Lead Scraping Masterclass: Scrape, Enrich, Build Lead Lists

In this lecture you'll learn how to build apps with Cursor even if you've never written code, including:

- The GPOC prompting framework for writing app prompts (Goal, Process, Output, Credentials)

- How to use Plan Mode with a top model to generate your app

- How to run your app on a local server and test it

- How to debug errors using the WAPI framework

- How to push your code to GitHub and deploy it

By the end you'll have a repeatable system for building any lead gen tool with AI.

In this lecture you'll build a working Clutch scraper from scratch with Cursor that:

- Scrapes B2B agencies from any Clutch search, filtered by location and service

- Pulls company name, website, location, and every other available data point

- Handles pagination automatically to scrape every page of results

- Outputs everything as a clean CSV of companies

By the end you'll have your own Clutch scraper pulling B2B agency lead lists for free.

In this lecture you'll build a scraper that finds recently funded companies without relying on databases like Crunchbase or Apollo, where you'll:

- Use Perplexity to design the scraping logic and find the right sources

- Catch companies right after they get funded, before they announce it publicly

- Set it up to run in the background and surface new funded companies automatically

- Push the results into a Clay table for qualification and enrichment

By the end you'll have a scraper that delivers freshly funded B2B companies on autopilot.

In this lecture you'll build a personalized lead list generator app with Cursor that you can use as a lead magnet in your outbound, where you'll:

- See why a tangible lead magnet outperforms generic free demo offers

- Build an app that generates a personalized lead list for any prospect

- Produce ready to send lists like 100 verified emails of a prospect's ideal clients

- Turn the tool into a free offer that gets cold prospects to reply

By the end you'll have an app that creates personalized lead lists you can give away to book more calls.

In this lecture you'll build a high intent lead scraping workflow with Cursor that runs daily and:

- Scrapes companies from multiple sources like Product Hunt, Wellfound, Indeed, and TopStartups

- Detects buying signals such as product launches, hiring, funding, news, and acquisitions

- Enriches the basic data points using Perplexity

- Pushes the results into a Clay table or Google Sheet automatically

- Deploys to the cloud so it runs on a schedule without your laptop running

By the end you'll have an automated workflow that delivers high intent companies to you every day.

In this lecture you'll get an overview of the full Clay lead list building system that the next several lectures cover, including:

- How to build highly intent, segmented, and targeted lead lists

- How to score and enrich your leads

- How to save Clay credits and get the most ROI from the platform

- How to use AI agents for high level, relevant personalization at scale

- How to automate your entire lead list building process

By the end you'll understand the complete system you're about to build inside Clay.

In this lecture you'll cover the fundamentals of Clay so you can navigate the platform with confidence, including:

- A full walkthrough of the Clay interface and where every feature lives

- How Clay tables, formulas, and enrichments work

- How to qualify leads inside Clay

- Clay's real use cases beyond the surface level theory

- How the Clay pricing model works

By the end you'll know the core Clay features well enough to start building your first lead list.

In this lecture you'll work through the first hands-on assignment by building a complete lead list for a specific service, goal, and ICP, and following the full solution step by step on Clay. By the end you'll know how to apply Clay's core features to build a targeted, personalized lead list of your own.

In this lecture you'll go deeper into Clay to source and enrich leads at scale, including:

- How to source high quality leads and segment them

- How to enrich leads and find verified emails

- How to run waterfall email enrichment for higher match rates

- How to qualify leads against your ICP at scale using AI

- How to personalize leads using AI agents

By the end you'll be able to turn a raw audience into an enriched, qualified, personalized lead list.

In this lecture you'll follow the full solution to the second assignment as a complete, highly personalized lead list is built from scratch on Clay for a specific service, goal, and ICP. By the end you'll see exactly how high level personalization is applied at scale so you can repeat it on your own lists.

In this lecture you'll continue the Phase 2 build, picking up where the previous lecture left off to finish sourcing, enriching, qualifying, and personalizing your leads at scale inside Clay. By the end you'll have completed the full advanced enrichment workflow on a real lead list.

In this lecture you'll cover the advanced Clay features that complete your lead list system, including:

- How to use HTTP API calls and webhooks inside Clay and when you need them

- How to save Clay credits and build lead lists at the lowest possible cost

- How to use AI agents for advanced lead research and personalization

- How to use table lookups and score your leads

By the end you'll be able to build high intent, personalized lead lists in Clay while keeping your costs low.

In this lecture you'll watch a real client campaign get rebuilt from scratch, from ideation to a launched campaign on Smartlead, where you'll see how to:

- Start from a real B2B SaaS client's ICP and qualification criteria

- Build a targeted lead list of verified decision maker emails

- Feed past sequences and their stats into AI to learn what worked and what didn't

- Rebuild the sequences and launch the campaign

By the end you'll understand how a full client lead list and campaign comes together end to end.

In this lecture you'll see a full demo of a locally hosted app, built with Cursor, that replaces Clay for free and:

- Researches and qualifies your entire lead list against your ICP criteria

- Finds and verifies emails without any external paid API

- Generates custom personalization variables and full AI written emails locally

- Runs entirely on your own machine using open source models

By the end you'll understand exactly what the app does and why it can replace Clay at no cost.

In this lecture you'll set up the Lead Researcher App on your own machine completely for free by:

- Installing the three free prerequisites: Python, Node.js, and Ollama

- Downloading and unzipping the app from the resources folder

- Setting up Ollama and the open source models locally

- Starting the backend and frontend so the app runs on your system

By the end you'll have your own free Clay alternative running locally and ready to research leads.