Glassdoor Job Listings Salary & Rating Scraper

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.

Open in Apify Store$0.99 / 1K on Free

Short answer

Glassdoor Job Listings Salary & Rating Scraper is an Apify Store Actor for Glassdoor data that returns 15 published output fields, including jobTitle, companyName, companyRating, location. It lists $0.99 per 1,000 results on the Free plan (pay per event), $0.49 on the Business plan. It takes 22 input settings; one is required (mode). It covers 5 of the 7 core Glassdoor fields this site tracks. Last updated Oct 20, 2026.

From the public Store listing and published build schema, synced 2026-11-12.
Glassdoor JobsAutomationLead generation

What it returns

15 fields from the published dataset schema. Export as JSON, CSV or Excel, or read the dataset through the Apify API.

  • jobTitle
  • companyName
  • companyRating
  • location
  • salary_min
  • salary_median
  • salary_max
  • salaryCurrency
  • salaryPeriod
  • datePosted
  • easyApply
  • jobUrl
  • companySize
  • industry
  • salarySource

Not in the schema among the core Glassdoor fields: pros, cons. The field matrix shows which other tools return them.

How it differs from the other Glassdoor Actors

Among the 2 catalogue Actors for Glassdoor with a published schema, only this one returns salary_min, salary_median, salary_max, salaryCurrency, salaryPeriod, datePosted, easyApply, jobUrl.

Pick another Actor if you need

Fields other Glassdoor catalogue Actors return that Glassdoor Job Listings Salary & Rating Scraper does not
ActorFields it addsPrice / 1K
Glassdoor Review Export - Ratings, Pros, Cons & Replies ratingOverall, pros, cons, reviewDate $0.99

Input

Input settings for Glassdoor Job Listings Salary & Rating Scraper
SettingTypeRequiredDefaultWhat it does
mode string Yes search Search by keyword and location, or scrape specific Glassdoor URLs and job IDs.
searchQueries array No [] Job titles, skills, or company names to search for (mode=search). One search is run per query.
location string No – City, state, or country, e.g. 'New York, NY', 'London', 'Berlin'. Leave empty for the selected country's whole market.
country string No united-states Which Glassdoor country site to search.
startUrls array No [] Glassdoor search, job, or company jobs page URLs. Job URLs return one detailed record each.
jobIds array No [] Glassdoor job listing IDs to refresh directly, e.g. '1010224897915'. The country site decides the domain.
postedWithin string No – Only include jobs posted within this window.
employmentType string No all Filter by the type of employment.
seniority string No all Filter by the role's seniority level.
minRating string No 0.0 Only include employers rated at least this well on Glassdoor.
Show the other 12 settings
More input settings for Glassdoor Job Listings Salary & Rating Scraper
SettingTypeRequiredDefaultWhat it does
minSalary integer No – Only include jobs paying at least this much per year, in the country's currency. Leave empty for no minimum.
maxSalary integer No – Only include jobs paying at most this much per year, in the country's currency. Leave empty for no maximum.
easyApplyOnly boolean No false Only return jobs you can apply to directly on Glassdoor.
remoteOnly boolean No false Only return remote jobs. Remote-only searches run market-wide because Glassdoor rejects city-scoped remote filters.
companySize string No any Filter by the employer's employee-count band.
industry string No any Filter by the employer's industry.
jobFunction string No any Narrow the search to one kind of role.
radius string No – How far around the location to search. Only used when a location is set.
sortBy string No relevance Order of the results. Sponsored listings may stay pinned at the top.
maxItems integer No 100 Maximum number of job listings to return across all queries and slices.
includeDetails boolean No false 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 No false Run additional searches split by date, job type, rating, and salary to get past a single search's depth limit.

Example input

Built from the input form's published example values and defaults.

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

Run it from code or an AI agent

The same run through the Apify API, with the example input. You need an Apify API token; the run is billed to your account at the Store price.

