# Apodiscounter Discovery Spider (`getdataforme/apodiscounter-discovery-spider`) Actor
The Apodiscounter Discovery Spider efficiently extracts detailed product information from the ApoDiscounter website, including pricing, discounts, and reviews....
- **URL**: https://apify.com/getdataforme/apodiscounter-discovery-spider.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** E-commerce, Automation, Lead generation
- **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
---
## Apodiscounter Discovery Spider
### Introduction
The Apodiscounter Discovery Spider is a powerful web scraping tool designed to extract detailed product information from the ApoDiscounter website. It enables users to gather data on various products, including pricing, discounts, and reviews, facilitating informed decision-making in competitive analysis and market research.
### Features
- **Comprehensive Data Extraction**: Captures essential product details such as name, image, price, discount percentage, and manufacturer.
- **Customizable Queries**: Allows users to specify search terms for targeted data collection.
- **Flexible Item Limit**: Users can set a maximum number of items to scrape per run or opt for no limit.
- **High Data Quality**: Ensures reliable and accurate product information extraction.
- **User-Friendly Configuration**: Simple setup with intuitive input parameters.
### Input Parameters
| Parameter | Type | Required | Description | Example |
|-------------|---------|----------|-----------------------------------------------------------------------------|-------------------------------|
| Query | array | No | The query for the spider. | `["eye cream"]` |
| item_limit | integer | No | Maximum items to scrape per actor run. Set to 0 for no limit. | `10` |
### Example Usage
#### Input JSON
```json
{
"Query": ["eye cream"],
"item_limit": 10
}
````
#### Output JSON
```json
[
{
"product_name": "Biomaris Super Rich Eye Cream",
"product_image": "https://www.apodiscounter.de/images/product_images/thumbnail_images/biomaris-super-rich-eye-cream-15-ml-pzn-11600944.jpg",
"rating_count": 2,
"no_of_reviews": 2,
"features": {
"manufacturer": "BIOMARIS GmbH & Co. KG",
"form": "Creme",
"eyecatcher": "-16%",
"highlighted_name": "Biomaris Super Rich Eye Cream"
},
"discounted_price": 23.69,
"actual_price": 28.5,
"amount": "15 ml",
"save_percent": 16.88,
"product_url": "https://www.apodiscounter.de/biomaris-super-rich-eye-cream-15ml-pzn-11600944",
"actor_id": "ZXbcNfs5gbApKEh3K",
"run_id": "uYpGj7KbZIbJfQ0ku"
},
{
"product_name": "NeoStrata Hydra Filling Eye Cream ",
"product_image": "https://www.apodiscounter.de/images/product_images/thumbnail_images/neostrata-hydra-filling-eye-cream-15-g-pzn-19827044.jpg",
"rating_count": 8,
"no_of_reviews": 8,
"features": {
"manufacturer": "Derma Enzinger GmbH",
"form": "Creme",
"eyecatcher": "-23%",
"highlighted_name": "NeoStrata Hydra Filling Eye Cream "
},
"discounted_price": 37.79,
"actual_price": 49.5,
"amount": "15 g",
"save_percent": 23.66,
"product_url": "https://www.apodiscounter.de/neostrata-hydra-filling-eye-cream-15g-pzn-19827044",
"actor_id": "ZXbcNfs5gbApKEh3K",
"run_id": "uYpGj7KbZIbJfQ0ku"
},
{
"product_name": "Biomaris Super Rich Cream ohne Parfรผm und Super Rich Eye Cream",
"product_image": "https://www.apodiscounter.de/images/product_images/thumbnail_images/biomaris-super-rich-cream-ohne-parfuem-und-super-rich-eye-cream-5015-ml-pzn-08106480.jpg",
"rating_count": 10,
"no_of_reviews": 10,
"features": {
"manufacturer": "BIOMARIS GmbH & Co. KG",
"form": "",
"eyecatcher": "-15%",
"highlighted_name": "Biomaris Super Rich Cream ohne Parfรผm und Super Rich Eye Cream"
},
"discounted_price": 57.69,
"actual_price": 68,
"amount": "50+15 ml",
"save_percent": 15.16,
"product_url": "https://www.apodiscounter.de/biomaris-super-rich-cream-ohne-parfuem-und-super-rich-eye-cream-5015ml-pzn-08106480",
"actor_id": "ZXbcNfs5gbApKEh3K",
"run_id": "uYpGj7KbZIbJfQ0ku"
}
]
```
### Use Cases
- **Market Research and Analysis**: Gather competitive product data for strategic insights.
