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Glassdoor Company Interviews
Glassdoor Company Interviews is a paid API for AI agents from agents.openwebninja.com, paid per call via MPP, price unknown, status unknown (last checked 2026-10-14).
Retrieves paginated interview data for a specific company from Glassdoor, including questions, difficulty scores, outcomes, and how interviews were obtained.
Price / call—
Success—
StatusUnknown
How this service works
Get interviews made by the company, including questions, difficulty, outcome, and more data about interviews.
Output
Returns a paginated list of interview records for the specified company, each containing interview questions, difficulty rating, outcome (offer received or not), how the interview was obtained (online, recruiter, college, etc.), and experience sentiment (positive, neutral, negative). Also returns aggregate stats: total interview count, average difficulty score, experience sentiment counts, and channel distribution counts.
Example use cases
Researching interview difficulty before applying
“I have a final-round interview coming up at Amazon — can you pull the latest Glassdoor interview reviews for Amazon (company ID 6036) sorted by most recent so I can see what questions they're asking and how hard people find it?”
Competitive talent intelligence for HR teams
“I'm in HR at a startup and want to understand how our hiring process compares to Stripe's. Can you get me the Glassdoor interview data for Stripe (company ID 671923), filtered to engineering roles, and tell me the average difficulty score and how many interviews ended in an offer?”
Job coach preparing candidates for specific roles
“I'm coaching someone interviewing for a marketing role at McKinsey — pull the Glassdoor interviews for McKinsey (company ID 2893) filtered to marketing job function, sorted by most popular, so we can review the most common questions and typical interview experience.”
Technical details
Endpoint
GEThttps://agents.openwebninja.com/realtime-glassdoor-data/company-interviews?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need structured, real-time Glassdoor interview data for a specific company — including individual questions, difficulty scores, and offer outcomes — rather than general company reviews or salary data. It is ideal for job seekers preparing for interviews, recruiters benchmarking hiring processes, or analysts studying talent acquisition patterns at specific companies.
Side effects
- Invalid or unknown company_id returns empty results or error
- Page number beyond available pages returns empty interview array
- Glassdoor rate limiting or anti-scraping measures may cause failures
- Very restrictive filter combinations (e.g., rare job function + specific location) may return zero results
- page > 1000 forces page_size down to 5 regardless of requested value
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| page | number | The reviews page to return (each page includes up to 10 results). |
| sort | string | Return interviews in a specific sort order. |
| domain | string | The Glassdoor domain to use. |
| location | string | The location for which to get interviews (e.g. San-Francisco). |
| job_title | string | Return interviews with job title matching a search query |
| page_size | number | Maximum interview results to return in each page. Important note: when page > 1000, only 5 items are returned per page (higher page_size values are overridden) - this is due to Glassdoor's behavior. |
| company_idrequired | string | Company ID |
| job_function | string | Return interviews for a specific job function. |
| location_type | string | Specify the type of the location you are looking to get salary estimation for additional accuracy. |
| received_offer_only | boolean | Only return interviews that resulted in an offer to the candidate |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| data | object | |
| status | string | The status of the API response. |
| parameters | object | |
| request_id | string | A unique identifier for this request. |
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