You can access the Actor Benchmark 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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

# Set API token
$API_TOKEN=<YOUR_API_TOKEN>

# Prepare Actor input
$cat > input.json << 'EOF'
<{
<  "buildNumbers": [
<    "0.3.67",
<    "canary"
<  ],
<  "actorId": "apify/website-content-crawler",
<  "actorInput": {
<    "maxResults": 1,
<    "blockMedia": true,
<    "clickElementsCssSelector": "[aria-expanded=\"false\"]",
<    "clientSideMinChangePercentage": 15,
<    "crawlerType": "playwright:adaptive",
<    "proxyConfiguration": {
<      "useApifyProxy": true
<    },
<    "readableTextCharThreshold": 100,
<    "removeElementsCssSelector": "nav, footer, script, style, noscript, svg, img[src^='data:'],\n[role=\"alert\"],\n[role=\"banner\"],\n[role=\"dialog\"],\n[role=\"alertdialog\"],\n[role=\"region\"][aria-label*=\"skip\" i],\n[aria-modal=\"true\"]",
<    "renderingTypeDetectionPercentage": 10,
<    "respectRobotsTxtFile": true,
<    "reuseStoredDetectionResults": false,
<    "signHttpRequests": false,
<    "startUrls": [
<      {
<        "url": "https://docs.apify.com/academy/scraping-basics-javascript"
<      }
<    ],
<    "storeSkippedUrls": false,
<    "useLlmsTxt": false,
<    "useSitemaps": false,
<    "keepUrlFragments": false,
<    "ignoreCanonicalUrl": false,
<    "ignoreHttpsErrors": false,
<    "removeCookieWarnings": true,
<    "expandIframes": true,
<    "aggressivePrune": false,
<    "debugMode": false,
<    "debugLog": false,
<    "saveHtml": false,
<    "saveHtmlAsFile": false,
<    "saveMarkdown": true,
<    "saveFiles": false,
<    "saveScreenshots": false
<  }
<}
<EOF

# Run the Actor using an HTTP API
# See the full API reference at https://docs.apify.com/api/v2
$curl "https://api.apify.com/v2/acts/apify~actor-benchmark/runs?token=$API_TOKEN" \
<  -X POST \
<  -d @input.json \
<  -H 'Content-Type: application/json'

Actor Benchmark API

Below, you can find a list of relevant HTTP API endpoints for calling the Actor Benchmark 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/apify~actor-benchmark/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/apify~actor-benchmark/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/apify~actor-benchmark?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 Actor Benchmark API programmatically via the Apify API.

You can choose from:

Actor Benchmark API in Python

Actor Benchmark API in JavaScript

Actor Benchmark API through CLI

Actor Benchmark OpenAPI definition

You can start Actor Benchmark with the Apify API by sending an HTTP POST request to the Run Actorendpoint. 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 Actor Benchmark is identified within the API by its ID, which is the creator’s username and the name of the Actor.

When the Actor Benchmark 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.

Website Contact Extractor (Browser)

santamaria-automations/website-contact-extractor-browser

Extract team contacts from JavaScript-rendered company websites (React, Vue, Angular) using AI + Playwright. Companion to the HTTP-only Website Contact Extractor. Handles the ~28% of sites that need a real browser. Same output format, same quality, same LLM fallback chain.

Alessandro Santamaria

Website Job Extractor (Browser)

santamaria-automations/website-job-extractor-browser

Extract job listings from JavaScript-rendered career pages (React, Vue, Angular) using AI + Playwright. Companion to the HTTP-only Website Job Extractor. Use it for the ~28% of company sites that need a real browser. Same output format, same quality, same LLM fallback chain.

Alessandro Santamaria