# Baidu Videos Scraper - Low-cost ไฝๆๆฌ๐ฒ๐ฅ๐บ๐จ๐ณ (`delectable_incubator/baidu-videos-scraper---low-cost-di-cheng-ben`) Actor
Scrape Baidu Video search results easily ๐จ๐ณ๐ฅ with a powerful video SERP scraper.
Extract video URLs, titles, thumbnails, durations, sources, and publication dates for any keyword.
Ideal for video trend analysis, content research, and Baidu SERP tracking with structured datasets ๐๐
- **URL**: https://apify.com/delectable\_incubator/baidu-videos-scraper---low-cost-di-cheng-ben.md
- **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community)
- **Categories:** Videos, SEO tools, 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 All-in-One Scraper ๐จ๐ณ๐๐๐
The Baidu All-in-One Scraper is a fast, scalable, and powerful Apify Actor designed to extract structured data from multiple Baidu verticals in a single unified workflow.
It supports Web Search, Images, Videos, News, Notes, and Library results, making it a complete solution for China market research, SEO intelligence, brand monitoring, competitor analysis, and AI dataset generation.
---
### ็พๅบฆๅ
จ่ฝ็ฌ่ซ ๐ง ๐๐
่ฏฅๅทฅๅ
ทๅฏ้่ฟๆน้ๅ
ณ้ฎ่ฏ่ชๅจๆๅ็พๅบฆๅคไธชๆ็ดขๅ็ด้ขๅ็ๆฐๆฎ๏ผๅ
ๆฌ็ฝ้กตใๅพ็ใ่ง้ขใๆฐ้ปใ็ฌ่ฎฐๅๆๅบใ
้ๅธธ้ๅๅธๅบ็ ็ฉถใSEOๅๆใๅ็็ๆตใ็ซๅๅๆไปฅๅ AI ๆฐๆฎ้ๆๅปบไฝฟ็จใ
---
### ๐ฏ What This Scraper Does
Simply provide keywords and select a Baidu vertical โ the scraper handles everything automatically.
โ
Supports multiple Baidu verticals (Search, Images, Videos, News, Notes, Library)
โ
Bulk keyword processing in a single run
โ
Extracts clean structured SERP data
โ
Handles pagination and scrolling automatically
โ
Stops at defined limits per keyword
โ
Seamlessly processes multiple keywords
โ
Fully automation-ready for scheduling workflows
โ
Optimized for Baidu SERP structure
---
### ๐ Data Extracted
Depending on the selected searchType, the scraper extracts:
| Field | Description |
| ----------------- | ------------------------------ |
| `keyword` | Search keyword used |
| `position` | Ranking position in results |
| `title` | Result title |
| `url` | Direct result URL |
| `displayedUrl` | Visible display URL |
| `snippet` | Description / summary |
| `domain` | Source domain |
| `thumbnail` | Thumbnail image (if available) |
| `imageUrl` | Direct image URL (Images mode) |
| `source` | Publisher / platform |
| `author` | Author name (if available) |
| `publishedDate` | Publication date (News/Notes) |
| `duration` | Video duration (Videos mode) |
| `score` | Relevance / rating score |
| `pageCount` | Document pages (Library mode) |
| `viewCount` | Views (if available) |
| `likes` | Engagement metrics |
| `searchTimestamp` | Time of extraction |
---
### ๐ How to Use
1๏ธโฃ Select a Baidu search type
2๏ธโฃ Enter one or multiple keywords
3๏ธโฃ Set maximum results per keyword
4๏ธโฃ Run the Actor
5๏ธโฃ Export data in JSON, CSV, Excel, XML, or HTML
---
### โ๏ธ Input Configuration
#### ๐ฅ Input Example
````
{
"keywords": \["ไบบๅทฅๆบ่ฝ", "็งๆ", "ไธญๅฝๅธๅบ"],
"MAX\_ITEMS\_PER\_KEYWORD": 50
}
```
#### Input Fields
| Field | Type | Description |
| ----------------------- | ------- | ------------------------------------------------ |
| `searchType` | string | Baidu vertical (search, images, videos, news...) |
| `keywords` | array | List of keywords |
| `MAX_ITEMS_PER_KEYWORD` | integer | Maximum results per keyword |
---
### ๐ค Output Example
```
{
"keyword": "ไบบๅทฅๆบ่ฝ",
"position": 1,
"title": "ไบบๅทฅๆบ่ฝๅๅฑ่ถๅฟๅๆ",
"url": "https://example.com/article",
"displayedUrl": "example.com/article",
"snippet": "ๆฌๆไป็ปไบไบบๅทฅๆบ่ฝ็ๅๅฑ็ฐ็ถ...",
"domain": "example.com",
"publishedDate": "2026-02-13",
"searchTimestamp": "2026-02-13T14:32:21.000Z"
