# Baidu Notes Scraper - Low-cost ไฝๆๆฌ๐ฒ๐ฅ๐จ๐ณ๐บ (`delectable_incubator/baidu-notes-scraper---low-cost-di-cheng-ben`) Actor
Scrape Baidu Notes search results easily ๐จ๐ณ๐ with a powerful content scraper.
Extract note URLs, titles, thumbnails, authors, and publication dates for any keyword.
Ideal for content trend monitoring, brand research, competitor analysis, and Baidu SERP tracking with structured datasets ๐๐
- **URL**: https://apify.com/delectable\_incubator/baidu-notes-scraper---low-cost-di-cheng-ben.md
- **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community)
- **Categories:** SEO tools, News, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $0.00005 / actor start
This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
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 a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use 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
---
### Baidu Notes Scraper ๐จ๐ณ๐๐ ็พๅบฆ็ฌ่ฎฐ็ฌ่ซ
The Baidu Notes Scraper is a fast, scalable, and reliable Apify Actor designed to extract structured note search results directly from Baidu Notes.
It is built for content trend discovery, China market research, brand monitoring, competitor intelligence, and SERP tracking of Baidu Notes content.
---
### ็พๅบฆ็ฌ่ฎฐ็ฌ่ซ ๐ง ๐๐
่ฏฅๅทฅๅ
ทๅฏ้่ฟๆน้ๅ
ณ้ฎ่ฏ่ชๅจๆๅ็พๅบฆ็ฌ่ฎฐๆ็ดข็ปๆ๏ผๅนถ่ฟๅ็ปๆๅ็็ฌ่ฎฐๆฐๆฎ๏ผๅ
ๆฌไฝ่
ใๅๅธๆถ้ดใ็น่ตๆฐ็ญไฟกๆฏใ
้ๅธธ้ๅๅ
ๅฎน็ ็ฉถไบบๅใๅธๅบๅๆๅธใๅ็ๅข้ไปฅๅAIๆฐๆฎ้ๆๅปบไฝฟ็จใ
---
### ๐ฏ What This Scraper Does
Simply provide a list of keywords and a limit per keyword โ the scraper handles everything automatically.
โ
Scrapes Baidu Notes search results at scale
โ
Supports bulk keyword input (multi-search mode)
โ
Extracts structured note metadata
โ
Handles scrolling automatically
โ
Stops at defined limits per keyword
โ
Moves seamlessly between keywords
โ
Clean, structured, analysis-ready output
---
### ๐ Data Extracted
๐งพ Note Fields
| Field | Description |
| ------------------- | ------------------------------- |
| ๐ `keyword` | Search keyword used |
| ๐ข `position` | Ranking position in Baidu Notes |
| ๐ `title` | Note title |
| ๐ `url` | Direct note URL |
| ๐ผ `thumbnail` | Note image (if available) |
| ๐ค `author` | Note author |
| ๐ผ๏ธ `authorAvatar` | Author profile image |
| ๐
`publishedDate` | Publication date (if available) |
| โค๏ธ `likes` | Number of likes (if available) |
| โฑ `searchTimestamp` | Time of extraction |
---
### ๐ How to Use
1๏ธโฃ Configure Input
Provide one or multiple keywords:
````
{
"keywords": \[
"AI",
"็ฝ็ป",
"ๅ
ๅฎน่ฅ้"
],
"MAX\_ITEMS\_PER\_KEYWORD": 50
}
```
2๏ธโฃ Run the Actor
โข Performs Baidu Notes search
โข Extracts structured note results
โข Collects metadata per keyword
โข Stops automatically at limit
3๏ธโฃ Export the Dataset
Download your results in multiple formats:
โ
JSON
โ
CSV
โ
Excel
โ
XML
โ
HTML
---
### โ๏ธ Input Configuration
#### ๐ฅ Input Example
```
{
"keywords": \["ไบบๅทฅๆบ่ฝ"],
"MAX\_ITEMS\_PER\_KEYWORD": 50
}
```
#### Input Fields
| Field | Type | Description |
| ----------------------- | ------- | ---------------------------------------------- |
| `keywords` | array | List of search keywords (bulk mode supported) |
| `MAX_ITEMS_PER_KEYWORD` | integer | Maximum number of notes to extract per keyword |
---
### ๐ค Output Example
```
{
"keyword": "ไบบๅทฅๆบ่ฝ",
"position": 1,
"title": "ไบบๅทฅๆบ่ฝๅๅฑ่ถๅฟๅๆ",
"url": "https://example.com/note",
"thumbnail": "https://example.com/image.jpg",
"author": "็งๆ่งๅฏ่
",
"authorAvatar": "https://example.com/avatar.jpg",
"publishedDate": "2026-02-13",
"likes": "325",
"searchTimestamp": "2026-02-13T14:32:21.000Z"
