# 1688 Product / Offer Scraper (`ritaya/offerscope-1688`) Actor

Scrape 1688.com (Alibaba's Chinese wholesale marketplace) product/offer details: title, wholesale price tiers, minimum order quantity, units sold, supplier, and images. No login required — parsed directly from the offer page.

- **URL**: https://apify.com/ritaya/offerscope-1688.md
- **Developed by:** [Zane](https://apify.com/ritaya) (community)
- **Categories:** E-commerce, Automation, Developer tools
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## 1688 Product / Offer Scraper

Scrape product (offer) details from **1688.com** — Alibaba's Chinese wholesale marketplace. Returns clean, structured data: title, wholesale price tiers, minimum order quantity (MOQ), unit, units sold, supplier info, mixed-batch rules, and images. No login or cookies required.

Built for sourcing agents, dropshippers, and cross-border e-commerce teams who need factory-direct wholesale data from 1688 in a structured format.

### What you get

One dataset record per offer, including:

- `title`, `price`, `priceTiers` — wholesale tier pricing `[{beginAmount, price}]`
- `minOrderQuantity` (MOQ), `unit`, `soldText` — units sold
- `images` — image gallery
- `mix` — mixed-batch rules (min pieces / min amount)
- `supplier` — company name, member ID, store URL
- `categoryId`, `detailDescUrl`

### Input

```json
{
  "offerIds": ["991308412993", "672495061376"],
  "offerUrls": ["https://detail.1688.com/offer/991308412993.html"],
  "maxResults": 50
}
```

- `offerIds` — 1688 product IDs (the number in `m.1688.com/offer/<ID>.html`).
- `offerUrls` — full 1688 product URLs; the ID is extracted automatically.
- `maxResults` — cap on offers scraped per run (default 50).

Provide either `offerIds` or `offerUrls` (or both).

### Output example

```json
{
  "offerId": "991308412993",
  "url": "https://m.1688.com/offer/991308412993.html",
  "title": "厂家批发加高折叠月亮椅户外折叠休闲椅自驾野餐露营椅钓鱼凳野营",
  "price": "27.30",
  "priceTiers": [{ "beginAmount": 10, "price": "27.30" }],
  "minOrderQuantity": 10,
  "unit": "个",
  "soldText": "50+",
  "images": ["https://cbu01.alicdn.com/img/ibank/…310x310.jpg"],
  "supplier": {
    "companyName": "临沂市兰山区开坤家居用品厂(个体工商户)",
    "memberId": "b2b-2218568164994eaaa9",
    "storeUrl": "https://winport.m.1688.com/page/index.html?memberId=…"
  },
  "mix": { "isSupportMix": true, "mixNumber": 200, "mixAmount": 2000 },
  "categoryId": "122098004"
}
```

> Product text (titles, company names) is returned in its original Chinese, exactly as 1688 publishes it. Proxy and anti-bot handling are fully managed by the Actor — no configuration needed.

### Pricing

Pay-per-result: **$1.99 per 1,000 results**. No subscription.

### Disclaimer

This Actor retrieves only publicly available product-listing data. Respect 1688.com's terms and applicable laws, and use the data responsibly.

# Actor input Schema

## `offerIds` (type: `array`):

1688 product (offer) IDs — the number in m.1688.com/offer/<ID>.html. Each one is scraped for its details.

## `offerUrls` (type: `array`):

Full 1688 product URLs (e.g. https://detail.1688.com/offer/991308412993.html). The offer ID is extracted automatically. Use this or Offer IDs.

## `maxResults` (type: `integer`):

Maximum number of offers to scrape in this run.

## Actor input object example

```json
{
  "offerIds": [
    "991308412993",
    "672495061376"
  ],
  "offerUrls": [
    "https://detail.1688.com/offer/991308412993.html"
  ],
  "maxResults": 50
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "offerIds": [
        "991308412993"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("ritaya/offerscope-1688").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "offerIds": ["991308412993"] }

# Run the Actor and wait for it to finish
run = client.actor("ritaya/offerscope-1688").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "offerIds": [
    "991308412993"
  ]
}' |
apify call ritaya/offerscope-1688 --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=ritaya/offerscope-1688",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/neWAKtqqrgqL3RWbJ/builds/aqP1NG0wunwnJUTvH/openapi.json