# Best Glassdoor Job Scraper

**Use case:** 

Gather detailed job postings for Software Engineer positions in San Francisco, CA. This task retrieves unique listings, including company insights, employee reviews, and salary data, all tailored to a one-day job posting window. Perfect for in-depth recruitment analysis and market research.

## Input

```json
{
  "keywords": [
    "software engineer"
  ],
  "country": "United States",
  "location": "San Francisco, CA",
  "datePosted": "1",
  "saveOnlyUniqueItems": false,
  "deepSearch": false,
  "includeNoSalaryJob": true,
  "resumeKeywords": [
    {
      "keyword": "JavaScript",
      "aliases": [
        "JS"
      ]
    },
    {
      "keyword": "TypeScript",
      "aliases": [
        "TS"
      ]
    },
    {
      "keyword": "Node.js",
      "aliases": [
        "Node",
        "NodeJS"
      ]
    },
    {
      "keyword": "React Native",
      "aliases": [
        "RN"
      ]
    },
    {
      "keyword": "React"
    },
    {
      "keyword": "Expo"
    }
  ]
}
```

## Output

```json
{
  "title": {
    "label": "Job Title",
    "format": "string"
  },
  "company.companyName": {
    "label": "Company",
    "format": "string"
  },
  "company.logoImgUrl": {
    "label": "Company Logo",
    "format": "string"
  },
  "location_city": {
    "label": "City",
    "format": "string"
  },
  "location_state": {
    "label": "State/Province",
    "format": "string"
  },
  "location_country": {
    "label": "Country",
    "format": "string"
  },
  "location_postalCode": {
    "label": "Postal Code",
    "format": "string"
  },
  "baseSalary_min": {
    "label": "Salary (min)",
    "format": "number"
  },
  "baseSalary_max": {
    "label": "Salary (max)",
    "format": "number"
  },
  "baseSalary_median": {
    "label": "Salary (median)",
    "format": "number"
  },
  "salary_period": {
    "label": "Salary Period",
    "format": "string"
  },
  "salary_currency": {
    "label": "Currency",
    "format": "string"
  },
  "salarySource": {
    "label": "Salary Source",
    "format": "string"
  },
  "jobTypes": {
    "label": "Contract Type",
    "format": "array"
  },
  "educationRequired": {
    "label": "Experience Level",
    "format": "array"
  },
  "experienceRequired": {
    "label": "Years of Experience",
    "format": "array"
  },
  "remoteWorkTypes": {
    "label": "Work Type",
    "format": "array"
  },
  "ageInDays": {
    "label": "Posted (days ago)",
    "format": "number"
  },
  "datePublished": {
    "label": "Published Date",
    "format": "string"
  },
  "description_text": {
    "label": "Job Description",
    "format": "string"
  },
  "applyUrl": {
    "label": "Apply URL",
    "format": "string"
  },
  "isEasyApply": {
    "label": "Apply Type",
    "format": "boolean"
  },
  "jobUrl": {
    "label": "Job URL",
    "format": "string"
  },
  "key": {
    "label": "ID",
    "format": "string"
  },
  "normalizedTitle": {
    "label": "Normalized Title",
    "format": "string"
  },
  "jobCategory": {
    "label": "Category",
    "format": "string"
  },
  "dateScraped": {
    "label": "Scraped At",
    "format": "string"
  },
  "expired": {
    "label": "Expired",
    "format": "boolean"
  },
  "isSponsored": {
    "label": "Sponsored",
    "format": "boolean"
  },
  "jobRating": {
    "label": "Job Rating",
    "format": "number"
  },
  "location_latitude": {
    "label": "Latitude",
    "format": "number"
  },
  "location_longitude": {
    "label": "Longitude",
    "format": "number"
  },
  "attributes": {
    "label": "Attributes",
    "format": "array"
  },
  "searchKeyword": {
    "label": "Search Keyword",
    "format": "string"
  },
  "searchUrl": {
    "label": "Search URL",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Glassdoor Jobs | Remove Duplicate Jobs | Cheapest](https://apify.com/cheap_scraper/glassdoor-jobs-scraper-remove-duplicate-jobs.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/cheap_scraper/glassdoor-jobs-scraper-remove-duplicate-jobs.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/cheap_scraper/glassdoor-jobs-scraper-remove-duplicate-jobs.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).