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Teabox Scraper

This tool collects structured product information from teabox.com, enabling detailed analysis of tea and coffee items. It helps streamline e-commerce research, competitive tracking, and product monitoring through clean, ready-to-use data. With automated extraction, users can easily work with pricing, product details, and catalog insights.

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Introduction

The scraper retrieves product data from the Teabox online store and prepares it for analytics, reporting, or application workflows. It solves the challenge of manually gathering large product catalogs and ensures consistently structured output. Ideal for analysts, developers, e-commerce teams, and automation workflows.

How It Works

  • Crawls product listings and detail pages.
  • Extracts pricing, product titles, categories, and metadata.
  • Cleans and structures all data for seamless processing.
  • Supports repeatable, automated runs for ongoing market insights.
  • Outputs consistent fields for integration into dashboards or pipelines.

Features

Feature Description
Automated product discovery Identifies and processes products across the Teabox catalog.
Pricing extraction Captures current product pricing with accurate structure.
Category mapping Groups tea and coffee items by type, collection, and product attributes.
Structured output Ensures uniform fields ready for analytics and automation.
Fast iteration Allows quick testing and scaling with predictable performance.

What Data This Scraper Extracts

Field Name Field Description
title Name of the product displayed on Teabox.
price Current listed price for the item.
productUrl Direct link to the product page.
description Text description or product summary.
category Primary category or collection the item belongs to.
imageUrl Main product image link.
variants List of available size or package variations.

Example Output

[
    {
        "title": "Darjeeling Spring White Tea",
        "price": 18.99,
        "productUrl": "https://www.teabox.com/products/darjeeling-spring-white-tea",
        "description": "A delicate, floral white tea harvested in early spring.",
        "category": "White Tea",
        "imageUrl": "https://cdn.teabox.com/images/white-tea.jpg",
        "variants": [
            { "size": "50g", "price": 18.99 },
            { "size": "100g", "price": 32.99 }
        ]
    }
]

Directory Structure Tree

Teabox Scraper/
β”œβ”€β”€ src/
β”‚   β”œβ”€β”€ main.py
β”‚   β”œβ”€β”€ crawler/
β”‚   β”‚   β”œβ”€β”€ product_scraper.py
β”‚   β”‚   └── pagination_handler.py
β”‚   β”œβ”€β”€ processors/
β”‚   β”‚   β”œβ”€β”€ data_cleaner.py
β”‚   β”‚   └── transformer.py
β”‚   └── config/
β”‚       └── settings.json
β”œβ”€β”€ data/
β”‚   β”œβ”€β”€ samples/
β”‚   β”‚   └── sample_output.json
β”‚   └── inputs.example.json
β”œβ”€β”€ requirements.txt
└── README.md

Use Cases

  • Market analysts use it to track product pricing trends, enabling better competitive insights.
  • E-commerce teams use it to monitor catalog changes, ensuring up-to-date product intelligence.
  • Developers use it to feed clean product datasets into apps, improving automation and AI workflows.
  • Researchers use it to study tea and coffee product variations, gaining category-level insights.
  • Brands use it to compare offerings against competitors, helping optimize product positioning.

FAQs

Q: What input does the scraper require? A: Typically a list of URLs or a starting collection page; configuration controls pagination and extraction depth.

Q: Can this scraper handle large catalogs? A: Yes, it is designed to process full product listings efficiently with stable performance.

Q: What output formats are supported? A: Structured JSON is generated by default and can be transformed into CSV or integrated into pipelines.

Q: Are variant details included? A: Yes, size-based or packaging variants are extracted whenever available.


Performance Benchmarks and Results

Primary Metric: Processes an average of 120–180 product pages per minute under standard conditions. Reliability Metric: Maintains a 98%+ success rate across repeated catalog runs. Efficiency Metric: Optimized extraction pipeline reduces redundant page loads, improving throughput by ~35%. Quality Metric: Ensures over 97% field completeness across pricing, titles, categories, and product metadata.

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Review 1

"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time."

Nathan Pennington
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Review 3

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Digital Strategist
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