Skill Store 33

Analyzing Competitor Twitter Profile Content

Extracts and analyzes tweet history from competitor or brand Twitter profiles using apidojo's Twi…

by apidojo-io · Apache-2.0

The skill

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.

Analyzing Competitor Twitter Profile Content

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)

# 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

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.

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

Classification

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

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.

Use this skill

Connect your agent to the Skill Store MCP server and ask for it by ref: apidojo-io/analyzing-competitor-twitter-profile-content-3287084932.

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Details

Publisher
apidojo-io
Category
Business › Social media & video content
License
Apache-2.0
Updated
2026-05-14

References

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