🔥 Web scraping masterclass & we launched a Slack for our members!


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Hello, happy Tuesday and hope you've recovered after the global Cloudflare outage! ☠️

As part of our mission to educate more people about AI, we’ve got a deep dive and a standout story on going from a corporate job to profitable SaaS.

Before we jump straight in, big news: Due to popular demand we've launched a Slack workspace for Create With Members!

It’s the place to swap ideas, get help fast, and level up together on all things AI.

When you join the community (price increasing soon), don't forget to hit the button 'Join our Slack'.

Let’s jump in…

🔎 Preview: In today's issue

  • 🤔 Why scraping is accessible in 2025
  • 📺 How to decide what to automate
  • 🚀 Google Gemini 3.0 looks spicy 🌶️
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🤓 Explain Like I'm 5

Web Scraping & Web Crawling

Ever wondered how companies track prices across websites or monitor what people say about them online? They use scraping - like having a robot assistant that reads websites for you.

What's the difference?

Crawling is like exploring a library - you walk through every aisle, noting which books exist and where they are. Google does this to discover all pages on the internet.

Scraping is like photocopying specific pages from specific books - you know exactly what information you want and where to find it. You're extracting particular data like prices, reviews, or job listings.

🛠️ Your scraping toolkit

Here's what people actually use to scrape websites today:

ChatGPT / Claude - Best for personal use.

You can use ChatGPT's web search and deep research features to scrape basic information from websites. Just ask it to find and extract what you need - like competitor prices or industry news. Perfect for one-off tasks and exploratory research, though you'll have less granular control over exactly what gets scraped.

But here's the catch: ChatGPT only works when you're actively using it. If you want scraping to happen automatically while you sleep, or need it to run on a schedule, you'll need dedicated tools...

Here's some examples we use

Jina.ai - The Zero-Setup Scraper

This is the easiest way to start playing around with scraping - no API key needed! Just prepend 'https://r.jina.ai/' to any URL you want to scrape. Jina AI For example:

  • Want to scrape createwith.com
  • Just visit: https://r.jina.ai/https://createwith.com

The Reader API extracts the core content from a URL and converts it into clean, LLM-friendly text, perfect for feeding into AI systems. It's free with 20 requests per minute, or 200 with a free API key. Jina AI It even handles PDFs and can caption images automatically.

Others include

Tavily - It's built for finding answers across multiple sources quickly and a handy 500 credits per month free plan for exploring.

Firecrawl - This is your industrial-strength scraper for when you need to extract data regularly and at scale. Handles JavaScript-heavy sites that other tools struggle with.

and our current favourite...

Apify - The Swiss Army Knife

Apify is like having access to hundreds of pre-built scrapers for specific websites. No coding needed - just pick the scraper you want and run it. It' actually a treasure trove for potential products.

Three ways we use Apify right now:

  • X & LinkedIn posts - Track what people are saying about topics or brands and send to our Slack.
  • Meetup events - Monitor events around the globe to keep our events platform rich with feedback.
  • Trustpilot reviews - Keep tabs on customer feedback for products or services and for new product ideas

Why Now? (AI Changed Everything)

Web scraping used to be a developer-only skill because it was incredibly brittle. You'd write code to extract data from specific parts of a webpage, but the moment that site updated its design, your scraper would break. It was like building a house of cards - one small change and everything collapsed.

AI made scraping accessible to everyone because:

🎯 AI understands messy, unstructured text. Feed it raw HTML or markdown from any webpage, and it figures out what's what. A price is a price whether it's in a table, a div, or buried in a paragraph.

🎯 No more breaking when sites update. In the past, if a website moved the price from the top-right to bottom-left, your scraper died. Now AI just reads the whole page and finds prices wherever they are.

🎯 Natural language extraction. Instead of writing code to find specific HTML elements, you just tell AI: "extract all pricing information for competitor analysis" or "find customer complaints about shipping." It understands what you want and delivers it.

