# Baidu News Scraper - Low-cost ไฝๆๆฌ๐ฒ๐ฅ๐จ๐ณ๐ฐ (`delectable_incubator/baidu-news-scraper---low-cost-di-cheng-ben`) Actor
Scrape Baidu News search results easily ๐จ๐ณ๐ฐ with a powerful news scraper.
Extract article URLs, titles, snippets, sources, publication dates, and thumbnails for any keyword.
Ideal for media monitoring, brand tracking, and Baidu News SERP analysis with structured datasets ๐๐
- **URL**: https://apify.com/delectable\_incubator/baidu-news-scraper---low-cost-di-cheng-ben.md
- **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community)
- **Categories:** News, SEO tools, Lead generation
- **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 News Scraper ๐จ๐ณ๐ฐ๐ ็พๅบฆๆฐ้ป็ฌ่ซ
The Baidu News Scraper is a fast, scalable, and reliable Apify Actor designed to extract structured news search results directly from Baidu News.
It is built for media monitoring, brand reputation tracking, PR analysis, competitor intelligence, and China-focused news SERP tracking.
---
### ็พๅบฆๆฐ้ป็ฌ่ซ ๐ง ๐๐
่ฏฅๅทฅๅ
ทๅฏ้่ฟๆน้ๅ
ณ้ฎ่ฏ่ชๅจๆๅ็พๅบฆๆฐ้ปๆ็ดข็ปๆ๏ผๅนถ่ฟๅ็ปๆๅ็ๆฐ้ปๆฐๆฎ๏ผๅ
ๆฌๆฅๆบใๅๅธๆถ้ดใๆ่ฆ็ญไฟกๆฏใ
้ๅธธ้ๅๅชไฝ็ๆตใๅ็่ๆ
ๅๆใๅธๅบ็ ็ฉถไปฅๅAIๆฐๆฎ้ๆๅปบไฝฟ็จใ
---
### 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 News search results at scale
โ
Supports bulk keyword input (multi-search mode)
โ
Extracts structured news article metadata
โ
Handles pagination automatically
โ
Stops at defined limits per keyword
โ
Moves seamlessly between keywords
โ
Clean, structured, analysis-ready output
---
### ๐ Data Extracted
๐งพ News Fields
| Field | Description |
| ------------------- | ------------------------------- |
| ๐ `keyword` | Search keyword used |
| ๐ข `position` | Ranking position in Baidu News |
| ๐ฐ `title` | News article title |
| ๐ `url` | Direct article URL |
| ๐งพ `snippet` | Article summary / description |
| ๐ข `source` | News publisher name |
| ๐ `sourceUrl` | Publisher website URL |
| ๐
`publishedDate` | Publication date (if available) |
| ๐ผ `thumbnail` | Article image (if available) |
| โฑ `searchTimestamp` | Time of extraction |
---
### ๐ How to Use
1๏ธโฃ Configure Input
Provide one or multiple keywords:
````
{
"keywords": \[
"ไบ่็ฝ",
"AI",
"ไธญๅฝ็งๆ"
],
"MAX\_ITEMS\_PER\_KEYWORD": 50
}
```
2๏ธโฃ Run the Actor
โข Performs Baidu News search
โข Extracts structured news 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 news articles per keyword |
---
### ๐ค Output Example
```
{
"keyword": "ไบบๅทฅๆบ่ฝ",
"position": 1,
"title": "ไบบๅทฅๆบ่ฝ่กไธ่ฟๆฅๆฐ็ช็ ด",
"url": "https://example.com/news-article",
"snippet": "ไบบๅทฅๆบ่ฝๆๆฏๆญฃๅจๅ ้ๅๅฑ...",
"source": "ๆฐๅ็คพ",
"sourceUrl": "https://example.com",
"publishedDate": "2026-02-13",
"thumbnail": "https://example.com/image.jpg",
"searchTimestamp": "2026-02-13T14:32:21.000Z"
}
````
---
### ๐ Output explanation
| Field | Description |
| ----------------- | ----------------------- |
| `keyword` | Search term used |
| `position` | Ranking in news results |
| `title` | Article title |
| `url` | Article URL |
| `snippet` | Article summary |
| `source` | News publisher |
| `sourceUrl` | Publisher website |
| `publishedDate` | Publication date |
| `thumbnail` | Article image |
| `searchTimestamp` | Scraping timestamp |
---
### ๐ Why Use This Scraper?
๐ Media Monitoring โ track news coverage in China
๐ต๏ธ Competitor Intelligence โ monitor competitors in Chinese media
๐ท Brand Reputation โ analyze visibility and sentiment
๐ฐ PR Analysis โ measure impact of campaigns
๐ค Data Collection โ structured datasets for analytics & AI
๐ Automation Ready โ schedule recurring scraping runs
๐ SERP Intelligence โ understand news 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:** $9.98 / 1000 results
---
### Related Actors
If you're interested in SEO scraping solutions, explore more tools:
(Coming soon)
---
### ๐ฌ Support
โญโญโญโญโญ Leave a 5-star rating if you like this tool
---
### ๐ PrimeScrape
Built for scalable web data extraction & automation
Contact for custom scraping solutions or enterprise requests via Apify or by email.
