Use Glassdoor Job Listings Salary & Rating Scraper with Python

Pull Glassdoor job listings by keyword and location or from a single company's jobs page, with salary estimates, employer ratings, Easy Apply status, and extracted skills per role.

1. Choose the data you need

Review the published README for supported collection modes, examples, and limits. The recipe below uses the current published input definition.

2. Prepare a source-based input

This JSON contains published prefills and required-field defaults. Review every value for your task before running it; it is not a promise of successful collection.

{
  "companySize": "any",
  "country": "united-states",
  "easyApplyOnly": false,
  "employmentType": "all",
  "includeDetails": false,
  "industry": "any",
  "jobFunction": "any",
  "jobIds": [],
  "location": "New York, NY",
  "maxItems": 3,
  "maximizeCoverage": false,
  "minRating": "0.0",
  "mode": "search",
  "postedWithin": "",
  "radius": "",
  "remoteOnly": false,
  "searchQueries": [
    "software engineer"
  ],
  "seniority": "all",
  "sortBy": "relevance",
  "startUrls": []
}

Download input.example.json and save your reviewed copy as input.json.

Field	Type	Required	Description
`mode`	string	required	Search by keyword and location, or scrape specific Glassdoor URLs and job IDs.
`searchQueries`	array	optional	Job titles, skills, or company names to search for (mode=search). One search is run per query.
`location`	string	optional	City, state, or country, e.g. 'New York, NY', 'London', 'Berlin'. Leave empty for the selected country's whole market.
`country`	string	optional	Which Glassdoor country site to search.
`startUrls`	array	optional	Glassdoor search, job, or company jobs page URLs. Job URLs return one detailed record each.
`jobIds`	array	optional	Glassdoor job listing IDs to refresh directly, e.g. '1010224897915'. The country site decides the domain.
`postedWithin`	string	optional	Only include jobs posted within this window.
`employmentType`	string	optional	Filter by the type of employment.
`seniority`	string	optional	Filter by the role's seniority level.
`minRating`	string	optional	Only include employers rated at least this well on Glassdoor.
`minSalary`	integer	optional	Only include jobs paying at least this much per year, in the country's currency. Leave empty for no minimum.
`maxSalary`	integer	optional	Only include jobs paying at most this much per year, in the country's currency. Leave empty for no maximum.
`easyApplyOnly`	boolean	optional	Only return jobs you can apply to directly on Glassdoor.
`remoteOnly`	boolean	optional	Only return remote jobs. Remote-only searches run market-wide because Glassdoor rejects city-scoped remote filters.
`companySize`	string	optional	Filter by the employer's employee-count band.
`industry`	string	optional	Filter by the employer's industry.
`jobFunction`	string	optional	Narrow the search to one kind of role.
`radius`	string	optional	How far around the location to search. Only used when a location is set.
`sortBy`	string	optional	Order of the results. Sponsored listings may stay pinned at the top.
`maxItems`	integer	optional	Maximum number of job listings to return across all queries and slices.
`includeDetails`	boolean	optional	Fetch each job page for the full description, exact dates, benefits, requirements, coordinates, apply URL, and company profile. Slower and uses more requests.
`maximizeCoverage`	boolean	optional	Run additional searches split by date, job type, rating, and salary to get past a single search's depth limit.

3. Start an Actor run

Set APIFY_TOKEN in your environment. Python 3.10 or newer is sufficient; this recipe uses no third-party packages.

Execution may incur charges. Review current pricing on Apify. The request asks for a 120-second timeout and a charge limit; these settings are subject to Apify’s pricing and do not guarantee an all-inclusive spending cap.

import json
import os
import urllib.request

# Save the schema-derived example as input.json; review and edit it first.
with open("input.json", encoding="utf-8") as stream:
    actor_input = json.load(stream)

token = os.environ["APIFY_TOKEN"]
request = urllib.request.Request(
    "https://api.apify.com/v2/acts/DSfF2NaAOpJo6ZUsx/runs?timeout=120&maxTotalChargeUsd=0.50",
    data=json.dumps(actor_input).encode("utf-8"),
    headers={"Authorization": "Bearer " + token, "Content-Type": "application/json"},
    method="POST",
)
# This starts a potentially billable run. Do not automatically retry this POST.
with urllib.request.urlopen(request, timeout=40) as response:
    run = json.load(response)["data"]
print("Run ID:", run["id"])
print("Status:", run["status"])
# Inspect and download results in Apify Console once the run succeeds.

4. Inspect the actual results

Open the run in Apify Console and wait for a successful completion. Use the published output schema to locate results and the dataset schema to understand declared views. Missing or optional record fields must not be treated as guaranteed values.

Glassdoor job listings with salary percentiles, employer ratings and profiles, full descriptions, dates, benefits, requirements, coordinates, and apply links.

Questions before you run

Which inputs are required?

The published required fields are mode

What does this guide verify?

The fields, prefills, and schema links are rendered from the published build. This is a usage recipe, not a paid live extraction test. Source availability and collection results can vary.

What if the run request times out?

Check Apify Console before retrying. The first request may already have created a run. Do not automatically repeat a run-creation POST.

Open on Apify Full Actor reference

Generated from source build BdZTD0QnUCK2T2UIM and its README and schemas. Source changes regenerate this guide; no third-party editorial claims are inferred.