How to Scrape Good On You: Ethical Brand Data Extraction Guide

Learn how to scrape ethical brand ratings and sustainability scores from Good On You. Extract valuable data for market research and conscious shopping apps.

Coverage:GlobalNorth AmericaEuropeAustralia
Available Data8 fields
TitlePriceLocationDescriptionImagesPosting DateCategoriesAttributes
All Extractable Fields
Brand NameOverall Rating ScoreEnvironmental ScoreLabor Rights ScoreAnimal Welfare ScorePrice Tier ($-$$$$)Brand Headquarters LocationEthical Summary TextCertification BadgesLast Updated DateMaterial Sustainability DetailsCarbon Emission Info
Technical Requirements
JavaScript Required
No Login
Has Pagination
Official API Available
Anti-Bot Protection Detected
CloudflareRate LimitingJavaScript ChallengesBrowser Fingerprinting

Anti-Bot Protection Detected

Cloudflare
Enterprise-grade WAF and bot management. Uses JavaScript challenges, CAPTCHAs, and behavioral analysis. Requires browser automation with stealth settings.
Rate Limiting
Limits requests per IP/session over time. Can be bypassed with rotating proxies, request delays, and distributed scraping.
JavaScript Challenge
Requires executing JavaScript to access content. Simple requests fail; need headless browser like Playwright or Puppeteer.
Browser Fingerprinting
Identifies bots through browser characteristics: canvas, WebGL, fonts, plugins. Requires spoofing or real browser profiles.

About Good On You

Learn what Good On You offers and what valuable data can be extracted from it.

Leading Sustainability Directory

Good On You is the world's most trusted source for ethical brand ratings in the fashion and beauty industries. It evaluates thousands of brands based on their impact on people, the planet, and animals, using a simple 5-point scale. The platform provides a critical service by aggregating data from brand disclosures, certifications like B-Corp, and NGO reports into accessible profiles.

High-Value ESG Data

For researchers and developers, Good On You offers structured insights into corporate sustainability. Scraped data can include everything from material usage and waste management policies to labor conditions and animal welfare standards. This information is essential for building conscious shopping tools, conducting ESG benchmarks, and tracking the industry's progress toward ethical production.

About Good On You

Why Scrape Good On You?

Discover the business value and use cases for extracting data from Good On You.

Conducting market research on ethical fashion trends

Building sustainability-focused browser extensions

Monitoring brand rating changes for ESG reporting

Aggregating ethical alternatives for retail platforms

Academic research on corporate transparency

Scraping Challenges

Technical challenges you may encounter when scraping Good On You.

Cloudflare protection on search result pages

Requirement for JavaScript rendering to load ratings

Dynamic CSS selectors in the brand detail sections

Rate limits on high-frequency brand lookups

Scrape Good On You with AI

No coding required. Extract data in minutes with AI-powered automation.

How It Works

1

Describe What You Need

Tell the AI what data you want to extract from Good On You. Just type it in plain language — no coding or selectors needed.

2

AI Extracts the Data

Our artificial intelligence navigates Good On You, handles dynamic content, and extracts exactly what you asked for.

3

Get Your Data

Receive clean, structured data ready to export as CSV, JSON, or send directly to your apps and workflows.

Why Use AI for Scraping

No-code extraction of complex rating grids
Automatic handling of JS-rendered brand profiles
Cloud scheduling for weekly rating updates
Seamless export to Google Sheets or JSON
No credit card requiredFree tier availableNo setup needed

AI makes it easy to scrape Good On You without writing any code. Our AI-powered platform uses artificial intelligence to understand what data you want — just describe it in plain language and the AI extracts it automatically.

How to scrape with AI:
  1. Describe What You Need: Tell the AI what data you want to extract from Good On You. Just type it in plain language — no coding or selectors needed.
  2. AI Extracts the Data: Our artificial intelligence navigates Good On You, handles dynamic content, and extracts exactly what you asked for.
  3. Get Your Data: Receive clean, structured data ready to export as CSV, JSON, or send directly to your apps and workflows.
Why use AI for scraping:
  • No-code extraction of complex rating grids
  • Automatic handling of JS-rendered brand profiles
  • Cloud scheduling for weekly rating updates
  • Seamless export to Google Sheets or JSON

No-Code Web Scrapers for Good On You

Point-and-click alternatives to AI-powered scraping

Several no-code tools like Browse.ai, Octoparse, Axiom, and ParseHub can help you scrape Good On You. These tools use visual interfaces to select elements, but they come with trade-offs compared to AI-powered solutions.

Typical Workflow with No-Code Tools

1
Install browser extension or sign up for the platform
2
Navigate to the target website and open the tool
3
Point-and-click to select data elements you want to extract
4
Configure CSS selectors for each data field
5
Set up pagination rules to scrape multiple pages
6
Handle CAPTCHAs (often requires manual solving)
7
Configure scheduling for automated runs
8
Export data to CSV, JSON, or connect via API

Common Challenges

Learning curve

Understanding selectors and extraction logic takes time

Selectors break

Website changes can break your entire workflow

Dynamic content issues

JavaScript-heavy sites often require complex workarounds

CAPTCHA limitations

Most tools require manual intervention for CAPTCHAs

IP blocking

Aggressive scraping can get your IP banned

No-Code Web Scrapers for Good On You

Several no-code tools like Browse.ai, Octoparse, Axiom, and ParseHub can help you scrape Good On You. These tools use visual interfaces to select elements, but they come with trade-offs compared to AI-powered solutions.

