# Blueland Category Spider (`getdataforme/blueland-category-spider`) Actor

Scrape Blueland's category pages effortlessly with this Apify Actor. Extract product titles, prices, badges, and links in clean JSON format for e-commerce analysis, market research, and price monitoring....

- **URL**: https://apify.com/getdataforme/blueland-category-spider.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** AI, Agents, E-commerce
- **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: 5.00 out of 5 stars

## 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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

## Blueland Category Spider

The Blueland Category Spider is a powerful Apify Actor designed to scrape product information from Blueland's category pages. It extracts key details like titles, prices, badges, and links, enabling efficient data collection for e-commerce analysis. This tool streamlines the process of gathering structured data from Blueland's online store, saving time and effort for users focused on product research and monitoring.

### Features

- **Efficient Scraping**: Quickly extracts product data from specified Blueland category URLs, handling multiple pages seamlessly.
- **Structured Output**: Delivers clean JSON data with fields like title, href, price, badges, and timestamps for easy integration.
- **Flexible Input**: Accepts a list of URLs, allowing targeted scraping of specific categories or product listings.
- **Reliable Performance**: Built on Apify's robust infrastructure, ensuring high uptime and error-resistant operations.
- **Data Quality**: Includes crawled dates and actor/run IDs for traceability and versioning.
- **No Coding Required**: User-friendly interface for non-technical users to configure and run extractions.
- **Scalable**: Supports batch processing of URLs, ideal for large-scale data collection projects.

### Input Parameters

| Parameter | Type | Required | Description | Example |
|-----------|------|----------|-------------|---------|
| Urls | array | Yes (min 1 item) | A list of URLs pointing to Blueland category pages to scrape. Each URL must be a valid HTTP/HTTPS link. | \["https://www.blueland.com/products/dish-soap-refill-packs?Scent=Fragrance-Free"] |

### Example Usage

To run the Blueland Category Spider, provide input in JSON format like this:

```json
{
  "Urls": [
    "https://www.blueland.com/products/dish-soap-refill-packs?Scent=Fragrance-Free"
  ]
}
```

The Actor will output data in the following JSON structure:

```json
[
  {
    "title": "Dish Soap Refills",
    "href": "https://www.blueland.com/products/dish-soap-refill-packs?Scent=Fragrance-Free",
    "price": "Quick Add",
    "badges": [],
    "crawled_date": "2026-01-14",
    "actor_id": "iddKClVaeEedCghKC",
    "run_id": "6DZCHtUejnueeRb1z"
  }
]
```

### Use Cases

- **Market Research**: Analyze product offerings and pricing trends on Blueland's site to inform business strategies.
- **Competitive Intelligence**: Compare Blueland's products with competitors by extracting detailed listings.
- **Price Monitoring**: Track price changes and availability for specific categories to optimize purchasing decisions.
- **Content Aggregation**: Collect product data for creating catalogs or feeds for e-commerce platforms.
- **Academic Research**: Gather data on sustainable products for studies in environmental science or consumer behavior.
- **Business Automation**: Automate data extraction for inventory management or supplier analysis in retail operations.

### Installation and Usage

1. Search for "Blueland Category 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 is an array of JSON objects, each representing a product from the scraped category pages. Key fields include:

- `title`: The product name (string).
- `href`: Direct link to the product page (string).
- `price`: Pricing or availability info, such as "Quick Add" (string).
- `badges`: Array of any special labels or tags (e.g., promotions).
- `crawled_date`: Date of extraction in YYYY-MM-DD format.
- `actor_id` and `run_id`: Unique identifiers for the Actor and run instance.

This structured format ensures easy parsing and integration with databases or analytics tools.

### Support

For custom/simplified outputs or bug reports, please contact:

- Email: support@getdataforme.com
- Subject line: "custom support"
- Contact form: https://getdataforme.com/contact/

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
{}
```

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("getdataforme/blueland-category-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("getdataforme/blueland-category-spider").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).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/blueland-category-spider --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,getdataforme/blueland-category-spider"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/iddKClVaeEedCghKC/builds/JkgFTs2RTAirvvFS1/openapi.json