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

# Export Competitor Interactions

> Your entire competitor-interaction history in one response

Your workspace's **entire** competitor-interaction history, in one response, for analysis outside Clustr.

It takes no filters and no pagination, deliberately: the result means the same thing every time it is called, regardless of how anyone had the app's table narrowed. The exclusions that are properties of the data rather than of a view still apply — dismissed people, the competitor's own staff, and advisory/investor targets — and rows are deduped on (actor, target, type, post), so there is one row per real interaction. Sorted newest-first.

<Warning>
  This is a bulk export and can be large and slow. If you want a subset, use [the filtered feed](/api-reference/list-competitor-interactions) with a `from`/`to` window instead.
</Warning>

`truncated` is `true` when your history exceeded the server ceiling, so you can say so rather than silently hand on a short file.

<RequestExample>
  ```bash cURL theme={null}
  curl https://api.clustr-ai.com/api/public/competitor-interactions/export \
    -H "Authorization: Bearer YOUR_API_KEY"
  ```

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

  requests.get(
      "https://api.clustr-ai.com/api/public/competitor-interactions/export",
      headers={"Authorization": "Bearer YOUR_API_KEY"},
      timeout=120,
  )
  ```

  ```javascript JavaScript theme={null}
  await fetch("https://api.clustr-ai.com/api/public/competitor-interactions/export", {
    headers: { Authorization: "Bearer YOUR_API_KEY" },
  });
  ```
</RequestExample>

<ResponseExample>
  ```json 200 theme={null}
  {
    "success": true,
    "data": {
      "interactions": [
        {
          "competitor_id": "c1a2b3c4-d5e6-7890-abcd-ef1234567890",
          "competitor_name": "Globex Inc",
          "rep_name": "Samir Khoury",
          "rep_title": "Enterprise AE",
          "target_name": "Dana Patel",
          "target_company_name": "Northwind Trading",
          "interaction_type": "comment",
          "engagement_at": "2026-07-28T14:02:11Z",
          "post_url": "https://www.linkedin.com/feed/update/urn:li:activity:7212345678901234567"
        }
      ],
      "count": 4128,
      "truncated": false
    }
  }
  ```
</ResponseExample>