Pricing

$32.00/month + usage

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GLASSDOOR: Reviews &Jobs &Interviews&Locations &Salary&Overview

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Glassdoor scraper that bypasses the 200-result review cap for full coverage. Reviews with sub-ratings, pros/cons & employer replies, plus job postings, interview questions, salary bands, benefits, company overviews & locations. Pay-per-result (PPE), pure HTTP — no browser.

Pricing

$32.00/month + usage

Rating

4.4

(19)

Developer

Muhamed Didovic

Actor stats

Bookmarked

912

Total users

Monthly active users

5.2 hours

Issues response

13 hours ago

Last modified

Categories

Lead generation

Jobs

Automation

You can access the GLASSDOOR: Reviews &Jobs &Interviews&Locations &Salary&Overview programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "startUrls": [{ "url": "https://www.glassdoor.fr/Avis/Aza%C3%A9-Avis-E1360610.htm" }],
10    "includes": [],
11    "proxy": {
12        "useApifyProxy": True,
13        "apifyProxyGroups": ["RESIDENTIAL"],
14    },
15}
16
17# Run the Actor and wait for it to finish
18run = client.actor("memo23/apify-glassdoor-reviews-scraper").call(run_input=run_input)
19
20# Fetch and print Actor results from the run's dataset (if there are any)
21print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
22for item in client.dataset(run["defaultDatasetId"]).iterate_items():
23    print(item)
24
25# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

GLASSDOOR: Reviews &Jobs &Interviews&Locations &Salary&Overview API in Python

The Apify API client for Python is the official library that allows you to use GLASSDOOR: Reviews &Jobs &Interviews&Locations &Salary&Overview API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

GLASSDOOR: Reviews &Jobs &Interviews&Locations &Salary&Overview API in JavaScript

GLASSDOOR: Reviews &Jobs &Interviews&Locations &Salary&Overview API through CLI

GLASSDOOR: Reviews &Jobs &Interviews&Locations &Salary&Overview OpenAPI definition

GLASSDOOR: Reviews &Jobs &Interviews&Locations &Salary&Overview API

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