Python

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run_input = {
    "mode": "search",
    "searchQueries": [
        "software engineer"
    ],
    "location": "New York, NY",
    "country": "united-states",
    "startUrls": [],
    "jobIds": [],
    "employmentType": "all",
    "seniority": "all",
    "minRating": "0.0",
    "easyApplyOnly": False,
    "remoteOnly": False,
    "companySize": "any",
    "industry": "any",
    "jobFunction": "any",
    "sortBy": "relevance",
    "maxItems": 3,
    "includeDetails": False,
    "maximizeCoverage": False
}

run = client.actor("vexaloom-labs/glassdoor-job-listings-salary-and-rating-scraper").call(run_input=run_input)
if run is None:
    raise RuntimeError("The Actor run was not found.")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

pip install apify-client

JavaScript

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "<YOUR_APIFY_TOKEN>" });
const input = {
    "mode": "search",
    "searchQueries": [
        "software engineer"
    ],
    "location": "New York, NY",
    "country": "united-states",
    "startUrls": [],
    "jobIds": [],
    "employmentType": "all",
    "seniority": "all",
    "minRating": "0.0",
    "easyApplyOnly": false,
    "remoteOnly": false,
    "companySize": "any",
    "industry": "any",
    "jobFunction": "any",
    "sortBy": "relevance",
    "maxItems": 3,
    "includeDetails": false,
    "maximizeCoverage": false
};

const run = await client.actor("vexaloom-labs/glassdoor-job-listings-salary-and-rating-scraper").call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

npm install apify-client

cURL

curl -X POST "https://api.apify.com/v2/actors/vexaloom-labs~glassdoor-job-listings-salary-and-rating-scraper/run-sync-get-dataset-items"   -H "Authorization: Bearer $APIFY_TOKEN"   -H "Content-Type: application/json"   -d '{"mode":"search","searchQueries":["software engineer"],"location":"New York, NY","country":"united-states","startUrls":[],"jobIds":[],"employmentType":"all","seniority":"all","minRating":"0.0","easyApplyOnly":false,"remoteOnly":false,"companySize":"any","industry":"any","jobFunction":"any","sortBy":"relevance","maxItems":3,"includeDetails":false,"maximizeCoverage":false}'

Waits for the run and returns the dataset items (runs over 300 seconds return HTTP 408; start an async run instead).

MCP (AI agents)

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=vexaloom-labs/glassdoor-job-listings-salary-and-rating-scraper",
      "headers": {
        "Authorization": "Bearer <YOUR_APIFY_TOKEN>"
      }
    }
  }
}

Adds this Actor as a tool in an MCP client that takes a remote server URL (Cursor, VS Code, Claude Code) through Apify's hosted MCP server. OAuth sign-in also works without the header. Clients that only start local servers can wrap the URL with npx mcp-remote.

What a run costs

The result rate falls on higher Apify plans. Each figure is the published per-result rate times the number of results.

Cost of Glassdoor Job Listings Salary & Rating Scraper results by Apify plan
Apify planPer 1,00010,000 results100,000 results
Free plan$0.99$9.90$99
Starter plan$0.82$8.20$82
Scale plan$0.66$6.60$66
Business plan$0.49$4.90$49
  • Every run also has a start event, charged per GB of memory (minimum one): $0.10 on Free, $0.03 on Business. At its default memory of 4 GB a run starts at $0.40 on Free. Fewer, larger runs keep this small.
  • The Free plan includes $5 of monthly usage (Apify pricing, checked 2026-11-11); at the Free rate that covers at most about 5,050 results, less start events and platform usage.
  • Worked example: 10,000 results in one run on the Free plan cost $10.30 ($9.90 for results + $0.40 start), plus Apify platform usage (compute), billed separately by Apify.
  • Pay per event. Platform usage (compute) is billed by Apify on top of the event prices. Compare other tools in the cost estimator.

Where it fits among Glassdoor routes

It ranks 1 of 2 catalogue Actors for Glassdoor on the published formula (fields, price, reliability, freshness). Its line is highlighted on the map.

