Python & JS Code Runner – Sandbox for AI Agents & Workflows
Pricing
from $0.80 / 1,000 code executions
Run Python or JavaScript (Node.js) code with JSON input in a fresh process: timeout with process-group kill, stdout/stderr capture, structured result, exit code, duration, pip/npm packages, batch jobs and dataset rows. Built for AI agents (MCP), n8n, Make and Zapier. Pay per execution.
You can access the Python & JS Code Runner – Sandbox for AI Agents & Workflows programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
# Set API token$API_TOKEN=<YOUR_API_TOKEN>
# Prepare Actor input$cat > input.json << 'EOF'<{< "code": "# `input` holds the job's JSON input. Set `result` to return data (any JSON-serializable value).\nimport statistics\n\nnums = input.get(\"numbers\", [])\nprint(f\"Got {len(nums)} numbers\")\nresult = {\n \"count\": len(nums),\n \"sum\": sum(nums),\n \"mean\": statistics.mean(nums) if nums else None,\n \"sorted\": sorted(nums),\n}\n",< "inputJson": {< "numbers": [< 1,< 2,< 3< ]< },< "jobs": [< {< "id": "python-stats",< "input": {< "numbers": [< 4,< 8,< 15,< 16,< 23,< 42< ]< }< },< {< "id": "js-word-count",< "language": "javascript",< "code": "// `input` holds the job's JSON input. `return` a value (top-level await works).\nconst words = (input.text || '').toLowerCase().match(/[a-z']+/g) || [];\nconst counts = {};\nfor (const w of words) counts[w] = (counts[w] || 0) + 1;\nconsole.log(`Counted ${words.length} words`);\nreturn Object.entries(counts)\n .sort((a, b) => b[1] - a[1])\n .slice(0, 5)\n .map(([word, count]) => ({ word, count }));\n",< "input": {< "text": "The quick brown fox jumps over the lazy dog. The dog sleeps; the fox runs."< }< }< ]<}<EOF
# Run the Actor using an HTTP API# See the full API reference at https://docs.apify.com/api/v2$curl "https://api.apify.com/v2/actors/gazidev~code-runner-sandbox/runs?token=$API_TOKEN" \< -X POST \< -d @input.json \< -H 'Content-Type: application/json'Below, you can find a list of relevant HTTP API endpoints for calling the Python & JS Code Runner – Sandbox for AI Agents & Workflows 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 API & Integrations in Apify Console. For details, see the API reference.
https://api.apify.com/v2/actors/gazidev~code-runner-sandbox/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.
https://api.apify.com/v2/actors/gazidev~code-runner-sandbox/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.
https://api.apify.com/v2/actors/gazidev~code-runner-sandbox?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 Python & JS Code Runner – Sandbox for AI Agents & Workflows API programmatically via the Apify API.
You can choose from:
Python & JS Code Runner – Sandbox for AI Agents & Workflows API in Python
Python & JS Code Runner – Sandbox for AI Agents & Workflows API in JavaScript
Python & JS Code Runner – Sandbox for AI Agents & Workflows API through CLI
Python & JS Code Runner – Sandbox for AI Agents & Workflows OpenAPI definition
You can start Python & JS Code Runner – Sandbox for AI Agents & Workflows 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 Python & JS Code Runner – Sandbox for AI Agents & Workflows is identified within the API by its ID, which is the creator’s username and the name of the Actor.
When the Python & JS Code Runner – Sandbox for AI Agents & Workflows 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.