G10 Parser Spider Scraper

A focused data extraction tool that collects customer and brand information from Go10.co.uk into clean, structured datasets. It helps teams centralize partner details, visual assets, and metadata for research, monitoring, and catalog building.

     

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

This project extracts structured customer and brand data from Go10.co.uk pages, turning unstructured listings into usable datasets. It solves the problem of manually collecting partner and brand information spread across pages and formats. It’s built for analysts, marketers, and product teams who need reliable partner data at scale.

Partner & Brand Intelligence Collection

• Parses customer and brand entities from Go10 pages
• Normalizes names, images, descriptions, and links
• Preserves contextual metadata like dates and identifiers
• Produces consistent JSON outputs ready for integration

Features

Feature	Description
Entity detection	Identifies whether a record represents a customer or a brand.
Rich metadata capture	Extracts names, images, descriptions, dates, and links.
Structured output	Delivers clean JSON arrays for easy parsing and storage.
Scalable crawling	Handles multiple URLs in a single run efficiently.
Stable access	Supports proxy configuration for reliable data retrieval.

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What Data This Scraper Extracts

Field Name	Field Description
type	Entity type such as customer or brand.
name	Display name of the customer or brand.
post_id	Internal identifier associated with the listing.
date	Publication or listing date when available.
image_url	URL of the associated image or logo.
description	Textual description of the entity.
search_query	Query term used to locate the entity.
first_link	Primary external link related to the entity.

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Example Output

[
      {
        "type": "customer",
        "name": "firstclass",
        "post_id": "15527",
        "date": "2021-02-18T10:18:49+00:00",
        "image_url": "https://www.go10.co.uk/wp-content/uploads/2019/04/firstclass.jpg",
        "description": null,
        "search_query": "firstclass",
        "first_link": "https://firstclass.com"
      },
      {
        "type": "brand",
        "name": "Hover-1",
        "post_id": null,
        "date": null,
        "image_url": "https://www.go10.co.uk/wp-content/uploads/2024/08/hover-1-square.png",
        "description": "Number 1 brand of hoverboards and e-scooters.",
        "search_query": "Hover-1",
        "first_link": "https://hover-1.com"
      }
    ]

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Directory Structure Tree

g10 parser spider/
├── src/
│   ├── runner.py
│   ├── extractors/
│   │   ├── go10_entity_parser.py
│   │   └── html_utils.py
│   ├── outputs/
│   │   └── json_exporter.py
│   └── config/
│       └── settings.example.json
├── data/
│   ├── inputs.sample.txt
│   └── sample_output.json
├── requirements.txt
└── README.md

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Use Cases

• Business development teams use it to track Go10 partners so they can identify outreach opportunities faster.
• Market researchers use it to analyze e-mobility brands so they can map competitors and positioning.
• Content teams use it to build brand directories so they can enrich websites with accurate assets.
• E-commerce analysts use it to monitor partner listings so they can spot updates and changes early.

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FAQs

Does it support multiple Go10 URLs in one run? Yes, you can provide an array of URLs, and the scraper will process each sequentially into a single dataset.

What happens if some fields are missing on a page? Missing values are returned as null, keeping the output schema consistent and predictable.

Can the output be integrated into databases or pipelines? Yes, the structured JSON format is suitable for direct ingestion into databases, dashboards, or ETL workflows.

Is proxy usage required? Proxy configuration is optional but recommended for stable access when running at scale.

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Performance Benchmarks and Results

Primary Metric: Processes an average Go10 page in under 2 seconds with full entity extraction.

Reliability Metric: Maintains a successful extraction rate above 98% across mixed customer and brand pages.

Efficiency Metric: Handles dozens of URLs per run with minimal memory overhead.

Quality Metric: Delivers consistently structured records with high field completeness for downstream use.

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

"Bitbash delivers outstanding quality, speed, and professionalism, truly a team you can rely on." Eliza SEO Affiliate Expert ★★★★★

"Exceptional results, clear communication, and flawless delivery. Bitbash nailed it." Syed Digital Strategist ★★★★★