Brand Mention Tracker - Who Is Posting About You

"Somebody with 200,000 followers posted about us and we found out from a customer."

Mentions surface once and scroll away, and nobody on your team is watching the feed at the moment it matters. When creators or high-reach accounts post about a brand without tagging the handle directly, marketing teams miss high-converting engagement windows.

Track daily mention volume, major accounts driving posts, and category share of voice before the momentum dies.

⬇️ Input

The actor accepts a JSON configuration object specifying the target brand name or keyword.

Field	Type	Required	Description	Default
brandName	String	Yes	Brand name (e.g. nike) or keyword to track.	"nike"
maxMentions	Integer	Yes	Maximum number of recent brand mentions to collect (1 to 100).	20
proxyConfiguration	Object	No	Proxy settings for request routing. By default uses Apify Proxy.	{"useApifyProxy": true}

Input Example

{
  "brandName": "nike",
  "maxMentions": 20
}

⬆️ Output

Mention records are saved to the default dataset with sentiment indicators and permanent mention keys.

Field	Type	Description
mentionId	String	Permanent brand mention identifier string (e.g. "mention_nike_101"). Stable per-row key.
brandName	String	Tracked brand name or keyword.
authorHandle	String	Social media handle of the authoring account.
authorFollowerCount	Integer	Follower count of the mentioning author.
platform	String	Platform origin ("instagram", "tiktok", "youtube", "x").
postUrl	String	Canonical URL of the post containing the brand mention.
mentionText	String	Full post text or excerpt containing the brand mention.
mentionsPerDay	Integer	Calculated daily mention rate for the brand.
sentimentMix	String	Sentiment classification ("positive", "neutral", "negative").
shareOfVoice	Number	Percentage share of category mentions.
postedAt	String	ISO 8601 publication timestamp of the post.
scrapedAt	String	ISO 8601 timestamp of data collection.

Worked Output Example

{
  "mentionId": "mention_nike_101",
  "brandName": "nike",
  "authorHandle": "tech_reviewer",
  "authorFollowerCount": 210000,
  "platform": "youtube",
  "postUrl": "https://www.youtube.com/watch?v=sample123",
  "mentionText": "Reviewing the new apparel release from Nike this week.",
  "mentionsPerDay": 45,
  "sentimentMix": "positive",
  "shareOfVoice": 42.5,
  "postedAt": "2026-08-04T18:00:00.000Z",
  "scrapedAt": "2026-08-05T17:20:00.000Z"
}

How it works

1. Mention Search Execution: Searches social media data streams for specified brand keywords and handle tags.
2. Author & Reach Analysis: Extracts author follower metrics to quantify reach impact.
3. Sentiment & Share Calculation: Computes sentiment mix and category share of voice percentages.
4. Structured Output Storage: Emits completed records with permanent mentionId keys to the default dataset.

❓ FAQ

How is sentiment evaluated?

Mention text is parsed against sentiment classification models to categorize posts into positive, neutral, or negative sentiment mix.

Does this actor require residential proxies?

By default, the actor utilizes Apify Proxy to manage IP rotation and maintain continuous uptime.

💬 Your feedback

For custom keyword rulesets, category share calculations, or dataset inquiries, contact reapx at reapxdev@proton.me.

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