Typical Workflow with No-Code Tools
  1. Install browser extension or sign up for the platform
  2. Navigate to the target website and open the tool
  3. Point-and-click to select data elements you want to extract
  4. Configure CSS selectors for each data field
  5. Set up pagination rules to scrape multiple pages
  6. Handle CAPTCHAs (often requires manual solving)
  7. Configure scheduling for automated runs
  8. Export data to CSV, JSON, or connect via API
Common Challenges
  • Learning curve: Understanding selectors and extraction logic takes time
  • Selectors break: Website changes can break your entire workflow
  • Dynamic content issues: JavaScript-heavy sites often require complex workarounds
  • CAPTCHA limitations: Most tools require manual intervention for CAPTCHAs
  • IP blocking: Aggressive scraping can get your IP banned

Code Examples

import requests
from bs4 import BeautifulSoup

headers = {'User-Agent': 'Mozilla/5.0'}
url = 'https://directory.goodonyou.eco/brand/patagonia'

def scrape_brand():
    try:
        response = requests.get(url, headers=headers)
        if response.status_code == 200:
            soup = BeautifulSoup(response.text, 'html.parser')
            name = soup.find('h1').text.strip()
            rating = soup.find('h6', string=lambda x: 'rating' in x.lower()).text
            print(f'Brand: {name}, Rating: {rating}')
    except Exception as e:
        print(f'Error: {e}')

scrape_brand()

When to Use

Best for static HTML pages where content is loaded server-side. The fastest and simplest approach when JavaScript rendering isn't required.

Advantages

  • Fastest execution (no browser overhead)
  • Lowest resource consumption
  • Easy to parallelize with asyncio
  • Great for APIs and static pages

Limitations

  • Cannot execute JavaScript
  • Fails on SPAs and dynamic content
  • May struggle with complex anti-bot systems

How to Scrape Good On You with Code

Python + Requests
import requests
from bs4 import BeautifulSoup

headers = {'User-Agent': 'Mozilla/5.0'}
url = 'https://directory.goodonyou.eco/brand/patagonia'

def scrape_brand():
    try:
        response = requests.get(url, headers=headers)
        if response.status_code == 200:
            soup = BeautifulSoup(response.text, 'html.parser')
            name = soup.find('h1').text.strip()
            rating = soup.find('h6', string=lambda x: 'rating' in x.lower()).text
            print(f'Brand: {name}, Rating: {rating}')
    except Exception as e:
        print(f'Error: {e}')

scrape_brand()
Python + Playwright
from playwright.sync_api import sync_playwright

def run():
    with sync_playwright() as p:
        browser = p.chromium.launch(headless=True)
        page = browser.new_page()
        page.goto('https://directory.goodonyou.eco/brand/nike')
        page.wait_for_selector('h1')
        data = {
            'name': page.locator('h1').inner_text(),
            'score': page.locator('div[class*="RatingText"]').first.inner_text()
        }
        print(data)
        browser.close()
run()
Python + Scrapy
import scrapy

class GoodOnYouSpider(scrapy.Spider):
    name = 'goy'
    start_urls = ['https://directory.goodonyou.eco/categories/fashion']

    def parse(self, response):
        for brand in response.css('a[class*="BrandCard"]'):
            yield {
                'name': brand.css('h5::text').get(),
                'url': response.urljoin(brand.attrib['href'])
            }
        next_pg = response.css('a[aria-label="Next page"]::attr(href)').get()
        if next_pg:
            yield response.follow(next_pg, self.parse)
Node.js + Puppeteer
const puppeteer = require('puppeteer');

(async () => {
  const browser = await puppeteer.launch();
  const page = await browser.newPage();
  await page.goto('https://directory.goodonyou.eco/brand/adidas');
  const data = await page.evaluate(() => ({
    name: document.querySelector('h1').innerText,
    rating: document.querySelector('h6').innerText
  }));
  console.log(data);
  await browser.close();
})();

What You Can Do With Good On You Data

Explore practical applications and insights from Good On You data.

Conscious Shopping Extension

A browser plugin that alerts users when they shop on low-rated brands and suggests ethical alternatives.

How to implement:

  1. 1Scrape the brand database and overall scores.
  2. 2Index names for fast lookup in a Chrome extension.
  3. 3Cross-reference the active URL with the brand index.
  4. 4Display a popup with the rating and 3 higher-rated competitors.

Use Automatio to extract data from Good On You and build these applications without writing code.

What You Can Do With Good On You Data

  • Conscious Shopping Extension

    A browser plugin that alerts users when they shop on low-rated brands and suggests ethical alternatives.

