# Watsonstw Pharser Spider (`getdataforme/watsonstw-pharser-spider`) Actor
Watsonstw Pharser Spider scrapes detailed product reviews from Watsons Taiwan, offering insights into consumer sentiment and product performance....
- **URL**: https://apify.com/getdataforme/watsonstw-pharser-spider.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** AI, E-commerce, Other
- **Stats:** 2 total users, 2 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $9.00 / 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.
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
## Watsonstw Pharser Spider
### Introduction
The Watsonstw Pharser Spider is a powerful tool designed to scrape detailed product reviews and information from Watsons Taiwan. This actor is ideal for businesses and researchers seeking comprehensive insights into product performance and consumer sentiment.
### Features
- **Comprehensive Data Extraction**: Captures detailed product reviews, ratings, and metadata.
- **High Data Quality**: Ensures accurate and reliable data collection.
- **Efficient Performance**: Optimized for fast and efficient scraping.
- **User-Friendly**: Easy setup with minimal configuration required.
- **Customizable Output**: Supports various output formats including JSON, CSV, and Excel.
- **Scalable**: Handles multiple URLs simultaneously for large-scale data collection.
- **Regular Updates**: Continuously updated to adapt to website changes.
### Input Parameters
| Parameter | Type | Required | Description | Example |
|-----------|--------|----------|--------------------------------------|---------|
| Urls | Array | No | The URLs for the spider to scrape. | `["https://www.watsons.com.tw/宣若-染色護髮膜-自然黑色-180g/p/BP_220406?variant=220406"]` |
### Example Usage
#### Example Input JSON
```json
{
"Urls": [
"https://www.watsons.com.tw/宣若-染色護髮膜-自然黑色-180g/p/BP_220406?variant=220406"
]
}
````
#### Example Output JSON
```json
[
{
"Product_Id": "220406",
"Review_Id": "9092378165297",
"Rating": 5,
"Title": "CIELO宣若, 宣若 染色護髮膜 自然黑色 (180g) | 屈臣氏 Watsons",
"Body": "快速 有折扣 包裝好 直接宅配",
"Sentiment": null,
"Section": "",
"Higher_Topic": null,
"Granular_Topic": null,
"Source": "Watsons",
"Full_Review": "CIELO宣若, 宣若 染色護髮膜 自然黑色 (180g) | 屈臣氏 Watsons: 快速 有折扣 包裝好 直接宅配",
"Review_Type": "Product Review",
"Title_Trans": "CIELO宣若, 宣若 染色護髮膜 自然黑色 (180g) | 屈臣氏 Watsons",
"Body_Trans": "快速 有折扣 包裝好 直接宅配",
"Full_Review_Trans": "CIELO宣若, 宣若 染色護髮膜 自然黑色 (180g) | 屈臣氏 Watsons: 快速 有折扣 包裝好 直接宅配",
"Product_Name_Trans": "CIELO宣若, 宣若 染色護髮膜 自然黑色 (180g) | 屈臣氏 Watsons",
"Product_Segment": null,
"Gender": "Unisex",
"Product_Segment2": null,
"Year_Quarter": "2025-Q2",
"Sub_Brand": "CIELO宣若",
"Format": null,
"Country": "Taiwan",
"Date": "04-14-2025",
"Product_Name": "CIELO宣若, 宣若 染色護髮膜 自然黑色 (180g) | 屈臣氏 Watsons",
"Brand": "CIELO宣若",
"URL": "https://www.watsons.com.tw/cielo宣若-宣若-染色護髮膜-自然黑色-180g/p/BP_220406?variant=220406",
"Crawled_Date": "03-30-2026"
}
]
```
### Use Cases
- **Market Research and Analysis**: Gain insights into consumer preferences and product performance.
- **Competitive Intelligence**: Monitor competitor products and reviews.
- **Price Monitoring**: Track pricing trends and changes over time.
- **Content Aggregation**: Collect and analyze user-generated content.
- **Academic Research**: Study consumer behavior and sentiment analysis.
- **Business Automation**: Automate data collection for business intelligence.
### Installation and Usage
1. Search for "Watsonstw Pharser Spider" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters.
4. Click "Start" to begin extraction.
5. Monitor progress in the log.
6. Export results in your preferred format (JSON, CSV, Excel).
### Output Format
The output data is structured in JSON format, containing fields such as `Product_Id`, `Review_Id`, `Rating`, `Title`, `Body`, `Source`, `Date`, and more. Each field provides specific insights into the product and its reviews, enabling detailed analysis.
### Support
For custom/simplified outputs or bug reports, please contact:
- Email: support@getdataforme.com
- Subject line: "custom support"
- Contact form:
We're here to help you get the most out of this Actor!
# Actor input Schema
## `Urls` (type: `array`):
The urls for the spider.
## Actor input object example
```json
{
"Urls": [
"https://www.watsons.com.tw/%E5%AE%A3%E8%8B%A5-%E6%9F%93%E8%89%B2%E8%AD%B7%E9%AB%AE%E8%86%9C-%E8%87%AA%E7%84%B6%E9%BB%91%E8%89%B2-180g/p/BP_220406?variant=220406"
]
}
```
# 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 = {};
// Run the Actor and wait for it to finish
const run = await client.actor("getdataforme/watsonstw-pharser-spider").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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {}
# Run the Actor and wait for it to finish
run = client.actor("getdataforme/watsonstw-pharser-spider").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{}' |
apify call getdataforme/watsonstw-pharser-spider --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=getdataforme/watsonstw-pharser-spider",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Watsonstw Pharser Spider",
"description": "Watsonstw Pharser Spider scrapes detailed product reviews from Watsons Taiwan, offering insights into consumer sentiment and product performance....",
"version": "0.0",
"x-build-id": "L6M3hNfaVglDBKbfz"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/getdataforme~watsonstw-pharser-spider/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-getdataforme-watsonstw-pharser-spider",
"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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/getdataforme~watsonstw-pharser-spider/runs": {
"post": {
"operationId": "runs-sync-getdataforme-watsonstw-pharser-spider",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/getdataforme~watsonstw-pharser-spider/run-sync": {
"post": {
"operationId": "run-sync-getdataforme-watsonstw-pharser-spider",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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",
"properties": {
"Urls": {
"title": "Urls",
"type": "array",
"description": "The urls for the spider.",
"default": [
"https://www.watsons.com.tw/%E5%AE%A3%E8%8B%A5-%E6%9F%93%E8%89%B2%E8%AD%B7%E9%AB%AE%E8%86%9C-%E8%87%AA%E7%84%B6%E9%BB%91%E8%89%B2-180g/p/BP_220406?variant=220406"
],
"items": {
"type": "string"
}
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```