# Indeed Interview Insights Scraper — No API Key, No Login (`jamhimself/indeed-interview-insights-scraper`) Actor

Scrape Indeed company interview insights to JSON — no API key, no login. Get interview difficulty, process duration, candidate sentiment & sample questions per company. Bulk, pay per result.

- **URL**: https://apify.com/jamhimself/indeed-interview-insights-scraper.md
- **Developed by:** [Jaime Martinez](https://apify.com/jamhimself) (community)
- **Categories:** Lead generation, Agents, AI
- **Stats:** 1 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$10.00 / 1,000 company profiles

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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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 Insights Scraper (No API Key)

Scrape Indeed company interview insights into clean JSON — no API key, no login. Give it any company's Indeed interview page (or a plain slug) and get a structured per-company interview snapshot: overall interview difficulty, typical process duration, candidate experience sentiment (each with response counts), and sample interview questions with job title and location. Built for developers, data analysts, recruiters, and AI/RAG pipelines that need company interview intelligence in bulk — pay per result, no subscription.

Reliability: requests use Chrome TLS impersonation over residential US proxies with per-request session rotation to clear Indeed's anti-bot walls.

### ⚡ Quick start

Paste this into the Actor's **Input** (JSON view) and hit **Start**:

```json
{
  "companies": ["Amazon.com", "Walmart"]
}
```

Each result row looks like:

```json
{
  "company": "Amazon.com",
  "companyUrl": "https://www.indeed.com/cmp/Amazon.com/interviews",
  "overallDifficulty": "MEDIUM",
  "difficultyResponses": 4128,
  "typicalDuration": "About a week",
  "experienceSentiment": "FAVORABLE",
  "experienceResponses": 3902,
  "sampleQuestions": [
    {
      "answer": "Tell me about a time you had to make a decision without all the information you needed.",
      "jobTitle": "Warehouse Associate",
      "location": "Phoenix, AZ",
      "date": "2024-11-03"
    }
  ]
}
```

Or run it from the API:

```
POST https://api.apify.com/v2/acts/jamhimself~indeed-interview-insights-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN
```

### What you get

One dataset row per company, with these fields:

| Field | Description |
|---|---|
| `company` | Indeed company slug (e.g. `Amazon.com`) |
| `companyUrl` | Direct URL to the company's Indeed interviews page |
| `overallDifficulty` | Reported interview difficulty (e.g. EASY / MEDIUM / HARD) |
| `difficultyResponses` | Number of candidate responses behind the difficulty rating |
| `typicalDuration` | How long the interview process usually takes |
| `durationResponses` | Number of responses behind the duration figure |
| `experienceSentiment` | Overall candidate interview experience sentiment (e.g. FAVORABLE) |
| `experienceResponses` | Number of responses behind the experience sentiment |
| `sampleQuestions` | List of reported interview questions, each with `answer`, `jobTitle`, `location`, `date` |
| `sampleQuestionCount` | Count of sample interview questions returned |

### Use cases

- **Competitor hiring intelligence** — track interview difficulty and candidate sentiment across rival employers.
- **Recruiting and sourcing prep** — see the real interview questions candidates report before you build screens or coach applicants.
- **Talent market research** — compare interview experience and process duration across companies and industries.
- **LLM / RAG knowledge feed** — pipe structured interview Q\&A and difficulty signals into a retrieval or agent workflow.
- **Interview dataset building** — assemble a bulk dataset of company interview questions, durations, and sentiment scores.
- **Employer brand monitoring** — watch how a company's interview experience sentiment trends over time.

### Input

| Param | Type | Description |
|---|---|---|
| `startUrls` | array | Indeed company interview pages. Prefilled example: `https://www.indeed.com/cmp/Amazon.com/interviews` |
| `companies` | array | Alternative: plain Indeed company slugs, e.g. `Amazon.com` |

Provide either `startUrls`, `companies`, or both.

```json
{
  "startUrls": [
    { "url": "https://www.indeed.com/cmp/Amazon.com/interviews" }
  ],
  "companies": ["Google", "Microsoft"]
}
```

### Pricing

Pay per company delivered. No subscription.

*Part of the Employer Intelligence suite. If this actor saves you time, a quick review on the Apify Store really helps.*

# Actor input Schema

## `startUrls` (type: `array`):

Indeed company interview pages, e.g. https://www.indeed.com/cmp/Amazon.com/interviews

## `companies` (type: `array`):

Alternative: Indeed slugs, e.g. "Amazon.com".

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://www.indeed.com/cmp/Amazon.com/interviews"
    }
  ]
}
```

# Actor output Schema

## `companies` (type: `string`):

One row per company.

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_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-insights-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# 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-insights-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-insights-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=jamhimself/indeed-interview-insights-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/ZZHXitdbdlyJJKyYR/builds/VkPf1grBYdSboqRGI/openapi.json