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Indeed Reviews Scraper

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Indeed Reviews Scraper

Indeed Reviews Scraper

memo23/apify-indeed-reviews
Try for free

2 hours trial then $19.00/month - No credit card required now

Scrape indeed reviews and get important details such as review title, description or body of review, rating, date, location, author's job title and is author a current or former employee, review URL, pros and cons of a review, comment(s) of review

You can access the Indeed Reviews Scraper programmatically from your own Python 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.

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://fr.indeed.com/cmp/Aza%C3%A9-1/reviews" }],
10    "proxy": {
11        "useApifyProxy": True,
12        "apifyProxyGroups": ["RESIDENTIAL"],
13        "apifyProxyCountry": "FR",
14    },
15}
16
17# Run the Actor and wait for it to finish
18run = client.actor("memo23/apify-indeed-reviews").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

Indeed Reviews Scraper API in Python

The Apify API client for Python is the official library that allows you to use Indeed Reviews Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

pip install apify-client

Other API clients include:

Developer
Maintained by Community
Actor metrics
  • 8 monthly users
  • 3 stars
  • 97.1% runs succeeded
  • 4.6 hours response time
  • Created in Apr 2024
  • Modified 18 days ago