insider Asia Scraper — German Asian Grocery Prices, EAN & Stock 🥡

🎉 All 958 products, with EAN barcodes and a real price per 100 g

Built for anyone pricing, sourcing or comparing Asian food in Germany

🔎 What is the insider Asia Product Scraper — and when should you use it?

The insider Asia Product Scraper turns the public catalogue of insiderasia.de, a German Asian food and cookware shop into clean, structured rows you can filter, export and feed straight into a spreadsheet, database or AI agent. No account, no portal API key, no browser automation to maintain.

Use it when you need: German Asian-grocery products as rows: price in euros with VAT, the shop's own price per 100 g, litre or kilo, brand, delivery window, whether it ships now or is on order, a short description and the photo. Detail mode adds the EAN-13 barcode, the article number, the full German description, the shelf path, every published image and the size or flavour options.

Use something else when: you need a mainstream European grocery or a different retailer. Use Tesco Product Scraper for the UK supermarket, for the everyday half of a basket rather than Asian specialities. Use Bauhaus Product Scraper for German DIY and home retail, with the same price-and-availability row shape. Use Google Shopping Price Scraper for what every other seller charges for the same article, once you have its EAN. This actor reads one shop. It covers the 958 products insiderasia.de publishes to shoppers, across food, tableware and chopsticks, woks and rice cookers, decor, and tea and drinks. It says what insider Asia charges today; it is not a price comparison, it carries no history unless you schedule it and keep the datasets, and the shop publishes no nutrition table, so there is none to extract.

🤖 Use with AI agents

Already connected to the Apify MCP server? Just ask for this Actor by name: sian.agency/insider-asia-product-scraper

Your agent can pay for its own runs. This Actor is eligible for agentic payments, so an agent can discover it, run it and settle the bill over x402 (USDC on Base) or Skyfire — without an Apify account or API token of its own. Billing is the same either way: per successful row, never for errors.

Otherwise copy this prompt into Claude, ChatGPT, Cursor or any MCP-enabled assistant:

I want prices, EAN barcodes and availability for German Asian-grocery products using the Apify Actor `sian.agency/insider-asia-product-scraper`.

Use it when I need: German Asian-grocery products as rows: price in euros with VAT, the shop's own price per 100 g, litre or kilo, brand, delivery window, whether it ships now or is on order, a short description and the photo. Detail mode adds the EAN-13 barcode, the article number, the full German description, the shelf path, every published image and the size or flavour options.

Don't use it when: you need a mainstream European grocery or a different retailer — use tesco-product-scraper or bauhaus-product-scraper or google-shopping-price-scraper instead.

How to call it: leave `operation` on `catalog` and give `searchTerms` German words — `ramen` returns 28 products, `sojasauce` 27, `reis` 58, `sushi` 55, `nudeln` 41, `tee` 30. To browse instead of search, clear the terms and pick a `department`: Lebensmittel holds 412 products, Gedeckter Tisch 291, Rund ums Kochen 109, Ambiente & Wellness 92, Asiatische Getränke 58, and the cuisine shelves Japan, China, Korea, Geschenkideen and Rund ums Grillen cut the same catalogue a second way. Leave it on `Any` with no search terms to export all 958 products. `categoryUrls` takes any shelf address from the shop, including the 61 sub-shelves the dropdown does not list. `sortBy` applies the shop's own ordering before the maximum stops the run, so `priceAsc` gives you the cheapest products first. `inStockOnly` keeps only what ships in 1-3 days. To go deeper on products you already have, set `operation` to `productDetail` and pass `productUrls` — those rows carry the EAN barcode and the full description, which no listing page publishes.

Start with this input:
{
  "operation": "catalog",
  "searchTerms": [
    "ramen",
    "sojasauce"
  ],
  "department": "Any",
  "sortBy": "priceAsc",
  "inStockOnly": false,
  "maxItems": 100
}

Ask me which German search words or which shelf to cover, and whether the EAN barcode and full description are worth the deeper per-product charge, then run the Actor and summarise the results as a table.

Things you can ask your agent for:

• Export every ramen and instant-noodle product at insider Asia with its price per 100 g, sorted cheapest first.
• Give me the whole Lebensmittel shelf with EAN barcodes so I can match it against my wholesaler list.
• Track which Asian sauces went out of stock this week and which came back.