}
````
---
### ๐ Output explanation
| Field | Description |
| ----------------- | ------------------ |
| `keyword` | Search term used |
| `position` | Ranking position |
| `title` | Result title |
| `url` | Result URL |
| `snippet` | Description text |
| `domain` | Source domain |
| `thumbnail` | Preview image |
| `imageUrl` | Image URL (Images) |
| `source` | Publisher |
| `author` | Author name |
| `publishedDate` | Publication date |
| `duration` | Video duration |
| `score` | Relevance score |
| `pageCount` | Document pages |
| `viewCount` | Views |
| `likes` | Engagement metric |
| `searchTimestamp` | Extraction time |
---
### ๐ Why Use This Scraper?
๐ China SEO Research โ track rankings across Baidu verticals
๐ต๏ธ Competitor Monitoring โ analyze visibility across formats
๐ท Brand Monitoring โ track brand mentions in China ecosystem
๐จ Content Discovery โ identify trends across media types
๐ค AI Dataset Creation โ build structured multi-source datasets
๐ Automation Ready โ schedule recurring scraping runs
๐ SERP Intelligence โ understand Baidu ranking behavior
---
### โ ๏ธ Disclaimer
This tool is an independent solution and is not affiliated with, endorsed by, or sponsored by Baidu or any of its subsidiaries or partners.
---
### ๐ธ Pricing
This scraper runs on a **pay per events subscription model**.
You only pay for **successful runs**.
๐ณ **Price:** $9.98 / 1000 results
---
### Related Actors
If you're interested in SEO scraping solutions, explore more tools:
(Coming soon)
---
### ๐ฌ Support
โญโญโญโญโญ Leave a 5-star rating if you like this tool
---
### ๐ PrimeScrape
Built for scalable web data extraction & automation
Contact for custom scraping solutions or enterprise requests via Apify or by email.
# Actor input Schema
## `keywords` (type: `array`):
List of keywords or topics to search for videos. Each keyword will be scraped separately.
็จไบๆ็ดข่ง้ข็ๅ
ณ้ฎ่ฏๆไธป้ขๅ่กจใๆฏไธชๅ
ณ้ฎ่ฏๅฐๅๅซ่ฟ่กๆๅใ
## `MAX_ITEMS_PER_KEYWORD` (type: `integer`):
Maximum number of videos to extract per keyword.
ๆฏไธชๅ
ณ้ฎ่ฏ่ฆๆๅ็่ง้ขๆๅคงๆฐ้ใ
## Actor input object example
```json
{
"keywords": [
"Web",
"ไฝๆๆฌ"
],
"MAX_ITEMS_PER_KEYWORD": 30
}
````
# Actor output Schema
## `overview` (type: `string`):
No description
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"keywords": [
"Web",
"ไฝๆๆฌ"
],
"MAX_ITEMS_PER_KEYWORD": 30
};
// Run the Actor and wait for it to finish
const run = await client.actor("delectable_incubator/baidu-videos-scraper---low-cost-di-cheng-ben").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`๐พ Check your data here: https://console.apify.com/storage/datasets/${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": 30,
}
# Run the Actor and wait for it to finish
run = client.actor("delectable_incubator/baidu-videos-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": 30
}' |
apify call delectable_incubator/baidu-videos-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-videos-scraper---low-cost-di-cheng-ben",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Baidu Videos Scraper - Low-cost ไฝๆๆฌ๐ฒ๐ฅ๐บ๐จ๐ณ",
"description": "Scrape Baidu Video search results easily ๐จ๐ณ๐ฅ with a powerful video SERP scraper. \n\nExtract video URLs, titles, thumbnails, durations, sources, and publication dates for any keyword. \n\nIdeal for video trend analysis, content research, and Baidu SERP tracking with structured datasets ๐๐",
"version": "0.0",
"x-build-id": "tpKlYkmBrIfzsXMYy"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/delectable_incubator~baidu-videos-scraper---low-cost-di-cheng-ben/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-delectable_incubator-baidu-videos-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/delectable_incubator~baidu-videos-scraper---low-cost-di-cheng-ben/runs": {
"post": {
"operationId": "runs-sync-delectable_incubator-baidu-videos-scraper---low-cost-di-cheng-ben",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/delectable_incubator~baidu-videos-scraper---low-cost-di-cheng-ben/run-sync": {
"post": {
"operationId": "run-sync-delectable_incubator-baidu-videos-scraper---low-cost-di-cheng-ben",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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 ๐๐ฅ | ๅ
ณ้ฎ่ฏๆไธป้ข ๐๐ฅ",
"type": "array",
"description": "List of keywords or topics to search for videos. Each keyword will be scraped separately.\n\n็จไบๆ็ดข่ง้ข็ๅ
ณ้ฎ่ฏๆไธป้ขๅ่กจใๆฏไธชๅ
ณ้ฎ่ฏๅฐๅๅซ่ฟ่กๆๅใ",
"items": {
"type": "string"
},
"default": [
"Web",
"ไฝๆๆฌ"
]
},
"MAX_ITEMS_PER_KEYWORD": {
"title": "Max videos per keyword | ๆฏไธชๅ
ณ้ฎ่ฏ็ๆๅคง่ง้ขๆฐ",
"type": "integer",
"description": "Maximum number of videos to extract per keyword.\n\nๆฏไธชๅ
ณ้ฎ่ฏ่ฆๆๅ็่ง้ขๆๅคงๆฐ้ใ",
"default": 30
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```