No-Code scraper · JSON API

Glassdoor Jobs Scraper

Collect Glassdoor job listings using job titles, locations and filters, with employer and role information.

JSON CSV & XLSX API access

Read the API reference →

From web pages to a dataset

What you can do

Research job listings for selected roles.

Compare employers, locations and available pay data.

Export hiring data for your application.

Set your sources

Open the scraper and enter your own URLs, search terms and limits.

Review & run

Check the cost estimate and confirm the task. Follow its progress in your account.

Use your data

Explore saved results and export CSV, JSON or XLSX. Downloads of saved results are free.

Know what to expect

Sample data & output fields

Illustrative example

These example values demonstrate the data shape; they are not a live scraper result. Available fields depend on the source, selected options and upstream data.

JSON · illustrative result

[
  {
    "id": 100,
    "title": "Example title",
    "url": "https://example.com/result",
    "rating": 4.5,
    "location": [],
    "pay": []
  }
]

Field	Type	Description
`id`	number	Id.
`title`	string	Title.
`url`	string	Url.
`rating`	number	Rating.
`location`	object	Location.
`pay`	object	Pay.

Start with a real configuration

Example input

This is the configured parser input. Replace the example sources with your own and review all limits before running.

JSON · example input

{
  "keywords": "Software Developer",
  "location": "New York",
  "daysOld": 30,
  "easyApply": true,
  "remoteWorkType": true,
  "minRating": 3.8,
  "radius": "10",
  "employerSizes": "5",
  "sortBy": "relevant_desc",
  "limit": 100,
  "urlParam": [
    {
      "key": "industryNId",
      "value": "10013"
    }
  ],
  "excludeJobIds": [
    "1010068133467",
    "1010057908309"
  ]
}

Explore input fields

Field	Type	Notes
`keywords`	string	Search by title, skill, or company
`location`	string	City, state, or country
`daysOld`	integer	Maximum days since posted
`easyApply`	boolean	Only include jobs with the Easy Apply option
`remoteWorkType`	boolean	Include only remote jobs
`minRating`	number	Minimum company rating (0.0 to 5.0)
`radius`	string	Search radius in miles around the specified location
`employerSizes`	string	Filter by company size based on number of employees
`sortBy`	string	Sort criteria
`limit`	integer	Maximum results count
`urlParam`	array	Pass additional URL parameters to the search request
`excludeJobIds`	array	List of job IDs to exclude from results

The same scraper in your application

Run through the API

Create an API key in your account, send the input to the queued endpoint and use the returned task ID to retrieve results. Sending a live request uses credits.

cURL · queue a task

curl --request POST 'https://extracto.cloud/api/v1/parsers/glassdoor-jobs-scraper/queue' \
  --header 'X-API-KEY: ext_your_api_key' \
  --header 'Content-Type: application/json' \
  --header 'Accept: application/json' \
  --data-binary @- <<'JSON'
{
  "input": {
    "keywords": "Software Developer",
    "location": "New York",
    "daysOld": 30,
    "easyApply": true,
    "remoteWorkType": true,
    "minRating": 3.8,
    "radius": "10",
    "employerSizes": "5",
    "sortBy": "relevant_desc",
    "limit": 100,
    "urlParam": [
      {
        "key": "industryNId",
        "value": "10013"
      }
    ],
    "excludeJobIds": [
      "1010068133467",
      "1010057908309"
    ]
  }
}
JSON

Configure your task API quickstart

Your next dataset starts here.

Choose your sources, review the price and run Glassdoor Jobs Scraper.

Open scraper