Machine-readable API, MCP config and OpenAPI definition for this Actor are published at apify.com/sian.agency/insider-asia-product-scraper.md.

📋 Overview

insider Asia has been selling Asian food, spices, cookware and lifestyle goods into Germany since 2004. This actor turns its whole shop into rows you can sort, filter and join.

What you get:

• ✅ The complete catalogue: 958 products, checked against the shop's own sitemap. Nothing missing, nothing counted twice.
• 🏷️ EAN barcodes on three products in four: the join key that lets a row meet a wholesaler list or a marketplace feed without fuzzy name matching.
• ⚖️ A real price per unit: nearly half the rows carry the shop's own €/100 g, €/litre or €/kg, so a 50 g sachet compares to a 1 kg bag directly.
• 📦 Availability with three states, not two: ships in 1-3 days, back in about three weeks, or unavailable. The middle one is 8% of the shop.
• 💶 Numbers that add up: German prices are written 19,00 EUR. Rows carry 19.0, ready for a spreadsheet.
• 🌏 A specialist assortment: gochujang, dashi kombu, tamarind paste, a carbon-steel wok. Products a mainstream German supermarket does not stock.

✨ Features

• 🛒 Search or browse: German keywords, or a whole shelf, or the entire shop in one run.
• 🗂️ Ten shelves, counted for real: every product count in the picker came from walking that shelf, not from a number the shop advertises.
• ↕️ Sorting that actually sorts: six orderings, each confirmed to change what the shop returns. The one it ignores is not offered.
• 🔬 A deeper row when you want it: EAN, article number, full description, shelf path, image gallery, size and flavour options.
• ✅ In-stock filtering: keep only what ships within three days, or take everything and decide later.
• 🔢 A hard maximum: a first run costs exactly what you set, no surprises.
• 💰 Billed per product returned: an empty search, an empty shelf and an unreadable link all cost nothing.
• 📄 A run report every time: what came back, what did not, what it cost, and copy buttons for the links and barcodes.

🎬 Quick Start

Pick a mode, give it something to look for, set a maximum. Catalogue mode is the one to start with, because it returns many products per request and never needs a link. Everything below runs without any setup beyond an Apify token.

curl -X POST 'https://api.apify.com/v2/acts/sian.agency~insider-asia-product-scraper/runs?token=YOUR_TOKEN' \
-H 'Content-Type: application/json' \
-d '{"operation": "catalog", "searchTerms": ["ramen"], "maxItems": 25}'

🚀 Getting Started (3 Simple Steps)

Step 1: Choose search or browse

Type German words into Search terms: ramen, sojasauce, reis, wok. Or clear that field and pick a Shelf to walk one instead.

Step 2: Set your maximum

Leave it at 25 for a first look. Raise it to 1000 when you want a whole shelf or the entire shop.

Step 3: Run it and open the dataset

Export as JSON, CSV or Excel, or read the run report for a table with copy buttons.

That's it! In under a minute, you'll have:

• One row per product, with price, price per unit, brand and stock state
• A dataset you can schedule weekly to watch prices move
• A list of product links ready for detail mode

📥 Input Configuration

Field	Type	Required	Description
operation	string	No	catalog (search or browse) or productDetail (deeper rows)
searchTerms	array	No	German search words, one per line
department	string	No	Which shelf to walk. Any walks the whole shop
categoryUrls	array	No	Shelf addresses from the shop, including sub-shelves
sortBy	string	No	shopDefault, priceAsc, priceDesc, nameAsc, nameDesc, dateDesc, dateAsc
inStockOnly	boolean	No	Keep only products shipping in 1-3 days
productUrls	array	No	Product page links for productDetail
maxItems	integer	No	Stop after this many rows (default 25)

Example: search

{
  "operation": "catalog",
  "searchTerms": ["ramen", "sojasauce"],
  "sortBy": "priceAsc",
  "maxItems": 100
}

Example: the whole shop

{
  "operation": "catalog",
  "searchTerms": [],
  "department": "Any",
  "maxItems": 1000
}

Example: deeper rows

{
  "operation": "productDetail",
  "productUrls": [
    "https://www.insiderasia.de/Tamarinden-Paste.html",
    "https://www.insiderasia.de/yaki-nori.html"
  ]
}

