ParseShelf
Preview 5 rows free
Export data

Build an export your team can use.

Choose the input, focus the live preview, then continue to a downloadable Amazon job. Every completed job keeps the full normalized schema in all supported formats.

Documentation Read quickstart

Public Amazon observations · selected search results, not the whole Amazon market.

1
Select source

What should we observe?

Paste ASINs to check observed product rows now.
2
Preview fields

Focus the useful columns

5 of 6 preview groups selected
3
Output formats

Pick the format to open first

CSV, XLSX, JSONL and Markdown remain available after the job completes.
4
Recurring workflow

Keep the dataset fresh

API + cron

Recurring runs use your API key and the scheduler your team already trusts. Choose timing, retries and delivery in cron, Airflow or another worker.

See the automation quickstart
Preview

First rows from the public dataset

Enter an input to start
ASINTitleBrandPriceRatingObserved
Data contract

What stays true

  • Empty means empty.We do not invent a missing Amazon field.
  • Rows stay traceable.Source URL, product URL and observed timestamp travel with the export.
  • One schema, four formats.CSV, XLSX, JSONL and Markdown come from the same normalized rows.
Amazon Export Studio for clean sample filesRead methodology and next step

Export Studio is the conversion point from intelligence to a usable dataset. Paste one Amazon search or category URL, a product URL, or an ASIN list, select the field groups your workflow needs and choose CSV, XLSX or JSONL. The preview is sourced from the observed public universe, while the data contract keeps rows traceable with product URLs and observation metadata. The original input stays attached to the export, so the operator does not repeat work. A reviewed export is available when field quality matters more than speed.

ParseShelf uses live public Amazon observations with explicit provenance and freshness. Start with the free intelligence surface, inspect the evidence, then send one URL or up to 20 ASINs for a downloadable sample.

Observed data is useful because it is inspectable: the source market, observation date, rendered fields and missing values stay visible. When a sample matters, the same input can move into a real parser job and a clean export for your team.

Data coverage & observation dates
MarketPortfolio view · all monitored marketsPopulationObserved Amazon rowsAs ofPreparing snapshot…QualityLoading coverage…