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Rust Input Function Example

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Rust Input Function Example

Rust Input Function Example

lukaskrivka/rust-input-function-example
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Dynamically compile and run input-provided page function. Like Cheerio Scraper but in Rust.

You can access the Rust Input Function Example programmatically from your own applications by using the Apify API. You can 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# Set API token
2API_TOKEN=<YOUR_API_TOKEN>
3
4# Prepare Actor input
5cat > input.json << 'EOF'
6{
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}
10EOF
11
12# Run the Actor using an HTTP API
13# See the full API reference at https://docs.apify.com/api/v2
14curl "https://api.apify.com/v2/acts/lukaskrivka~rust-input-function-example/runs?token=$API_TOKEN" \
15  -X POST \
16  -d @input.json \
17  -H 'Content-Type: application/json'

Rust Input Function Example API

Below, you can find a list of relevant HTTP API endpoints for calling the Rust Input Function Example Actor. For this, you’ll need an Apify account. Replace <YOUR_API_TOKEN> in the URLs with your Apify API token, which you can find under Integrations in Apify Console. For details, see the API reference .

Run Actor

POST
https://api.apify.com/v2/acts/lukaskrivka~rust-input-function-example/runs?token=<YOUR_API_TOKEN>

Note: By adding the method=POST query parameter, this API endpoint can be called using a GET request and thus used in third-party webhooks. Please refer to our Run Actor API documentation .

Run Actor synchronously and get dataset items

POST
https://api.apify.com/v2/acts/lukaskrivka~rust-input-function-example/run-sync-get-dataset-items?token=<YOUR_API_TOKEN>

Note: This endpoint supports both POST and GET request methods. However, only the POST method allows you to pass input data. For more information, please refer to our Run Actor synchronously and get dataset items API documentation .

Get Actor

GET
https://api.apify.com/v2/acts/lukaskrivka~rust-input-function-example?token=<YOUR_API_TOKEN>

For more information, please refer to our Get Actor API documentation .

Actors can be used to scrape web pages, extract data, or automate browser tasks. Use the Rust Input Function Example API programmatically via the Apify API.

You can choose from:

You can start Rust Input Function Example with the Apify API by sending an HTTP POST request to the Run Actor endpoint. An Actor’s input and its content type can be passed as a payload of the POST request, and additional options can be specified using URL query parameters. The Rust Input Function Example is identified within the API by its ID, which is the creator’s username and the name of the Actor.

When the Rust Input Function Example run finishes you can list the data from its default dataset (storage) via the API or you can preview the data directly on Apify Console .

Developer
Maintained by Community
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  • 1 monthly user
  • 2 stars
  • 100.0% runs succeeded
  • Created in Dec 2023
  • Modified 11 months ago