# List URL Subscriptions

## Overview

The List URL Subscription data report shows URLs that have been scraped into the Response Library. This eliminates the need for you to keep track of previously scraped URLS in a separate program like Google Sheets. &#x20;

To locate this report, please follow the steps below:&#x20;

1. Login to the Satisfi Labs Dashboard
2. In the menu bar on the left, select **Tools** and then **Data**
3. Locate the report named **List URL Subscriptions**
4. Select either to **View** or **Download** the report

{% hint style="warning" %}
If you don't see this report, please [submit a request here](https://satisfi-labs.atlassian.net/servicedesk/customer/portal/10).&#x20;

Please note that there are no automated refresh intervals for scraped data. At this time, admins will need to rescrape the page in order to refresh the data.&#x20;
{% endhint %}

## Report Field Descriptions

<table><thead><tr><th width="324">Column Name</th><th>Field Descriptions</th></tr></thead><tbody><tr><td>Company ID</td><td>Your company's ID</td></tr><tr><td>Domain Name</td><td>URL domain the scraped data is from</td></tr><tr><td>URL Name</td><td>Matches Response name</td></tr><tr><td>Language Code</td><td>Language</td></tr><tr><td>URL</td><td>URL link</td></tr><tr><td>Word Count</td><td>Total number of words scraped</td></tr><tr><td>Volume ID</td><td>Volume where scraped data resides</td></tr><tr><td>Channel ID</td><td>Channel where scraped data resides</td></tr><tr><td>Response Name</td><td>Response Name</td></tr><tr><td>Extraction Date/Time</td><td>Last time/date of refresh</td></tr></tbody></table>


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.satisfilabs.com/resource-center/ai-agent-engine/reporting-and-analytics/data-reports/list-url-subscriptions.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
