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.
Three simple steps to get Scrapely setup.
Scrape competitors, thought leaders, and podcasters followers and filter them by your ICP in 10 minutes.
Write your DM template once and let Scrapely fill in the variables with real context.
Your AI setter qualifies every reply, handles objections, and books directly to your calendar. You wake up to meetings already scheduled with interested buyers.
Three steps. Zero manual work. Every morning you check your calendar and there are meetings already booked.
Your best prospects are on Twitter. You reach the same prospects who ignore cold emails and LinkedIn connections.
LinkedIn Sales Navigator can't target 'people who follow @semrush.' Twitter's follower graph is the only place this intent data exists.
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.
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.
A sample of what's actually happening in customer campaigns right now.
“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.”
“One qualified lead per 100 DMs sent.”
“Closed a 9-figure Ecommerce brand for a $2.5K/month retainer with cold DMs.”
“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.
The intelligence layer that makes Twitter outbound actually work at scale.
Write your DM template once and let Scrapely fill the variables for every prospect.
Scrapely's infrastructure is built for scale while keeping your accounts safe from bans.
Every reply that lands in your inbox gets qualified, handled, and booked by an AI setter trained on your offer.
Most teams use the Unlimited tier for maximum flexibility.
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.
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.
Twitter followers are the richest intent-signaling B2B data on the internet. Scrapely is how you work them.