Indeed | Reviews | Interviews | Location | Salary | Job | PPE

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Indeed | Reviews | Interviews | Location | Salary | Job | PPE

Try for free

Unlock 360° workforce intelligence - scrape reviews, salaries, jobs, interviews, company profiles, and cultural metrics from Indeed in one click. Transform raw data into recruitment strategies, competitive analysis, and market trends with enterprise-grade HR analytics.

Pricing

from $1.50 / 1,000 results

Rating

5.0

(2)

Developer

Muhamed Didovic

Maintained by Community

Actor stats

Bookmarked

Total users

Monthly active users

0.18 hours

Issues response

a day ago

Last modified

Categories

Jobs

Automation

You can access the Indeed | Reviews | Interviews | Location | Salary | Job | PPE 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": [
10        { "url": "https://www.indeed.com/cmp/Microsoft/reviews" },
11        { "url": "https://www.indeed.com/cmp/Microsoft/jobs" },
12        { "url": "https://www.indeed.com/cmp/Microsoft/interviews" },
13        { "url": "https://www.indeed.com/cmp/Microsoft/salaries" },
14        { "url": "https://www.indeed.com/cmp/Microsoft/faq" },
15    ],
16    "proxy": {
17        "useApifyProxy": True,
18        "apifyProxyGroups": ["RESIDENTIAL"],
19        "apifyProxyCountry": "FR",
20    },
21}
22
23# Run the Actor and wait for it to finish
24run = client.actor("memo23/apify-indeed-reviews-ppr").call(run_input=run_input)
25
26# Fetch and print Actor results from the run's dataset (if there are any)
27print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
28for item in client.dataset(run["defaultDatasetId"]).iterate_items():
29    print(item)
30
31# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Indeed | Reviews | Interviews | Location | Salary | Job | PPE API in Python

Install the apify-client

$pip install apify-client

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