> ## Documentation Index
> Fetch the complete documentation index at: https://docs.lobstr.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Add Tasks

> Add TripAdvisor place URLs as tasks to scrape reviews from hotels, restaurants, and attractions

Add TripAdvisor place URLs to your squid for scraping reviews. The scraper extracts comprehensive review data including ratings, review text, user information, travel dates, photos, subratings, owner responses, and more from hotels, restaurants, and attractions on TripAdvisor.

## Headers

<ParamField header="Authorization" type="string" required>
  Your API authentication token. Value: `Token YOUR_API_KEY`
</ParamField>

<ParamField header="Content-Type" type="string" required>
  Request body format. Value: `application/json`
</ParamField>

## Task Format

Each task should contain a URL from a TripAdvisor place page. You can scrape reviews from hotels, restaurants, or attractions.

## Supported URL Formats

The scraper supports TripAdvisor review URLs from various regional domains:

<Tip>
  Use the scraper's filter settings (language, rating, fetch\_since) to collect only the reviews you need and reduce credit consumption.
</Tip>

<Note>
  Each place type (hotel, restaurant, attraction) has its own URL format on TripAdvisor. Make sure to use the review page URL, not the overview page.
</Note>

## Code Examples

<CodeGroup>
  ```bash cURL theme={null}
  curl -X POST "https://api.lobstr.io/v1/tasks" \
    -H "Authorization: Token YOUR_API_KEY" \
    -H "Content-Type: application/json" \
    -d '{
      "squid": "YOUR_SQUID_HASH",
      "tasks": [
        {
          "url": "https://www.tripadvisor.com/Hotel_Review-g60763-d208453-Reviews-Hilton_New_York_Times_Square-New_York_City_New_York.html"
        }
      ]
    }'
  ```

  ```python Python theme={null}
  import requests

  API_KEY = "YOUR_API_KEY"
  BASE_URL = "https://api.lobstr.io/v1"
  headers = {"Authorization": f"Token {API_KEY}"}

  squid_id = "YOUR_SQUID_HASH"

  # Add TripAdvisor place URLs as tasks
  response = requests.post(f"{BASE_URL}/tasks",
      headers=headers,
      json={
          "squid": squid_id,
          "tasks": [
              {"url": "https://www.tripadvisor.com/Hotel_Review-g60763-d208453-Reviews-Hilton_New_York_Times_Square-New_York_City_New_York.html"},
              {"url": "https://www.tripadvisor.com/Hotel_Review-g60763-d120461-Reviews-The_Knickerbocker-New_York_City_New_York.html"}
          ]
      }
  )

  data = response.json()
  print(f"Added {len(data['tasks'])} tasks")
  print(f"Duplicates skipped: {data['duplicated_count']}")

  for task in data["tasks"]:
      print(f"  Task ID: {task['id']}")
      print(f"  URL: {task['params']['url']}")
  ```
</CodeGroup>

## Response

```json 200 theme={null}
{
  "duplicated_count": 0,
  "tasks": [
    {
      "id": "a7d9f45e3b2c8e1f7d6a8b9c4e5f7a9b",
      "created_at": "2025-01-27T14:30:00.123456",
      "is_active": true,
      "params": {
        "url": "https://www.tripadvisor.com/Hotel_Review-g60763-d208453-Reviews-Hilton_New_York_Times_Square-New_York_City_New_York.html"
      },
      "module": 132,
      "object": "task"
    }
  ]
}
```