Find Twitter / X Influencers by Niche 🎯 Micro + Engagement
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Find Twitter / X Influencers by Niche 🎯 Micro + Engagement
Twitter / X influencer discovery: find influencers and micro-influencers by niche, ranked by real engagement — not follower count. Build an outreach-ready list of creators and KOLs with engagement metrics, contact emails, and recent posts. No login, no browser.
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Yakugusa Yumitori
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Find Twitter / X Influencers by Niche 🎯
Find the creators who actually move a niche on X (Twitter) — ranked by real engagement, not vanity follower counts — and get an outreach-ready shortlist in one run. No login, no account, no browser.
Don't know which accounts to start with? You have three easy ways in:
- ✨ Smart niche — just type any niche in plain words ("vegan cooking", "personal finance", "climate science") and the finder auto-discovers the right seed accounts for you.
- 📂 Niche dropdown — pick from Fitness, AI, Crypto, Startups, Finance, Writing, and more, pre-seeded with expert accounts, in one click.
- ✍️ Custom — enter your own 2–5 seed accounts.
From there the finder maps the creators clustered around those seeds, filters out the brands, applies your follower tier, and pulls each creator's recent posts to compute the engagement metrics that decide a partnership. What you get back is a ranked shortlist of the real influencers in that niche — the specialized micro-creators generic tools never surface.
It's a purpose-built Twitter / X influencer discovery tool: it turns a niche into a ranked influencer list — micro-influencers, nano-influencers, creators, and key opinion leaders (KOLs), the niche accounts worth knowing — each with engagement metrics and contact details ready for outreach.
👀 See a real result
Seeded with three fitness anchors (hubermanlab, PeterAttiaMD, foundmyfitness), ranked by engagement rate — real output, real numbers:
| Creator | Followers | Tier | Engagement | Avg ❤️ | Median views |
|---|---|---|---|---|---|
James DiNicolantonio @drjamesdinic | 211K | Mid | 7.605% | 13,449 | 520K |
Brian Sanders @FoodLiesOrg | 52K | Micro | 7.239% | 2,912 | 174K |
Paul Saladino, MD @paulsaladinomd | 462K | Mid | 2.837% | 10,865 | 1M |
David Sinclair @davidasinclair | 631K | Mid | 2.477% | 12,756 | 1.7M |
Lex Fridman @lexfridman | 5.2M | Mega | 2.306% | 108,087 | 13.5M |
James Clear @JamesClear | 1.3M | Mega | 2.229% | 23,294 | 1.3M |
Dr Jordan B Peterson @jordanbpeterson | 6.2M | Mega | 2.155% | 114,377 | 7.1M |
Joe Rogan @joerogan | 15.6M | Mega | 1.846% | 251,277 | 24.1M |
@drjamesdinic — 211K followers, 7.605% engagement — outperforms accounts hundreds of times its size. That's the creator you want, and it's the one a follower-count search would bury.
🎮 Real example — "warzone streamers"
We typed warzone streamers into Smart niche and sorted by Open to business. In ~30 seconds: 40 creators, every one with a booking contact — agency emails (WME, Paradigm, Underscore Talent), plus their YouTube/Twitch links.

Run this exact example — paste into the input:
{"smartNiche": "warzone streamers","followerTier": "any","minFollowers": 20000,"sortBy": "openToBiz","postsPerInfluencer": 0,"maxInfluencers": 40,"hops": 2}
💡 A note on contact data — aim where the money is. Direct business emails like these are most common in commercial creator niches — gaming, streaming, lifestyle, fashion, beauty, YouTubers, meme/brand pages — where creators are actively growing an audience and want sponsorships, so they list an agency or booking email in their bio. In professional or academic niches (doctors, scientists, economists), creators rarely advertise a business email, so you'll get fewer direct emails and more websites / contact links instead. Either way you still get the creator, their real engagement, and a way to reach them — but if email outreach is the goal, point this at the niches where creators are openly monetizing (gaming, streamers, fitness coaches, fashion/beauty, lifestyle, personal brands) and sort by Open to business.
