How to Scrape CSS Author: A Comprehensive Web Scraping Guide

Scrape CSS Author to extract design resources and AI tool reviews. Leverage the WordPress REST API for structured data on mockups and templates.

Coverage:Global
Available Data7 fields
TitleDescriptionImagesSeller InfoPosting DateCategoriesAttributes
All Extractable Fields
Post TitlePublication DatePost SlugResource CategoryAuthor NameFeatured Image URLFull Content TextDownload LinkAffiliate URLFile FormatSoftware CompatibilityLicense Type
Technical Requirements
Static HTML
No Login
Has Pagination
Official API Available
Anti-Bot Protection Detected
CloudflareRate LimitingWAF

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.
WAF

About CSS Author

Learn what CSS Author offers and what valuable data can be extracted from it.

Overview of CSS Author

CSS Author is a leading online platform and blog dedicated to providing high-quality resources for web designers and developers. Founded to curate and share the best tools, templates, and coding tutorials, the site serves as a comprehensive hub for creative professionals looking to stay ahead of industry trends.

Available Data and Resources

The website features a wide array of listings including AI coding agents, Webflow templates, sustainable design tools, and Figma plugins. Each post is detailed with expert reviews, making it a rich source of structured information for the tech community.

Value of Scraped Data

Scraping CSS Author is highly valuable for competitive intelligence, trend monitoring, and content aggregation. By extracting data from their curated lists and tool reviews, businesses and developers can gain a strategic overview of the evolving web design ecosystem.

About CSS Author

Why Scrape CSS Author?

Discover the business value and use cases for extracting data from CSS Author.

Market Research

Monitor the latest trends in web design and development tools.

Competitive Intelligence

Track reviews and ratings of AI coding agents and software.

Data Aggregation

Build a centralized repository of top-rated free design resources.

Lead Generation

Identify influential authors and developers in the design community.

Historical Analysis

Study the evolution of UI design patterns and tech stack popularity.

Scraping Challenges

Technical challenges you may encounter when scraping CSS Author.

Cloudflare Protection

Standard automated requests may be blocked by anti-bot challenges.

Infinite Scroll

Navigating 'Load More' buttons on listing pages requires browser automation.

Rate Limiting

Frequent API requests to the WordPress endpoint can trigger temporary IP bans.

Content Cleaning

Extracting specific tool attributes from unstructured blog content requires regex.

Scrape CSS Author 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 CSS Author. Just type it in plain language — no coding or selectors needed.

2

AI Extracts the Data

Our artificial intelligence navigates CSS Author, 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

Zero Coding: Scrape thousands of mockups without writing a single line of code.
Pagination Handling: Automatically clicks 'Load More' to capture every listing in a category.
Cloud Automation: Schedule daily runs to get the newest freebies as they are posted.
Cloudflare Bypass: Built-in features to navigate bot protection and fingerprints.
Integrated Export: Sync data directly to Google Sheets or your own database via Webhooks.
No credit card requiredFree tier availableNo setup needed

AI makes it easy to scrape CSS Author 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 CSS Author. Just type it in plain language — no coding or selectors needed.
  2. AI Extracts the Data: Our artificial intelligence navigates CSS Author, 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:
  • Zero Coding: Scrape thousands of mockups without writing a single line of code.
  • Pagination Handling: Automatically clicks 'Load More' to capture every listing in a category.
  • Cloud Automation: Schedule daily runs to get the newest freebies as they are posted.
  • Cloudflare Bypass: Built-in features to navigate bot protection and fingerprints.
  • Integrated Export: Sync data directly to Google Sheets or your own database via Webhooks.

No-Code Web Scrapers for CSS Author

Point-and-click alternatives to AI-powered scraping

Several no-code tools like Browse.ai, Octoparse, Axiom, and ParseHub can help you scrape CSS Author. 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 CSS Author

Several no-code tools like Browse.ai, Octoparse, Axiom, and ParseHub can help you scrape CSS Author. 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

# CSS Author uses WordPress, making the REST API the most efficient endpoint
api_url = 'https://cssauthor.com/wp-json/wp/v2/posts'

headers = {
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36'
}

def fetch_posts(page=1):
    try:
        response = requests.get(api_url, headers=headers, params={'page': page, 'per_page': 10})
        response.raise_for_status()
        posts = response.json()
        for post in posts:
            print(f"Title: {post['title']['rendered']}")
            print(f"Link: {post['link']}")
            print("---")
    except Exception as e:
        print(f"Error: {e}")

if __name__ == '__main__':
    fetch_posts(1)

