# Glassdoor Jobs Scraper - Pay and Ratings (`usestring/glassdoor-jobs`) Actor

Scrape Glassdoor job listings by keyword and location. Each row carries the title, company, employer rating, pay as numbers with its period and currency next to the range Glassdoor displays, easy-apply and sponsored flags, a description snippet, days since posting and the apply URL.

- **URL**: https://apify.com/usestring/glassdoor-jobs.md
- **Developed by:** [String](https://apify.com/usestring) (community)
- **Categories:** Jobs, Business
- **Stats:** 2 total users, 1 monthly users, 57.1% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.25 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## Glassdoor Jobs Scraper — salary, company rating, location

The Glassdoor Jobs Scraper collects job listings from Glassdoor search results. Give it search
terms and a location, and it returns each listing with the employer's Glassdoor rating, the pay
range as **numbers** rather than a display string, the location, the apply URL and how many days
ago the job was posted.

To scrape Glassdoor jobs, put one or more job titles or keywords in `queries` and a `location` such
as `"United States"` or `"New York, NY"`. No Glassdoor account, login or cookies are used; this
Actor reads what a logged-out visitor sees. Around **22 jobs per search**.

### What it returns

| Field | Type | Notes |
| --- | --- | --- |
| `jobId` | string | Glassdoor's own listing ID — stable, use it to de-duplicate |
| `title` | string | |
| `company` | string | The employer named on the search row |
| `employerRating` | number | Glassdoor overall employer rating out of 5 |
| `salaryEstimate` | string | The pay range as Glassdoor displays it on the card, e.g. `"$136K - $184K"` |
| `salaryMin`, `salaryMax` | number | The same range as numbers — `136000` and `184000`, not a string to clean up |
| `salaryPeriod` | string | The period the pay is quoted over, e.g. `"ANNUAL"` |
| `salaryCurrency` | string | Currency of `salaryMin` and `salaryMax`, e.g. `"USD"` |
| `salarySource` | string | Glassdoor's own label for where the figure came from, e.g. `"EMPLOYER_PROVIDED"` |
| `location` | string | |
| `ageInDays` | number | Whole days since the listing was posted, as Glassdoor states it |
| `postedAt` | string | ISO 8601 timestamp derived from `ageInDays` — day precision, not hour |
| `easyApply` | boolean | Whether the listing takes Glassdoor's one-click apply |
| `sponsored` | boolean | Whether the listing is a paid placement |
| `descriptionSnippet` | string | The first description fragment Glassdoor shows on the card — a snippet, not the full description |
| `employerId` | number | Glassdoor's employer ID, stable across that employer's listings |
| `jobUrl` | string | Direct link to the Glassdoor posting |
| `query`, `searchLocation`, `sourceUrl`, `collectedAt` | string | Provenance for every row |

### Input

```json
{ "queries": ["software engineer", "product manager"], "location": "New York, NY" }
```

| Field | Description |
| --- | --- |
| `queries` | Job titles or keywords. Required, 1–50. Duplicates collapse to one fetch. |
| `location` | City, state or country. Default `"United States"`. One location per run. |
| `maxItems` | Cap on dataset items. Default 1000. Free plans stop at 250 requests and 250 results — see below. |
| `concurrency` | Searches run in parallel. Default 5. |

Every search in a run shares one `location`. The Glassdoor Jobs Scraper resolves that free-text
location through Glassdoor's own autocomplete before searching, which costs one extra request per
run and is what lets you write `"New York, NY"` instead of Glassdoor's internal location ID.

### Use cases

- Compensation benchmarking from Glassdoor's numeric pay ranges rather than scraped display strings
- Employer-brand analysis — pairing `employerRating` with what a company is hiring for
- Competitor hiring signals by role and city
- Recruiting lead lists filtered by employer rating
- Tracking Glassdoor postings over time by re-running on a schedule, joined on `jobId`

### Reliability

The Glassdoor Jobs Scraper reads the search page's own data payload rather than asking a model to
interpret the rendered HTML, so a field is either present and correct or `null`.