📉 Follower count is lying to you
We ran this across four niches and the pattern was brutal and consistent — the biggest accounts have the deadest engagement:
| Account | Followers | Engagement rate | Avg ❤️ / post |
|---|---|---|---|
Brian Sanders @FoodLiesOrg | 52K | 7.239% | 2,912 |
Elon Musk @elonmusk | 241M | 1.087% | 2,285,526 |
A 4,673× smaller audience with 6.7× the engagement rate. The creator worth partnering with is almost never the one with the most followers — and this actor is built to surface exactly that. (Based on 150+ accounts analyzed across 4 niches.)
🧰 What you can do — real inputs → real outputs
1 · Find micro-influencers in your niche
Set Follower tier → Micro (10K–100K). Instantly excludes mega-accounts and brands, leaving the on-tier creators with the best ROI:
Seed accounts: hubermanlab, PeterAttiaMD, foundmyfitnessFollower tier: Micro-influencers (10K–100K)
→ returns a clean list of mid-size fitness creators, each engagement-scored.
2 · Rank by pure engagement — surface the hidden gems
Set Rank by → Engagement rate. The creators punching far above their follower weight rise to the top:
Seed accounts: naval, levelsio, awilkinsonRank by: Engagement rate
| Rank | Creator | Followers | Engagement | Avg ❤️ |
|---|---|---|---|---|
| 1 | David Perell @david_perell | 478K | 9.784% | 40,258 |
| 2 | Sahil Bloom @SahilBloom | 1.2M | 9.247% | 91,034 |
| 3 | Pat Walls @thepatwalls | 142K | 6.352% | 8,030 |
| 4 | Brian Chesky @bchesky | 1.3M | 3.422% | 36,293 |
| 5 | Garry Tan @garrytan | 970K | 3.198% | 27,465 |
| 6 | James Clear @JamesClear | 1.3M | 2.472% | 25,534 |
| 7 | Andrew D. Huberman, Ph.D. @hubermanlab | 1.8M | 2.086% | 33,888 |
| 8 | Patrick Collison @patrickc | 1.4M | 1.601% | 18,296 |
3 · Map an entire niche
Set Discovery depth → 2 hops to map the whole neighbourhood, ranked by Influencer Score (centrality × engagement × reach):
| Creator | Followers | Tier | Engagement | Avg ❤️ | Median views |
|---|---|---|---|---|---|
Santiago @svpino | 453K | Mid | 7.073% | 27,933 | 3M |
AK @_akhaliq | 512K | Mid | 3.019% | 13,874 | 1.5M |
François Chollet @fchollet | 708K | Mid | 2.75% | 17,527 | 548K |
Greg Brockman @gdb | 1M | Mega | 2.39% | 21,242 | 4.7M |
Lex Fridman @lexfridman | 5.2M | Mega | 2.306% | 108,087 | 13.5M |
Sam Altman @sama | 5.6M | Mega | 1.659% | 81,418 | 14.3M |
Paul Graham @paulg | 4.2M | Mega | 1.362% | 47,371 | 2.6M |
Soumith Chintala @soumithchintala | 314K | Mid | 0.977% | 2,677 | 584K |
4 · Go nano
Set Follower tier → Nano (1K–10K) to find the small, high-trust creators that are cheapest to work with and convert best — the ones no influencer platform bothers to index.
