> ## 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.

# Update Settings

> Configure Naukri Jobs Scraper settings

Configure your **Naukri Jobs Scraper** squid settings.

## Headers

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

<ParamField header="Content-Type" type="string" required>
  Must be application/json. Value: `application/json`
</ParamField>

## Squid Parameters

| Parameter                      | Type    | Default   | Description                                                                                          |
| ------------------------------ | ------- | --------- | ---------------------------------------------------------------------------------------------------- |
| keyword                        | string  | —         | Job title, skill or company to search for (used when no task URL)                                    |
| location                       | string  | —         | City or region to search in, e.g. 'bangalore'                                                        |
| experience                     | string  | Any       | Years of experience filter. '0' means fresher                                                        |
| salary\_range                  | string  | Any       | Yearly package band filter                                                                           |
| job\_type                      | string  | Any       | Company Jobs or Recruiter Jobs                                                                       |
| work\_mode                     | string  | Any       | Work from office, Hybrid, or Remote                                                                  |
| date\_posted                   | string  | Any time  | Only return jobs posted within this window                                                           |
| sort\_by                       | string  | Relevance | Relevance or Date posted                                                                             |
| max\_results                   | integer | 1000      | Max jobs per search                                                                                  |
| max\_unique\_results\_per\_run | integer | —         | Max unique results across all tasks in the run                                                       |
| fetch\_since                   | string  | —         | Only collect jobs posted after this threshold                                                        |
| fetch\_since\_timezone         | string  | —         | Timezone for fetch\_since (e.g. Asia/Kolkata)                                                        |
| job\_details                   | boolean | false     | Open each job posting to collect full description, applicant and view counts, education requirements |

<Note>
  Setting `job_details: true` enables additional detail fields in results.
</Note>

## Code Examples

<CodeGroup>
  ```bash cURL theme={null}
  curl -X POST https://api.lobstr.io/v1/squids/28ca7564a332a081a1dabda552d5c35b \
    -H "Authorization: Token YOUR_API_KEY" \
    -H "Content-Type: application/json" \
    -d '{
      "keyword": "python developer",
      "location": "bangalore",
      "experience": "3",
      "work_mode": "Hybrid",
      "job_details": true,
      "max_results": 1000
    }'
  ```

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

  response = requests.post(
      "https://api.lobstr.io/v1/squids/28ca7564a332a081a1dabda552d5c35b",
      headers={
          "Authorization": "Token YOUR_API_KEY",
          "Content-Type": "application/json",
      },
      json={
          "keyword": "python developer",
          "location": "bangalore",
          "experience": "3",
          "work_mode": "Hybrid",
          "job_details": True,
          "max_results": 1000,
      },
  )
  print(response.json())
  ```
</CodeGroup>

## Response

```json 201 theme={null}
{"params": {"keyword": "python developer", "location": "bangalore", "experience": "3", "work_mode": "Hybrid", "job_details": true, "max_results": 1000}}
```