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Bloomsybox Profile Scraper

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Bloomsybox Profile Scraper

Bloomsybox Profile Scraper

The Bloomsybox Profile Scraper efficiently extracts detailed product data from flower delivery pages, including names, SKUs, images, prices, and availability....

Pricing

from $9.00 / 1,000 results

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0.0

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Developer

GetDataForMe

GetDataForMe

Maintained by Community

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0

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2

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1

Monthly active users

14 days ago

Last modified

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Introduction

The Bloomsybox Profile Scraper is a powerful Apify Actor designed to extract detailed product information from Bloomsybox flower delivery pages. It efficiently scrapes key details like product names, SKUs, images, descriptions, prices, and availability, enabling users to gather comprehensive data for various applications. This tool is ideal for e-commerce professionals, researchers, and businesses seeking reliable, structured data from Bloomsybox's online catalog.

Features

  • Comprehensive Data Extraction: Scrapes essential product details including names, SKUs, images, descriptions, prices, and stock status.
  • High Reliability: Built on Apify's robust CheerioCrawler for consistent and accurate scraping, handling dynamic content effectively.
  • Scalable Performance: Processes multiple URLs concurrently, ensuring fast and efficient data collection without overloading servers.
  • Structured Output: Delivers clean, JSON-formatted data that's easy to integrate into databases, spreadsheets, or analytics tools.
  • Error-Resilient: Includes built-in retry mechanisms and logging to handle network issues or site changes gracefully.
  • Customizable Inputs: Accepts a list of start URLs, allowing targeted scraping of specific products or collections.
  • Apify Integration: Seamlessly runs on the Apify platform with options for scheduling, monitoring, and exporting results.

Input Parameters

ParameterTypeRequiredDescriptionExample
startUrlsarrayYesAn array of URLs to start scraping from. Each URL should point to a Bloomsybox product page.[{"url": "https://www.bloomsybox.com/p/black-velvet?collection_page=next-day-delivery&collection_title=Next-Day_Flower_Delivery"}]

Example Usage

Input JSON

{
"startUrls": [
{
"url": "https://www.bloomsybox.com/p/black-velvet?collection_page=next-day-delivery&collection_title=Next-Day_Flower_Delivery"
}
]
}

Output JSON

[
{
"url": "https://www.bloomsybox.com/p/black-velvet?collection_page=next-day-delivery&collection_title=Next-Day_Flower_Delivery",
"name": "Black Velvet",
"sku": "BB1714-24",
"images": [
"https://www.datocms-assets.com/32926/1767721744-bb1714-24_front.jpg",
"https://www.datocms-assets.com/32926/1767721745-bb1714-24_lifestyle.jpg",
"https://www.datocms-assets.com/32926/1767721744-bb1714-24_boxside.jpg",
"https://www.datocms-assets.com/32926/1767721745-bb1714-24_stems.jpg"
],
"description": "Make a bold statement with the Purple Pop rose... (truncated for brevity)",
"price": "69.99",
"priceCurrency": "USD",
"availability": "In Stock",
"offerUrl": "https://www.bloomsybox.com/p/black-velvet",
"scrapedAt": "2026-02-25T11:57:50.598Z"
}
]

Use Cases

  • Market Research and Analysis: Gather pricing and availability data to analyze trends in the flower delivery market.
  • Competitive Intelligence: Monitor competitors' product offerings and pricing strategies on Bloomsybox.
  • Price Monitoring: Track price changes for specific flowers to optimize purchasing or sales decisions.
  • Content Aggregation: Collect product descriptions and images for content creation or catalog building.
  • Academic Research: Study consumer preferences in floral products through structured data collection.
  • Business Automation: Automate data feeds for e-commerce platforms or inventory management systems.

Installation and Usage

  1. Search for "Bloomsybox Profile Scraper" in the Apify Store.
  2. Click "Try for free" or "Run".
  3. Configure input parameters by providing the startUrls array.
  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 Actor outputs an array of JSON objects, each representing a scraped product. Key fields include:

  • url: The original URL scraped.
  • name: Product name.
  • sku: Unique stock-keeping unit.
  • images: Array of image URLs.
  • description: Full product description.
  • price: Price as a string.
  • priceCurrency: Currency code (e.g., USD).
  • availability: Stock status.
  • offerUrl: Direct link to the product.
  • scrapedAt: Timestamp of scraping.

Data is structured for easy parsing and integration.

Support

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

We're here to help you get the most out of this Actor!