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Commit e6fee97

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neenza
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Initial commit of LeetCode Scraper project
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‎.github/workflows/python-app.yml

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name: Python Application
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on:
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push:
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branches: [ main ]
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pull_request:
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branches: [ main ]
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jobs:
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build:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v2
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- name: Set up Python
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uses: actions/setup-python@v2
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with:
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python-version: '3.9'
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- name: Install dependencies
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run: |
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python -m pip install --upgrade pip
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if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
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- name: Lint with flake8
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run: |
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pip install flake8
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# stop the build if there are Python syntax errors or undefined names
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flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
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# exit-zero treats all errors as warnings
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flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics

‎.gitignore

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# Python
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__pycache__/
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*.py[cod]
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*$py.class
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*.so
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.Python
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env/
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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*.egg-info/
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.installed.cfg
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*.egg
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# Virtual Environment
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venv/
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ENV/
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env/
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# IDE
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.idea/
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.vscode/
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*.swp
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*.swo
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# Project specific
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problems/

‎LICENSE

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MIT License
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Copyright (c) 2025 neenza
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.

‎README.md

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# LeetCode Scraper
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A Python tool to scrape problem details from LeetCode and save them in JSON format.
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## Features
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- Scrape LeetCode problems by slug (URL name)
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- Extract problem title, description, examples, and constraints
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- Extract hints, follow-ups, and solutions when available
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- Save data in structured JSON format
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- Get a list of available problems with filtering options
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## Installation
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1. Clone this repository
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2. Install the required dependencies:
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```bash
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pip install -r requirements.txt
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```
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## Usage
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### Scrape a Specific Problem
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```python
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from leetcode_scraper import LeetCodeScraper
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scraper = LeetCodeScraper()
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problem_data = scraper.scrape_problem("two-sum")
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print(problem_data)
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```
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### Scrape Multiple Problems
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```python
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scraper = LeetCodeScraper()
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problem_list = scraper.scrape_problem_list(limit=5) # Get 5 problems
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for problem in problem_list:
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print(f"Scraping: {problem['title']}")
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scraper.scrape_problem(problem['slug'])
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time.sleep(2) # Add delay between requests
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```
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## Output Format
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The scraper saves each problem as a JSON file with the following structure:
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```json
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{
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"title": "Two Sum",
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"problem_id": "1",
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"frontend_id": "1",
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"difficulty": "Easy",
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"problem_slug": "two-sum",
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"topics": ["Array", "Hash Table"],
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"description": "Given an array of integers nums and an integer target...",
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"examples": [
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{
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"example_num": 1,
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"example_text": "Input: nums = [2,7,11,15], target = 9\nOutput: [0,1]"
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}
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],
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"constraints": [
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"2 <= nums.length <= 10^4",
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"-10^9 <= nums[i] <= 10^9",
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"-10^9 <= target <= 10^9"
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],
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"follow_ups": [
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"Follow-up: Can you come up with an algorithm that is less than O(n2) time complexity?"
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],
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"hints": [
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"A really brute force way would be to search for all possible pairs of numbers but that would be too slow.",
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"Try to use the fact that the array is sorted and use two pointers to speed up the search."
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],
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"code_snippets": {
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"python": "class Solution:\n def twoSum(self, nums: List[int], target: int) -> List[int]:\n "
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}
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}
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```
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## Notes
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- Be respectful of LeetCode's servers and avoid making too many requests in a short period
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- The tool adds a delay between requests to avoid being rate-limited

‎example_usage.py

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from leetcode_scraper import LeetCodeScraper
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import json
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import time
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def print_problem_details(problem_data):
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"""Print formatted problem details"""
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if not problem_data:
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print("No problem data available")
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return
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print("="*80)
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print(f"TITLE: {problem_data.get('title')}")
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print(f"DIFFICULTY: {problem_data.get('difficulty')}")
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print("-"*80)
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print("DESCRIPTION:")
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print(problem_data.get('description', 'No description available'))
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print("-"*80)
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# Print examples
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print("EXAMPLES:")
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for example in problem_data.get('examples', []):
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print(f"Example {example.get('example_num')}:")
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print(example.get('example_text'))
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print()
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# Print constraints
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print("CONSTRAINTS:")
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for constraint in problem_data.get('constraints', []):
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print(f"- {constraint}")
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# Print follow-ups if available
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follow_ups = problem_data.get('follow_ups', [])
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if follow_ups:
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print("-"*80)
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print("FOLLOW-UPS:")
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for follow_up in follow_ups:
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print(f"- {follow_up}")
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# Print hints if available
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hints = problem_data.get('hints', [])
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if hints:
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print("-"*80)
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print("HINTS:")
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for i, hint in enumerate(hints, 1):
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print(f"Hint {i}: {hint}")
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print("="*80)
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if __name__ == "__main__":
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scraper = LeetCodeScraper()
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# Example 1: Scrape a single problem
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print("Scraping 'set-matrix-zeroes' problem...")
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problem_data = scraper.scrape_problem("set-matrix-zeroes")
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print_problem_details(problem_data)
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# Example 2: Get a list of problems and scrape the first 3
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print("\nGetting list of problems...")
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problem_list = scraper.scrape_problem_list(limit=3)
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print(f"Found {len(problem_list)} problems:")
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for i, problem in enumerate(problem_list, 1):
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print(f"{i}. {problem['title']} (Difficulty: {'Easy' if problem['difficulty'] == 1 else 'Medium' if problem['difficulty'] == 2 else 'Hard'})")
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# Uncomment to scrape all problems in the list
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"""
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print("\nScraping all problems in the list...")
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for problem in problem_list:
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print(f"Scraping {problem['title']}...")
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scraper.scrape_problem(problem['slug'])
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time.sleep(2) # Add delay between requests
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"""

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