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Research · Intermediate

# Extract structured catalog data from web pages

Turn messy e-commerce listings and tables into organized tabular data automatically

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Opens BotBento. Paste the prompt into a bot; nothing is preconfigured.

- When you askReceive target URL and fields
- ThenFetch webpage and extract items
- ResultSave records to spreadsheet

Fetch live web pages, strip irrelevant markup into clean text, and extract key entity details such as item names, links, images, and prices directly into an organized spreadsheet.

## Prompt to start with

BotBentoRecommended

```
When the user provides a webpage URL and a set of desired data points, fetch the page content and clean it into readable text. Parse repeating entities such as product names, prices, product links, and image links into structured JSON rows. Review the extracted rows for formatting consistency. Always ask for user approval before writing data to or updating any spreadsheet.
```

Copy

## Tools it uses

BrowserSpreadsheet

## Works with

BotBento

## Tags

- web-scraping
- ecommerce
- data-extraction
- catalog

## Source

[llm-reader: Turn Webpage to LLM friendly input text. Similar to Firecrawl and Jina Reader API. Makes RAG, AI web scraping, image & webpage l](https://github.com/m92vyas/llm-reader)
GitHub · checked 2026-10-16

Summarized in our own words. Any results described there are the authors’ own, not measured by BotBento.

By BotBento Editorial · Added 2026-10-16 · Updated 2026-10-16 · [Suggest a correction](/contact/)

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