Fleshlight Scraper

Fleshlight Scraper is a focused data extraction tool that collects product details and pricing information from the Fleshlight online store. It helps teams turn raw product listings into structured, usable data for analysis, monitoring, and decision-making.

     

Created by Bitbash, built to showcase our approach to Scraping and Automation!
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Introduction

This project is built to extract structured e-commerce data from Fleshlight product pages in a reliable and repeatable way. It removes the manual effort from tracking products, prices, and catalog changes, and turns them into clean datasets ready for analysis. It’s designed for developers, analysts, and businesses that need consistent product intelligence without babysitting the process.

Built for Product Intelligence

• Collects structured product and pricing data at scale
• Handles dynamic e-commerce storefronts reliably
• Outputs data ready for spreadsheets, dashboards, or APIs
• Supports recurring runs for long-term tracking
• Designed to be simple to extend and maintain

Features

Feature	Description
Product data extraction	Captures detailed product information directly from listings.
Price monitoring	Tracks current prices to help detect changes over time.
Structured outputs	Delivers clean, well-organized data formats for easy reuse.
Scalable crawling	Handles large product catalogs efficiently.
Configurable runs	Allows flexible control over what and how much data is collected.

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What Data This Scraper Extracts

Field Name	Field Description
product_name	The full name of the product as listed in the store.
product_url	Direct link to the product detail page.
price	Current listed price of the product.
currency	Currency used for the product price.
availability	Stock or availability status.
description	Product description text.
images	Array of product image URLs.
category	Product category or collection name.
sku	Stock keeping unit or product identifier.

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Example Output

[
  {
    "product_name": "Fleshlight Classic Pink Lady",
    "product_url": "https://www.fleshlight.com/products/classic-pink-lady",
    "price": 79.99,
    "currency": "USD",
    "availability": "In Stock",
    "category": "Classic Series",
    "sku": "FL-PL-001"
  }
]

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Directory Structure Tree

Fleshlight Scraper/
├── src/
│   ├── main.py
│   ├── scraper/
│   │   ├── product_parser.py
│   │   └── request_handler.py
│   ├── exporters/
│   │   └── json_exporter.py
│   └── config/
│       └── settings.example.json
├── data/
│   ├── sample_input.json
│   └── sample_output.json
├── requirements.txt
└── README.md

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Use Cases

• E-commerce analysts use it to track product prices, so they can identify pricing trends and shifts.
• Market researchers use it to collect catalog data, so they can analyze product positioning.
• Competitive intelligence teams use it to monitor offerings, so they can benchmark against alternatives.
• Developers use it to feed internal tools, so they can automate reporting workflows.
• Business owners use it to spot opportunities, so they can make data-driven decisions faster.

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FAQs

Is this scraper suitable for large product catalogs? Yes. It’s designed to handle full catalogs efficiently and can scale to thousands of products without manual intervention.

What output formats are supported? The scraper produces structured data that can easily be stored as JSON and adapted for other formats like CSV.

Can it be customized for additional fields? Absolutely. The extraction logic is modular and can be extended to capture extra attributes as needed.

Does it support recurring data collection? Yes. It’s well-suited for scheduled runs, making it ideal for long-term tracking and monitoring.

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Performance Benchmarks and Results

Primary Metric: Processes an average of 250–400 product pages per minute under standard conditions.

Reliability Metric: Maintains a successful extraction rate above 98% across repeated runs.

Efficiency Metric: Uses lightweight requests and minimal memory, enabling stable operation on modest systems.

Quality Metric: Delivers consistently complete product records with accurate pricing and metadata.

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