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 CSS Author with Code

Python + Requests
import requests
from bs4 import BeautifulSoup

# CSS Author uses WordPress, making the REST API the most efficient endpoint
api_url = 'https://cssauthor.com/wp-json/wp/v2/posts'

headers = {
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36'
}

def fetch_posts(page=1):
    try:
        response = requests.get(api_url, headers=headers, params={'page': page, 'per_page': 10})
        response.raise_for_status()
        posts = response.json()
        for post in posts:
            print(f"Title: {post['title']['rendered']}")
            print(f"Link: {post['link']}")
            print("---")
    except Exception as e:
        print(f"Error: {e}")

if __name__ == '__main__':
    fetch_posts(1)
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://cssauthor.com/mockups/')

        # Wait for the post grid elements to load
        page.wait_for_selector('.brx-posts-grid')

        # Handle 'Load More' button if present
        if page.is_visible('button.brx-load-more-button'):
            page.click('button.brx-load-more-button')
            page.wait_for_timeout(2000)

        # Extracting titles from the rendered DOM
        titles = page.query_selector_all('.brx-post-title')
        for title in titles:
            print(title.inner_text())

        browser.close()

run()
Python + Scrapy
import scrapy
import json

class CssAuthorSpider(scrapy.Spider):
    name = 'css_author_spider'
    start_urls = ['https://cssauthor.com/wp-json/wp/v2/posts?per_page=20']

    def parse(self, response):
        posts = json.loads(response.text)
        for post in posts:
            yield {
                'id': post['id'],
                'title': post['title']['rendered'],
                'link': post['link'],
                'date': post['date']
            }
        
        # Logic for following next page in the REST API
        current_page = int(response.url.split('page=')[-1]) if 'page=' in response.url else 1
        next_page = f"https://cssauthor.com/wp-json/wp/v2/posts?per_page=20&page={current_page + 1}"
        yield scrapy.Request(next_page, callback=self.parse)
Node.js + Puppeteer
const puppeteer = require('puppeteer');

(async () => {
  const browser = await puppeteer.launch();
  const page = await browser.newPage();
  await page.goto('https://cssauthor.com/free-fonts/');

  // Extracting basic info from listing page
  const fonts = await page.evaluate(() => {
    const items = Array.from(document.querySelectorAll('.brx-post-title a'));
    return items.map(item => ({
      name: item.innerText,
      url: item.href
    }));
  });

  console.log(fonts);
  await browser.close();
})();

What You Can Do With CSS Author Data

Explore practical applications and insights from CSS Author data.

Design Tool Directory

Create a high-quality searchable portal for web design professionals to find the best tools.

How to implement:

  1. 1Scrape all 'Best of' articles and resource lists.
  2. 2Extract specific tool names, descriptions, and compatibility tags.
  3. 3Categorize tools based on the original site structure.
  4. 4Launch a front-end portal with search and filter capabilities.

Use Automatio to extract data from CSS Author and build these applications without writing code.

What You Can Do With CSS Author Data

  • Design Tool Directory

    Create a high-quality searchable portal for web design professionals to find the best tools.

    1. Scrape all 'Best of' articles and resource lists.
    2. Extract specific tool names, descriptions, and compatibility tags.
    3. Categorize tools based on the original site structure.
    4. Launch a front-end portal with search and filter capabilities.
  • Market Trend Monitoring

    Track the popularity and emergence of new web technologies like AI agents and no-code builders.

    1. Monitor the CSS Author API daily for new publication topics.
    2. Use keyword analysis to identify emerging software trends.
    3. Map the frequency of specific tool mentions over time.
    4. Generate trend reports for marketing teams.
  • SEO Competitor Research

    Identify high-ranking keywords and content strategies within the web development blog niche.

    1. Extract all post titles, meta tags, and excerpts from the blog.
    2. Cross-reference titles with search volume data.
    3. Identify topics with high engagement and low competition.
    4. Develop a content roadmap based on discovered gaps.
  • Affiliate Link Analysis

    Analyze the monetization strategy by tracking outbound links to software platforms.

    1. Scrape post content for external outbound URLs.
    2. Identify links containing affiliate tracking parameters.
    3. Categorize linked products by price point and category.
    4. Assess the most profitable niches in the design space.
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 CSS Author

Expert advice for successfully extracting data from CSS Author.

Access the JSON API directly at /wp-json/wp/v2/posts to avoid dealing with HTML parsing and complex CSS selectors.

Always set a realistic User-Agent and rotate IPs to avoid triggering Cloudflare automated defense systems.

Implement a delay of 1-3 seconds between requests to stay under the rate-limiting thresholds of the WordPress host.

Use the 'X-WP-TotalPages' response header from the API to correctly set up your pagination loops in code.

Filter by category ID in the API query string (e.g., ?categories=12) to reduce bandwidth and speed up scraping.

Check for 'Freebie' tags in post metadata to automatically identify resource licensing terms.

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 CSS Author

Find answers to common questions about CSS Author