analyzing-competitor-twitter-profile-content

Analyzing Competitor Twitter Profile Content

Inputs

How to Run

Using run_actor.js (recommended)

# Quick answer (table)
node scripts/run_actor.js --actor "apidojo~twitter-profile-scraper" --input '{"twitterHandles": ["competitor_handle"], "maxItems": 100}'
 
# Save as CSV
node

REST API fallback

If Apify MCP is available: Use the Apify MCP call_actor tool with actor apidojo~twitter-profile-scraper and the input above.

Scoring & Ranking

Score each tweet for competitive intelligence value:

• engagement_total = likeCount + retweetCount + replyCount + quoteCount → normalized 0-1 (cap at 10K), weight 0.50
• viewCount → normalized 0-1 (cap at 500K), weight 0.30
• has_media (contains image or video) → 0 or 1, weight 0.20

Classification

Edge Cases

• Private account: Returns 0 tweets. Check if competitor locked their account.
• Minimum 40 tweets: First 40 are included at base pricing. For more, cost is $0.0004/tweet.
• Retweets included: Results include RTs. Filter by checking if text starts with "RT @".
• Date range + few results: Some accounts tweet rarely — widen date range or remove filter.
• Multiple competitors: Run for each handle separately and combine datasets.