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Operations · Intermediate

# Automated structured web data collection

Scrape dynamic web pages into structured records and stage database updates

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

- On a scheduleDaily at 04:00 UTC
- ThenExecute data extraction scripts
- ResultPreview staged data records

Extract structured data from web pages, APIs, and online documents using declarative query scripts. The bot executes data extraction jobs, verifies schema compliance, and prepares clean records for ingestion into your internal storage.

## Prompt to start with

BotBentoRecommended

```
Run the declarative web extraction scripts against target web pages using the terminal. Validate the extracted payloads against the expected schema and flag missing fields. Generate a diff of new and modified records, and wait for user approval before writing or updating any rows in the database. Never purge previous records without explicit operator confirmation.
```

Copy

## Tools it uses

BrowserTerminalDatabase

## Works with

BotBento

## Tags

- scraping
- etl
- database
- automation
- data

## Source

[ferret: Declarative data automation language and Go runtime for structured extraction workflows.](https://github.com/MontFerret/ferret)
GitHub · checked 2026-10-15

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

By BotBento Editorial · Added 2026-10-15 · Updated 2026-10-15 · [Suggest a correction](/contact/)

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