}
````
---
### ๐ Output explanation
| Field | Description |
| ----------------- | ------------------------ |
| `keyword` | Search term used |
| `position` | Ranking in notes results |
| `title` | Note title |
| `url` | Note URL |
| `thumbnail` | Preview image |
| `author` | Author name |
| `publishedDate` | Publication date |
| `likes` | Engagement metric |
| `searchTimestamp` | Scraping time |
---
### ๐ Why Use This Scraper?
๐ Content Trend Monitoring โ track popular notes on Baidu
๐ต๏ธ Competitor Intelligence โ analyze competitor visibility
๐ท Brand Monitoring โ track brand mentions in notes
๐ Content Strategy โ analyze titles, engagement & authors
๐ค AI Dataset Building โ structured content datasets
๐ Automation Ready โ schedule recurring scraping runs
๐ SERP Intelligence โ understand ranking behavior
---
### โ ๏ธ Disclaimer
This tool is an independent solution and is not affiliated with, endorsed by, or sponsored by Baidu or its subsidiaries or partners.
---
### ๐ธ Pricing
This scraper runs on a **pay per events subscription model**.
You only pay for **successful runs**.
๐ณ **Price:** $9.98 / 1000 results
---
### Related Actors
If you're interested in SEO scraping solutions, explore more tools:
(Coming soon)
---
### ๐ฌ Support
โญโญโญโญโญ Leave a 5-star rating if you like this tool
---
### ๐ PrimeScrape
Built for scalable web data extraction & automation
Contact for custom scraping solutions or enterprise requests via Apify or by email.
# Actor input Schema
## `keywords` (type: `array`):
List of keywords or subjects to search for notes. Each keyword will be scraped separately.
## `MAX_ITEMS_PER_KEYWORD` (type: `integer`):
Maximum number of notes to extract per keyword (scraper will scroll until this number is reached or no more notes are available)
## Actor input object example
```json
{
"keywords": [
"Web",
"ไฝๆๆฌ"
],
"MAX_ITEMS_PER_KEYWORD": 50
}
````
# Actor output Schema
## `overview` (type: `string`):
No description
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"keywords": [
"Web",
"ไฝๆๆฌ"
],
"MAX_ITEMS_PER_KEYWORD": 50
};
// Run the Actor and wait for it to finish
const run = await client.actor("delectable_incubator/baidu-notes-scraper---low-cost-di-cheng-ben").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`๐พ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
// ๐ Want to learn more ๐? Go to โ 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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"keywords": [
"Web",
"ไฝๆๆฌ",
],
"MAX_ITEMS_PER_KEYWORD": 50,
}
# Run the Actor and wait for it to finish
run = client.actor("delectable_incubator/baidu-notes-scraper---low-cost-di-cheng-ben").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("๐พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# ๐ Want to learn more ๐? Go to โ https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"keywords": [
"Web",
"ไฝๆๆฌ"
],
"MAX_ITEMS_PER_KEYWORD": 50
}' |
apify call delectable_incubator/baidu-notes-scraper---low-cost-di-cheng-ben --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=delectable_incubator/baidu-notes-scraper---low-cost-di-cheng-ben",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Baidu Notes Scraper - Low-cost ไฝๆๆฌ๐ฒ๐ฅ๐จ๐ณ๐บ",
"description": "Scrape Baidu Notes search results easily ๐จ๐ณ๐ with a powerful content scraper. \n\nExtract note URLs, titles, thumbnails, authors, and publication dates for any keyword. \n\nIdeal for content trend monitoring, brand research, competitor analysis, and Baidu SERP tracking with structured datasets ๐๐",
"version": "0.0",
"x-build-id": "fgxL4F6Hgmb6nqycx"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/delectable_incubator~baidu-notes-scraper---low-cost-di-cheng-ben/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-delectable_incubator-baidu-notes-scraper---low-cost-di-cheng-ben",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/delectable_incubator~baidu-notes-scraper---low-cost-di-cheng-ben/runs": {
"post": {
"operationId": "runs-sync-delectable_incubator-baidu-notes-scraper---low-cost-di-cheng-ben",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/delectable_incubator~baidu-notes-scraper---low-cost-di-cheng-ben/run-sync": {
"post": {
"operationId": "run-sync-delectable_incubator-baidu-notes-scraper---low-cost-di-cheng-ben",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"required": [
"keywords",
"MAX_ITEMS_PER_KEYWORD"
],
"properties": {
"keywords": {
"title": "Keywords or subjects you wish to search for ๐๐",
"type": "array",
"description": "List of keywords or subjects to search for notes. Each keyword will be scraped separately.",
"items": {
"type": "string"
},
"default": [
"Web",
"ไฝๆๆฌ"
]
},
"MAX_ITEMS_PER_KEYWORD": {
"title": "Max Notes Per Keyword",
"type": "integer",
"description": "Maximum number of notes to extract per keyword (scraper will scroll until this number is reached or no more notes are available)",
"default": 50
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```