# Baidu Images Scraper - Low-cost๐ฒ๐ฅ๐จ๐ณ๐ผ๏ธ (`delectable_incubator/baidu-images-scraper---low-cost`) Actor
Scrape Baidu Images search results easily ๐จ๐ณ๐ผ๏ธ with a powerful image scraper.
Extract image URLs, thumbnails, titles, dimensions, sizes, and metadata for any keyword.
Ideal for visual research, AI training datasets, trend discovery, and Baidu Images SERP tracking with structured data ๐๐
- **URL**: https://apify.com/delectable\_incubator/baidu-images-scraper---low-cost.md
- **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community)
- **Categories:** Social media, Videos, SEO tools
- **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 Images Scraper ๐๐จ๐ณ๐ผ๏ธ๐ ็พๅบฆๅพ็็ฌ่ซ
The Baidu Images Scraper is a fast, scalable, and reliable Apify Actor designed to extract structured image search results directly from Baidu Images.
It is built for China market intelligence, visual trend tracking, AI dataset creation, brand monitoring, and competitive image SERP analysis.
---
### ็พๅบฆๅพ็็ฌ่ซ ๐ง ๐๐
่ฏฅๅทฅๅ
ทๅฏ้่ฟๆน้ๅ
ณ้ฎ่ฏ่ชๅจๆๅ็พๅบฆๅพ็ๆ็ดข็ปๆ๏ผๅนถ่ฟๅ็ปๆๅใๅนฒๅ็ๅพ็ๅ
ๆฐๆฎ๏ผๆนไพฟ่ฟ่กๅๆใ่ชๅจๅๅค็ๆๆฐๆฎ้ๆๅปบใ
้ๅธธ้ๅไปไบ่ง่งๆฐๆฎ็ธๅ
ณๅทฅไฝ็็ ็ฉถไบบๅใ่ฅ้ไบบๅใๆฐๆฎๅทฅ็จๅธไปฅๅไบบๅทฅๆบ่ฝๅข้ไฝฟ็จใ
---
### 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 Images search results at scale
โ
Supports bulk keyword input (multi-search mode)
โ
Extracts structured image 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 Image Fields
| Field | Description |
| ------------------- | -------------------------------- |
| ๐ `keyword` | Search keyword used |
| ๐ข `position` | Ranking position in Baidu Images |
| ๐ผ `title` | Image title (if available) |
| ๐ `imageUrl` | Direct image URL |
| ๐ผ๏ธ `thumbnailUrl` | Thumbnail preview URL |
| ๐ `sourceUrl` | Original source page URL |
| ๐ `width` | Image width (pixels) |
| ๐ `height` | Image height (pixels) |
| ๐พ `fileSize` | Image file size (if available) |
| โฑ `searchTimestamp` | Timestamp of extraction |
---
### ๐ How to Use
1๏ธโฃ Configure Input
Provide one or multiple keywords:
````
{
"keywords": \[
"ไบบๅทฅๆบ่ฝ",
"็งๆ",
"ไธญๅฝๅๅธ"
],
"MAX\_ITEMS\_PER\_KEYWORD": 50
}
```
2๏ธโฃ Run the Actor
Performs Baidu Images search
Extracts structured image results
Collects metadata per keyword
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 |
| `MAX_ITEMS_PER_KEYWORD` | integer | Maximum images to extract per keyword |
---
### ๐ค Output Example
```
{
"keyword": "ไบบๅทฅๆบ่ฝ",
"position": 1,
"title": "ไบบๅทฅๆบ่ฝๆฆๅฟตๅพ",
"imageUrl": "https://example.com/image.jpg",
"thumbnailUrl": "https://example.com/thumb.jpg",
"sourceUrl": "https://example.com/article",
"width": 1200,
"height": 800,
"fileSize": "245 KB",
"searchTimestamp": "2026-02-13T14:32:21.000Z"