📤 Output

Results are saved to the Apify dataset with 26 fields, including:

Field	Type	Description
productName	string	The product as the shop names it
productUrl	string	Its page on the shop
ean	string	EAN-13 barcode (detail mode)
sku	string	The shop's own article number (detail mode)
brand	string	Manufacturer or house brand
price	number	Price in EUR, VAT included
priceIsFrom	boolean	True when the price depends on a size chosen on the page
unitPrice	number	The shop's own price per unit
unitPriceBasis	string	What that unit is: 100g, Kg, liter, 100ml
availability	string	InStock, BackOrder or OutOfStock
deliveryTime	string	The shop's own wording: 1-3 Tage, 3 Wochen
vatRate	number	7 for food, 19 for everything else
categoryPath	string	The shelf path this product sits on (detail mode)
descriptionText	string	The full German description (detail mode)
variantOptions	array	Size or flavour choices, where a product has them

Example row:

{
  "productName": "Sushi-Nori, allgroo",
  "productUrl": "https://www.insiderasia.de/yaki-nori.html",
  "productId": 1663,
  "sku": "01020206",
  "ean": "8805957020635",
  "brand": "ALLGROO",
  "price": 2.99,
  "priceIsFrom": false,
  "currency": "EUR",
  "unitPrice": 11.96,
  "unitPriceBasis": "100g",
  "vatRate": 7,
  "availability": "InStock",
  "inStock": true,
  "deliveryTime": "1-3 Tage",
  "categoryPath": "Lebensmittel > Gemüse, Pilze & Algen",
  "imageUrl": "https://www.insiderasia.de/images/product_images/original_images/sushi-nori.jpg",
  "operation": "productDetail",
  "scrapedAt": "2026-09-10T10:00:00.000Z"
}

💼 Use Cases & Examples

1. Asian grocery price monitoring in Germany

A category buyer needs to know what a specialist retailer charges, at the pack size that matters.

Input: search terms like sojasauce, curry, reis, or the Lebensmittel shelf Output: one row per product with price, price per 100 g and delivery window Use: schedule it weekly and diff the datasets to see which lines moved.

2. Product matching on EAN barcodes

A marketplace seller wants to line this catalogue up against a wholesaler list.

Input: product links in productDetail mode Output: EAN-13 on about three products in four, plus the shop's article number Use: join on the barcode instead of guessing whether two product names mean the same jar.

3. Assortment and availability monitoring

A competitor analyst wants to see what sells out and what comes back.

Input: a shelf, run on a schedule Output: availability and the shop's own delivery wording on every row Use: flag the products that spend the most weeks on back order.

4. Competitive assortment research

A founder is deciding what an Asian specialist range in Germany should contain.

Input: department: "Any", maxItems: 1000 Output: all 958 products, 153 brands, with the shelf each sits on Use: size the categories before committing to stock.

5. Catalogue and content feeds

A comparison site or dietary app needs product copy it does not have to write.

Input: product links in productDetail mode Output: the full German description, the image gallery, the size and flavour options Use: seed product pages without rewriting every description by hand.

6. Import and distribution research

An importer wants to see which brands already have German distribution.

Input: the whole shop Output: 153 brand names across food, tableware and cookware Use: shortlist the brands worth approaching, and the ones already spoken for.

7. AI agents and shopping assistants

An assistant needs live prices for a recipe's ingredients.

Input: a search term per ingredient Output: structured rows with price, unit price and stock state Use: answer "what would this dish cost tonight" with numbers instead of guesses.

🔗 Integration Examples

JavaScript/Node.js

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_TOKEN' });

const run = await client.actor('sian.agency/insider-asia-product-scraper').call({
  operation: 'catalog',
  searchTerms: ['ramen', 'sojasauce'],
  sortBy: 'priceAsc',
  maxItems: 100,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items[0]);

