Generate LinkedIn activity reports via Slack commands with GPT-4.1 and email
Turn a simple Slack command into a deep-dive intelligence brief by automatically scraping and analyzing a prospect's LinkedIn activity with GPT-4. This workflow identifies key themes and posting patterns, delivering a formatted HTML report directly to your inbox for instant meeting preparation. It's an essential tool for sales and success teams looking to build rapport through data-driven insights.
Run this with your team's AIWhat This Recipe Does
The LinkedIn Intelligence Slack Command transforms how your sales and recruitment teams gather prospect data. Instead of manually searching through profiles and toggling between tabs, team members can trigger a comprehensive background check directly from their Slack workspace. This automation instantly scrapes relevant LinkedIn data, aggregates the findings into a structured format, and delivers a polished summary via Gmail or Slack. By centralizing the research process, your team can prepare for discovery calls and outreach efforts in seconds rather than minutes. This streamlined approach ensures that every interaction is backed by the latest professional insights, allowing your staff to focus on building relationships rather than performing repetitive data entry. It eliminates the friction of context switching and provides a standardized way to distribute lead intelligence across your organization, ultimately increasing the speed and quality of your sales pipeline.
What your team gets
Forms and dashboards, so it is not a script only one person understands
Runs on your schedule in the cloud, so it does not stop when a laptop closes
Endpoints, so the rest of your stack can trigger the same work
Http, BigMailer, Bot for Slack connected for the team, not per person
How It Works
- 1
Open the recipe and connect your accounts
Connect Http and BigMailer once, in your team cloud, and nobody has to do it again on their own machine
- 2
Tell your own agent what is different about your process
Claude, ChatGPT, Cursor, whichever your team already uses. It adapts the recipe to how you actually work
- 3
Run it, then leave it running
It lives in your team cloud, so it keeps going after you close the laptop and every teammate's AI can use it
Who Uses This
- Sales representatives use this to quickly prep for discovery calls by pulling a prospect's latest career milestones directly from Slack.
- Recruiters use this to share candidate summaries with hiring managers instantly, ensuring everyone has the same context before an interview.
- Account managers use this to monitor client stakeholders for role changes or company updates to identify expansion opportunities.
Frequently Asked Questions
Do I need to leave Slack to run this search?
No, the entire process is triggered via a simple Slack slash command, allowing you to stay focused on your primary communication hub.
Can the summary be sent to people outside of Slack?
Yes, the automation is configured to deliver a professional HTML-formatted summary via Gmail, making it easy to share insights with external partners or executives.
Is the data formatted for easy reading?
The workflow includes an HTML aggregation step that organizes raw profile data into a clean, structured report that is easy to scan for key information.
What happens if I need to search for multiple profiles at once?
The automation handles data aggregation efficiently, ensuring that the final output is a consolidated and accurate reflection of the requested profile information.
Coming from n8n?
This recipe uses nodes like Webhook, Aggregate, Langchain.outputParserStructured, Langchain.agent and 7 more. On Runwork, you don't need to learn n8n's workflow syntax. Describe what you want to your own AI agent in plain English.
Based on n8n community workflow. View original
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Run this with the AI your team already uses
Your agent adapts it, your team cloud keeps it running, and everyone's AI can find it.
Open this recipe in Runwork