- **Competitive Intelligence**: Monitor competitor pricing and promotions.
- **Price Monitoring**: Track price changes over time to identify trends.
- **Content Aggregation**: Compile product information for content creation.
- **Academic Research**: Collect data for studies on consumer behavior or market dynamics.
- **Business Automation**: Integrate with systems for automated reporting and alerts.
### Installation and Usage
1. Search for "Apodiscounter Discovery Spider" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters as needed.
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 of product objects, each containing:
- `product_name`: Name of the product.
- `product_image`: URL to the product image.
- `rating_count`: Number of ratings received.
- `no_of_reviews`: Total number of reviews.
- `features`: Object with details like manufacturer, form, eyecatcher, and highlighted name.
- `discounted_price`: Current price after discount.
- `actual_price`: Original price before discount.
- `amount`: Quantity or size of the product.
- `save_percent`: Percentage saved from the original price.
- `product_url`: Direct link to the product page.
- `actor_id`: Unique identifier for the actor run.
- `run_id`: Unique identifier for the specific execution.
### Error Handling
The spider is designed to handle common web scraping errors, such as network issues or changes in website structure. If an error occurs, it will be logged, and you can review the log for troubleshooting. Ensure that all required fields are filled before running the spider to avoid configuration-related errors.
### Rate Limiting and Best Practices
To ensure optimal performance and compliance with ApoDiscounter's terms of service:
- Avoid setting excessively high item limits.
- Monitor the rate of requests to prevent being blocked.
- Use the actor responsibly, adhering to ethical scraping guidelines.
### Limitations and Considerations
- The spider is tailored for ApoDiscounter; results may vary if website structure changes.
- Ensure compliance with legal and ethical standards when using scraped data.
- Performance may be affected by network conditions or server response times.
# Actor input Schema
## `Query` (type: `array`):
The query for the spider.
## `item_limit` (type: `integer`):
Maximum items to scrape per actor run. Set to 0 for no limit.
## Actor input object example
```json
{
"Query": [
"eye cream"
],
"item_limit": 10
}
```
# Actor output Schema
## `results` (type: `string`):
Scraped data items from dataset
# 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/apodiscounter-discovery-spider").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 = {}
# Run the Actor and wait for it to finish
run = client.actor("getdataforme/apodiscounter-discovery-spider").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 '{}' |
apify call getdataforme/apodiscounter-discovery-spider --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=getdataforme/apodiscounter-discovery-spider",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Apodiscounter Discovery Spider",
"description": "The Apodiscounter Discovery Spider efficiently extracts detailed product information from the ApoDiscounter website, including pricing, discounts, and reviews....",
"version": "0.0",
"x-build-id": "OLyLzTzrloTJYSqRd"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/getdataforme~apodiscounter-discovery-spider/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-getdataforme-apodiscounter-discovery-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/getdataforme~apodiscounter-discovery-spider/runs": {
"post": {
"operationId": "runs-sync-getdataforme-apodiscounter-discovery-spider",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/getdataforme~apodiscounter-discovery-spider/run-sync": {
"post": {
"operationId": "run-sync-getdataforme-apodiscounter-discovery-spider",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"Query": {
"title": "Query",
"type": "array",
"description": "The query for the spider.",
"default": [
"eye cream"
],
"items": {
"type": "string"
}
},
"item_limit": {
"title": "Item limit",
"minimum": 0,
"type": "integer",
"description": "Maximum items to scrape per actor run. Set to 0 for no limit.",
"default": 10
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```