Need to Automatically Extract Structured Data from Websites — AI Models Not Working Reliably

OKKO

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Hi all,

I'm looking for advice on how to automatically collect up-to-date structured data from websites based on specific parameters.

✅ What I need:​

I want a solution that:
  • Visits a target URL;
  • Extracts specific fields (like license info, payment methods, supported languages, etc.);
  • Outputs the data in a structured format (e.g., TSV or directly to Google Sheets);
  • Works in an automated or semi-automated way.

What I’ve tried:​

I explored multiple approaches, including AI models like Gemini and ChatGPT (GPT-4 / GPT-4o with Browse). Here’s what I ran into:
  • AI models work with cached data — they often return information from 2023, even when I specifically ask for current data.
  • Even with browsing enabled, AI struggles to extract structured fields from websites. Most of the time, they:
    • Fail to access dynamically loaded content (JavaScript-heavy blocks);
    • Miss data inside tabs, modals, or expanding sections;
    • Can't parse full T&C documents or extract deep info (like withdrawal limits per user level);
    • Are inconsistent — sometimes they give good results, sometimes barely anything.
I tried adjusting model temperature, prompt structure, and formatting — no stable results so far.

What else I explored:​

Together with an assistant, we brainstormed and tested various technical options:

  • ✅ Google Sheets + Apps Script — too limited; failed to parse structured data from raw input.
  • ✅ Manual copy-paste + prompt to structure in AI — works, but it's slow and still requires site-by-site manual effort.
  • ✅ Puppeteer / Playwright parsers — promising but require writing custom selectors per site (not scalable without templates).
  • ✅ Thunderbit, Octoparse, ParseHub — useful, but either require credit-based plans or don't fully adapt to dynamic pages without tweaking.

The problem:​

What I really want is a hybrid solution — something that uses AI to adaptively read any website and extract structured fields, ideally in an automated fashion.

But no combination of tools seems to offer that fully:

  • AI models are too shallow or outdated.
  • Parsers require manual setup for each structure.
  • Off-the-shelf tools are either limited or need too much handholding.

❓What I’m asking:​

Is anyone here using a working system for real-time, structured web data collection — especially one that can handle JS-heavy pages and output to Google Sheets or CSV?

I’d appreciate:

  • Tool recommendations;
  • Working setups you’ve implemented;
  • Scripts or APIs that do something similar;
  • Or a smart combo of tools (even semi-automated).
Thanks in advance to anyone who can share advice, links, or solutions!
 
If manual copy and paste works why don't you just load the site in a headless browser and then pass the rendered code to the LLM of your choice to parse it?
 
Sorry this is not an llms job, you need to write a python a code for this using apis and some dependencies that are created for data extraction and analysis.
 
Hi all,

I'm looking for advice on how to automatically collect up-to-date structured data from websites based on specific parameters.

✅ What I need:​

I want a solution that:
  • Visits a target URL;
  • Extracts specific fields (like license info, payment methods, supported languages, etc.);
  • Outputs the data in a structured format (e.g., TSV or directly to Google Sheets);
  • Works in an automated or semi-automated way.

What I’ve tried:​

I explored multiple approaches, including AI models like Gemini and ChatGPT (GPT-4 / GPT-4o with Browse). Here’s what I ran into:
  • AI models work with cached data — they often return information from 2023, even when I specifically ask for current data.
  • Even with browsing enabled, AI struggles to extract structured fields from websites. Most of the time, they:
    • Fail to access dynamically loaded content (JavaScript-heavy blocks);
    • Miss data inside tabs, modals, or expanding sections;
    • Can't parse full T&C documents or extract deep info (like withdrawal limits per user level);
    • Are inconsistent — sometimes they give good results, sometimes barely anything.
I tried adjusting model temperature, prompt structure, and formatting — no stable results so far.

What else I explored:​

Together with an assistant, we brainstormed and tested various technical options:

  • ✅ Google Sheets + Apps Script — too limited; failed to parse structured data from raw input.
  • ✅ Manual copy-paste + prompt to structure in AI — works, but it's slow and still requires site-by-site manual effort.
  • ✅ Puppeteer / Playwright parsers — promising but require writing custom selectors per site (not scalable without templates).
  • ✅ Thunderbit, Octoparse, ParseHub — useful, but either require credit-based plans or don't fully adapt to dynamic pages without tweaking.

The problem:​

What I really want is a hybrid solution — something that uses AI to adaptively read any website and extract structured fields, ideally in an automated fashion.

But no combination of tools seems to offer that fully:

  • AI models are too shallow or outdated.
  • Parsers require manual setup for each structure.
  • Off-the-shelf tools are either limited or need too much handholding.

❓What I’m asking:​

Is anyone here using a working system for real-time, structured web data collection — especially one that can handle JS-heavy pages and output to Google Sheets or CSV?

I’d appreciate:

  • Tool recommendations;
  • Working setups you’ve implemented;
  • Scripts or APIs that do something similar;
  • Or a smart combo of tools (even semi-automated).
Thanks in advance to anyone who can share advice, links, or solutions!
AI alone won’t cut it for reliable scraping. Use Playwright or Puppeteer to handle JS-heavy sites, then feed the raw data to AI for field-matching. For scale, pair with Apify or Bright Data to automate runs and export to Google Sheets or CSV.
 
I'm looking for advice on how to automatically collect up-to-date structured data from websites based on specific parameters.

The CyberSEO Pro plugin for WordPress can do it.
 
Before feeding the LLM the data make sure to convert the HTML content to Markdown for best results. Some LLMs work better with XML.
 
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