How to Scrape xkcd Comics: API and Web Scraping Guide

Learn how to scrape xkcd comic metadata, transcripts, and image URLs. Use the official JSON API or Python for NLP research and offline archiving.

Coverage:Global
Available Data6 fields
TitleDescriptionImagesSeller InfoPosting DateAttributes
All Extractable Fields
Comic NumberComic TitleImage URLAlt Text (Punchline)Text TranscriptPublication YearPublication MonthPublication DayPermanent LinkNews/Metadata Field
Technical Requirements
Static HTML
No Login
Has Pagination
Official API Available

About xkcd

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

The World of xkcd

xkcd, created by Randall Munroe, is a legendary webcomic focused on romance, sarcasm, math, and language. Since its launch in 2005, it has become a cornerstone of internet culture, known for its stick-figure drawings and deeply intellectual humor regarding science and technology.

Data Available for Extraction

The website provides access to over 2,800 comics. Each entry contains a unique comic number, a title, a protocol-relative image URL, and the famous 'alt-text' (found in the image title attribute) which often contains the final punchline. Most comics also include a detailed text transcript.

Why Researchers Scrape xkcd

Scraping this data is highly valuable for Natural Language Processing (NLP) and sentiment analysis of technical humor. The transcripts provide a clean dataset of human-generated descriptions, while the sequential numbering makes it an ideal target for practicing web crawling and archival automation.

About xkcd

Why Scrape xkcd?

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

Create a comprehensive offline archive of all scientific webcomics.

Perform sentiment analysis on two decades of internet culture.

Train machine learning models on image-to-text descriptions.

Build a custom, searchable index of comic transcripts for academic reference.

Analyze historical trends in technology and programming through humor.

Develop a personalized 'Relevant xkcd' recommendation engine.

Scraping Challenges

Technical challenges you may encounter when scraping xkcd.

Handling protocol-relative URLs (e.g., //imgs.xkcd.com/) in older entries.

Parsing inconsistent formatting in transcripts for comics released before 2010.

Managing the total storage volume when downloading high-resolution image assets.

Gracefully handling 'Large' comics like 1110 (Click and Drag) which use tiled images.

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

2

AI Extracts the Data

Our artificial intelligence navigates xkcd, 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 interface allows non-programmers to extract the entire archive in minutes.
Automatic handling of sequential pagination via the comic ID URL structure.
Scheduled runs can detect and scrape new comics every Monday, Wednesday, and Friday.
Direct cloud-to-database export eliminates the need for local storage management.
No credit card requiredFree tier availableNo setup needed

AI makes it easy to scrape xkcd 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 xkcd. Just type it in plain language — no coding or selectors needed.
  2. AI Extracts the Data: Our artificial intelligence navigates xkcd, 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 interface allows non-programmers to extract the entire archive in minutes.
  • Automatic handling of sequential pagination via the comic ID URL structure.
  • Scheduled runs can detect and scrape new comics every Monday, Wednesday, and Friday.
  • Direct cloud-to-database export eliminates the need for local storage management.

No-Code Web Scrapers for xkcd

Point-and-click alternatives to AI-powered scraping

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

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

def scrape_xkcd_page(comic_id):
    url = f'https://xkcd.com/{comic_id}/'
    headers = {'User-Agent': 'ScrapingGuideBot/1.0'}
    
    # Send request to the comic page
    response = requests.get(url, headers=headers)
    if response.status_code == 200:
        soup = BeautifulSoup(response.text, 'html.parser')
        
        # Extract the title and image metadata
        comic_div = soup.find(id='comic')
        img = comic_div.find('img')
        
        data = {
            'title': soup.find(id='ctitle').text,
            'img_url': 'https:' + img['src'],
            'alt_text': img['title']
        }
        return data

# Example: Scrape comic #1000
print(scrape_xkcd_page(1000))

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 xkcd with Code

Python + Requests
import requests
from bs4 import BeautifulSoup

def scrape_xkcd_page(comic_id):
    url = f'https://xkcd.com/{comic_id}/'
    headers = {'User-Agent': 'ScrapingGuideBot/1.0'}
    
    # Send request to the comic page
    response = requests.get(url, headers=headers)
    if response.status_code == 200:
        soup = BeautifulSoup(response.text, 'html.parser')
        
        # Extract the title and image metadata
        comic_div = soup.find(id='comic')
        img = comic_div.find('img')
        
        data = {
            'title': soup.find(id='ctitle').text,
            'img_url': 'https:' + img['src'],
            'alt_text': img['title']
        }
        return data

