LeetCode Interview Questions Scraper

Overview

The LeetCode Interview Questions Scraper is an Apify actor designed to extract interview experiences and questions related to a specific company from LeetCode. This tool helps job seekers analyze common interview trends, question types, and candidate experiences.

Features

• Scrapes interview experiences from LeetCode based on a specified company.
• Allows filtering by a start date to get only recent posts.
• Limits the number of posts retrieved to a user-defined maximum.

Input Parameters

The actor accepts the following input parameters:

Parameter	Type	Description
company	string	(Required) The company to search for interview questions (e.g., "google").
maxToScrape	integer	The maximum number of interview posts to scrape. Default is 250.
startDate	string	The earliest date for posts to be retrieved, in the format YYYY-MM-DD.

Example Input

1{
2    "company": "google",
3    "maxToScrape": 100,
4    "startDate": "2024-01-01"
5}

Output Format

The scraper outputs a JSON array where each item represents an interview experience. Each object includes:

Field	Type	Description
title	string	Title of the interview experience post.
tags	string	Tags associated with the post, often including company name and level.
content	string	Detailed interview experience shared by the candidate.
creationdate	string	Timestamp of when the post was created.
upvoteCount	integer	Number of upvotes the post has received.

Example Output

1[
2    {
3        "title": "Google L4 Experience",
4        "tags": "google",
5        "content": "Recently I gave interviews for Google L4 Position...",
6        "creationdate": "2025-02-28T12:06:10.000Z",
7        "upvoteCount": 19
8    },
9    {
10        "title": "Google interview rejection - After strong interview performances",
11        "tags": "l3, google",
12        "content": "I applied for a Software Engineer 2 - L3 role...",
13        "creationdate": "2025-02-28T14:30:00.000Z",
14        "upvoteCount": 45
15    }
16]

How to Use

1. Deploy the actor on Apify.
2. Provide the required input parameters in the actor's interface or via API.
3. Run the actor and wait for the scraping process to complete.
4. Download the results in JSON or CSV format for analysis.

Use Cases

• Job Preparation: Helps candidates prepare for technical interviews by studying real-world experiences.
• Recruitment Analysis: Companies can analyze feedback on their interview process.
• Competitive Research: Helps companies understand interview trends at competing firms.

Limitations

• The scraper relies on LeetCode's website structure, which may change over time.
• Some posts may contain subjective opinions and should be interpreted accordingly.

Contact & Support

For questions, issues, or feature requests, please open an issue on the Apify platform or reach out to the developer community.