# Heal Sandbox Test (`scraper_pro_max/heal-sandbox-test`) Actor

- **URL**: https://apify.com/scraper\_pro\_max/heal-sandbox-test.md
- **Developed by:** [Александр Нестеров](https://apify.com/scraper_pro_max) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## heal-sandbox-test — T2 auto-repair regression fixture

**NOT a Store actor.** A deliberately-trivial, self-contained actor whose only job is to prove the
autonomous **T2** code-fix loop (`departments/05_heal/skills/agy_fix.py`) works end-to-end on real
Apify infra. Bond made it a PERMANENT fixture (2026-06-19) so the loop can be re-proven anytime the
heal system changes.

It parses a tiny embedded HTML catalog (3 `<div class="product">` cards) with parsel and pushes one
row per product — no network, no `_shared`, no anti-bot → fully deterministic, so a deliberate break
is unambiguous and the fix is verifiable on a cloud smoke run.

### Re-prove the T2 loop (≈3 min, our lane)

1. **Break it** — change the selector in `src/main.py`:
   `for node in sel.css("div.product")` → `sel.css("div.item")` (now finds 0 products).
2. **Make the repair task** (`data/repair_queue/heal-sandbox-test.task.json`) with `actor`,
   `bare_name`, `repo_dir`, optional `last_run_id`/`error_hint` — or let `autorepair.detect()` enqueue it.
3. **Run T2 live:**
   ```
   python3 departments/05_heal/skills/agy_fix.py --task data/repair_queue/heal-sandbox-test.task.json --live
   ```
4. **Expect:** agy GENERATES the corrected file → `_apply_blocks` writes it → forbidden-diff guard PASS
   → pytest → adversarial review APPROVE → deploy → cloud smoke **PASS (3 records)** → `RESOLVED_T2`,
   `src/main.py` healed back to `div.product`. The record lands in `data/insights/incidents.jsonl`.

A green run proves: agy-as-generator returns (no headless hang), the money-line guard only allows
`src/`, the deploy+rollback chain works, and the cloud smoke gate is honest. First proven 2026-06-19
(flushed 4 production-fatal bugs in the T2 fixer — see memory `agy-fix-generation-mode`).

# Actor input Schema

## `maxItems` (type: `integer`):

Ignored — the sandbox parses a fixed embedded catalog.

## Actor input object example

```json
{
  "maxItems": 3
}
```

# Actor output Schema

## `results` (type: `string`):

Dataset with the scraped records.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "maxItems": 3
};

// Run the Actor and wait for it to finish
const run = await client.actor("scraper_pro_max/heal-sandbox-test").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "maxItems": 3 }

# Run the Actor and wait for it to finish
run = client.actor("scraper_pro_max/heal-sandbox-test").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "maxItems": 3
}' |
apify call scraper_pro_max/heal-sandbox-test --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scraper_pro_max/heal-sandbox-test"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/ZAhA0fGDAmbO6GtTp/builds/lta7FWEOLCuBM1zCy/openapi.json