# Actor input Schema
## `keywords` (type: `array`):
List of keywords or topics to search for. Each keyword will be scraped separately.
่ฆๆ็ดข็ๅ
ณ้ฎ่ฏๆไธป้ขๅ่กจใๆฏไธชๅ
ณ้ฎ่ฏๅฐๅๅซ่ฟ่กๆๅใ
## `MAX_ITEMS_PER_KEYWORD` (type: `integer`):
Maximum number of news articles to extract per keyword.
ๆฏไธชๅ
ณ้ฎ่ฏ่ฆๆๅ็ๆฐ้ปๆ็ซ ๆๅคงๆฐ้ใ
## Actor input object example
```json
{
"keywords": [
"็ฝ็ป",
"Web"
],
"MAX_ITEMS_PER_KEYWORD": 50
}
````
# Actor output Schema
## `overview` (type: `string`):
No description
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"keywords": [
"็ฝ็ป",
"Web"
],
"MAX_ITEMS_PER_KEYWORD": 50
};
// Run the Actor and wait for it to finish
const run = await client.actor("delectable_incubator/baidu-news-scraper---low-cost-di-cheng-ben").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`๐พ Check your data here: https://console.apify.com/storage/datasets/${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": [
"็ฝ็ป",
"Web",
],
"MAX_ITEMS_PER_KEYWORD": 50,
}
# Run the Actor and wait for it to finish
run = client.actor("delectable_incubator/baidu-news-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": [
"็ฝ็ป",
"Web"
],
"MAX_ITEMS_PER_KEYWORD": 50
}' |
apify call delectable_incubator/baidu-news-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-news-scraper---low-cost-di-cheng-ben",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Baidu News Scraper - Low-cost ไฝๆๆฌ๐ฒ๐ฅ๐จ๐ณ๐ฐ",
"description": "Scrape Baidu News search results easily ๐จ๐ณ๐ฐ with a powerful news scraper. \n\nExtract article URLs, titles, snippets, sources, publication dates, and thumbnails for any keyword. \n\nIdeal for media monitoring, brand tracking, and Baidu News SERP analysis with structured datasets ๐๐",
"version": "0.0",
"x-build-id": "2l3kJwSH8l3xq1vuZ"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/delectable_incubator~baidu-news-scraper---low-cost-di-cheng-ben/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-delectable_incubator-baidu-news-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/delectable_incubator~baidu-news-scraper---low-cost-di-cheng-ben/runs": {
"post": {
"operationId": "runs-sync-delectable_incubator-baidu-news-scraper---low-cost-di-cheng-ben",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/delectable_incubator~baidu-news-scraper---low-cost-di-cheng-ben/run-sync": {
"post": {
"operationId": "run-sync-delectable_incubator-baidu-news-scraper---low-cost-di-cheng-ben",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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 topics ๐๐ฐ | ๅ
ณ้ฎ่ฏๆไธป้ข ๐๐ฐ",
"type": "array",
"description": "List of keywords or topics to search for. Each keyword will be scraped separately.\n\n่ฆๆ็ดข็ๅ
ณ้ฎ่ฏๆไธป้ขๅ่กจใๆฏไธชๅ
ณ้ฎ่ฏๅฐๅๅซ่ฟ่กๆๅใ",
"items": {
"type": "string"
},
"default": [
"็ฝ็ป",
"Web"
]
},
"MAX_ITEMS_PER_KEYWORD": {
"title": "Max items per keyword | ๆฏไธชๅ
ณ้ฎ่ฏ็ๆๅคงๆกๆฐ",
"type": "integer",
"description": "Maximum number of news articles to extract per keyword.\n\nๆฏไธชๅ
ณ้ฎ่ฏ่ฆๆๅ็ๆฐ้ปๆ็ซ ๆๅคงๆฐ้ใ",
"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
}
}
}
}
}
}
}
}
}
}
```