New: Scrapely API and MCP Server

Turn Twitter Followers Into Booked Meetings.

Twitter follower lists are the most overlooked intent-signaling B2B data on the internet. Scrapely scrapes, enriches, and personalizes at scale. You wake up to booked meetings.

Works with your stack
Clay
HubSpot
Slack
Zapier
HeyReach
Instantly
EmailBison
01 · scrapetwitter / x
Semrush
Source
@semrush followers
handles scraped309,204
filterb2b saas · founders
ICP matches5,283 leads
5,283 leads enriched ↓
02 · personalizeAI draft · 1.4s
Maya Alvarez
Lead: Maya Alvarez
@maya_alv · Founder @ Benchmark Labs
DM delivered ↓
03 · conversationAI setter
M
Interesting, tell me more.
AI
Two of our customers grew 3x in 90 days. 15 min Tue?
M
Let's book it.
Qualified ↓
04 · bookcall booked
tue
14
may
30-min intro · Maya Alvarez
Tue · 2:30pm PT · Google Meet
How it works

From follower to booked meeting. Fully automated.

Three simple steps to get Scrapely setup.

01· scrape

Mine the follower graph.

Scrape competitors, thought leaders, and podcasters followers and filter them by your ICP in 10 minutes.

Up to 5M followers / accountBio + tweet filtersICP scored
scrape · livesource
run · 14 min
Semrush
Twitter / X handle
@semrushfollowers
Filter logic
bio contains: founder, saaslast tweet < 14 daysexcl: agenciesfollowers 500–50k
filter + icp score
matches312 / 4.82M
@priya_builds
Founder · B2B SaaS · Seattle
matched
@marcus_works
Head of Growth · Fintech · NYC
matched
@jo_agency
Agency · marketing · remote
excluded
@ana_founder
Founder · DevTools · Berlin
matched
@ravi_saas
CEO · HR Tech · Austin
matched
+ 307 more matches
02· personalize & send

AI personalizes your template at scale.

Write your DM template once and let Scrapely fill in the variables with real context.

Trained on millions of DMs
personalize · composerv3 · reddit hook
drafted · 1.4s
AI draft
gpt-4 class
Saw Benchmark Labs is using SemRush for their SEO. We help B2B companies book demos from Reddit so they get recommended in AI search and outperform competitors using traditional SEO. We've helped B2B SaaS companies book 500+ demos through Reddit. Can I send you a doc of what we would do for Benchmark Labs?
sending from your team's accounts
queued
03· ai setter

Replies land on your calendar.

Your AI setter qualifies every reply, handles objections, and books directly to your calendar. You wake up to meetings already scheduled with interested buyers.

24/7 SDR
ai setter · converse@maya_builds
5 msgs · 6h
M
Interesting, tell me more.
AI
Quick context: we set B2B SaaS founders up on Reddit so their demos compound in AI search. Two of our customers grew 3x in 90 days.
M
We already spend on SEMrush and content. Why would this be different?
AI
Different channel, different intent — Reddit buyers are comparing tools actively. For Benchmark Labs your category is hot there. Worth a 15-min walkthrough on Tuesday?
M
Tue 2:30pm works.
qualified · bookedobj. handled: 1
tue
14
may
30-min intro · Maya Alvarez
Benchmark Labs · B2B SaaS
Tue · 2:30pm PT · Google Meet
confirmed

Three steps. Zero manual work. Every morning you check your calendar and there are meetings already booked.

Why Twitter, why now

The channel your competitors can't reach.

Your best prospects are on Twitter. You reach the same prospects who ignore cold emails and LinkedIn connections.

01reason

A targeting dimension nobody else has.

LinkedIn Sales Navigator can't target 'people who follow @semrush.' Twitter's follower graph is the only place this intent data exists.

LinkedIn
LinkedIn Sales Nav
no follower targeting
Apollo
Apollo
No follower targeting
scrapely
Scrapely
follower + tweet targeting
02reason

Your buyers are already there.

Every qualified lead you want to reach is on Twitter. They just don't describe themselves as 'your ICP' in their bio. Scrapely finds them by who they follow, not what they tweet about themselves.

@jasonlk
@jasonlk
@nathanlatka
@nathanlatka
@robwalling
@robwalling
@davegerhardt
@davegerhardt
@Patticus
@Patticus
@randfish
@randfish
@aprildunford
@aprildunford
@levie
@levie
active today
03reason

A channel your competitors aren't working.

Email and LinkedIn are saturated. Your prospects' inboxes are a war zone. Twitter DMs work because almost no B2B team is operating at scale here.

Email94%
LinkedIn87%
Twitter / X20%
Relative channel saturation · B2B outbound
What operators are saying

Real teams. Real numbers. Zero manual work.

A sample of what's actually happening in customer campaigns right now.

Kevin Kuang
Kevin Kuang
Founder
10%Response rate

Even with a tiny account of 150 followers, I got a 10% response rate on my very first cold DM campaign. This tool is crazy effective, fast, and incredibly convenient. I can't be happier with it.

@KevinKuang95
AR
Abdullah
Head of Growth
1 per 100Qualified leads per DMs sent

One qualified lead per 100 DMs sent.

@Abdullah_RRD
EA
Ecommerce email agency
Anonymous — customer reference on request
$2.5K / moRetainer closed from one campaign

Closed a 9-figure Ecommerce brand for a $2.5K/month retainer with cold DMs.

