# Export mentions to CSV (https://snitchfeed.com/docs/features/csv-export)

**CSV export** downloads your mentions as a spreadsheet file. Export everything that matches a feed's filters, or only the mentions you pick. Use it for reports, account lists or sharing with people who do not use SnitchFeed.

<Callout type="info" title="Pro plan">
  CSV export is on the Pro plan and costs no credits, however many rows you
  export. On other plans the export button opens the upgrade dialog.
</Callout>

## Export a feed [#export-a-feed]

<Steps>
  <Step>
    Open **All mentions** or a saved [feed](/docs/feeds) and set the filters you want, such as platform, Fit Score or intent.
  </Step>
  <Step>
    Click the download icon (**Export Mentions to CSV**) in the top bar.
  </Step>
  <Step>
    Pick the **from** and **to** dates the mentions were posted. You can go back as far as your plan keeps data: 3 months on Starter, 6 months on Pro.
  </Step>
  <Step>
    Check **Filters applied** and the mention count, then click **Download CSV**.
  </Step>
</Steps>

If no mentions match, nothing downloads and you see a message instead. Archived mentions are not exported.

## Export selected mentions [#export-selected-mentions]

Tick mentions in a feed's table view or on [Opportunities](/docs/features/opportunities), then click **Export to CSV** in the selection bar. The file holds exactly what you picked, whatever the date range.

## What the file contains [#what-the-file-contains]

One row per mention.

| Column | Contents |
| --- | --- |
| `id` | The mention's ID |
| `listenerId`, `listenerName` | The listener that found it |
| `platform` | `reddit`, `twitter`, `linkedin`, `bluesky` or `hackernews` |
| `datePosted` | When the post was published, in UTC |
| `relevanceScore` | How relevant the AI judged the post, from 0 to 1. This is one part of [Fit Score](/docs/fit-score), not the Fit Score itself. |
| `sentimentScore` | Sentiment score from 0 to 1 |
| `aiIntentSummary` | The AI summary of the mention |
| `redditContentType`, `redditPostTitle`, `redditPostBody`, `redditComment` | Reddit post or comment text |
| `twitterContent`, `linkedinContent`, `blueskyContent` | Post text for X, LinkedIn and Bluesky |
| `tags` | Tags from an older version of the AI analysis, usually empty now |
| `url` | Link to the post or comment |
| `keywords` | The keywords that matched |
| `author`, `authorUrl` | The author and a link to their profile |
| `language` | The detected language |

Hacker News mentions are included, but the file has no Hacker News text column, and their `url` and `authorUrl` are empty.

## Ideas [#ideas]

- **Account lists.** Export a week of High Fit Score mentions and match them against your target accounts.
- **Investor or board updates.** Export a quarter of brand, category and competitor mentions and note what changed.
- **Launch reviews.** Set a tight date range around a launch and share the file with your team.

## Next steps [#next-steps]

- [Feeds](/docs/feeds): set the filters an export uses.
- [Analytics](/docs/features/analytics): charts instead of raw rows.
- [Plans and billing](/docs/workspace/plans-and-billing): compare Starter and Pro.