Route diagram for Glassdoor dataGlassdoor Job Listings Salary & Rating Scraper: stops at 5 of the 10 fields shown; Glassdoor Review Export - Ratings, Pros, Cons & Replies: stops at 6 of the 10 fields shown; Other Store tools (4): stops at 8 of the 10 fields shown; No public API: none, field coverage not compared.Glassdoorprosconssalarycompanyratingjob titlescraped atdatePostedemployer.nametitle12+API

Stops are fields. A ring means the field is in that route's published output schema; no ring means the line passes without it. Bold labels are the core fields for this website, the rest are fields that differ between routes. A white capsule means every data line stops there. The red line is the official API; its field coverage is not compared. A crossed red line means there is no open official API.

Official route: No public API

No open API. Glassdoor does not publish a general public reviews or jobs API.

Not applicable.

Official documentation

Other Store tools for Glassdoor

Reference only, from their public listings.

Other Store tools for Glassdoor
ToolFieldsPrice / 1K
Glassdoor jobs scraper82$0.40
Job Scraper: LinkedIn Jobs, Indeed Scraper, Glassdoor Scraper41$6.00
Glassdoor Jobs Scraper13$0.05
Glassdoor Jobs Scraper–$0.40
Glassdoor Reviews Scraper–$0.05

What people use it for

  • Find job openings
  • Analyze salary estimates

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Welcome to the Jungle Job Listings & Salary Scraper

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Bayt.com MENA Job Listing & Salary Scraper

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GulfTalent Job Listings Across 16 Middle East Markets

Search GulfTalent by keyword, category, industry, job type or nationality preference, or browse one employer's careers page, and get salary,…

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Questions people ask

How much does Glassdoor Job Listings Salary & Rating Scraper cost?

The published result rate depends on your Apify plan: $0.99 per 1,000 on Free, $0.82 per 1,000 on Starter, $0.66 per 1,000 on Scale, $0.49 per 1,000 on Business. So 10,000 results cost about $9.90 on the Free plan and $4.90 on Business, plus a start fee of $0.10 per run per GB of memory on Free. Platform usage is billed separately.

What data does Glassdoor Job Listings Salary & Rating Scraper return?

Its published output schema lists 15 fields: jobTitle, companyName, companyRating, location, salary_min, salary_median, salary_max, salaryCurrency, salaryPeriod, datePosted, easyApply, jobUrl, and 3 more. A listed field is not guaranteed to be filled in every row.

What input does Glassdoor Job Listings Salary & Rating Scraper need?

Required: mode. Optional settings include searchQueries, location, country, startUrls, jobIds, postedWithin.

What are the alternatives to Glassdoor Job Listings Salary & Rating Scraper for Glassdoor?

2 catalogue Actors cover Glassdoor. Close alternatives: Glassdoor Review Export - Ratings, Pros, Cons & Replies. The Glassdoor page compares all of them field by field.

How do I run Glassdoor Job Listings Salary & Rating Scraper from Python or the API?

Use the Apify API client: in Python, ApifyClient(token).actor("vexaloom-labs/glassdoor-job-listings-salary-and-rating-scraper").call(run_input=...), then read the run's default dataset (run.default_dataset_id); in JavaScript the same call is client.actor("vexaloom-labs/glassdoor-job-listings-salary-and-rating-scraper").call(input). Without a client, POST the input JSON to https://api.apify.com/v2/actors/vexaloom-labs~glassdoor-job-listings-salary-and-rating-scraper/run-sync-get-dataset-items with your API token. Ready-to-paste code with the example input is on this page.

Sources

Actor updated 2026-10-20 Data synced 2026-11-12
Cite this page

Scraper Finder. "Glassdoor Job Listings Salary & Rating Scraper." https://scraperfinder.com/catalogue/glassdoor-job-listings-salary-and-rating-scraper/ (data checked 2026-11-12).

Run Glassdoor Job Listings Salary & Rating Scraper

$0.99 per 1,000 results. Paste the example input above, set your Glassdoor query, then export the dataset. Still choosing? Compare every Glassdoor route.

Open in Apify Store