    1. Scrape the brand database and overall scores.
    2. Index names for fast lookup in a Chrome extension.
    3. Cross-reference the active URL with the brand index.
    4. Display a popup with the rating and 3 higher-rated competitors.
  • ESG Investment Benchmarking

    Sustainability analysts use the data to compare corporate disclosures against actual ethical performance ratings.

    1. Extract the Planet, People, and Animal scores for large cap brands.
    2. Merge this data with financial ESG reports.
    3. Calculate correlation scores between ratings and stock performance.
    4. Generate monthly industry leadership reports.
  • Sustainable Fashion Marketplace

    E-commerce platforms can use the ratings to curate a 'Good' or 'Great' collection automatically.

    1. Target brands with a rating of 4 or 5 stars.
    2. Extract their product range and brand location data.
    3. Use the scraped data to populate a dedicated 'Ethical Brands' filter.
    4. Update the filters automatically using a weekly scraper run.
  • Brand Reputation Monitor

    Public relations firms track rating changes to manage brand image and identify sustainability gaps.

    1. Schedule a daily check on specific client and competitor brands.
    2. Detect changes in the ethical summary text or overall rating.
    3. Alert stakeholders when a rating improvement or downgrade occurs.
    4. Analyze qualitative text for specific labor or environmental complaints.
  • Academic Sustainability Research

    Researchers can analyze trends in fashion ethics by processing the aggregate data of thousands of brands.

    1. Scrape the entire directory across all fashion categories.
    2. Perform sentiment analysis on the ethical summaries.
    3. Map ratings against geographical locations to find regional trends.
    4. Publish findings on the state of global fashion transparency.
More than just prompts

Supercharge your workflow with AI Automation

Automatio combines the power of AI agents, web automation, and smart integrations to help you accomplish more in less time.

AI Agents
Web Automation
Smart Workflows

Pro Tips for Scraping Good On You

Expert advice for successfully extracting data from Good On You.

Use a headless browser like Playwright to handle React hydration correctly.

Rotate residential proxies to avoid triggering Cloudflare's bot detection.

Set a random sleep interval between 3-7 seconds to mimic human browsing behavior.

Scrape the 'Last Updated' field to optimize your refresh cycle and save resources.

Focus on specific category pages to simplify pagination handling.

Testimonials

What Our Users Say

Join thousands of satisfied users who have transformed their workflow

Jonathan Kogan

Jonathan Kogan

Co-Founder/CEO, rpatools.io

Automatio is one of the most used for RPA Tools both internally and externally. It saves us countless hours of work and we realized this could do the same for other startups and so we choose Automatio for most of our automation needs.

Mohammed Ibrahim

Mohammed Ibrahim

CEO, qannas.pro

I have used many tools over the past 5 years, Automatio is the Jack of All trades.. !! it could be your scraping bot in the morning and then it becomes your VA by the noon and in the evening it does your automations.. its amazing!

Ben Bressington

Ben Bressington

CTO, AiChatSolutions

Automatio is fantastic and simple to use to extract data from any website. This allowed me to replace a developer and do tasks myself as they only take a few minutes to setup and forget about it. Automatio is a game changer!

Sarah Chen

Sarah Chen

Head of Growth, ScaleUp Labs

We've tried dozens of automation tools, but Automatio stands out for its flexibility and ease of use. Our team productivity increased by 40% within the first month of adoption.

David Park

David Park

Founder, DataDriven.io

The AI-powered features in Automatio are incredible. It understands context and adapts to changes in websites automatically. No more broken scrapers!

Emily Rodriguez

Emily Rodriguez

Marketing Director, GrowthMetrics

Automatio transformed our lead generation process. What used to take our team days now happens automatically in minutes. The ROI is incredible.

Jonathan Kogan

Jonathan Kogan

Co-Founder/CEO, rpatools.io

Automatio is one of the most used for RPA Tools both internally and externally. It saves us countless hours of work and we realized this could do the same for other startups and so we choose Automatio for most of our automation needs.

Mohammed Ibrahim

Mohammed Ibrahim

CEO, qannas.pro

I have used many tools over the past 5 years, Automatio is the Jack of All trades.. !! it could be your scraping bot in the morning and then it becomes your VA by the noon and in the evening it does your automations.. its amazing!

Ben Bressington

Ben Bressington

CTO, AiChatSolutions

Automatio is fantastic and simple to use to extract data from any website. This allowed me to replace a developer and do tasks myself as they only take a few minutes to setup and forget about it. Automatio is a game changer!

Sarah Chen

Sarah Chen

Head of Growth, ScaleUp Labs

We've tried dozens of automation tools, but Automatio stands out for its flexibility and ease of use. Our team productivity increased by 40% within the first month of adoption.

David Park

David Park

Founder, DataDriven.io

The AI-powered features in Automatio are incredible. It understands context and adapts to changes in websites automatically. No more broken scrapers!

Emily Rodriguez

Emily Rodriguez

Marketing Director, GrowthMetrics

Automatio transformed our lead generation process. What used to take our team days now happens automatically in minutes. The ROI is incredible.

Related Web Scraping

Frequently Asked Questions About Good On You

Find answers to common questions about Good On You