Hendrik Rootering
Hendrik Rootering
COO, Kissmetrics
Better leadsHigher quality than LinkedIn

It's an interesting type of lead that's more enjoyable to talk to than LinkedIn leads.

Three sample campaigns. Dozens more running right now across Ecommerce, SaaS, and B2B GTM teams.

Features

Built for GTM teams scaling outbound on Twitter.

The intelligence layer that makes Twitter outbound actually work at scale.

01· AI personalization

AI fills the variables. You keep the voice.

Write your DM template once and let Scrapely fill the variables for every prospect.

Reads last 10 tweetsScrapes company websitePulls Twitter bio data
The template

Hey [first_name]Maya, saw [company_name]Benchmark Labs is focused on [icp_category]B2B SaaS. We help [icp_category]B2B SaaS companies book demos from Reddit so you can outperform competitors using traditional SEO. Can I send you a doc of what we'd do for [company_name]Benchmark Labs?

SDR accounts
Live
3
SDRs active
45
DMs sent today
jkoperator
@jkoperator14 today
mraith_co
@mraith_co22 today
apaulson
@apaulson 
slconway
@slconway9 today
02· Multi-account infrastructure

Connect all your SDR accounts.

Scrapely's infrastructure is built for scale while keeping your accounts safe from bans.

03· AI setter

Your AI setter books meetings while you sleep.

Every reply that lands in your inbox gets qualified, handled, and booked by an AI setter trained on your offer.

Handles objections with contextTrained on your offer24/7 response coverage
AI setter · Live thread
@maya_builds
M
@maya_builds
Replied · objection raised
Google Calendar
Booked · Google calendar
Tue 2:30pm PT · 30-min intro
Maya Alvarez · Benchmark Labs
Synced to HubSpotNotified in #sales
Objection handled
Meeting #18 this week
Pricing

Transparent pricing. No account limits on the plan most teams pick.

Most teams use the Unlimited tier for maximum flexibility.

Solo
$97/ month
1 connected account
14-day free trial
  • 500K lead credits/month
  • Unlimited AI personalization
  • Unified inbox
  • Full API access
Starter
$500/ month
10 connected accounts
  • 100M lead credits/month
  • Unlimited AI personalization
  • Unified inbox
  • AI Setter included
  • Full API access
Growth
$1,500/ month
35 connected accounts
  • 500M lead credits/month
  • Unlimited AI personalization
  • Unified inbox
  • AI Setter included
  • Full API access
  • Email/LinkedIn lead enrichment
Most popular
Unlimited
Custom
Unlimited connected accounts
  • Unlimited lead credits
  • Unlimited AI personalization
  • Unified inbox
  • AI Setter included
  • Full API access
  • Email/LinkedIn lead enrichment
  • Unlimited workspaces
Done for you

Want us to run it for you?

We run managed Twitter outbound engagements for 7-figure GTM teams. Our team manages campaigns and the AI setter on accounts your team provides. We handle strategy and execution, you provide the SDR seats. You get meetings booked to your calendar.

All plans include: no long-term contracts, no setup fees, cancel anytime, email support.

Frequently asked

The questions every operator asks.

Straight answers. No fluff.

We use proxy isolation per account, gradual sending ramps, and warmup periods calibrated to each connected account's age. Account safety depends on running Scrapely correctly with sensible volume limits, which we configure for you during onboarding.

Scrapely runs on custom scraping and messaging infrastructure built specifically for X. That infrastructure is why Twitter outbound works at scale through us and doesn't through a generic tool. Every message is personalized to the recipient's actual situation on X. We operate within standard B2B outbound practice, same as cold email or LinkedIn tools. If you have specific compliance questions for your company's use case, we're happy to address them on a call.

Volume and personalization at scale. Manual Twitter DMs cap out around 30 per day per account if you're writing them yourself. Scrapely runs across 10 to 50 accounts simultaneously, with AI filling your template variables using each prospect's recent tweets and bio. One operator can ship what used to take a 10-person SDR team.

The DMs are indistinguishable from a real founder reaching out because they reference specific context from the prospect's recent tweets. Prospects engage the same way they would with a manual DM. If asked directly, we recommend honesty, most of our customers are transparent that outreach is powered by software once a conversation is underway.

We've been running Scrapely infrastructure through multiple X platform changes including the XChat transition in late 2025. We maintain direct integration with the latest X DM infrastructure and update our stack continuously. Platform risk exists for any outbound channel, Scrapely is built to absorb it rather than break on it.

First replies typically land within 5 to 7 days of campaign launch after account warmup. Meaningful pipeline (qualified meetings booked) usually shows up in weeks 3 to 6 as accounts mature and the AI setter compounds conversations. Our longest-tenured customer scaled from 5 accounts to 25 after 60 days of seeing results.

Yes, via webhooks and our API. Native CRM integrations are on the roadmap, currently we push replies, bookings, and lead data to HubSpot, Salesforce, Attio, Slack, Zapier, n8n, and any other tool that accepts a webhook. Most customers have their full data pipeline wired up within an hour of onboarding.

Self-serve is designed to be operable without engineering, scrape, personalize, send, manage replies, all through our web interface. If you'd rather not touch the tool at all, our Done For You engagement handles everything end-to-end, you just receive meetings on your calendar. Most non-technical teams pick DFY.

Still have questions? Book a 15-minute call to get answers.

Start using Twitter for outbound.

The channel your competitors can't reach.

Twitter followers are the richest intent-signaling B2B data on the internet. Scrapely is how you work them.