Brand Monitoring

When: User wants to monitor brand mentions, hashtags, or sentiment across social platforms.

Pipeline (run each independently, combine results)

1. Instagram mentions -> apify/instagram-tagged-scraper
   • Key input: username (brand handle)
2. Instagram hashtags -> apify/instagram-hashtag-scraper
   • Key input: hashtags (branded hashtags)
3. X/Twitter mentions -> apidojo/tweet-scraper
   • Key input: searchTerms (brand name, handle, hashtags)
4. Reddit mentions -> trudax/reddit-scraper-lite
   • Key input: searchQuery (brand name)

Output fields

Instagram: caption, likesCount, commentsCount, timestamp, ownerUsername X/Twitter: text, retweetCount, likeCount, replyCount, createdAt, author Reddit: title, body, score, numComments, subreddit, createdAt

Gotcha

This is a parallel workflow, not sequential. Run each Actor independently. Combine results by date for a timeline view.

Twitter/X real-time mention routing

When: User wants to route brand mentions on X to the right team channel - negative to support, positive to wins - with sentiment scoring.

Pipeline

1. Collect tweets -> apidojo/tweet-scraper
   • Key input: searchTerms (brand name + variants), maxItems, since (ISO date for incremental runs)
2. Score sentiment -> tri_angle/social-media-sentiment-analysis-tool
   • Pipe: results[].url -> urls
   • Key input: urls, platforms

Output fields

Step 1: text, author.userName, createdAt, likeCount, retweetCount, url Step 2: sentiment (positive/negative/neutral), score, text, platform

Gotcha

Use since on each run (store last tweet createdAt in Sheets) to avoid reprocessing the same mentions. Without dedup, alerts fire on the same tweet repeatedly.

Reddit brand and topic monitoring

When: User wants weekly surfacing of brand mentions, product feedback, and competitor comparisons from Reddit.

Pipeline

1. Scrape Reddit -> trudax/reddit-scraper-lite
   • Key input: subreddits (target subreddit array), searchTerms (brand + competitor names), maxItems, sort (hot/new/top)

Output fields

Step 1: title, body, subreddit, url, score, numberOfComments, createdAt

Gotcha

Set sort: "new" for monitoring runs; use sort: "top" for periodic digest reports. Mixing both in one run returns inconsistent result sets.

Multi-platform social listening with sentiment

When: User wants a unified brand health view across Instagram, Facebook, TikTok, and Twitter simultaneously.

Pipeline (run in parallel)

1. Instagram -> apify/instagram-search-scraper
   • Key input: searchTerms (brand variants), maxItems
2. Facebook -> apify/facebook-search-scraper
   • Key input: searchTerms, maxItems
3. TikTok -> clockworks/tiktok-user-search-scraper
   • Key input: searchTerms, maxItems
4. Twitter -> apidojo/tweet-scraper
   • Key input: searchTerms, maxItems
5. Sentiment scoring -> tri_angle/social-media-sentiment-analysis-tool
   • Pipe: merged post URLs from steps 1-4 -> urls
   • Key input: urls, platforms

Output fields

Steps 1-4 (normalized): text, platform, author, timestamp, engagementCount Step 5: sentiment, score, text, platform

Sentiment analysis

When: User wants sentiment scoring on collected mentions.

Pipeline

1. Collect mentions (use any step from above)
2. Analyze sentiment -> tri_angle/social-media-sentiment-analysis-tool
   • Pipe: collected post URLs -> urls
   • Key input: urls, platforms

Output fields

Step 2: sentiment (positive/negative/neutral), score, text, platform