
Indeed Scraper
Pricing
$5.00 / 1,000 results

Indeed Scraper
Scrape jobs posted on Indeed. Get detailed information from this job portal about saved and sponsored jobs. Specify the search based on location with the output attributes position, location, and description.
4.5 (26)
Pricing
$5.00 / 1,000 results
269
Monthly users
1.3k
Runs succeeded
>99%
Response time
9.1 days
Last modified
3 months ago
You can access the Indeed 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, youāll need an Apify account and your API token, found in Integrations settings in Apify Console.
1# Start Server-Sent Events (SSE) session and keep it running
2curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=misceres/indeed-scraper"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa
Using š¼ Indeed Scraper via Model Context Protocol (MCP) server
MCP server lets you use š¼ Indeed 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 š¼ Indeed Scraper Actor with the provided input.
1curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{
2 "jsonrpc": "2.0",
3 "id": 1,
4 "method": "tools/call",
5 "params": {
6 "arguments": {
7 "position": "web developer",
8 "country": "US",
9 "location": "San Francisco",
10 "maxItems": 50
11},
12 "name": "misceres/indeed-scraper"
13 }
14}'
The response should be: Accepted
. You should received response via SSE (JSON) as:
1event: message
2data: {
3 "result": {
4 "content": [
5 {
6 "type": "text",
7 "text": "ACTOR_RESPONSE"
8 }
9 ]
10 }
11}
Configure local MCP Server via standard input/output for š¼ Indeed 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:
1{
2 "mcpServers": {
3 "actors-mcp-server": {
4 "command": "npx",
5 "args": [
6 "-y",
7 "@apify/actors-mcp-server",
8 "--actors",
9 "misceres/indeed-scraper"
10 ],
11 "env": {
12 "APIFY_TOKEN": "<YOUR_API_TOKEN>"
13 }
14 }
15 }
16}
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.
Pricing
Pricing model
Pay per resultĀThis Actor isĀ paid per result. You are not charged for the Apify platform usage, but only a fixed price for each dataset of 1,000 items in the Actor outputs.
Price per 1,000 items
$5.00