Electro Threads Scraper

Electro Threads Scraper is a robust data extraction tool that collects apparel product information and pricing from the Electro Threads online store. It helps businesses and analysts turn raw product listings into structured data for smarter decisions, market visibility, and competitive insight.

     

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

This project extracts structured product and pricing data from Electro Threads, making it easier to analyze apparel listings at scale. It solves the challenge of manually tracking product changes by automating data collection into clean, reusable formats. The scraper is ideal for e-commerce teams, analysts, and developers who need reliable apparel data.

Apparel Product Intelligence

• Collects up-to-date product details from an apparel-focused storefront
• Normalizes pricing and product attributes into structured datasets
• Supports repeat runs for tracking changes over time
• Designed for integration with analytics and reporting workflows

Features

Feature	Description
Product Data Extraction	Collects titles, descriptions, variants, and images for each product.
Price Monitoring	Captures current prices to support trend and change analysis.
Structured Output	Delivers clean, structured data ready for analysis or storage.
Scalable Crawling	Handles large product catalogs efficiently and reliably.

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What Data This Scraper Extracts

Field Name	Field Description
product_id	Unique identifier for the product listing.
product_name	Name or title of the apparel item.
description	Textual description of the product.
price	Current listed price of the product.
currency	Currency associated with the price.
variants	Available sizes, colors, or styles.
images	Image URLs associated with the product.
product_url	Direct link to the product page.

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Example Output

[
      {
        "product_id": "ET-98231",
        "product_name": "Cyberpunk Hoodie",
        "description": "Futuristic hoodie with neon cyberpunk design.",
        "price": 74.99,
        "currency": "USD",
        "variants": ["S", "M", "L", "XL"],
        "images": [
          "https://example.com/images/cyberpunk-hoodie-1.jpg",
          "https://example.com/images/cyberpunk-hoodie-2.jpg"
        ],
        "product_url": "https://electrothreads.com/products/cyberpunk-hoodie"
      }
    ]

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Directory Structure Tree

Electro Threads Scraper/
├── src/
│   ├── main.py
│   ├── crawler/
│   │   ├── product_crawler.py
│   │   └── pagination.py
│   ├── parsers/
│   │   └── product_parser.py
│   ├── utils/
│   │   └── helpers.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 apparel prices, so they can identify trends and adjust pricing strategies.
• Retail researchers use it to gather product attributes, so they can compare competitors efficiently.
• Developers use it to feed structured apparel data into dashboards, enabling faster insights.
• Market intelligence teams use it to monitor catalog changes, helping them stay ahead of competitors.

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FAQs

Does this scraper support multiple product variants? Yes, it captures available variants such as size or color, allowing detailed product-level analysis.

Can the output be used in spreadsheets or databases? The structured output is designed to integrate easily with spreadsheets, databases, or analytics tools.

Is this suitable for repeated monitoring? Yes, it can be run repeatedly to observe pricing or catalog changes over time.

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Performance Benchmarks and Results

Primary Metric: Processes several hundred product pages per hour under standard configurations.

Reliability Metric: Maintains a high success rate with stable extraction across large catalogs.

Efficiency Metric: Optimized crawling minimizes redundant requests and resource usage.

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

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