
Cheerio Scraper
Pricing
Pay per usage

Cheerio Scraper
Crawls websites using raw HTTP requests, parses the HTML with the Cheerio library, and extracts data from the pages using a Node.js code. Supports both recursive crawling and lists of URLs. This actor is a high-performance alternative to apify/web-scraper for websites that do not require JavaScript.
4.7 (11)
Pricing
Pay per usage
131
Monthly users
599
Runs succeeded
>99%
Last modified
5 months ago
You can access the Cheerio 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.
1# Start Server-Sent Events (SSE) session and keep it running
2curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=apify/cheerio-scraper"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa
Using Cheerio Scraper - HTML scraping tool via Model Context Protocol (MCP) server
MCP server lets you use Cheerio Scraper - HTML scraping tool 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 Cheerio Scraper - HTML scraping tool 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 "startUrls": [
8 {
9 "url": "https://crawlee.dev"
10 }
11 ],
12 "globs": [
13 {
14 "glob": "https://crawlee.dev/*/*"
15 }
16 ],
17 "pseudoUrls": [],
18 "excludes": [
19 {
20 "glob": "/**/*.{png,jpg,jpeg,pdf}"
21 }
22 ],
23 "linkSelector": "a[href]",
24 "pageFunction": "async function pageFunction(context) {\\n const { $, request, log } = context;\\n\\n // The \\"$\\" property contains the Cheerio object which is useful\\n // for querying DOM elements and extracting data from them.\\n const pageTitle = $('\''title'\'').first().text();\\n\\n // The \\"request\\" property contains various information about the web page loaded. \\n const url = request.url;\\n \\n // Use \\"log\\" object to print information to actor log.\\n log.info('\''Page scraped'\'', { url, pageTitle });\\n\\n // Return an object with the data extracted from the page.\\n // It will be stored to the resulting dataset.\\n return {\\n url,\\n pageTitle\\n };\\n}",
25 "proxyConfiguration": {
26 "useApifyProxy": true
27 },
28 "initialCookies": [],
29 "additionalMimeTypes": [],
30 "preNavigationHooks": "// We need to return array of (possibly async) functions here.\\n// The functions accept two arguments: the \\"crawlingContext\\" object\\n// and \\"requestAsBrowserOptions\\" which are passed to the `requestAsBrowser()`\\n// function the crawler calls to navigate..\\n[\\n async (crawlingContext, requestAsBrowserOptions) => {\\n // ...\\n }\\n]",
31 "postNavigationHooks": "// We need to return array of (possibly async) functions here.\\n// The functions accept a single argument: the \\"crawlingContext\\" object.\\n[\\n async (crawlingContext) => {\\n // ...\\n },\\n]",
32 "customData": {}
33},
34 "name": "apify/cheerio-scraper"
35 }
36}'
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 Cheerio Scraper - HTML scraping tool
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 "apify/cheerio-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 usageThis Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage.