๐Ÿš€ Indeed jobs scraper [PPR] avatar
๐Ÿš€ Indeed jobs scraper [PPR]

Pricing

$5.00 / 1,000 jobs

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๐Ÿš€ Indeed jobs scraper [PPR]

๐Ÿš€ Indeed jobs scraper [PPR]

Developed by

borderline

borderline

Maintained by Community

Pay per result - Fast and reliable Indeed Job Scraper! ๐Ÿš€ Extract job listings with company details effortlessly with advanced filters, avoid blocking, and enjoy lightning-speed execution. Build your analytics, automate searches, or benchmark salariesโ€”all with seamless outputs. Try it now for free !

0.0 (0)

Pricing

$5.00 / 1,000 jobs

27

Total users

289

Monthly users

138

Runs succeeded

98%

Issue response

5.2 hours

Last modified

22 days ago

You can access the ๐Ÿš€ Indeed jobs scraper [PPR] programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, youโ€™ll need an Apify account and your API token, found in Integrations settings in Apify Console.

$# Start Server-Sent Events (SSE) session and keep it running
<curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=borderline/indeed-scraper"
# Session id example output:
# event: endpoint
# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa

Using ๐Ÿš€ Indeed jobs scraper [PPR] via Model Context Protocol (MCP) server

MCP server lets you use ๐Ÿš€ Indeed jobs scraper [PPR] within your AI workflows. Send API requests to trigger actions and receive real-time results. Take the received sessionId and use it to communicate with the MCP server. The message starts the ๐Ÿš€ Indeed jobs scraper [PPR] Actor with the provided input.

$curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{
$ "jsonrpc": "2.0",
$ "id": 1,
$ "method": "tools/call",
$ "params": {
$ "arguments": {
$ "country": "us",
$ "query": "Analyst",
$ "maxRows": 100
$},
$ "name": "borderline/indeed-scraper"
$ }
$}'

The response should be: Accepted. You should received response via SSE (JSON) as:

$event: message
$data: {
$ "result": {
$ "content": [
$ {
$ "type": "text",
$ "text": "ACTOR_RESPONSE"
$ }
$ ]
$ }
$}

Configure local MCP Server via standard input/output for ๐Ÿš€ Indeed jobs scraper [PPR]

You can connect to the MCP Server using clients like ClaudeDesktop and LibreChat or build your own. The server can run both locally and remotely, giving you full flexibility. Set up the server in the client configuration as follows:

{
"mcpServers": {
"actors-mcp-server": {
"command": "npx",
"args": [
"-y",
"@apify/actors-mcp-server",
"--actors",
"borderline/indeed-scraper"
],
"env": {
"APIFY_TOKEN": "<YOUR_API_TOKEN>"
}
}
}
}

You can further access the MCP client through the Tester MCP Client, a chat user interface to interact with the server.

To get started, check out the documentation and example clients. If you are interested in learning more about our MCP server, check out our blog post.