📦 Every creator comes back outreach-ready
One record per creator — flat metrics for scanning, plus their recent posts and contact links. Real output:
{"rank": 1,"influencerScore": 89.2,"screenName": "david_perell","name": "David Perell","followers": 478017,"nicheConnections": 3,"category": null,"verified": true,"location": "New York, NY","description": "\"The Writing Guy\" | Christian | Host: How I Write Podcast | I tweet about writing, beauty, and architecture | My writing: https://t.co/SOE9HtxXdi","website": "https://linktr.ee/davidperell","profileImage": "https://pbs.twimg.com/profile_images/1759062533078495232/-79hY8EP_400x400.jpg","postsAnalyzed": 14,"avgLikes": 40258.9,"avgRetweets": 5931.1,"medianViews": 2484912,"engagementRate": 9.784,"topPostText": "What's causing all these logos to look the same? https://t.co/DgnNfOV20v…","topPostUrl": "https://x.com/david_perell/status/1545819896004624384","recentPosts": [{"text": "What's causing all these logos to look the same? https://t.co/DgnNfOV20v…","likes": 215211,"views": null},{"text": "When a YouTube commenter comes out of nowhere and absolutely nails it https://t.co/TvSpXXNYk6…","likes": 60166,"views": "2484912"}]}
📇 Contact details, extracted for you. Many creators put a business email and their real website right in their bio — the actor pulls them out into contactEmail, website, and a businessInquiry flag, so your list is ready to reach out to. Real examples from one run: business@teamninja.com, sapnap@night.co, vikkstar@sidemen.com. (No emails are invented — only what a creator has published publicly.)
Two dataset views, one click to switch:
- Influencer shortlist — avatar, rank, score, followers, engagement %, avg likes, median views, niche links, category.
- Outreach list — ready for handoff: handle, name, followers, email, open-to-business flag, website, profile link.
Export to CSV, JSON, or Excel.
⚙️ Inputs
| Field | What it does |
|---|---|
| Seed accounts | 2–5 @handles that define your niche. Better seeds → better shortlist. |
| Follower tier | One-click preset — Nano (1K–10K), Micro (10K–100K), Mid-tier (100K–1M), Any, or Custom. Instantly excludes mega-accounts and brands. |
| Min / Max followers | Used with the Any / Custom tier. The exact band; Max = 0 means no ceiling. |
| Include brands | Off by default — you get people and creators, not corporate pages. |
| Verified only | Keep only verified creators. |
| Rank by | Influencer Score (centrality + engagement + reach), engagement rate, or follower count. |
| Recent posts per creator | Posts to analyze for engagement (default 20). Set 0 for volume mode — thousands of creators, fast, no engagement. |
| Max results | The hard cap on how many creators are returned (default 50, up to 50,000). |
| Discovery depth (hops) | 1 = directly related accounts. 2 (recommended) = the whole neighbourhood. 3 = widest. |
📏 Two speeds: a deep shortlist, or thousands of creators
This actor runs at two speeds — pick with Recent posts per creator:
🔬 Deep mode (posts = 20, the default) — pulls each creator's recent posts and computes full engagement (rate, avg views, top post). Best for a curated, engagement-ranked shortlist of the creators worth reaching out to. Slower per creator, so keep the shortlist focused (tens to low hundreds).
⚡ Volume mode (posts = 0) — skips post analysis and returns thousands of niche creators in seconds, each with followers, bio, verified status, location, and niche-centrality. Best for building a whole niche database or feeding a pipeline. Cheap and fast at scale.
The funnel (what caps your count)
- Discover — expands from your seeds to up to Max accounts to discover (hops controls how far).
- Filter — keeps accounts inside your Follower tier that aren't brands (and verified, if asked).
- Rank — by niche-centrality.
- Return — the top Max results creators.
Your count = whichever is smaller: your Max results cap, or how many creators match your filters.
Want thousands? Here's exactly how
Result count scales with discovery depth (hops) and the number of seeds — each hop expands the graph outward, and each seed opens a new corner of it. These are real, measured numbers (8 diverse seeds, volume mode):
| Discovery depth | Creators returned |
|---|---|
| 2 hops | ~900 |
| 3 hops | ~4,200 |
| 4 hops | 8,000+ (and climbing — a 5th hop would push past 15,000) |
🚀 Maximum-volume recipe — returns thousands upon thousands:
Recent posts per creator: 0 ← volume mode (REQUIRED for big lists)Follower tier: AnyDiscovery depth (hops): 4Max results: 50000Max accounts to discover: 50000Seed accounts: 6–10 diverse, well-chosen accounts
The single biggest lever is more diverse seeds. Two seeds inside one tight niche saturates around 1,500–2,000 (that community only has so many members); 8 diverse seeds at hop 4 returns 8,000+ in about two minutes.
