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$5.00 / 1,000 results

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Indeed Review, Interview, Location, Salary, Jobs-Pay Per Result

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Developed by

Muhamed Didovic

Unlock 360° workforce intelligence - scrape reviews, salaries, jobs, interviews, company profiles, and cultural metrics from Indeed in one click. Transform raw data into recruitment strategies, competitive analysis, and market trends with enterprise-grade HR analytics.

0.0 (0)

Pricing

$5.00 / 1,000 results

Total users

Monthly users

Runs succeeded

>99%

Last modified

11 days ago

Jobs

Automation

You can access the Indeed Review, Interview, Location, Salary, Jobs-Pay Per Result 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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/sse?actors=memo23/apify-indeed-reviews-ppr",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with Indeed Review, Interview, Location, Salary, Jobs-Pay Per Result

You have a few options for interacting with the MCP server:

Use mcp.apify.com via mcp-remote from your local machine to connect and authenticate using OAuth or an API token (as shown in the JSON configuration above).
Set up the connection directly in your MCP client UI by providing the URL https://mcp.apify.com/sse?actors=memo23/apify-indeed-reviews-ppr along with an API token (or use OAuth).
Connect to mcp.apify.com via Server-Sent Events (SSE), as shown below:

{
    "mcpServers": {
        "apify": {
            "type": "sse",
            "url": "https://mcp.apify.com/sse?actors=memo23/apify-indeed-reviews-ppr",
            "headers": {
                "Authorization": "Bearer <YOUR_API_TOKEN>"
            }
        }
    }
}

You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other 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.

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