tracking-twitter-thought-leaders
Identifies and tracks thought leaders and key voices in any industry on Twitter/X using apidojo's scrapers. Triggers when the user asks to: find the top voices in an industry on Twitter, identify thought leaders in a niche, discover who has the most influence in a topic area on X, find experts tweeting about a subject, build a list of influencers to engage with on Twitter, track who is gaining followers fastest in a category, or identify key opinion leaders in a field for PR or partnership outreach. Returns name, handle, follower count, engagement rate, bio keywords, and recent top tweets. Ideal for PR teams, community managers, and B2B content marketers.
- Installs
- 798
- Last 24h
- +11
- Trending rank
- #8435
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/apidojo-io/apidojo-skills --skill tracking-twitter-thought-leaders- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads tracking-twitter-thought-leaders automatically when relevant.
- 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.
Tracking Twitter Thought Leaders
Finds Twitter/X accounts with genuine influence in a topic area — not just high follower counts, but accounts whose tweets get shared and discussed. Delivers a ranked list for PR outreach, community engagement, or partnership targeting.
Prerequisites
APIFY_TOKENenvironment variable set- Optional: Apify MCP server installed
Inputs
| Parameter | Type | Required | Default | Notes |
|---|---|---|---|---|
startUrls | array | Optional | [] | Twitter profile or tweet URLs |
twitterHandles | array | Optional | [] | Twitter usernames (without @) |
twitterUserIds | array | Optional | [] | Twitter user IDs |
getFollowers | boolean | Optional | false | Extract follower lists |
getFollowing | boolean | Optional | false | Extract following lists |
getRetweeters | boolean | Optional | false | Extract retweeters of a tweet URL |
includeUnavailableUsers | boolean | Optional | false | Include unavailable/suspended users |
maxItems | number | Optional | Unlimited | Maximum users to return |
customMapFunction | string | Optional | — | JavaScript function to transform each output object |
Workflow
Progress:
- [ ] Step 1: Define topic, industry, and influence criteria
- [ ] Step 2: Search for topic-relevant tweets to find active voices
- [ ] Step 3: Enrich top accounts with profile data
- [ ] Step 4: Score by influence signals
- [ ] Step 5: Deliver ranked thought leader list
Step 1: Clarify Parameters
Ask the user for:
- Topic or industry (e.g., "AI safety", "B2B SaaS growth", "climate tech")
- Influence type — broad reach (high followers), community depth (high engagement), or rising voices (growing fast)
- Follower range (default: 5,000–2,000,000 — excludes unknown accounts and mega-celebrities)
- Geography/language (optional)
- List size (default: 25)
Step 2: Search for Topic Tweets
Find who's actively tweeting about the topic — recent activity matters more than old follower counts.
Recommended — run_actor.js (handles waiting, output, and file saving automatically):
# Quick answer (prints table to chat)
node scripts/run_actor.js \
--actor "apidojo~twitter-user-scraper" \
--input '{"param": "value"}'
# Save as CSV
node scripts/run_actor.js \
--actor "apidojo~twitter-user-scraper" \
--input '{"param": "value"}' \
--output YYYY-MM-DD_results.csv --format csv
# Save as JSON
node scripts/run_actor.js \
--actor "apidojo~twitter-user-scraper" \
--input '{"param": "value"}' \
--output YYYY-MM-DD_results.json --format json
APIFY_TOKENmust be set in environment or.envfile.
If Apify MCP is available:
Tool: apify:run-actor
Actor: "apidojo~tweet-scraper"
Input:
{
"searchTerms": ["[TOPIC_KEYWORD_1]", "[TOPIC_KEYWORD_2]", "[TOPIC_KEYWORD_3]"],
"maxItems": 300,
"tweetLanguage": "en"
}
REST API fallback:
curl -X POST \
"https://api.apify.com/v2/acts/apidojo~tweet-scraper/runs?token=$APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{
"searchTerms": ["[TOPIC_KEYWORD_1]", "[TOPIC_KEYWORD_2]"],
"maxItems": 300
}'
Extract unique author.username values from all results. Sort by their tweet's retweet+like count — accounts whose topic tweets get the most engagement are the most influential voices.
Step 3: Enrich with Profile Data
Take top 100 candidate usernames. Fetch full profiles.
If Apify MCP is available:
Tool: apify:run-actor
Actor: "apidojo~twitter-user-scraper"
Input:
{
"usernames": ["[username1]", "[username2]", "...up to 100"]
}
REST API fallback:
curl -X POST \
"https://api.apify.com/v2/acts/apidojo~twitter-user-scraper/runs?token=$APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{"usernames": ["[username1]", "[username2]"]}'
Step 4: Score by Influence
Calculate composite influence score for each account:
topic_engagement = avg(likes + retweets) on topic-related tweets
audience_quality = followers / following ratio (>1 is healthy)
influence_score = topic_engagement * log(followers) * audience_quality
Filter: keep only accounts within follower range AND whose bio suggests topical relevance.
Step 5: Format Output
Output Format
# Twitter Thought Leaders: [TOPIC/INDUSTRY]
Accounts analyzed: [N] | Final list: [N] | Date: [DATE]
## Top Thought Leaders
| # | Name | @Handle | Followers | Influence Score | Bio Excerpt | Recent Top Tweet |
|---|------|---------|-----------|-----------------|-------------|------------------|
| 1 | [name] | @[handle] | [N] | [score] | [bio] | "[tweet excerpt]" |
## Tier Breakdown
### 🏆 Power Voices (500K+ followers)
[list with brief bio and latest relevant tweet]
### 🎯 Core Influencers (50K–500K followers)
[list — best for outreach: big enough to matter, accessible enough to respond]
### 🌱 Rising Voices (5K–50K followers)
[list — early partnership opportunity, lower cost, high engagement]
## Best Accounts for Direct Outreach
[Top 5 picks with rationale — why they're ideal for PR, partnership, or co-content]
## Content Themes These Voices Tweet About
- [Theme 1]: [N] of the accounts tweet regularly about this
- [Theme 2]: [N] accounts
Troubleshooting
Results dominated by one person: Some topics have one mega-voice. Exclude them and surface the next tier. Not enough topically relevant accounts: Expand keyword list with synonyms, adjacent topic terms, and industry jargon. Follower counts seem off: Cached data — for final list, spot-check top 5 accounts directly on Twitter.
FAQ
What does the tracking-twitter-thought-leaders skill do?
Identifies and tracks thought leaders and key voices in any industry on Twitter/X using apidojo's scrapers. Triggers when the user asks to: find the top voices in an industry on Twitter, identify thought leaders in a niche, discover who has the most influence in a topic area on X, find experts tweeting about a subject, build a list of influencers to engage with on Twitter, track who is gaining followers fastest in a category, or identify key opinion leaders in a field for PR or partnership outreach. Returns name, handle, follower count, engagement rate, bio keywords, and recent top tweets. Ideal for PR teams, community managers, and B2B content marketers.
How do I install tracking-twitter-thought-leaders?
Run npx skills add https://github.com/apidojo-io/apidojo-skills --skill tracking-twitter-thought-leaders 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/tracking-twitter-thought-leaders/ (personal) or .claude/skills/tracking-twitter-thought-leaders/ (project).
Which AI agents can use tracking-twitter-thought-leaders?
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 tracking-twitter-thought-leaders 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 tracking-twitter-thought-leaders?
It is published by apidojo-io in apidojo-io/apidojo-skills. It has 798 recorded installs.
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