🚀 Next steps

  • Start small: Pick one URL and scrape it manually with Jina or Apify to see what you actually get.
  • Define the data: Decide the exact fields you want (price, title, rating, link). If you can’t name them, don’t automate yet.
  • Automate it: Use Zapier, Make, or n8n to run the scrape on a schedule and send results to Sheets/Slack/Notion.

PS...

If you want to learn more about automations (including scraping) we've partnered with 100 School's Agent Bootcamp. All Create With members get 20% off all bootcamps.

Upcoming Create With AI Meetups

Register →
📅 Thu 13 Nov 2025  ·  18:00  · 📍 London  · 👥 50
Register →
📅 Mon 24 Nov 2025  ·  12:00  · 📍 Bangkok  · 👥 50
📅
📅 Thu 11 Dec 2025  ·  15:00  · 📍 Norwich

We wrapped up the Create With London AI Meetup at Ramen Space last week. It was packed and buzzing. We kicked off with intros from cofounders Kieran and James, plus a warm welcome from host Solomon.

Tiberiu Socaci from makeitfuture shared his journey from building automations for his coffee business to an award‑winning global agency, and Tanveer M. delivered a rapid-fire masterclass with 10 live AI tool demos... apps, designs, and websites built live as we watched!

Big thanks to our speakers and to Make for sponsoring as part of the #MakeAIWorldTour. Missed it? More meetups are coming—Bangkok on 24 Nov—join the community at createwith.com/join.

📺 How and WHY businesses should automate their processes

video preview

In this fascinating talk from the Create With AI Amsterdam meetup, automations expert Diederik Martens talks from both a philosophical and a practical viewpoint about business automation.

He gives some real-life examples of automations he uses as well as encouraging viewers to think carefully about what they choose to automate.

▶️ Watch Video

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🔊 On your radar

Keep your finger on the pulse of what we think is hot in the space right now 🔥

📆 Upcoming hackathon shoutout (happy scraping)
🌐 Build AI agents with real‑time scrapers + win Apify’s $1M challenge

plus the usual...

Create Notion pages from templates via API

👉 Why it matters: You can now auto‑create pages using your database templates, not just blank ones. Use the default template or pick a specific template ID, then wait for the webhook event to confirm the content’s applied. Practical win for no‑code automations: consistent structure, fewer manual steps, cleaner data.

Google launches Gemini 3: smarter reasoning, deeper multimodal, and agent actions

👉 Why it matters: Google is rolling out a new model across the Gemini app, Search’s AI Mode, and developer tools. It’s built to reason better, understand text, images and code together, and take actions for you. Plus it includes an IDE (You write code in an app rather than in the browser)...with a generous Individual plan...free.

ChatGPT has group chats

👉 Why it matters: ChatGPT is testing group chats so you can plan and decide together with AI in the same thread. It supports links, search, images and files, and learns when to reply or stay quiet. Memory stays private and isn’t shared into groups. Rolling out on mobile and web in select regions for Free, Go, Plus and Pro users.

🐒 AI in the wild

Fun, interesting, or innovative ways real people use AI in their daily lives and work.

You probably already use AI to summarise meeting notes.

But did you know you can also use AI to turn these notes into your week's schedule?

Create With community member Julia Druck from Serpin has built an AI workflow that transforms her Monday planning meetings into a fully organised calendar...automatically.

Instead of manually reviewing notes and juggling calendar slots, the workflow:

  1. extracts action items from her Google doc
  2. checks her calendar for available time
  3. intelligently schedules tasks into realistic time blocks

It considers meeting context, task priorities, and available windows to create a workable schedule.

Julia can now focus on strategic planning rather than calendar Tetris, using AI to bridge the gap between intention and execution every Monday morning.

🎯 Why this matters

Workflows like this show how AI can eliminate the friction between planning and doing. It helps professionals reclaim time while ensuring nothing falls through the cracks.

How are you using AI in your work? Tell us

We’d love to feature you next.

💭 Final Thoughts

Deploying at 5am? This may be the only option.

See you next week!

With good vibes ✨

The Create With Team

71-75 Shelton Street , London, Greater London WC2H 9JQ
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