Python

from apify_client import ApifyClient
client = ApifyClient('YOUR_TOKEN')

run = client.actor('sian.agency/insider-asia-product-scraper').call(
    run_input={
        'operation': 'catalog',
        'department': 'Asiatische-Gerichte',
        'maxItems': 500,
    }
)

for item in client.dataset(run['defaultDatasetId']).iterate_items():
    print(item['productName'], item['price'], item['availability'])

cURL

curl -X POST 'https://api.apify.com/v2/acts/sian.agency~insider-asia-product-scraper/runs?token=YOUR_TOKEN' \
-H 'Content-Type: application/json' \
-d '{"operation": "productDetail", "productUrls": ["https://www.insiderasia.de/Tamarinden-Paste.html"]}'

Automation Workflows (N8N / Zapier / Make)

1. Trigger: a weekly schedule, or a webhook from your own system
2. HTTP Request: call the actor API with your shelf or search terms
3. Process: compare the new prices against last week's dataset
4. Action: write to a sheet, update your catalogue, or send an alert when something moves

📊 Performance & Pricing

FREE Tier (Try It Now)

• 25 products per run, with every field and every mode
• No credit card required
• Enough to see the shape of the data before you commit

PAID Tier (Production Ready)

• Unlimited products per run, so the whole 958-product catalogue fits in one go
• Pay per product returned: an empty search, an empty shelf and an unreadable link all cost nothing
• A run report with the itemised charges every time

💰 A full catalogue export is a single-digit dollar figure. Catalogue rows are the cheap, broad mode; detail rows cost more because each one is its own request to the shop.

🔗 View current pricing

❓ Frequently Asked Questions

Q: How many products are there? A: 958. Leave the shelf on Everything, clear the search terms and raise the maximum to 1000 for a complete export.

Q: What is the difference between catalogue mode and detail mode? A: Catalogue mode is broad and cheap: one row per product with price, price per unit, brand, image, delivery window and stock state, up to 288 products per request. Detail mode is deep: one row per product link, adding the EAN barcode, the article number, the full description, the shelf path, every image and the size options.

Q: Do I get EAN barcodes? A: In detail mode, on about three products in four. The shop publishes them on product pages only, which is why catalogue rows leave the field empty. Products it is not currently shipping publish less structured data, so their barcode is usually missing.

Q: Are sold-out products included? A: Yes, unless you switch on In stock only. The shop keeps them visible and labels them: 89 products in 100 ship in 1-3 days, 8 come back in about three weeks and 1 is unavailable.

Q: Why does the shop show a comma and my export a dot? A: The shop is German and writes 19,00 EUR. Rows carry a real number, 19.0, so a spreadsheet can add them up without a locale conversion. The currency is always EUR.

Q: Can I cover more than one shelf in a single run? A: Yes. Pick one from the dropdown and paste any number of further shelf addresses into Shelf links. Duplicates are removed, so a product on two shelves is billed once.

Q: What output formats are available? A: JSON, CSV and Excel, exported straight from the Apify dataset.

Q: Is this legal? A: It reads only what the shop publishes to any visitor. See the legal note below.

🐛 Troubleshooting

A search returns nothing

• The shop is German. Try sojasauce rather than soy sauce, nudeln rather than noodles.
• Very narrow terms are genuinely small: gochujang returns one product, miso five.
• Browse instead: clear the search terms and pick a shelf.

Fewer rows than the shelf claims

• Check the maximum. It stops the run the moment that many rows exist.
• Check In stock only. It removes about one product in nine.

A product link comes back as removed

• The shop takes pages down. Search the catalogue for the product name to find its replacement.

A row has no EAN

• Catalogue rows never carry one; only detail mode does.
• Products the shop is not currently shipping usually have no barcode published.

A price says "from"

• That product's price depends on a size chosen on the page. priceIsFrom is true on the row, and the size options are in variantOptions in detail mode.

⚖️ Is it legal to scrape data?

Our actors are ethical and do not extract any private user data, such as email addresses, gender, or location. They only extract what the user has chosen to share publicly. We therefore believe that our actors, when used for ethical purposes by Apify users, are safe.

However, you should be aware that your results could contain personal data. Personal data is protected by the GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers.

You can also read Apify's blog post on the legality of web scraping.

insider Asia is a trademark of its owner. This tool is not affiliated with, endorsed by or sponsored by insider Asia, and reads only information the shop publishes for shoppers.

🤝 Support

Join our active support community

• For issues or questions, open an issue in the actor's repository
• Check SIÁN Agency Store for more automation tools
• 📧 apify@sian-agency.online

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