# Yahoo Productinfo Parser Spider (`getdataforme/yahoo-productinfo-parser-spider`) Actor
The Yahoo Productinfo Parser Spider extracts detailed product data from Yahoo Shopping URLs, aiding market analysis and competitive intelligence. It offers comprehensive data retrieval, efficient performance, and scalable operations, outputting in JSON for easy conversion to CSV or Excel.
- **URL**: https://apify.com/getdataforme/yahoo-productinfo-parser-spider.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** AI, Automation, E-commerce
- **Stats:** 2 total users, 1 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
## Yahoo Productinfo Parser Spider
The Yahoo Productinfo Parser Spider is a powerful tool designed to extract detailed product information from Yahoo Shopping URLs. This actor enables users to gather comprehensive data for market analysis, competitive intelligence, and more, directly from Yahoo's extensive product listings.
### Features
- **Comprehensive Data Extraction**: Retrieves detailed product information including names, prices, ratings, and reviews.
- **High Data Quality**: Ensures accurate and up-to-date information by scraping directly from Yahoo Shopping.
- **Efficient Performance**: Optimized for fast data retrieval, handling multiple URLs simultaneously.
- **User-Friendly Configuration**: Simple input setup with a list of URLs to scrape.
- **Versatile Output**: Provides data in JSON format, easily convertible to CSV or Excel for further analysis.
- **Scalable**: Capable of handling large-scale data extraction tasks for extensive research needs.
### Input Parameters
| Parameter | Type | Required | Description | Example |
|-----------|--------|----------|------------------------------------------|-------------------------------------------------------------------------|
| Urls | Array | Yes | A list of Yahoo Shopping URLs to scrape. | ["https://store.shopping.yahoo.co.jp/hellowstation/x271.html?nodeeplink=0"] |
### Example Usage
#### Example Input JSON
```json
{
"Urls": [
"https://store.shopping.yahoo.co.jp/hellowstation/x271.html?nodeeplink=0",
"https://store.shopping.yahoo.co.jp/kouragumi/270061.html?sc_i=shopping-pc-web-top--bosdeme-item"
]
}
````
#### Example Output JSON
```json
[
{
"url": "https://store.shopping.yahoo.co.jp/kouragumi/270061.html",
"store_name": "越前かに職人 甲羅組",
"store_rating": "true",
"store_review_count": "34,719",
"store_cancel_rate": "0.002%",
"product_name": "【BBQ特集★20％OFFクーポン！】 5分焼くだけのお手軽 ガーリックシュリンプ 500g (26~30尾入) えび エビ 送料無料 海鮮",
"brand": "甲羅組",
"product_code": "270061",
"categories": [
"越前かに職人 甲羅組 > 魚介 > えび",
"食品 > 魚介類、海産物 > エビ > エビ惣菜、加工品"
],
"price": "2,680",
"price_currency": "JPY",
"shipping_cost_yen": null,
"free_shipping_above_yen": null,
"product_rating": "4.55",
"product_review_count": "327",
"review_distribution": {
"stars_5": "66.36%",
"stars_4": "24.77%",
"stars_3": "6.73%",
"stars_2": "1.83%",
"stars_1": "0.31%"
},
"variants": {},
"delivery_info": "東京都は最短5/9（土）8:00-12:00の間でお届け",
"image_urls": [
"https://shopping.c.yimg.jp/lib/kouragumi/image1-270061.jpg",
"https://shopping.c.yimg.jp/lib/kouragumi/setumei_270061_02.jpg"
],
"actor_id": "O6Y4VkwQIwcZYqACJ",
"run_id": "vPfbPfAbw43sii61k"
}
]
```
### Use Cases
- **Market Research and Analysis**: Gather data for understanding market trends and consumer preferences.
- **Competitive Intelligence**: Monitor competitor pricing and product offerings.
- **Price Monitoring**: Track price changes over time for strategic pricing decisions.
- **Content Aggregation**: Compile product information for content creation and updates.
- **Academic Research**: Analyze consumer behavior and product popularity.
- **Business Automation**: Automate data collection for inventory and sales analysis.
### Installation and Usage
1. Search for "Yahoo Productinfo Parser Spider" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters with the desired URLs.
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 is a JSON array where each object contains detailed product information such as `url`, `store_name`, `product_name`, `price`, `product_rating`, and more. This structured format allows for easy data manipulation and 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://store.shopping.yahoo.co.jp/hellowstation/x271.html?nodeeplink=0",
"https://store.shopping.yahoo.co.jp/kouragumi/270061.html?sc_i=shopping-pc-web-top--bosdeme-item",
"https://store.shopping.yahoo.co.jp/sanshin/2401-lm6904.html?sc_i=shopping-pc-web-top--rcsale-item",
"https://store.shopping.yahoo.co.jp/ippudo/00006408.html?sc_i=shopping-pc-web-top--alrnk-item1"
]
}
```
# 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/yahoo-productinfo-parser-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/yahoo-productinfo-parser-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/yahoo-productinfo-parser-spider --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=getdataforme/yahoo-productinfo-parser-spider",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Yahoo Productinfo Parser Spider",
"description": "The Yahoo Productinfo Parser Spider extracts detailed product data from Yahoo Shopping URLs, aiding market analysis and competitive intelligence. It offers comprehensive data retrieval, efficient performance, and scalable operations, outputting in JSON for easy conversion to CSV or Excel.",
"version": "0.0",
"x-build-id": "y5ZK5PmNkapjhROTS"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/getdataforme~yahoo-productinfo-parser-spider/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-getdataforme-yahoo-productinfo-parser-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/getdataforme~yahoo-productinfo-parser-spider/runs": {
"post": {
"operationId": "runs-sync-getdataforme-yahoo-productinfo-parser-spider",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/getdataforme~yahoo-productinfo-parser-spider/run-sync": {
"post": {
"operationId": "run-sync-getdataforme-yahoo-productinfo-parser-spider",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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",
"minItems": 1,
"type": "array",
"description": "The urls for the spider.",
"default": [
"https://store.shopping.yahoo.co.jp/hellowstation/x271.html?nodeeplink=0",
"https://store.shopping.yahoo.co.jp/kouragumi/270061.html?sc_i=shopping-pc-web-top--bosdeme-item",
"https://store.shopping.yahoo.co.jp/sanshin/2401-lm6904.html?sc_i=shopping-pc-web-top--rcsale-item",
"https://store.shopping.yahoo.co.jp/ippudo/00006408.html?sc_i=shopping-pc-web-top--alrnk-item1"
],
"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
}
}
}
}
}
}
}
}
}
}
```