Is it legal to scrape NoCodeList?

Scraping NoCodeList for public data is generally permissible for personal or research use, provided you comply with their robots.txt and do not overwhelm their servers. Always ensure your use case does not violate copyright by republishing their unique 'Staff Verdict' or proprietary reviews without permission.

Does NoCodeList have an official API?

No, NoCodeList does not currently provide a public official API for developers to access their directory data. Users must rely on web scraping tools or browser automation to gather structured data from the site.

How do I avoid getting blocked by NoCodeList?

To avoid being blocked, implement moderate rate limiting in your scraping scripts and use residential proxies if performing high-volume crawls. Since the site uses Cloudflare, using a browser-based scraper that can solve JS challenges is highly recommended.

How often should I scrape the directory for updates?

The directory is updated periodically by the staff. A weekly scrape of the 'Recently Added' section is usually sufficient to stay current with the latest no-code tools and resources without causing unnecessary server load.

Can I scrape the pricing data specifically?

Yes, NoCodeList lists both monthly and annual pricing for most tools. You can target the specific text blocks containing pricing information using CSS selectors or text-matching logic in your scraper.

What format can I export the data into?

Using tools like Automatio, you can export NoCodeList data into CSV, JSON, or Google Sheets. If you are coding a custom scraper, JSON is the most common format for storing these nested tool attributes.

Does NoCodeList require a login to see data?

No, the entire directory and the individual tool pages are publicly accessible without an account. You can scrape all listed information without needing to handle authentication logic.

How to Scrape NoCodeList: The Complete Web Scraping Guide

Scrape NoCodeList to extract data on 350+ no-code tools, pricing, and features. Perfect for competitive analysis and tech market research in the SaaS space.

Start Scraping Free

nocodelist.coMedium

Coverage:Global

Available Data7 fields

TitlePriceDescriptionImagesSeller InfoCategoriesAttributes

All Extractable Fields

Software NameOfficial Website URLMonthly PricingYearly PricingFree Trial AvailabilityDetailed DescriptionTypical Customer ProfilesSupported PlatformsSupport OptionsTraining OptionsStaff VerdictUser Feature RatingsRelated Software AlternativesAgency SpecializationsCategory Tags

Technical Requirements

JavaScript Required

No Login

Has Pagination

No Official API

Anti-Bot Protection Detected

CloudflareRate LimitingBrowser Fingerprinting

About NoCodeList

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

The Premier No-Code Resource Hub

NoCodeList is a premier directory and resource hub for the no-code and low-code industry, curated by Drew Thomas. It serves as a comprehensive database featuring over 350 software tools, 130 agencies, and numerous resources designed to help entrepreneurs, developers, and businesses build digital products without writing traditional code. The platform organizes tools into specific categories like Web Apps, APIs, and Databases, providing detailed insights into each tool's utility and target audience.

Structured Data for Tech Analysis

The website provides highly structured data for each listing, including pricing tiers, supported platforms, typical customer profiles, and staff reviews. This level of detail makes it an essential site for anyone looking to understand the current landscape of the no-code ecosystem. The site is built using no-code technology itself, specifically Bildr, which makes it a Single Page Application (SPA) where content is loaded dynamically via JavaScript.

Why Scraping This Data Matters

Scraping NoCodeList is valuable for market researchers identifying emerging tech trends, SaaS founders performing competitive analysis, and lead generators looking for software companies or agencies. By aggregating this data, users can build comparison engines, track pricing changes over time, or identify gaps in the market where new tools or services could be introduced.

Why Scrape NoCodeList?

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

Conduct comprehensive market research on the trending categories in the no-code software space.

Monitor competitor pricing structures and annual discount strategies across 350+ tools.

Generate leads for specialized agencies by identifying software with few listed implementation partners.

Aggregate tool features and feature ratings to build a specialized comparison platform.

Track the evolution of the citizen developer movement by monitoring new tool additions.

Perform historical pricing analysis to see how SaaS costs fluctuate over time.

Scraping Challenges

Technical challenges you may encounter when scraping NoCodeList.

JavaScript Rendering

As a Bildr-built SPA, content is not present in the initial static HTML source.

Dynamic Selectors

UI elements often use auto-generated or non-semantic CSS classes that can change.

Lazy Loading

The directory requires scrolling or 'Load More' clicks to populate the DOM with all listings.

Anti-Bot Challenges

Cloudflare protection can block standard automated requests without proper headers.

Scrape NoCodeList with AI

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

How It Works

Describe What You Need

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

AI Extracts the Data

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

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

Native JS Rendering: Effortlessly handles the dynamic Bildr environment without extra configuration.

Visual Interaction: Easily set up clicks for 'Load More' buttons or category filters without code.

Automatic Data Structuring: Maps complex dynamic elements directly into clean CSV or JSON formats.

Anti-Bot Handling: Automatically manages standard Cloudflare challenges and browser headers.

