# Indeed Interview Questions Scraper - No API Key (`jamhimself/indeed-interview-questions-scraper`) Actor Scrape Indeed interview questions and candidate answers for any company as JSON. Get question, answer, jobTitle, location, date. No API key, no login, bulk, pay per result. - **URL**: https://apify.com/jamhimself/indeed-interview-questions-scraper.md - **Developed by:** [Jaime Martinez](https://apify.com/jamhimself) (community) - **Categories:** Lead generation, Agents, AI - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $4.00 / 1,000 interview questions This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Indeed Interview Questions Scraper (No API Key) Scrape Indeed interview questions and candidate answers for any company as clean, structured JSON — no API key, no login. This Indeed interview questions scraper extracts the real questions job candidates report on Indeed company pages along with their answers, `jobTitle`, `location`, and `date`, so you can build interview prep datasets, sourcing intelligence, and hiring research at scale. Point it at any `/cmp//interviews` page and pull bulk Q&A, pay per result. Built for developers, recruiters, talent analysts, and AI/RAG pipelines that need company interview question data without scraping Indeed by hand. Reliability: runs on curl_cffi with Chrome TLS impersonation, residential US proxies, and per-request session rotation to clear Indeed anti-bot walls. ### What you get Each row is one interview question and answer: | Field | Description | |---|---| | `company` | Company the interview question belongs to | | `question` | The interview question topic reported by candidates | | `answer` | What the candidate reported for that question | | `jobTitle` | Role the candidate interviewed for | | `location` | Where the interview took place | | `date` | Submission date reported on Indeed | | `sourceUrl` | Indeed interview page the row was pulled from | ### Use cases - **Interview prep datasets** — collect real company interview questions and answers to build study guides or candidate coaching content. - **Recruiter & sourcing intelligence** — see what companies actually ask by role and location to benchmark your own hiring loops. - **Talent market research** — track interview question trends across competitors and industries over time. - **LLM / RAG feed** — pipe structured interview Q&A into a retrieval index or fine-tuning corpus for hiring and career assistants. - **Recruiting content & SEO** — power "top interview questions at [company]" articles and career resources with sourced data. - **Dataset building** — export bulk, structured interview questions data as JSON, CSV, or Excel for analysis. ### Input | Param | Description | Example | |---|---|---| | `startUrls` | Indeed company interview pages | `https://www.indeed.com/cmp/Amazon.com/interviews` | | `companies` | Alternative to URLs: plain Indeed company slugs | `Amazon.com` | | `maxQuestions` | Max interview Q&A per company (default `200`, max `5000`) | `200` | Example: ```json { "startUrls": [{ "url": "https://www.indeed.com/cmp/Amazon.com/interviews" }], "maxQuestions": 200 } ```` ### Pricing Pay per question delivered. No subscription. *A quick review on the Apify Store really helps keep this actor maintained — thank you.* # Actor input Schema ## `startUrls` (type: `array`): Indeed company interview pages, e.g. https://www.indeed.com/cmp/Amazon.com/interviews ## `companies` (type: `array`): Alternative to startUrls: Indeed company slugs, e.g. "Amazon.com". ## `maxQuestions` (type: `integer`): Maximum interview questions and answers to return per company. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.indeed.com/cmp/Amazon.com/interviews" } ], "maxQuestions": 200 } ``` # Actor output Schema ## `questions` (type: `string`): One row per Q\&A. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "startUrls": [ { "url": "https://www.indeed.com/cmp/Amazon.com/interviews" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("jamhimself/indeed-interview-questions-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "startUrls": [{ "url": "https://www.indeed.com/cmp/Amazon.com/interviews" }] } # Run the Actor and wait for it to finish run = client.actor("jamhimself/indeed-interview-questions-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "startUrls": [ { "url": "https://www.indeed.com/cmp/Amazon.com/interviews" } ] }' | apify call jamhimself/indeed-interview-questions-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jamhimself/indeed-interview-questions-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Indeed Interview Questions Scraper - No API Key", "description": "Scrape Indeed interview questions and candidate answers for any company as JSON. Get question, answer, jobTitle, location, date. No API key, no login, bulk, pay per result.", "version": "1.0", "x-build-id": "kbfC3koeumsGOPY1X" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jamhimself~indeed-interview-questions-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jamhimself-indeed-interview-questions-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jamhimself~indeed-interview-questions-scraper/runs": { "post": { "operationId": "runs-sync-jamhimself-indeed-interview-questions-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jamhimself~indeed-interview-questions-scraper/run-sync": { "post": { "operationId": "run-sync-jamhimself-indeed-interview-questions-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "startUrls": { "title": "Indeed interview URLs", "type": "array", "description": "Indeed company interview pages, e.g. https://www.indeed.com/cmp/Amazon.com/interviews", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "companies": { "title": "Company slugs", "type": "array", "description": "Alternative to startUrls: Indeed company slugs, e.g. \"Amazon.com\".", "items": { "type": "string" } }, "maxQuestions": { "title": "Max Q&A per company", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum interview questions and answers to return per company.", "default": 200 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": 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