MCPInstall

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.

Installs
793
Last 24h
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Security
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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/apidojo-io/apidojo-skills --skill analyzing-competitor-twitter-profile-content
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads analyzing-competitor-twitter-profile-content automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Analyzing Competitor Twitter Profile Content


Inputs

ParameterTypeRequiredDefaultNotes
startUrlsarrayOptional[]Twitter profile URLs (x.com or twitter.com formats)
twitterHandlesarrayOptional[]Twitter usernames (without @)
startstringOptional—Tweets after this date (YYYY-MM-DD or YYYY-MM-DD_HH:MM:SS_UTC)
endstringOptional—Tweets before this date (YYYY-MM-DD or YYYY-MM-DD_HH:MM:SS_UTC)
includeNativeRetweetsbooleanOptionalfalseInclude native retweets in results
onlyImagesbooleanOptionalfalseOnly tweets containing images
getRepliesbooleanOptionalfalseInclude tweet replies
minReplyCountnumberOptional—Minimum reply count threshold
getAboutDatabooleanOptionalfalseFetch full profile about data
maxItemsnumberOptionalUnlimitedMaximum tweets to return
customMapFunctionstringOptional—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

ScoreTierLabel
≥ 0.70AHIGH_IMPACT_TWEET
0.40–0.69BNOTABLE_TWEET
< 0.40CLOW_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.

FAQ

What does the analyzing-competitor-twitter-profile-content skill do?

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.

How do I install analyzing-competitor-twitter-profile-content?

Run npx skills add https://github.com/apidojo-io/apidojo-skills --skill analyzing-competitor-twitter-profile-content in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/analyzing-competitor-twitter-profile-content/ (personal) or .claude/skills/analyzing-competitor-twitter-profile-content/ (project).

Which AI agents can use analyzing-competitor-twitter-profile-content?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is analyzing-competitor-twitter-profile-content safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains analyzing-competitor-twitter-profile-content?

It is published by apidojo-io in apidojo-io/apidojo-skills. It has 793 recorded installs.

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