Export mentions to CSV
Download a feed's mentions, or a hand-picked selection, as a CSV file for spreadsheets and reports. Free on the Pro plan, no credits used.
Last updated
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.
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.
Export a feed
Open All mentions or a saved feed and set the filters you want, such as platform, Fit Score or intent.
Click the download icon (Export Mentions to CSV) in the top bar.
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.
Check Filters applied and the mention count, then click Download CSV.
If no mentions match, nothing downloads and you see a message instead. Archived mentions are not exported.
Export selected mentions
Tick mentions in a feed's table view or on 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
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, 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
- 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
- Feeds: set the filters an export uses.
- Analytics: charts instead of raw rows.
- Plans and billing: compare Starter and Pro.
Analytics
Check weekly listening health on the Dashboard, track trends on the Analytics overview, and build saved reports with your own metrics and filters.
GTM tools
Pull a LinkedIn person's posts or comments, or collect everyone who commented on or reacted to a post, as a CSV. Inputs, limits and credit costs.