Apify
First met in aicp-c3-basecamp-03 · Scraping & data sources · Marketplaces & directories
ApifyFirst met in aicp-c3-basecamp-03 · Scraping & data sources · Marketplaces & directories
An app store for scrapers — prebuilt, maintained actors for LinkedIn, Instagram, YouTube and hundreds of other platforms.
The target is a major platform someone has already solved — buying the maintained scraper beats writing one that breaks.
Platform-specific scrapers that survive the sites' defences, maintained by their authors
Free credits to try before committing
The trainer's explicit choice over DIY for LinkedIn
Runs prebuilt scrapers for named platforms and returns structured data
Handles the platform-specific anti-bot work for you
Doesn't do arbitrary pages as cleanly as Firecrawl
Doesn't solve geo-blocking alone — pair with proxies for LinkedIn
Platform data extraction where the maintenance burden of DIY is the real cost.
Scraping & data sources · Marketplaces & directories
No social-platform data in scope.
None currently.
current
firecrawl: general pages vs platform-specific feeds
bright-data: geo-proxies for the harder targets
| Session | Coverage | Moment | What happened |
|---|---|---|---|
| Session 6: Building an AI-Powered Lead Gen Machine | demonstrated | 1:47:51 | Profile-posts-scraper actor for LinkedIn (no cookies, URL input): run-actor → dataset-ID → get-dataset-items (native n8n node, learner-suggested); ~50 posts fetched |
| Session 17: Facebook Ads Competitor Research & Replication | demonstrated | 2:08:20 | Official Facebook Ads Scraper actor (~29k users), free plan; called via API from an n8n HTTP node using a ChatGPT-generated curl |
| Session 19: Content Strategy Pipeline — the YouTube Growth Stack, Built by an Agent Team of Chats | demonstrated | YouTube Scraper actor (100k users); actors-as-APIs explained; agent-invented approval gate for paid runs | |
| Basecamp 4: Introduction to n8n — II | explained | 2:58:23 | 'App store for APIs' — LinkedIn/Instagram/YouTube scrapers with free credits; pair with geo-proxies for LinkedIn |
| Session 2: How to Plan, Scope and Sell your AI Projects | explained | 1:20:04 | The scraping layer in the lead-qual design (LinkedIn lead + company profiles, websites); also the ToS-safe answer to 'is scraping LinkedIn legal?' — 'not legal; use Apify or another account' |
| AI Sprint: Windsurf & Devin — Day 2 (Building Superplexity: Plan with Opus, Execute with Cascade, Review with Devin) | explained | The Twitter access lane vs the $200/month X API; budget-gated, on-demand only | |
| Basecamp 3: Introduction to n8n — I | mentioned | 3:00:53 | Trainer's choice for LinkedIn scraping instead of DIY |
| Session 5: Mastering Lead Generation | mentioned | 2:43:07 | Confirmed as a Google Maps scraping alternative |
| Session 9: Introduction to Cursor & its principles | mentioned | 0:49:59 | The credit-burner whose Reddit complaint thread led him to YT-DLP |
| Session 14: Claude Code — Advanced Workflows | mentioned | 1:23:29 | Cited as marketplace precedent in the scraping-legality gray-area answer |
| AI Sprint: The Hermes Agent — Day 1 (Always-On Agents, the Employee-on-Day-One System, and the Self-Improving Ghostwriter) | mentioned | The comparison point Scrape Creators replaces ('I'd have to remember which scraper is which') | |
| AI Sprint: The Hermes Agent — Day 2 (Loop Engineering: the Scheduling Loop, the Delegation Loop, and the Skill Auditor) | mentioned | Comparison point carried over from Day 1 |