Start Scraping Free

No credit card requiredFree tier availableNo setup needed

No-Code Web Scrapers for NoCodeList

Point-and-click alternatives to AI-powered scraping

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

Install browser extension or sign up for the platform

Navigate to the target website and open the tool

Point-and-click to select data elements you want to extract

Configure CSS selectors for each data field

Set up pagination rules to scrape multiple pages

Handle CAPTCHAs (often requires manual solving)

Configure scheduling for automated runs

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

# Note: NoCodeList is a JS-heavy SPA; requests will only get the shell.
url = "https://nocodelist.co/software/nocode-api"
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"
}

try:
    response = requests.get(url, headers=headers)
    response.raise_for_status()
    soup = BeautifulSoup(response.text, 'html.parser')
    
    # Extracting SEO meta tags which usually contain the name and description even in SPAs
    title = soup.find('meta', property='og:title')
    desc = soup.find('meta', property='og:description')
    
    print(f"Tool: {title['content'] if title else 'N/A'}")
    print(f"Description: {desc['content'] if desc else 'N/A'}")
except Exception as e:
    print(f"Scraping failed: {e}")

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

from playwright.sync_api import sync_playwright

def run():
    with sync_playwright() as p:
        # Launching browser to handle JavaScript
        browser = p.chromium.launch(headless=True)
        page = browser.new_page()
        page.goto("https://nocodelist.co/software/nocode-api")
        
        # Wait for the dynamic content to render completely
        page.wait_for_selector("h1")
        
        # Extracting rendered data from the DOM
        data = {
            "name": page.inner_text("h1"),
            "pricing": page.inner_text("div:has-text('Pricing:')"),
            "description": page.inner_text("div.blog")
        }
        
        print(data)
        browser.close()

run()

When to Use

Use when content loads dynamically via JavaScript, or when you need to interact with the page (clicks, scrolls, form fills). Handles modern anti-bot detection better.

Advantages

●Executes JavaScript like a real browser
●Handles SPAs and dynamic content
●Better anti-bot evasion with stealth plugins
●Can take screenshots and PDFs

Limitations

●Slower than HTTP requests
●Higher memory/CPU usage
●More complex to set up

import scrapy
from scrapy_playwright.page import PageMethod

class NoCodeSpider(scrapy.Spider):
    name = 'nocodelist'
    
    def start_requests(self):
        yield scrapy.Request(
            "https://nocodelist.co/",
            meta={
                "playwright": True,
                "playwright_page_methods": [
                    # Waiting for the clickable cards to appear in the SPA
                    PageMethod("wait_for_selector", ".clickable-element")
                ]
            }
        )

    def parse(self, response):
        # Scrapy-Playwright returns the fully rendered HTML
        for item in response.css('.clickable-element'):
            yield {
                'tool_name': item.css('div::text').get(),
                'link': item.attrib.get('href')
            }

When to Use

Ideal for large-scale crawling projects that need to scrape thousands of pages. Built-in support for rate limiting, retries, and data pipelines.

Advantages

●Built for scale (millions of pages)
●Automatic request throttling
●Built-in data export pipelines
●Middleware system for proxies/headers

Limitations

●Steeper learning curve
●Overkill for small projects
●No native JavaScript rendering

const puppeteer = require('puppeteer');

(async () => {
  const browser = await puppeteer.launch();
  const page = await browser.newPage();
  // Using networkidle2 to ensure all dynamic components are loaded
  await page.goto('https://nocodelist.co/software/nocode-api', { waitUntil: 'networkidle2' });

  const results = await page.evaluate(() => {
    return {
      title: document.querySelector('h1')?.innerText,
      pricing: document.body.innerText.match(/Pricing: .+/)?.[0],
      customer_types: Array.from(document.querySelectorAll('h3')).find(el => el.innerText.includes('Typical Customers'))?.nextElementSibling?.innerText
    };
  });

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

When to Use

Choose this if you're in a Node.js/JavaScript ecosystem or need tight integration with frontend tools. Similar capabilities to Playwright.

Advantages

●Native JavaScript/TypeScript support
●Chrome DevTools Protocol access
●Large ecosystem and community
●Good for JS-heavy projects

Limitations

●Chrome-only (vs Playwright's multi-browser)
●Similar overhead to Playwright
●Less mature stealth options

How to Scrape NoCodeList with Code

Python + Requests

import requests
from bs4 import BeautifulSoup

# Note: NoCodeList is a JS-heavy SPA; requests will only get the shell.
url = "https://nocodelist.co/software/nocode-api"
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"
}

try:
    response = requests.get(url, headers=headers)
    response.raise_for_status()
    soup = BeautifulSoup(response.text, 'html.parser')
    
    # Extracting SEO meta tags which usually contain the name and description even in SPAs
    title = soup.find('meta', property='og:title')
    desc = soup.find('meta', property='og:description')
    
    print(f"Tool: {title['content'] if title else 'N/A'}")
    print(f"Description: {desc['content'] if desc else 'N/A'}")
except Exception as e:
    print(f"Scraping failed: {e}")

