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๐Ÿ”ฅ Indeed Jobs Scraper

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๐Ÿ”ฅ Indeed Jobs Scraper

๐Ÿ”ฅ Indeed Jobs Scraper

Deprecated

Developed by

Bebity

Bebity

Maintained by Community

๐Ÿš€ UPDATED ๐Ÿš€ Explore job opportunities effortlessly with the Indeed Jobs Scraper Apify Actor. Input your criteria, fetch targeted listings, and streamline your job search. Advanced filters, intuitive UI, and precise data at your fingertips! ๐ŸŒŸ๐Ÿ”๐Ÿ“Š

0.0 (0)

Pricing

Pay per event

14

Total users

553

Monthly users

4

Runs succeeded

94%

Last modified

10 days ago

You can access the ๐Ÿ”ฅ Indeed Jobs 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, 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=bebity/indeed-jobs-scraper"
# Session id example output:
# event: endpoint
# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa

Using ๐Ÿ”ฅ Indeed Jobs Scraper via Model Context Protocol (MCP) server

MCP server lets you use ๐Ÿ”ฅ Indeed Jobs Scraper 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 ๐Ÿ”ฅ Indeed Jobs Scraper 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": {},
$ "name": "bebity/indeed-jobs-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 ๐Ÿ”ฅ Indeed Jobs Scraper

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",
"bebity/indeed-jobs-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.