Scrape industry growth signals with BrowserAct, OpenRouter, and Slack reports

Scrape industry growth signals from BrowserAct to Slack reports

Introduction

This workflow automates the monitoring of market growth signals, such as funding rounds, for specific target industries. It scrapes data using BrowserAct, uses AI to filter and format the results for the current month, and delivers a consolidated report directly to Slack.

Target Audience

Account-Based Marketing (ABM) managers, sales development representatives (SDRs), and venture capital researchers looking to track competitor or prospect activity.

How it works

1. Scheduling: A Schedule Trigger initiates the workflow once a month to gather recent data. 2. Configuration: A Set node defines the TargetIndustry variable (e.g., "Property Management"), which controls what data acts as a signal. 3. Data Extraction: The BrowserAct node runs the "ABM Signal Monitor" template to scrape raw company data and growth lists from the web. 4. AI Analysis: An AI Agent (powered by OpenRouter/GPT-4o) processes the raw text. It filters companies to ensure they match the target industry and have funding dates within the current month. 5. Data Structuring: The AI formats the valid leads into a structured JSON report, splitting the data if the list exceeds Slack's character limits. 6. Data Splitting: A Split Out node separates the message array into individual items to ensure reliable delivery. 7. Notification: A Slack node posts the curated "Growth Signal Report" to a specified channel.

How to set up