# Example: Scrape comic #1000
print(scrape_xkcd_page(1000))
Python + Playwright
from playwright.sync_api import sync_playwright

def scrape_with_playwright(comic_id):
    with sync_playwright() as p:
        browser = p.chromium.launch(headless=True)
        page = browser.new_page()
        page.goto(f'https://xkcd.com/{comic_id}/')
        
        # Wait for the comic element to load
        page.wait_for_selector('#comic img')
        
        title = page.inner_text('#ctitle')
        img_src = page.get_attribute('#comic img', 'src')
        alt_text = page.get_attribute('#comic img', 'title')
        
        print(f'Comic {comic_id}: {title}')
        print(f'Alt Text: {alt_text}')
        
        browser.close()

scrape_with_playwright(2500)
Python + Scrapy
import scrapy

class XkcdSpider(scrapy.Spider):
    name = 'xkcd_spider'
    start_urls = ['https://xkcd.com/1/']

    def parse(self, response):
        yield {
            'num': response.url.split('/')[-2],
            'title': response.css('#ctitle::text').get(),
            'img_url': response.urljoin(response.css('#comic img::attr(src)').get()),
            'alt': response.css('#comic img::attr(title)').get()
        }

        # Follow the 'Next' button to crawl the entire archive
        next_page = response.css('a[rel="next"]::attr(href)').get()
        if next_page and next_page != '#':
            yield response.follow(next_page, self.parse)
Node.js + Puppeteer
const puppeteer = require('puppeteer');

(async () => {
  const browser = await puppeteer.launch();
  const page = await browser.newPage();
  await page.goto('https://xkcd.com/614/');

  const comicData = await page.evaluate(() => {
    const img = document.querySelector('#comic img');
    return {
      title: document.querySelector('#ctitle').innerText,
      imgUrl: img.src,
      altText: img.title
    };
  });

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

What You Can Do With xkcd Data

Explore practical applications and insights from xkcd data.

NLP Sentiment Analysis

Researchers can analyze the text of thousands of comics to see how the tone of technical humor has evolved over decades.

How to implement:

  1. 1Extract transcripts and alt-text using the JSON API.
  2. 2Tokenize the text and remove standard stop words.
  3. 3Apply a sentiment analyzer like VADER or TextBlob.
  4. 4Visualize sentiment trends relative to the comic release years.

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

What You Can Do With xkcd Data

  • NLP Sentiment Analysis

    Researchers can analyze the text of thousands of comics to see how the tone of technical humor has evolved over decades.

    1. Extract transcripts and alt-text using the JSON API.
    2. Tokenize the text and remove standard stop words.
    3. Apply a sentiment analyzer like VADER or TextBlob.
    4. Visualize sentiment trends relative to the comic release years.
  • Technical Keyword Extraction

    Create a database of technical terms frequently used in pop culture to identify emerging tech trends.

    1. Scrape all comic titles and transcripts.
    2. Identify scientific and technical keywords using an NER model.
    3. Calculate keyword frequency and density across different eras of the comic.
    4. Map these keywords to real-world technology release dates (e.g., Python 3, SpaceX).
  • Offline Comic Browser App

    Developers can create mobile-friendly, offline-first applications for fans to read comics without an internet connection.

    1. Scrape all image URLs and associated metadata.
    2. Download images and compress them for mobile performance.
    3. Create a local SQLite database with titles, numbers, and alt-text.
    4. Build a UI that reveals the 'alt-text' on long-press or tap.
  • AI Image Caption Training

    Use the highly descriptive alt-text and transcripts as a dataset for training machine learning models to describe complex scenes.

    1. Download comic images and their corresponding transcripts.
    2. Clean the data to remove non-descriptive 'punchline' humor from transcripts.
    3. Use the image-text pairs to fine-tune a multimodal LLM.
    4. Evaluate the model's ability to generate humor or technical descriptions.
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
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Smart Workflows

Pro Tips for Scraping xkcd

Expert advice for successfully extracting data from xkcd.

Always check the official JSON API at https

//xkcd.com/info.0.json first; it is significantly faster than parsing HTML.

When scraping images, ensure you add 'https

' to the src attribute, as xkcd often uses protocol-relative paths (//imgs.xkcd.com).

Respect the server by limiting your requests to 1-2 per second; xkcd is very permissive but large bursts are unnecessary.

Use the 'Permanent Link' found at the bottom of each page to ensure your database links don't break if the site structure changes.

If you need deeper explanations of the jokes, consider cross-referencing with the 'Explain xkcd' community wiki.

Store the comic ID as a primary key in your database to handle the sequential nature of the data efficiently.

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 xkcd

Find answers to common questions about xkcd