Pay is reported twice on purpose: `salaryEstimate` is the exact string Glassdoor renders, and
`salaryMin`/`salaryMax` are the underlying numbers, joined back to their listing by Glassdoor's own
listing ID rather than by card order. `salarySource` records whose figure it is, so an employer-stated
range and a Glassdoor estimate are distinguishable in the dataset instead of being flattened
together.

Glassdoor dates a listing only as a whole-day age, so `ageInDays` is carried as the source's own
value and `postedAt` is derived from it — the timestamp is accurate to the day, not the hour.

A Glassdoor search that cannot be read is recorded in the run's `SUMMARY` under `failures`, and a
run where every search failed exits with an error. A location that Glassdoor cannot resolve fails
the run outright, because searching on without it would silently widen every query to nationwide
results.

### Frequently asked questions

**Do I need a Glassdoor account, login or API key?** No. The Glassdoor Jobs Scraper uses no account,
login, cookies or API key — only public Glassdoor search pages are read.

**Does the Glassdoor Jobs Scraper return salary as a number?** Yes. `salaryMin` and `salaryMax` are
numbers with `salaryPeriod` and `salaryCurrency` alongside, and `salaryEstimate` keeps the formatted
string Glassdoor displays.

**Is the Glassdoor salary the employer's or Glassdoor's estimate?** Both occur, and `salarySource`
tells you which — a listing whose employer stated the range carries `"EMPLOYER_PROVIDED"`. The label
is passed through unchanged rather than being flattened away.

**How many Glassdoor jobs does one search return?** Around 22, which is what one Glassdoor results
page carries. Ten search terms therefore return roughly 220 jobs.

**Can I get the full Glassdoor job description?** No. `descriptionSnippet` is the fragment Glassdoor
shows on the search card. Follow `jobUrl` for the full description.

**Can I search several locations in one run?** No — one run searches one `location` across all of
its `queries`. Start one run per location.

**What happens on a free Apify plan?** The run stops at 250 requests and 250 results and reports
that it hit the limit. Any paid plan runs the full input.

### Limitations

The Glassdoor Jobs Scraper reads one results page per search, so it collects the first page rather
than paginating a whole market; run several narrower queries to widen coverage. Full job
descriptions, company reviews, interview reports and salary-report pages are out of scope, as is
searching more than one location per run.

### Free plan limit

Runs started from an Apify **free plan** stop at **250 requests and 250 results**, and the run
reports that it reached the limit. Any paid plan runs the full input and `maxItems` you set.

The limit exists because this Actor fetches through our own infrastructure, which Apify does not
cover for free-plan runs. It binds on requests as well as results so that a large input list cannot
spend those fetches for rows the run will not return.

# Actor input Schema

## `queries` (type: `array`):

Job titles or keywords.

## `location` (type: `string`):

City, state or country to search in.

## `maxItems` (type: `integer`):

Global cap on dataset items. Runs started from an Apify free plan stop at 250 requests and 250 results; any paid plan runs the full amount.

## `concurrency` (type: `integer`):

Targets fetched in parallel.

## Actor input object example

```json
{
  "queries": [
    "software engineer"
  ],
  "location": "United States",
  "maxItems": 1000,
  "concurrency": 5
}
```

# Actor output Schema

## `results` (type: `string`):

Collect Glassdoor job listings - title, company, salary, rating - by search.

## `summary` (type: `string`):

Item count, failure count and every target that failed, with its error.

# 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 = {
    "queries": [
        "software engineer"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("usestring/glassdoor-jobs").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 = { "queries": ["software engineer"] }

# Run the Actor and wait for it to finish
run = client.actor("usestring/glassdoor-jobs").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "queries": [
    "software engineer"
  ]
}' |
apify call usestring/glassdoor-jobs --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,usestring/glassdoor-jobs"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/7qu9KFQXCnwUuTpgx/builds/D0siCTyAgovBAKdb2/openapi.json