Glassdoor Interviews Scraper — No Login, No API Key
Pricing
$7.00 / 1,000 interviews
Glassdoor Interviews Scraper — No Login, No API Key
Scrape Glassdoor interview experiences and questions to JSON — jobTitle, difficulty, outcome, questions, process writeups. No API key, no login, bulk, pay per result.
Pricing
$7.00 / 1,000 interviews
Rating
0.0
(0)
Developer
Jaime Martinez
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
13 hours ago
Last modified
Categories
Share
Scrape Glassdoor interview experiences and interview questions into clean, structured JSON — no API key, no login, no account. Point it at any company's Glassdoor interview page and it returns every candidate's interview writeup: the jobTitle interviewed for, difficulty rating, overall experience, the outcome, the full processDescription, the actual questions asked (with questionCount), plus location, date, durationDays, and advice. Built for developers, data analysts, recruiters, and talent-intelligence teams who need Glassdoor interview data in bulk to feed dashboards, datasets, or an AI/RAG pipeline. Pay per result — no subscription.
Reliability: the scraper uses Chrome TLS impersonation (rotating Chrome 116–131 fingerprints) over residential US proxies with per-request session rotation to clear Glassdoor's anti-bot walls, so runs stay consistent at scale.
What you get
Each interview experience is returned as one row with these fields:
| Field | Description |
|---|---|
employerId | Glassdoor employer ID parsed from the URL |
interviewId | Unique ID of the interview experience |
jobTitle | The role the candidate interviewed for |
location | Interview location |
difficulty | Reported difficulty (e.g. EASY / AVERAGE / DIFFICULT) |
experience | Overall sentiment (POSITIVE / NEUTRAL / NEGATIVE) |
outcome | Result — offer accepted, declined, or no offer |
durationDays | Length of the interview process in days |
date | When the interview took place |
currentEmployee | Whether the reviewer was a current employee |
processDescription | The candidate's full writeup of the interview process |
questions | Array of the interview questions the candidate was asked |
questionCount | Number of questions captured |
advice | Advice the candidate left for future applicants |
negotiation | Notes on salary/offer negotiation, when provided |
helpfulCount | How many users marked the experience helpful |
reviewUrl | Link back to the company's Glassdoor interview page |
Use cases
- Interview prep datasets — collect real interview questions and process descriptions by company and role to build study guides or a candidate-prep product.
- Competitor & employer intelligence — monitor how candidates describe interviewing at rival companies, tracking difficulty, sentiment, and outcomes over time.
- Recruiting & sourcing research — see how your own hiring process is perceived and benchmark candidate experience against peers.
- Talent-market analysis — aggregate difficulty and experience signals across companies to spot hiring trends and role-level patterns.
- LLM / RAG knowledge feed — pipe
processDescriptionandquestionsinto an embeddings store to power an interview-coaching or Q&A assistant. - Structured dataset building — export thousands of interview experiences as JSON/CSV for analytics, NLP, or academic research.
Input
| Param | Description |
|---|---|
startUrls | One or more Glassdoor interview page URLs, e.g. https://www.glassdoor.com/Interview/Google-Interview-Questions-E9079.htm. |
companyUrls | Alternative to startUrls: a plain list of Glassdoor interview URLs. |
maxInterviews | Max interview experiences to return per company. Default 100, up to 50000. Pagination is automatic. |
Example:
{"startUrls": [{ "url": "https://www.glassdoor.com/Interview/Google-Interview-Questions-E9079.htm" }],"maxInterviews": 200}
Pricing
Pay per interview delivered. No subscription — you only pay for the interview experiences you receive.
If the actor works well for you, a quick review on the Apify Store really helps. Part of the Employer Intelligence suite — pair it with the Glassdoor and Indeed reviews & salaries scrapers.