# snehasishroy/leetcode-companywise-interview-questions

Contains latest company wise questions of LeetCode as of July 2026.

Repository: https://github.com/snehasishroy/leetcode-companywise-interview-questions
Canonical: https://ross.abutalabs.com/products/leetcode-companywise-interview-questions
Homepage: https://snehasishroy.com/
Language: Java
License Family: other
Topics: leetcode, leetcode-companies, leetcode-company-questions, leetcode-company-wise-questions, leetcode-java, interview, leetcode-premium, premium, leetcode-questions, amazon-interview, facebook-interview, google-interview, meta-interview, microsoft-interview, apple-interview, linkedin-interview, interview-questions
Last push: 2026-08-21T19:06:52+00:00

## Health v2 (maintenance only)
Score: 76/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 98, release rhythm 35, longevity 97
- inputs: {"age_days": 1369, "days_push": 12, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 7549, forks 1565 (observed 2026-08-28T04:10:00.669661+00:00)

## What it is
A curated dataset of LeetCode questions categorized by company (Google, Amazon, Meta, Microsoft, etc.) and recency, with difficulty, acceptance, and frequency metadata in CSV form. It includes a Java/Selenium scraper that LeetCode Premium subscribers can run to refresh the snapshot.

## Use cases
- find the most frequently asked LeetCode questions at a specific company
- prepare for a Google or Amazon coding interview
- filter LeetCode premium questions by frequency and difficulty
- scrape company-wise LeetCode question lists with a Selenium script
- track which questions a company asked in the last 30 days or 6 months

## When to choose
- you have a coding interview scheduled at a big tech company and want company-specific practice
- you want a ready-made CSV snapshot of company-wise LeetCode questions without scraping yourself
- you have LeetCode Premium and want to contribute fresh data via the included scraper

## When to avoid
- you need continuously updated data - the repo is a periodic snapshot, not a live service
- you don't have LeetCode Premium and need full question content or solutions
- you want an interactive filtering UI - you must use external CSV tools like Excel or Google Sheets

## Facets
- artifact type: dataset
- maturity: active
- function: web-scraping, data-generation, developer-tools
- domain: education, developer-tools, crawlers
- platform: cross-platform, jvm
- tags: leetcode, interview-preparation, company-wise-questions, csv-dataset, selenium-scraper, coding-interview

## Member repositories
- snehasishroy/leetcode-companywise-interview-questions (main) score 76

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:00.669661+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:37:24.065248+00:00, confidence not recorded.
  - readme: https://github.com/snehasishroy/leetcode-companywise-interview-questions (fetched 2026-08-28T04:10:00.669661+00:00, sha 96d7341fcdd2)
  - homepage: https://snehasishroy.com/ (fetched 2026-08-29T08:32:26.415903+00:00, sha ef23f4b09932)
- Data as of 2026-08-30T08:39:29.467469+00:00.