# Blossybox Details Spider (`getdataforme/blossybox-details-spider`) Actor

Bloomsybox Details Spider scrapes comprehensive product data from Bloomsybox, including pricing, images, and details, in structured JSON. Ideal for e-commerce analysis, market research, and competitive intelligence....

- **URL**: https://apify.com/getdataforme/blossybox-details-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, 0 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/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

### Description

Bloomsybox Details Spider scrapes comprehensive product data from Bloomsybox, including pricing, images, and details, in structured JSON. Ideal for e-commerce analysis, market research, and competitive intelligence....

***

## Bloomsybox Details Spider

The Bloomsybox Details Spider is an Apify Actor designed to scrape detailed product information from Bloomsybox, a popular online flower delivery service. It extracts comprehensive data such as product details, pricing, images, and organizational information in a structured JSON format, making it ideal for e-commerce analysis, market research, and competitive intelligence. This Actor ensures reliable, high-quality data extraction with minimal setup, empowering users to gather insights efficiently.

### Features

- **Comprehensive Data Extraction**: Scrapes detailed product info including name, description, images, pricing, availability, and shipping details from Bloomsybox pages.
- **Structured JSON Output**: Delivers clean, machine-readable data with nested objects for organization, webpage, breadcrumbs, and product specifics.
- **Flexible URL Input**: Accepts multiple URLs for batch processing, allowing users to scrape multiple products in a single run.
- **High Reliability**: Built with robust error handling to manage varying page structures and ensure consistent results.
- **Fast Performance**: Optimized for quick scraping with minimal resource usage, suitable for large-scale data collection.
- **Apify Integration**: Seamlessly integrates with Apify's platform for easy scheduling, monitoring, and data export.
- **No Coding Required**: User-friendly interface for non-technical users to configure and run extractions effortlessly.

### Input Parameters

| Parameter | Type | Required | Description | Example |
|-----------|------|----------|-------------|---------|
| Urls | array | No | A list of URLs to scrape product details from Bloomsybox. Each URL must be a valid HTTP/HTTPS link. | \["https://www.bloomsybox.com/p/rose-red-hearts-bouquet"] |

### Example Usage

To run the Actor, provide the input parameters in JSON format. Here's an example:

```json
{
  "Urls": [
    "https://www.bloomsybox.com/p/rose-red-hearts-bouquet"
  ]
}
```

The Actor will output a JSON array of objects. Example output for the above input:

```json
[
  {
    "organization": {
      "name": "BloomsyBox",
      "url": "https://www.bloomsybox.com/",
      "telephone": "+18005180957",
      "logo": "https://www.datocms-assets.com/32926/1597708959-logobloomsy.svg",
      "address": {
        "street": "2200 NW 70th Ave",
        "city": "Miami",
        "region": "FL",
        "postal_code": "33122",
        "country": "US"
      }
    },
    "webpage": {
      "name": "Deep Romance 24 stems",
      "url": "https://www.bloomsybox.com/p/rose-red-hearts-bouquet",
      "language": "en-US"
    },
    "breadcrumbs": [
      {
        "position": 1,
        "name": "Flower Shop",
        "url": "https://www.bloomsybox.com/send-flowers"
      },
      {
        "position": 2,
        "name": "Deep Romance",
        "url": "https://www.bloomsybox.com/p/rose-red-hearts-bouquet"
      }
    ],
    "product": {
      "name": "Deep Romance",
      "url": "https://www.bloomsybox.com/p/rose-red-hearts-bouquet",
      "sku": "BB221-24",
      "description": "Express your love with Rose Red Hearts from BloomsyBox. Enjoy refined flower delivery for anniversaries, Valentine\u2019s Day, and romantic celebrations. Order your heartfelt bouquet online today.",
      "images": [
        "https://www.datocms-assets.com/32926/1756156153-rose-red-hearts24_front.jpg",
        "https://www.datocms-assets.com/32926/1756156679-rose-red-hearts24_lifestyle.jpg",
        "https://www.datocms-assets.com/32926/1756125816-rose-red-hearts24_boxside.jpg",
        "https://www.datocms-assets.com/32926/1687445558-4_bb1125-18_rose-red-hearts_stems.jpg"
      ],
      "brand": "BloomsyBox",
      "offers": {
        "price": "59.99",
        "currency": "USD",
        "availability": "https://schema.org/InStock",
        "condition": "https://schema.org/NewCondition",
        "shipping_price": "16.99",
        "shipping_currency": "USD",
        "shipping_country": "US",
        "transit_days": 1,
        "business_days": [
          "Monday",
          "Tuesday",
          "Wednesday",
          "Thursday",
          "Friday"
        ]
      }
    },
    "actor_id": "9XElhZVHrZYzac4kg",
    "run_id": "2YfZxXtpprI5e5mnK"
  }
]
```

### Use Cases

- **Market Research and Analysis**: Gather detailed product data to analyze trends in the flower delivery market.
- **Competitive Intelligence**: Compare pricing, descriptions, and availability with competitors.
- **Price Monitoring**: Track price changes and shipping costs for dynamic pricing strategies.
- **Content Aggregation**: Collect product images and descriptions for e-commerce platforms or blogs.
- **Academic Research**: Study consumer behavior in online floral purchases with structured data.
- **Business Automation**: Automate data collection for inventory management or sales forecasting.

### Installation and Usage

1. Search for "Bloomsybox Details 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 a JSON array of objects, each representing a scraped product. Key fields include:

- **organization**: Details about Bloomsybox, such as name, URL, contact info, and address.
- **webpage**: Page metadata like name, URL, and language.
- **breadcrumbs**: Navigation path with positions, names, and URLs.
- **product**: Core product info including name, SKU, description, images, brand, and offers (price, currency, availability, shipping details).
- **actor\_id** and **run\_id**: Identifiers for the Actor run.

Data is structured for easy parsing and integration into databases or analysis 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
{
  "Urls": [
    "https://www.bloomsybox.com/p/rose-red-hearts-bouquet"
  ]
}
```

# 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 '<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/blossybox-details-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/blossybox-details-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/blossybox-details-spider --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,getdataforme/blossybox-details-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/9XElhZVHrZYzac4kg/builds/FR6ZlCbpVspm11k2r/openapi.json
