# RedNote (Xiaohongshu) Product Recommendations Scraper (`toolzerhub/rednote-xiaohongshu-product-recommendations-scraper`) Actor

Extract the related products RedNote (Xiaohongshu) recommends for one product ID: title, price, seller, units sold, and buy link. Already filtered clean of unrelated UI configuration data. No login or session cookie required.

- **URL**: https://apify.com/toolzerhub/rednote-xiaohongshu-product-recommendations-scraper.md
- **Developed by:** [ToolzerHub](https://apify.com/toolzerhub) (community)
- **Categories:** E-commerce, Social media, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.80 / 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/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

## RedNote (Xiaohongshu) Product Recommendations Scraper

Collect the public “you may also like” products shown alongside one RedNote or Xiaohongshu product and save each real recommended item as a separate row.

### What gets filtered

RedNote mixes product recommendations with unrelated UI and experiment configuration blocks in the same response. The Actor removes those blocks before saving results. Every output row is a recommended product — never a stray configuration object.

### Request

**`product_id`** is required. **`maxItems`** defaults to `100`; set `0` to keep collecting until the recommendation list ends.

The Store form prefills **`region`** with `US`, but the schema does not impose a default. Send the region explicitly when you want a localized result.

```json
{
  "product_id": "6627305f3152260001509721",
  "region": "US",
  "maxItems": 40
}
```

### Recommended-product row

| Field | Contents |
|---|---|
| **`item_id`**, **`sku_id`** | Product and SKU IDs |
| **`title`**, **`link`**, **`image`** | Listing identity and asset |
| **`seller_id`** | Seller ID |
| **`item_sale_num`** | Reported units sold |
| **`buyable`** | Whether RedNote reports the item as purchasable |
| **`price`**, **`price_display`**, **`currency`** | Numeric, formatted, and currency price fields |
| **`track`** | Recommendation tracking metadata |

```json
{
  "item_id": "65f735233b4dcf000175fa0b",
  "sku_id": "66ddbb6fb271ae0001d58910",
  "title": "Matte magnetic phone case",
  "seller_id": "65d704a2de7c970001f93c3b",
  "item_sale_num": 277205,
  "buyable": true,
  "price": 1.47,
  "price_display": "$1.47",
  "currency": "$"
}
```

Pagination stops at your cap, an empty page, no next cursor, or a repeated cursor.

### Questions

**Why don't I see experiment blocks in the dataset?**

They aren't products. The Actor selects only the recommendation components that contain actual product entries and discards the rest.

**Is `US` always used if I omit `region`?**

Don't rely on that. `US` is the Store prefill, not a schema default. Send **`region`** explicitly when localization matters.

**Does this require a RedNote session?**

No. Login, cookie, and session-token input isn't required or accepted.

Start with [RedNote Product Search Scraper](https://apify.com/toolzerhub/rednote-xiaohongshu-product-search-scraper) when you need a seed ID. Use [RedNote Product Scraper](https://apify.com/toolzerhub/rednote-xiaohongshu-product-scraper) for its detail tree or [RedNote Product Reviews Scraper](https://apify.com/toolzerhub/rednote-xiaohongshu-product-reviews-scraper) for buyer feedback.

# Actor input Schema

## `product_id` (type: `string`):

A RedNote product ID, as returned by the Product Search Actor. A product page URL is not accepted — paste the ID itself.

## `maxItems` (type: `integer`):

Maximum rows to save. Set 0 to keep collecting until the source is exhausted.

## `region` (type: `string`):

Optional region code for localized feeds and trends.

## Actor input object example

```json
{
  "product_id": "6627305f3152260001509721",
  "maxItems": 20,
  "region": "US"
}
```

# Actor output Schema

## `dataset` (type: `string`):

Every record collected during this run

# 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 = {
    "product_id": "6627305f3152260001509721",
    "maxItems": 20,
    "region": "US"
};

// Run the Actor and wait for it to finish
const run = await client.actor("toolzerhub/rednote-xiaohongshu-product-recommendations-scraper").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 = {
    "product_id": "6627305f3152260001509721",
    "maxItems": 20,
    "region": "US",
}

# Run the Actor and wait for it to finish
run = client.actor("toolzerhub/rednote-xiaohongshu-product-recommendations-scraper").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 '{
  "product_id": "6627305f3152260001509721",
  "maxItems": 20,
  "region": "US"
}' |
apify call toolzerhub/rednote-xiaohongshu-product-recommendations-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,toolzerhub/rednote-xiaohongshu-product-recommendations-scraper"
        }
    }
}

```

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/cmp5kJLexRLDob9rA/builds/cxmmwbTBQk6phiFVF/openapi.json