideal for local integrations and command-line tools such as the Claude desktop client, or you can interact with the server through Server-Sent Events (SSE) to send messages and receive responses, which looks as follows:
{ "mcpServers": { "remote-actors-mcp-server": { "type": "sse", "url": "https://mcp.apify.com/sse?actors=muhammetakkurtt/naukri-job-scraper", "headers": { "Authorization": "Bearer <YOUR_API_TOKEN>" } } }}You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other supported MCP client of your choice.
If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.
