# 1688 Product Listings & Price Extractor (`quanmatrix/1688-product-listings-price-extractor`) Actor

Search 1688 by product keyword and return structured product listings with price, seller, MOQ, sales, supplier history, tags and offer URL for sourcing, research and automation.

- **URL**: https://apify.com/quanmatrix/1688-product-listings-price-extractor.md
- **Developed by:** [Rafael Barreto Haddad](https://apify.com/quanmatrix) (community)
- **Categories:** E-commerce, Automation
- **Stats:** 2 total users, 1 monthly users, 93.3% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.02 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## 1688 Product Listings & Price Extractor

Search 1688 by product keyword and return structured product listings with price, seller, MOQ, sales, supplier history, tags and offer URL for sourcing, research and automation.

### Business use and first result

**For:** Buyers researching public 1688 wholesale listings and initial supplier options.

**Why run it:** Search a specific product keyword and retrieve structured product IDs, source URLs, available prices, minimum order quantities and seller identifiers.

**First result:** Run the `LED灯` example below, open a returned `offerUrl`, and inspect `priceCny`, `minOrderQuantity`, `monthlySales` and `sellerLoginId` where present. Use Chinese keywords when possible.

**Scope:** This is public listing search, not full product-page detail extraction, automatic translation or verified supplier due diligence.

### Why use this Actor

Buyers need direct structured 1688 product, price and supplier fields without manually browsing wholesale search pages or first running an intelligence workflow.

### Key features

- Buyer-native inputs aligned to **1688 product scraper**.
- Predictable structured output in the default Apify Dataset.
- Pay Per Event pricing tied to measurable result rows or reports.
- Optional MCP connector delivery for downstream automation and AI agents.

### Quick start

Start with this working example and replace the target values with your own:

```json
{
  "queries": [
    "LED灯"
  ],
  "maxResultsPerQuery": 10,
  "minMonthlySales": 0,
  "maxPriceCny": 0
}
```

The Actor writes structured results to the default Apify Dataset and can be used from the Store, API, schedules, Tasks, automations and MCP-compatible AI workflows.

### Input

- `queries` — Product keywords: Wholesale product keywords. Chinese terms usually improve matching.
- `maxResultsPerQuery` — Results per query: Maximum product listings returned per keyword.
- `minMonthlySales` — Minimum monthly sales: Optional minimum observed monthly sales filter.
- `maxPriceCny` — Maximum price CNY: Optional price ceiling. 0 disables the filter.

All integration and advanced analysis fields are optional. The default example is intentionally runnable without configuring MCP or a previous-run baseline.

### Output

Each Dataset item is a 1688 listing with `offerId`, `title`, `priceCny`, `minOrderQuantity`, `sellerLoginId` and `offerUrl` where available. The Output tab links the rows as `results` and run diagnostics as `summary`.

### Pricing

This Actor uses Pay Per Event. The current factory base price is **$0.001200 per result event**. The Apify Store remains the source of truth for the price and plan/tier details shown to the buyer.

### Use cases

- Run the buyer-ready workflows exposed as Apify Tasks without preparing a custom integration first.
- Use the Actor from API or schedules for recurring collection, comparison or monitoring.
- Feed the structured Dataset output into spreadsheets, databases, automations or AI agents.
- Export successive Datasets for comparison outside this Actor; `previousSnapshot` is not a supported input.

### Automation and AI

Use the same Actor through Apify API, schedules, public Tasks and the Apify MCP server. Outputs are structured for downstream workflows and AI agents rather than requiring manual copy/paste.

### Limitations

- Public websites and upstream APIs can change markup, access rules, rate limits or field availability without notice.
- Fields that are not publicly available are returned as unavailable or omitted rather than fabricated.
- Analytical outputs depend on the quality and coverage of the supplied or collected source data.
- Treat marketplace, reputation, workforce, safety or commercial signals as decision support and validate material decisions against the underlying source evidence.

