Structured data extraction

Collect and extract web data for AI analysis

Seekdown pairs crawling, API ingestion, and prompt-based parsing so business teams can turn sprawling catalogs or competitor research into consistent datasets. No code, no manual cleaning—just answers you can trust.

Step by step

Build your structured dataset in five moves

1

Set up your capture job

Choose the data source: configure a crawler for product pages, competitor pricing, or research portals, or call a REST API when the data already lives behind an endpoint. Define start URLs, depth, and domain rules so Seekdown only fetches the pages that matter.

2

Add AI transformations

Use natural-language prompts to normalize the data as it arrives. Ask for JSON with fields like product name, price, availability, or SKU so the assistant delivers ready-to-use records straight away—no regex wrangling.

3

Run and validate

Launch the job and inspect the logs, preview tables, and citations. If a field is missing, adjust the prompt or crawler scope and rerun in minutes instead of rebuilding scripts.

4

Export structured output anywhere

Deliver clean datasets to the tools your team already uses. Seekdown supports:

  • CSV or JSON downloads for spreadsheets and ETL pipelines.
  • Excel Power Query connections that stay synced.
  • Direct API access so BI dashboards refresh automatically.
5

Automate every refresh

Schedule recurring jobs to keep catalogs, pricing, or compliance datasets current. Assistants built on top of those collections inherit the latest facts without you touching a spreadsheet.

Ready when you are

Start extracting structured data today

Spin up your first capture job in minutes, or loop our team in to size a bigger rollout. Seekdown keeps every dataset cited, governable, and easy to share.