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Marketplace import: Amazon and AliExpress

Marketplace import: Amazon and AliExpress

With the Companion you bring products and orders from Amazon and AliExpress straight into aYOUne, without retyping.

Importing products

On an Amazon product page (amazon.de, .com, .co.uk, .fr, .it, .es) or an AliExpress product page, an In aYOUne importieren (import into aYOUne) button appears. Alternatively click Import product in the popup.

The Companion

  1. looks for an existing product in aYOUne (by identifiers such as ASIN, AliExpress item number, EAN or manufacturer part number) and updates it, or creates a new product with the next free article number;
  2. takes over the product image;
  3. finds the seller as a supplier or creates one;
  4. records the price in a supplier agreement. If one already exists, a new entry is added to its price history.

You see the result right away — new product created or product updated — with links to the product and the supplier in aYOUne. If no price can be found on AliExpress, the import finishes without a price.

Importing orders

Amazon: open your order history or a single order. A bar at the top offers Bestellungen importieren or Diese Bestellung importieren (import orders / this order). The orders visible on the current page are imported; for older orders change the filter or page and click again. Afterwards you see how many orders are new and how many were updated; sellers and products are completed in the background.

AliExpress: on the order list click Bestellungen importieren (import orders). The Companion loads the complete list and briefly opens the orders in a background tab to read the details. You follow the progress in the action bar and in the popup, where you can also cancel the import. If some orders are still missing details afterwards, Unvollständige nachladen (reload incomplete) reads exactly those orders again.

Completing product details

Importing Amazon orders creates products for which only a few details are known at first. When there are such products, the popup shows a Product backfill section with a Fill in now button. The Companion then opens the Amazon product pages one after another in the background and only fills in missing details, such as the product picture – up to 25 products per run, with about 20 seconds between two products. Existing details are not overwritten.

Requirements

You are signed in to the Companion and logged in to Amazon or AliExpress with your own account. The Companion reads the pages you see; it does not use a seller interface.

The buttons and messages on Amazon and AliExpress pages are currently shown in German.

Work with this page

Ready-made instructions for your AI tool. Copy, paste, go — the AI fetches the content itself via the address in the text.

Summarise the steps for me The essentials, in the right order.
Open in ChatGPT 
Read the following documentation by tolinax UG and work with it.

This page: https://ayoune.com/en/docs/companion/marketplace-import.md
The complete collection: https://ayoune.com/en/docs/companion.md

Summarise the content for me.

- First, in two sentences: what is this about?
- Then the steps in the order I need to take them.
- One line per step, in plain language.
- At the end: what I should have ready beforehand.

Leave out nothing I need in order to actually finish.
A note on sources:
- Every page of this documentation is available as Markdown (the same address with `.md`).
- A machine-readable overview of all public content is at `/llms.txt`.
- If you have access to the aYOUne MCP server, you can work against live data
  instead of this snapshot. If not, ignore this point.
Explain what I need this for What it is good for — and when it is worth it.
Open in ChatGPT 
Read the following documentation by tolinax UG and work with it.

This page: https://ayoune.com/en/docs/companion/marketplace-import.md
The complete collection: https://ayoune.com/en/docs/companion.md

Explain to me what I need this for.

1. Which problem does it solve? In one sentence, from my point of view.
2. Three typical situations in which it genuinely helps me.
3. When I do NOT need it — that saves me time.
4. What I can do instead if it is not a fit.

Stick to what the source says. Where it gives nothing, say so openly instead
of guessing.
A note on sources:
- Every page of this documentation is available as Markdown (the same address with `.md`).
- A machine-readable overview of all public content is at `/llms.txt`.
- If you have access to the aYOUne MCP server, you can work against live data
  instead of this snapshot. If not, ignore this point.
Help me set this up Step by step, asking me as you go.
Open in ChatGPT 
Read the following documentation by tolinax UG and work with it.

This page: https://ayoune.com/en/docs/companion/marketplace-import.md
The complete collection: https://ayoune.com/en/docs/companion.md

Walk me through the setup step by step.

- First tell me what I need to have ready (access, data, time).
- Then take me through ONE step at a time. Wait for my "next".
- For each step, say how I can tell that it worked.
- If something goes wrong, ask me for the exact message instead of guessing.

If the instructions leave a point open, tell me so rather than inventing it.
A note on sources:
- Every page of this documentation is available as Markdown (the same address with `.md`).
- A machine-readable overview of all public content is at `/llms.txt`.
- If you have access to the aYOUne MCP server, you can work against live data
  instead of this snapshot. If not, ignore this point.
Help me with a problem Narrow down the cause instead of guessing.
Open in ChatGPT 
Read the following documentation by tolinax UG and work with it.

This page: https://ayoune.com/en/docs/companion/marketplace-import.md
The complete collection: https://ayoune.com/en/docs/companion.md

Help me narrow down a problem.

- First ask me what I observe and what I expected instead.
- From that, derive the most likely causes consistent with this source.
- For each cause, give me ONE test that confirms or rules it out.
- Order them so the cheapest test comes first.

Do not guess. If the source does not cover the problem, tell me where I should
look next.
A note on sources:
- Every page of this documentation is available as Markdown (the same address with `.md`).
- A machine-readable overview of all public content is at `/llms.txt`.
- If you have access to the aYOUne MCP server, you can work against live data
  instead of this snapshot. If not, ignore this point.
Explain it in plain words No jargon, from the ground up.
Open in ChatGPT 
Read the following documentation by tolinax UG and work with it.

This page: https://ayoune.com/en/docs/companion/marketplace-import.md
The complete collection: https://ayoune.com/en/docs/companion.md

Explain the content so that someone without prior knowledge understands it.

- Start with the purpose: why does this exist at all?
- Explain technical terms in half a sentence on first use.
- One everyday comparison where it genuinely holds — none where it limps.
- At the end: the three things worth remembering.

Do not shorten by dropping conditions. A simplification that hides a
prerequisite is a false statement.
A note on sources:
- Every page of this documentation is available as Markdown (the same address with `.md`).
- A machine-readable overview of all public content is at `/llms.txt`.
- If you have access to the aYOUne MCP server, you can work against live data
  instead of this snapshot. If not, ignore this point.
A checklist to tick off To follow along while you do it.
Open in ChatGPT 
Read the following documentation by tolinax UG and work with it.

This page: https://ayoune.com/en/docs/companion/marketplace-import.md
The complete collection: https://ayoune.com/en/docs/companion.md

Turn this into a **tick-off checklist** for practical use.

- Exactly one action per item, in the imperative.
- Order it so that no item depends on a later prerequisite.
- Prerequisites and pitfalls as indented sub-items.
- End with an acceptance step: how do I know everything is right?
A note on sources:
- Every page of this documentation is available as Markdown (the same address with `.md`).
- A machine-readable overview of all public content is at `/llms.txt`.
- If you have access to the aYOUne MCP server, you can work against live data
  instead of this snapshot. If not, ignore this point.

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