analyzing-competitor-twitter-profile-content

Extracts and analyzes tweet history from competitor or brand Twitter profiles using apidojo's Twitter Profile Scraper on Apify. Triggers when the user asks to: get all tweets from a competitor's Twitter account, analyze what a company posts on Twitter, audit a brand's tweet history, track what topics a competitor covers on X, compare Twitter content strategy between brands, extract posts from a company's Twitter timeline, or monitor a competitor's messaging and announcements on Twitter. Returns tweet text, engagement metrics (likes, retweets, replies, views), and author data. Ideal for competitive intelligence teams, PR analysts, and brand strategists.

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Inputs

Parameter	Type	Required	Default	Notes
startUrls	array	Optional	[]	Twitter profile URLs (x.com or twitter.com formats)
twitterHandles	array	Optional	[]	Twitter usernames (without @)
start	string	Optional	—	Tweets after this date (YYYY-MM-DD or YYYY-MM-DD_HH:MM:SS_UTC)
end	string	Optional	—	Tweets before this date (YYYY-MM-DD or YYYY-MM-DD_HH:MM:SS_UTC)
includeNativeRetweets	boolean	Optional	false	Include native retweets in results
onlyImages	boolean	Optional	false	Only tweets containing images
getReplies	boolean	Optional	false	Include tweet replies
minReplyCount	number	Optional	—	Minimum reply count threshold
getAboutData	boolean	Optional	false	Fetch full profile about data
maxItems	number	Optional	Unlimited	Maximum tweets to return
customMapFunction	string	Optional	—	JavaScript function to transform each output object

How to Run

Using run_actor.js (recommended)

bash

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

# Save as CSV
node scripts/run_actor.js --actor "apidojo~twitter-profile-scraper" --input '{"twitterHandles": ["competitor_handle"], "maxItems": 100}' --output results.csv --format csv

# Save as JSON
node scripts/run_actor.js --actor "apidojo~twitter-profile-scraper" --input '{"twitterHandles": ["competitor_handle"], "maxItems": 100}' --output results.json --format json

REST API fallback

bash

curl -X POST "https://api.apify.com/v2/acts/apidojo~twitter-profile-scraper/runs" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"twitterHandles": ["competitor_handle"], "maxItems": 100}'

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

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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

python

score = 0.50 * min(engagement_total / 10000, 1.0) + 0.30 * min(viewCount / 500000, 1.0) + 0.20 * int(has_media)

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Classification

Score	Tier	Label
≥ 0.70	A	HIGH_IMPACT_TWEET
0.40–0.69	B	NOTABLE_TWEET
< 0.40	C	LOW_ENGAGEMENT

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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.