LeetCode Interview Questions Scraper
Pay $10.00 for 1,000 results
LeetCode Interview Questions Scraper
Pay $10.00 for 1,000 results
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.
Harvest DataActor Metrics
3 Monthly users
No reviews yet
1 bookmark
>99% runs succeeded
Created in Mar 2025
Modified 9 days ago
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
- Deploy the actor on Apify.
- Provide the required input parameters in the actor's interface or via API.
- Run the actor and wait for the scraping process to complete.
- 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.