Python + Playwright

from playwright.sync_api import sync_playwright

def run():
    with sync_playwright() as p:
        # Launching browser to handle JavaScript
        browser = p.chromium.launch(headless=True)
        page = browser.new_page()
        page.goto("https://nocodelist.co/software/nocode-api")
        
        # Wait for the dynamic content to render completely
        page.wait_for_selector("h1")
        
        # Extracting rendered data from the DOM
        data = {
            "name": page.inner_text("h1"),
            "pricing": page.inner_text("div:has-text('Pricing:')"),
            "description": page.inner_text("div.blog")
        }
        
        print(data)
        browser.close()

run()

Python + Scrapy

import scrapy
from scrapy_playwright.page import PageMethod

class NoCodeSpider(scrapy.Spider):
    name = 'nocodelist'
    
    def start_requests(self):
        yield scrapy.Request(
            "https://nocodelist.co/",
            meta={
                "playwright": True,
                "playwright_page_methods": [
                    # Waiting for the clickable cards to appear in the SPA
                    PageMethod("wait_for_selector", ".clickable-element")
                ]
            }
        )

    def parse(self, response):
        # Scrapy-Playwright returns the fully rendered HTML
        for item in response.css('.clickable-element'):
            yield {
                'tool_name': item.css('div::text').get(),
                'link': item.attrib.get('href')
            }

Node.js + Puppeteer

const puppeteer = require('puppeteer');

(async () => {
  const browser = await puppeteer.launch();
  const page = await browser.newPage();
  // Using networkidle2 to ensure all dynamic components are loaded
  await page.goto('https://nocodelist.co/software/nocode-api', { waitUntil: 'networkidle2' });

  const results = await page.evaluate(() => {
    return {
      title: document.querySelector('h1')?.innerText,
      pricing: document.body.innerText.match(/Pricing: .+/)?.[0],
      customer_types: Array.from(document.querySelectorAll('h3')).find(el => el.innerText.includes('Typical Customers'))?.nextElementSibling?.innerText
    };
  });

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

What You Can Do With NoCodeList Data

Explore practical applications and insights from NoCodeList data.

SaaS Competitor Intelligence Hub

Software founders can use the data to monitor pricing and feature sets of rival no-code tools.

How to implement:

1Scrape NoCodeList categories relevant to your specific niche.
2Extract monthly and yearly pricing data for all identified competitors.
3Categorize 'Most Valued Features' into a detailed comparison matrix.
4Set up a weekly delta-check to identify when competitors update their pricing tiers.

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

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

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Pro Tips for Scraping NoCodeList

Expert advice for successfully extracting data from NoCodeList.

Use browser-based tools like Playwright or Automatio to ensure the JavaScript-heavy content renders completely.

Monitor the Network tab in your browser's DevTools to see if you can intercept JSON data directly from their backend API calls.

If scraping the main directory, implement a scroll-to-bottom or 'click load more' loop to capture all tools.

Focus on extracting data from the 'meta' tags if you only need basic tool titles and descriptions in the initial load.

Rotate user agents and use residential proxies to avoid rate limiting when crawling the entire directory in one session.

Look for the 'Recently Added' section to perform incremental scrapes instead of full database re-crawls.

Testimonials

What Our Users Say

Join thousands of satisfied users who have transformed their workflow

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

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

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

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

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

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

Co-Founder/CEO, rpatools.io

Mohammed Ibrahim

CEO, qannas.pro

Ben Bressington

CTO, AiChatSolutions

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

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

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 NoCodeList

Find answers to common questions about NoCodeList

How to Scrape NoCodeList: The Complete Web Scraping Guide

About NoCodeList

The Premier No-Code Resource Hub

Structured Data for Tech Analysis

Why Scraping This Data Matters

Why Scrape NoCodeList?

Scraping Challenges

JavaScript Rendering

Dynamic Selectors

Lazy Loading

Anti-Bot Challenges

Scrape NoCodeList with AI

How It Works

Why Use AI for Scraping

How to scrape with AI:

Why use AI for scraping:

No-Code Web Scrapers for NoCodeList

Typical Workflow with No-Code Tools

Common Challenges

No-Code Web Scrapers for NoCodeList

Typical Workflow with No-Code Tools

Common Challenges

Code Examples

How to Scrape NoCodeList with Code

Python + Requests

Python + Playwright

Python + Scrapy

Node.js + Puppeteer

What You Can Do With NoCodeList Data

SaaS Competitor Intelligence Hub

No-Code Agency Lead Gen

Niche Tech Directory Creation

Historical SaaS Pricing Analysis

What You Can Do With NoCodeList Data

Supercharge your workflow with AI Automation

Pro Tips for Scraping NoCodeList

What Our Users Say

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Frequently Asked Questions About NoCodeList

Is it legal to scrape NoCodeList?

Does NoCodeList have an official API?

How do I avoid getting blocked by NoCodeList?

How often should I scrape the directory for updates?

Can I scrape the pricing data specifically?

What format can I export the data into?

Does NoCodeList require a login to see data?