AI Data Scraping & Reporting Automation

Turn scattered web and internal data into clean reports — automatically, on the schedule you choose.

Example Workflow

Scheduled Trigger → AI Scrapes/Collects Data → Cleans & Structures Data → Report Generated → Delivered to Slack/Sheets

What It Does

• Scrapes and collects data from specified web sources or internal tools
• Cleans and structures raw data automatically
• Generates readable reports and dashboards
• Delivers reports on a schedule to Slack, Sheets, or email

How It Works

1. Automation runs on a schedule (daily, weekly, etc.)
2. Data is collected from the sources you specify
3. AI cleans, structures, and summarizes the findings
4. A formatted report is delivered to your chosen channel

Tools & Integrations Required

• Google Sheets or a database
• OpenAI (data summarization)
• Slack or email (delivery)

What's Included

• Full scraping/collection pipeline for defined sources
• Data cleaning and structuring logic
• Scheduled report delivery
• 30-day setup support

Setup

Define your data sources and reporting cadence, and the pipeline goes live — typically 3–5 business days.

Expected Time Saved

5–10 hours per week previously spent manually pulling and formatting data.

Who It's For

• Marketing and analytics teams
• Agencies tracking competitor or market data
• Operations teams needing recurring reports

FAQ

Can it scrape any website? Sources are reviewed during setup to ensure reliable, compliant collection.

How often can reports run? Any schedule you choose — daily, weekly, or on-demand.