}
````
---
### ๐ Output explanation
| Field | Description |
| ----------------- | ------------------------------- |
| `keyword` | Search term used |
| `position` | Ranking in Baidu Images results |
| `title` | Image title |
| `imageUrl` | Direct image file URL |
| `thumbnailUrl` | Preview image URL |
| `sourceUrl` | Original webpage source |
| `width` | Image width |
| `height` | Image height |
| `fileSize` | File size (if available) |
| `searchTimestamp` | Time of scraping |
---
### ๐ Why Use This Scraper?
๐ China Visual SEO Intelligence โ track image rankings on Baidu
๐ต๏ธ Competitor Visual Monitoring โ analyze brand imagery in China
๐ท Brand Tracking โ monitor logos and visual identity
๐จ Creative Research โ discover trending visuals
๐ค AI Dataset Building โ structured image training data
๐ Automation Ready โ schedule recurring scraping runs
๐ SERP Intelligence โ analyze visual search 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:** $9.98 / 1000 results
---
### Related Actors
If you're interested in business scraping solutions, explore more tools:
(Coming soon)
---
### ๐ฌ Support
โญโญโญโญโญ Leave a 5-star rating if you like this tool
---
### ๐ PrimeScrape
Built for scalable web data extraction & automation
Contact for custom scraping solutions or enterprise requests via Apify or by email.
# Actor input Schema
## `keywords` (type: `array`):
List of keywords or topics to search for images. Each keyword will be scraped separately.
็จไบๆ็ดขๅพ็็ๅ
ณ้ฎ่ฏๆไธป้ขๅ่กจใๆฏไธชๅ
ณ้ฎ่ฏๅฐๅๅซ่ฟ่กๆๅใ
## `MAX_ITEMS_PER_KEYWORD` (type: `integer`):
Maximum number of images to extract per keyword.
ๆฏไธชๅ
ณ้ฎ่ฏ่ฆๆๅ็ๅพ็ๆๅคงๆฐ้ใ
## Actor input object example
```json
{
"keywords": [
"็ฝ็ป",
"Web"
],
"MAX_ITEMS_PER_KEYWORD": 20
}
````
# Actor output Schema
## `overview` (type: `string`):
No description
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"keywords": [
"็ฝ็ป",
"Web"
],
"MAX_ITEMS_PER_KEYWORD": 20
};
// Run the Actor and wait for it to finish
const run = await client.actor("delectable_incubator/baidu-images-scraper---low-cost").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`๐พ Check your data here: https://console.apify.com/storage/datasets/${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": 20,
}
# Run the Actor and wait for it to finish
run = client.actor("delectable_incubator/baidu-images-scraper---low-cost").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": 20
}' |
apify call delectable_incubator/baidu-images-scraper---low-cost --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=delectable_incubator/baidu-images-scraper---low-cost",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Baidu Images Scraper - Low-cost๐ฒ๐ฅ๐จ๐ณ๐ผ๏ธ",
"description": "Scrape Baidu Images search results easily ๐จ๐ณ๐ผ๏ธ with a powerful image scraper. \n\nExtract image URLs, thumbnails, titles, dimensions, sizes, and metadata for any keyword. \n\nIdeal for visual research, AI training datasets, trend discovery, and Baidu Images SERP tracking with structured data ๐๐",
"version": "0.0",
"x-build-id": "akMi5Fyx21c0EYubO"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/delectable_incubator~baidu-images-scraper---low-cost/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-delectable_incubator-baidu-images-scraper---low-cost",
"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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/delectable_incubator~baidu-images-scraper---low-cost/runs": {
"post": {
"operationId": "runs-sync-delectable_incubator-baidu-images-scraper---low-cost",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/delectable_incubator~baidu-images-scraper---low-cost/run-sync": {
"post": {
"operationId": "run-sync-delectable_incubator-baidu-images-scraper---low-cost",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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 ๐๐ผ๏ธ | ๅ
ณ้ฎ่ฏๆไธป้ข ๐๐ผ๏ธ",
"type": "array",
"description": "List of keywords or topics to search for images. Each keyword will be scraped separately.\n\n็จไบๆ็ดขๅพ็็ๅ
ณ้ฎ่ฏๆไธป้ขๅ่กจใๆฏไธชๅ
ณ้ฎ่ฏๅฐๅๅซ่ฟ่กๆๅใ",
"items": {
"type": "string"
},
"default": [
"็ฝ็ป",
"Web"
]
},
"MAX_ITEMS_PER_KEYWORD": {
"title": "Max images per keyword | ๆฏไธชๅ
ณ้ฎ่ฏ็ๆๅคงๅพ็ๆฐ",
"type": "integer",
"description": "Maximum number of images to extract per keyword.\n\nๆฏไธชๅ
ณ้ฎ่ฏ่ฆๆๅ็ๅพ็ๆๅคงๆฐ้ใ",
"default": 20
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```