Check the status of a scraping job.

## Headers

| Name | Type | Required | Description |
|  --- | --- | --- | --- |
| `Authorization` | string | Yes | Bearer token authentication |


## Path Parameters

| Parameter | Type | Required | Description |
|  --- | --- | --- | --- |
| `job_id` | string | Yes | Job identifier |


## Response

**Status**: `200 OK`

Returns the same structure as the synchronous scrape response, with status indicating current job state.

| Field | Type | Description |
|  --- | --- | --- |
| `job_id` | string | Unique job identifier |
| `status` | string | "pending", "processing", "completed", "failed", "cancelled" |
| `url` | string | The scraped URL |
| `extracted_data` | array|null | Array of extracted items (null if not completed) |
| `metadata` | object|null | Processing metadata (null if not completed) |
| `created_at` | string | Job creation timestamp |
| `completed_at` | string|null | Job completion timestamp (null if not completed) |


Get Job Status

```bash
curl -X GET https://api.aitronos.com/api/v1/scrape/jobs/job_abc123def456 \
  -H "X-API-Key: $FREDDY_API_KEY"
```


```python
import os
import requests

api_key = os.environ["FREDDY_API_KEY"]
job_id = "job_abc123def456"

response = requests.get(
    f"https://api.aitronos.com/api/v1/scrape/jobs/{job_id}",
    headers={"X-API-Key": api_key}
)

data = response.json()
print(f"Status: {data['status']}")
if data['status'] == 'completed':
    print(f"Extracted {len(data['extracted_data'])} items")
```


```javascript
const axios = require('axios');

const apiKey = process.env.FREDDY_API_KEY;
const jobId = 'job_abc123def456';

axios.get(`https://api.aitronos.com/api/v1/scrape/jobs/${jobId}`, {
  headers: { 'X-API-Key': apiKey }
})
.then(response => {
  const data = response.data;
  console.log(`Status: ${data.status}`);
  if (data.status === 'completed') {
    console.log(`Extracted ${data.extracted_data.length} items`);
  }
});
```

**Response** `200 OK`


```json
{
  "job_id": "job_abc123def456",
  "status": "completed",
  "url": "https://example.com/products",
  "extracted_data": [
    {
      "title": "Product Name",
      "price": 29.99
    }
  ],
  "metadata": {
    "processing_time": 2.5,
    "engine_used": "browser",
    "llm_calls": 1,
    "cache_hit": false
  },
  "created_at": "2024-12-16T10:30:00Z",
  "completed_at": "2024-12-16T10:30:02Z"
}
```