Skip Scraping Templates. Let Hexomatic + AI Do the Work
If you’ve done web scraping for a while, you know the routine. Open the page. Find the selectors. Build a scraping template. Test it. Fix it when the layout changes. Then repeat the same process for the next website.
For years that was the only reliable way to extract structured data.
In many cases, you can now skip that entire step using Hexomatic.
The Problem With Scraping Templates
Scraping templates are powerful, but they carry a real cost. Every website has a different structure, every template has to be built manually, and every layout change can break the extraction.
If you’re analyzing 2 to 5 websites, that’s manageable. If you’re researching hundreds, it turns into maintenance work.
The goal of scraping is not building templates. The goal is getting useful data quickly.
The Shortcut Most People Miss
Instead of building a scraping template for every page, you can do something much simpler inside Hexomatic: extract the entire page content first.
That’s exactly what the Get Page Content automation does. It loads the page and returns the main readable content, the same information a human sees when reading it: headings, paragraphs, product descriptions, company details, speaker bios, job listings, article text.
No selectors. No HTML mapping. No template building.
Then Let AI Structure the Information
Once you have the page content, download the CSV and pass that to any AI tool you already use. ChatGPT, Claude, Gemini, whatever model you prefer. Ask it to normalize the information.
Example prompt:
Extract all speakers from this file and return: First Name, Last Name, Company, Role.
The AI reads the content and returns structured data. Modern language models are good at detecting names, identifying companies, understanding context, and restructuring messy text. Instead of manually defining the page structure, you let the model interpret the content.
Why This Is Faster
This approach removes the most time-consuming part of scraping: template engineering.
You no longer need to inspect HTML, locate selectors, rebuild templates for each site, or maintain them when layouts change. You extract the content with Hexomatic, then normalize it with AI. For research tasks, this is often dramatically faster.
When Scraping Templates Still Make Sense
Templates are still the right choice for large structured scraping jobs: pulling thousands of products from e-commerce sites, collecting catalogs with prices, SKUs, and inventory, or monitoring datasets where fields must always match the same structure. In those situations, a scraping template extracts exactly what you need and runs reliably at scale.
The rule is straightforward. Heavy structured scraping: use templates. Research, discovery, and content extraction: use Get Page Content automation + AI.
The Practical Workflow
A simple workflow many teams now use:
Run Get Page Content in Hexomatic. Extract the readable content from each page.
Send the content to your AI tool. Use your preferred model to pull the fields you need.
Normalize the output. Return structured data like names, companies, roles, locations, product features, or pricing information.
No custom scraping templates required.
Still Need a Custom Scraping Template?
If your use case requires a structured template at scale, and you’d rather not build it yourself, that’s what the Hexomatic Concierge Service is for. Share your requirements and we’ll set it up for you.
Not sure which approach fits your data problem? Book a free 15-minute call. Walk us through what you’re trying to extract, and we’ll tell you exactly what you need.