Same starting niche, three settings: 2 seeds / Mid tier / Max results 50 → 50 (capped by your setting). Max results 300 → 141. Volume mode, 8 diverse seeds, 4 hops → 8,286 creators. Bigger list = more seeds + more hops + volume mode.
🎯 Use cases
- Influencer marketing & brand partnerships — a vetted, engagement-ranked shortlist for a niche campaign in minutes.
- Micro & nano-influencer outreach — find and contact high-engagement creators under a follower cap.
- Agency prospecting — map every creator in a client's niche and rank them for pitching.
- Competitive intel — seed with a competitor's ambassadors and see who else lives in that community.
🤖 Use it inside an AI agent or automation
The output is clean, structured JSON — engagement rate, recent posts, and contact links — which makes this a perfect tool step for AI agents (Claude / MCP, LangChain, CrewAI, OpenAI Agents) and no-code automations (n8n, Make, Zapier). On Apify it's callable as an MCP tool, so an agent can run it, reason over the shortlist, and take the next action. Ready-to-build workflows:
📨 Outreach agent — Trigger: a new creator in your niche clears an engagement threshold → Steps: the agent reads their recent posts, drafts a personalized DM that references what they actually post, queues a 3-touch sequence, hands off to you on reply → Output: draft DMs + a CRM status.
🗂️ CRM enrichment — Trigger: new qualifying influencer → Steps: map handle, followers, engagement rate, category, and website/link into your CRM and attach an auto-written outreach brief → Output: an enriched, ready-to-work contact.
📰 "New creators in my niche" digest — Trigger: a scheduled weekly run → Steps: diff this week's shortlist against last week's, keep the new high-engagement creators, write a one-line "why now" for each → Output: a digest posted to Slack or email.
🕵️ Competitor ambassador watch — Trigger: scheduled → Steps: seed with a competitor's known ambassadors, surface the high-engagement creators clustered around them, flag anyone new → Output: an alert + a counter-outreach list.
📄 Auto media kits — Trigger: a creator gets shortlisted → Steps: pull their metrics and top posts into a one-page media-kit template → Output: a shareable brief per creator.
🧑💼 Agency lead-gen — Trigger: on demand for a client niche → Steps: build the shortlist, bucket creators by tier and collaboration type, generate a tailored pitch per bucket → Output: an account-based outreach list with SDR tasks.
Because every record already carries the engagement rate (for qualification), the recent posts (for personalization), and the contact links (for the handoff), the hardest part of each of these — the data — is done before your agent even starts.
❓ FAQ
How do I find micro-influencers on X by niche? Seed a few known accounts in the niche, set Follower tier to Micro (or Nano), and run. You get a ranked list of the micro-influencers in that community with their engagement numbers.
How is engagement rate calculated? Likes + reposts + replies per post, divided by followers, averaged over each creator's recent original posts (retweets and pinned tweets excluded).
Do I need a Twitter / X account or API key? No. No login, no password, no API key. Add seed handles and run.
Why seed accounts instead of a keyword? Seeds define a niche far more precisely than a keyword — they let the finder map the real community, including specialized creators a keyword search would never surface.
Why did I only get 50 results?
50 is the default Max results (maxInfluencers) cap. Raise it (up to 50,000), and for large lists set Recent posts per creator to 0 (volume mode), Discovery depth to 3–4, and use 6–10 diverse seeds. See Two speeds above.
How many creators can it return? Up to 50,000 per run. In volume mode (posts = 0) with several diverse seeds at 4 hops, a single run returns 8,000+ creators in ~2 minutes; the exact number is the smaller of your Max results cap and how many creators match your filters.
Notes
- No login, ever. You never provide an X account or password.
- Lightweight and fast. No headless browser — a typical run finishes in seconds.
- A residential proxy is recommended for larger runs and is used automatically on Apify.
- Engagement is measured over each creator's recent original posts (retweets and pinned tweets excluded), so the numbers reflect typical performance.
🆓 Also from us — free: Pinterest Trends Scraper — trending Pinterest searches, real search volume, seasonality & keyword research. No login, no cost.
Great seeds are everything. Pick a few accounts unmistakably at the center of your niche, and the finder does the rest.