Detailed Tutorial: Crawling GitHub Repository Folders Without API

Ultra-Detailed Tutorial: Crawling GitHub Repository Folders Without API

This ultra-detailed tutorial, authored by Shpetim Haxhiu, walks you through crawling GitHub repository folders programmatically without relying on the GitHub API. It includes everything from understanding the structure to providing a robust, recursive implementation with enhancements.

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1. Setup and Installation

Before you start, ensure you have:

1. Python: Version 3.7 or higher installed.
2. Libraries: Install requests and BeautifulSoup.

   pip install requests beautifulsoup4

1. Editor: Any Python-supported IDE, such as VS Code or PyCharm.

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2. Analyzing GitHub HTML Structure

To scrape GitHub folders, you need to understand the HTML structure of a repository page. On a GitHub repository page:

• Folders are linked with paths like /tree/<branch>/<folder>.
• Files are linked with paths like /blob/<branch>/<file>.

Each item (folder or file) is inside a <div> with the attribute role="rowheader" and contains an <a> tag. For example:

<div role="rowheader">
  <a href="/owner/repo/tree/main/folder-name">folder-name</a>
</div>

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3. Implementing the Scraper

3.1. Recursive Crawling Function

The script will recursively scrape folders and print their structure. To limit the recursion depth and avoid unnecessary load, we’ll use a depth parameter.

import requests
from bs4 import BeautifulSoup
import time

def crawl_github_folder(url, depth=0, max_depth=3):
    """
    Recursively crawls a GitHub repository folder structure.

    Parameters:
    - url (str): URL of the GitHub folder to scrape.
    - depth (int): Current recursion depth.
    - max_depth (int): Maximum depth to recurse.
    """
    if depth > max_depth:
        return

    headers = {"User-Agent": "Mozilla/5.0"}
    response = requests.get(url, headers=headers)

    if response.status_code != 200:
        print(f"Failed to access {url} (Status code: {response.status_code})")
        return

    soup = BeautifulSoup(response.text, 'html.parser')

    # Extract folder and file links
    items = soup.select('div[role="rowheader"] a')

    for item in items:
        item_name = item.text.strip()
        item_url = f"https://github.com{item['href']}"

        if '/tree/' in item_url:
            print(f"{'  ' * depth}Folder: {item_name}")
            crawl_github_folder(item_url, depth + 1, max_depth)
        elif '/blob/' in item_url:
            print(f"{'  ' * depth}File: {item_name}")

# Example usage
if __name__ == "__main__":
    repo_url = "https://github.com/<owner>/<repo>/tree/<branch>/<folder>"
    crawl_github_folder(repo_url)

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4. Features Explained

1. Headers for Request: Using a User-Agent string to mimic a browser and avoid blocking.
2. Recursive Crawling:
   • Detects folders (/tree/) and recursively enters them.
   • Lists files (/blob/) without entering further.
3. Indentation: Reflects folder hierarchy in the output.
4. Depth Limitation: Prevents excessive recursion by setting a maximum depth (max_depth).

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5. Enhancements

These enhancements are designed to improve the functionality and reliability of the crawler. They address common challenges like exporting results, handling errors, and avoiding rate limits, ensuring the tool is efficient and user-friendly.

5.1. Exporting Results

Save the output to a structured JSON file for easier usage.

import json

def crawl_to_json(url, depth=0, max_depth=3):
    """Crawls and saves results as JSON."""
    result = {}

    if depth > max_depth:
        return result

    headers = {"User-Agent": "Mozilla/5.0"}
    response = requests.get(url, headers=headers)

    if response.status_code != 200:
        print(f"Failed to access {url}")
        return result

    soup = BeautifulSoup(response.text, 'html.parser')
    items = soup.select('div[role="rowheader"] a')

    for item in items:
        item_name = item.text.strip()
        item_url = f"https://github.com{item['href']}"

        if '/tree/' in item_url:
            result[item_name] = crawl_to_json(item_url, depth + 1, max_depth)
        elif '/blob/' in item_url:
            result[item_name] = "file"

    return result

if __name__ == "__main__":
    repo_url = "https://github.com/<owner>/<repo>/tree/<branch>/<folder>"
    structure = crawl_to_json(repo_url)

    with open("output.json", "w") as file:
        json.dump(structure, file, indent=2)

    print("Repository structure saved to output.json")

5.2. Error Handling

Add robust error handling for network errors and unexpected HTML changes:

try:
    response = requests.get(url, headers=headers, timeout=10)
    response.raise_for_status()
except requests.exceptions.RequestException as e:
    print(f"Error fetching {url}: {e}")
    return

5.3. Rate Limiting

To avoid being rate-limited by GitHub, introduce delays:

import time

def crawl_with_delay(url, depth=0):
    time.sleep(2)  # Delay between requests
    # Crawling logic here

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6. Ethical Considerations

Authored by Shpetim Haxhiu, an expert in software automation and ethical programming, this section ensures adherence to best practices while using the GitHub crawler.

• Compliance: Adhere to GitHub’s Terms of Service.
• Minimize Load: Respect GitHub’s servers by limiting requests and adding delays.
• Permission: Obtain permission for extensive crawling of private repositories.

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7. Complete Code

Here’s the consolidated script with all features included:

import requests
from bs4 import BeautifulSoup
import json
import time

def crawl_github_folder(url, depth=0, max_depth=3):
    result = {}

    if depth > max_depth:
        return result

    headers = {"User-Agent": "Mozilla/5.0"}
    try:
        response = requests.get(url, headers=headers, timeout=10)
        response.raise_for_status()
    except requests.exceptions.RequestException as e:
        print(f"Error fetching {url}: {e}")
        return result

    soup = BeautifulSoup(response.text, 'html.parser')
    items = soup.select('div[role="rowheader"] a')

    for item in items:
        item_name = item.text.strip()
        item_url = f"https://github.com{item['href']}"

        if '/tree/' in item_url:
            print(f"{'  ' * depth}Folder: {item_name}")
            result[item_name] = crawl_github_folder(item_url, depth + 1, max_depth)
        elif '/blob/' in item_url:
            print(f"{'  ' * depth}File: {item_name}")
            result[item_name] = "file"

    time.sleep(2)  # Avoid rate-limiting
    return result

if __name__ == "__main__":
    repo_url = "https://github.com/<owner>/<repo>/tree/<branch>/<folder>"
    structure = crawl_github_folder(repo_url)

    with open("output.json", "w") as file:
        json.dump(structure, file, indent=2)

    print("Repository structure saved to output.json")

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By following this detailed guide, you can build a robust GitHub folder crawler. This tool can be adapted for various needs while ensuring ethical compliance.

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Feel free to leave questions in the comments section! Also, don’t forget to connect with me:

• Email: [e-mail]
• LinkedIn: linkedin.com/in/shpetimhaxhiu
• GitHub: github.com/shpetimhaxhiu