Rust Input Function Example
Pricing
Pay per usage
Rust Input Function Example
Dynamically compile and run input-provided page function. Like Cheerio Scraper but in Rust.
0.0 (0)
Pricing
Pay per usage
2
Monthly users
1
Last modified
5 months ago
You can access the Rust Input Function Example 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=lukaskrivka/rust-input-function-example"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1faUsing Rust Input Function Example via Model Context Protocol (MCP) server
MCP server lets you use Rust Input Function Example 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 Rust Input Function Example 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 "url": "https://apify.com",
8 "page_function": "use serde_json::{Value,json};\\nuse scraper::{Html, Selector};\\n\\nfn selector_to_text(document: &Html, selector: &str) -> Option<String> {\\n document\\n .select(&Selector::parse(selector).unwrap())\\n .next()\\n .map(|el| el.text().next().unwrap().into() )\\n}\\n\\n#[no_mangle]\\npub fn page_function (document: &Html) -> Value { \\n println!(\\"page_function starting\\");\\n\\n let title = selector_to_text(&document, \\"title\\");\\n println!(\\"extracted title: {:?}\\", title);\\n\\n let header = selector_to_text(&document, \\"h1\\");\\n println!(\\"extracted header: {:?}\\", header);\\n\\n let companies_using_apify = document\\n .select(&Selector::parse(\\".Logos__container\\").unwrap())\\n .next().unwrap()\\n .select(&Selector::parse(\\"img\\").unwrap())\\n .map(|el| el.value().attr(\\"alt\\").unwrap().to_string())\\n .collect::<Vec<String>>();\\n\\n println!(\\"extracted companies_using_apify: {:?}\\", companies_using_apify);\\n\\n let output = json!({\\n \\"title\\": title,\\n \\"header\\": header,\\n \\"companies_using_apify\\": companies_using_apify,\\n });\\n println!(\\"inside pageFunction output: {:?}\\", output);\\n output\\n}"
9},
10 "name": "lukaskrivka/rust-input-function-example"
11 }
12}'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 Rust Input Function Example
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 "lukaskrivka/rust-input-function-example"
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.