### Detailed documentation

### What it does

This Actor is the direct SOURCE layer for 1688 product research. It extracts public product-search data first. Downstream sourcing intelligence can then score or compare those rows separately.

### Input

- queries: one or more product keywords
- maxResultsPerQuery: product rows per keyword
- minMonthlySales: optional demand filter
- maxPriceCny: optional price ceiling

Chinese search terms usually improve 1688 matching.

### Output

Each Dataset row can include search query, offer ID, title, seller login ID, member ID, price in CNY, monthly and total sales, MOQ, supplier years, delivery hours, public tags, offer URL and scrape timestamp.

### Quick start

Use the default example with LED灯 or provide one buyer-native product keyword. No upstream Dataset is required.

### Use cases

- wholesale product research
- procurement and factory sourcing
- dropshipping discovery
- price and MOQ comparison
- recurring 1688 product snapshots
- AI-agent product retrieval

### Pricing

Pay Per Event. The primary event is one normalized 1688 product listing row.

### Automation and AI

The Actor supports optional MCP connector delivery for compatible downstream tools and AI-agent workflows.

### Limitations

1688 anti-bot behavior can vary. The Actor tries direct MTOP access, then managed proxy fallbacks. Public fields vary by listing, and unavailable values are left empty rather than invented.

# Changelog

This Actor's version history is a separate document: https://apify.com/quanmatrix/1688-product-listings-price-extractor/changelog.md

# Actor input Schema

## `queries` (type: `array`):

Wholesale product keywords. Chinese terms usually improve matching.

## `maxResultsPerQuery` (type: `integer`):

Maximum product listings returned per keyword.

## `minMonthlySales` (type: `integer`):

Optional minimum observed monthly sales filter.

## `maxPriceCny` (type: `number`):

Optional price ceiling. 0 disables the filter.

## `mcpConnectors` (type: `array`):

Optional MCP connectors authorized in your Apify account. Use them to send or write this Actor result to tools such as Slack, Notion, GitHub, Sentry, Supabase, or another compatible MCP service.

## `mcpActionPreset` (type: `string`):

Choose a safe action pattern. AUTO_SAFE_WRITE discovers a compatible non-destructive write tool automatically; use a specific preset for Slack, GitHub, Notion, or database delivery.

## `mcpToolName` (type: `string`):

Optional exact MCP tool name. Leave blank to let the selected MCP action preset discover a compatible tool automatically.

## `mcpToolArguments` (type: `object`):

JSON object passed to the selected MCP tool. String values may use {{actor_title}}, {{result_summary}}, or {{result_json}} placeholders.

## `mcpFailOnError` (type: `boolean`):

When enabled, an MCP delivery error fails the Actor run. Disabled by default so data extraction and intelligence results remain available even if the external destination is unavailable.

## Actor input object example

```json
{
  "queries": [
    "LED灯"
  ],
  "maxResultsPerQuery": 10,
  "minMonthlySales": 0,
  "maxPriceCny": 0,
  "mcpActionPreset": "AUTO_SAFE_WRITE",
  "mcpToolName": "",
  "mcpToolArguments": {},
  "mcpFailOnError": false
}
```

# Actor output Schema

## `results` (type: `string`):

Normalized 1688 product rows.

## `summary` (type: `string`):

Run summary and source diagnostics.

# 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 = {
    "queries": [
        "LED灯"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("quanmatrix/1688-product-listings-price-extractor").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 = { "queries": ["LED灯"] }

# Run the Actor and wait for it to finish
run = client.actor("quanmatrix/1688-product-listings-price-extractor").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{
  "queries": [
    "LED灯"
  ]
}' |
apify call quanmatrix/1688-product-listings-price-extractor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,quanmatrix/1688-product-listings-price-extractor"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/aWgVa26EDLgsJTcwJ/builds/WNA8NcSsv9S2eVbNh/openapi.json