
Olx Scraper
Pricing
$15.00/month + usage

Olx Scraper
The OLX Scraper is an Apify actor designed to extract detailed data from olx.com. Customize inputs like item limit, price range, and search query. Get comprehensive JSON outputs with listing details, images, prices, and more. Ideal for precise and efficient data scraping.
0.0 (0)
Pricing
$15.00/month + usage
0
Total users
36
Monthly users
17
Runs succeeded
97%
Last modified
2 months ago
You can access the Olx 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.
$# Start Server-Sent Events (SSE) session and keep it running<curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=hello.datawizard-owner/olx-scraper"
# Session id example output:# event: endpoint# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa
Using Olx Scraper via Model Context Protocol (MCP) server
MCP server lets you use Olx 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 Olx 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": {$ "query": "mobile phone",$ "price_min": 50,$ "price_max": 50000,$ "item_limit": 100,$ "proxyConfiguration": {$ "useApifyProxy": true$ }$},$ "name": "hello.datawizard-owner/olx-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 Olx 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", "hello.datawizard-owner/olx-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.