# Bouchfresh Url Scraper (`getdataforme/bouchfresh-url-scraper`) Actor
The Bouchfresh Url Scraper extracts detailed data from web pages using CheerioCrawler, delivering structured JSON output for analysis. It supports multiple URLs, ensures data accuracy, and automates collection, making it ideal for market research, competitive intelligence, and academic studies.
- **URL**: https://apify.com/getdataforme/bouchfresh-url-scraper.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** Automation, E-commerce, 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
## Bouchfresh Url Scraper
The Bouchfresh Url Scraper is a powerful tool designed to extract detailed information from specified web pages. Utilizing the CheerioCrawler, this actor efficiently scrapes content, providing structured data for various analytical needs. Ideal for businesses and researchers, it simplifies data collection from multiple URLs.
### Features
- **Efficient Web Scraping**: Quickly extracts data from specified URLs using CheerioCrawler.
- **Structured Output**: Provides clean, structured JSON data for easy analysis.
- **High Reliability**: Ensures data accuracy and completeness.
- **Scalable Performance**: Handles multiple URLs simultaneously without compromising speed.
- **Customizable Inputs**: Easily configure start URLs to target specific web pages.
- **Automated Data Collection**: Reduces manual data entry and errors.
- **Versatile Applications**: Suitable for various industries and research purposes.
### Input Parameters
| Parameter | Type | Required | Description | Example |
|------------|--------|----------|----------------------------------|-------------------------------------------------------------------------|
| startUrls | array | Yes | URLs to start with. | `[{"url": "https://www.ariel.co.uk/en-gb/product/by-type/pods/ariel-original-all-in-1-pods"}]` |
### Example Usage
#### Example Input JSON
```json
{
"startUrls": [
{
"url": "https://www.ariel.co.uk/en-gb/product/by-type/pods/ariel-original-all-in-1-pods"
}
]
}
````
#### Example Output JSON
```json
[
{
"title": "Ariel Original All-in-1 PODS®",
"shortDescription": "The washing capsules provide brilliant stain removal in a cold wash.",
"fullDescription": "Ariel Original All-in-1 PODS® washing capsules have everything you need for clean, bright and fresh-smelling clothes in a tiny, but powerful capsule. Pod away serious sweat stains, dirt and stubborn food particles even in a cold wash thanks to the unique COOL CLEAN Technology™. This technology has been designed by scientists to provide brilliant stain removal even in challenging washing environments, like cold water, meaning you can get an outstanding cleaning performance whilst saving energy.\n\nAriel All-in-1 PODS® come with a smart, multi-compartment design that keeps ingredients separate until they reach the water. Upon contact, the water-soluble film dissolves to release powerful stain-removing technologies, offering our deepest and strongest All-in-1 PODS® Original clean ever.\n\nAriel Original All-in-1 PODS® are made with water-soluble film that rapidly dissolves upon contact with water, and does not contribute to plastic or microplastic pollution, as per EU Synthetic Polymeric Microparticles Regulation.\n\nAdditionally, Ariel PODS® can help reduce plastic thanks to their recyclable SECURECLIC® cardboard box. They’re also designed to preserve your PODS®, so they can be powerful for longer.\n\nThe PODS® washing capsules have to be put in the drum towards the back first before putting the load on top.\n\nTo prevent the PODS® washing capsules from dissolving before use, you should always close the tub and handle with dry hands.",
"howToUse": [
"1. Put approximately 4-6 kg clothes in the washing machine",
"2. Put one POD into the drum",
"3. Load the clothes",
"4. Wash the clothes in any temperature and any machine"
],
"howToDose": "The PODS® washing capsules have to be put in the drum towards the back first before putting the load on top.\n- The PODS® washing capsules have to be put in the drum towards the back first before putting the load on top.\n- for soft to medium water, light to medium soiled loads, is one PODS® washing capsule per wash\n- for hard water and difficult/heavy soil load, we recommend using 2 PODS® per wash\n- To prevent the PODS® washing capsules from dissolving before use, you should always close the tub and handle with dry hands.",
"url": "https://www.ariel.co.uk/en-gb/product/by-type/pods/ariel-original-all-in-1-pods",
"scrapedAt": "2026-04-22T08:49:19.147Z"
}
]
```
### Use Cases
- **Market Research and Analysis**: Gather product details and consumer insights.
- **Competitive Intelligence**: Monitor competitor offerings and strategies.
- **Price Monitoring**: Track pricing changes across multiple platforms.
- **Content Aggregation**: Collect and organize content for blogs or news sites.
- **Academic Research**: Extract data for research papers and studies.
- **Business Automation**: Automate data collection processes for efficiency.
### Installation and Usage
1. Search for "Bouchfresh Url Scraper" 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 is a JSON array containing objects with the following fields:
- **title**: The title of the product or page.
- **shortDescription**: A brief description of the product.
- **fullDescription**: Detailed information about the product.
- **howToUse**: Instructions on how to use the product.
- **howToDose**: Dosage instructions.
- **url**: The URL of the scraped page.
- **scrapedAt**: Timestamp of when the data was scraped.
### 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
## `startUrls` (type: `array`):
URLs to start with.
## Actor input object example
```json
{
"startUrls": [
{
"url": "https://www.ariel.co.uk/en-gb/product/by-type/pods/ariel-original-all-in-1-pods"
}
]
}
```
# 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 = {
"startUrls": [
{
"url": "https://www.ariel.co.uk/en-gb/product/by-type/pods/ariel-original-all-in-1-pods"
}
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("getdataforme/bouchfresh-url-scraper").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 = { "startUrls": [{ "url": "https://www.ariel.co.uk/en-gb/product/by-type/pods/ariel-original-all-in-1-pods" }] }
# Run the Actor and wait for it to finish
run = client.actor("getdataforme/bouchfresh-url-scraper").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 '{
"startUrls": [
{
"url": "https://www.ariel.co.uk/en-gb/product/by-type/pods/ariel-original-all-in-1-pods"
}
]
}' |
apify call getdataforme/bouchfresh-url-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=getdataforme/bouchfresh-url-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Bouchfresh Url Scraper",
"description": "The Bouchfresh Url Scraper extracts detailed data from web pages using CheerioCrawler, delivering structured JSON output for analysis. It supports multiple URLs, ensures data accuracy, and automates collection, making it ideal for market research, competitive intelligence, and academic studies.",
"version": "0.0",
"x-build-id": "f13ywSa5tRvMP3Co1"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/getdataforme~bouchfresh-url-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-getdataforme-bouchfresh-url-scraper",
"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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/getdataforme~bouchfresh-url-scraper/runs": {
"post": {
"operationId": "runs-sync-getdataforme-bouchfresh-url-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/getdataforme~bouchfresh-url-scraper/run-sync": {
"post": {
"operationId": "run-sync-getdataforme-bouchfresh-url-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": [
"startUrls"
],
"properties": {
"startUrls": {
"title": "Enter Start URLs",
"type": "array",
"description": "URLs to start with.",
"items": {
"type": "object",
"required": [
"url"
],
"properties": {
"url": {
"type": "string",
"title": "URL of a web page",
"format": "uri"
}
}
}
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```