Coursera Course Review Scraper
Pricing
Pay per usage
Extract Coursera course reviews, ratings, learner feedback, course details, reviewer insights, and review data at scale. Perfect for course research, sentiment analysis, e-learning analytics, market research, and education datasets. Fast, reliable, and structured.
You can access the Coursera Course Review Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, youβll need an Apify account and your API token, found in API & Integrations in Apify Console.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {9 "startUrls": ["https://www.coursera.org/learn/python-for-applied-data-science-ai"],10 "sort_by": "recent",11 "rating_filter": "all",12 "product_completed": False,13 "results_wanted": 20,14 "max_pages": 10,15}16
17# Run the Actor and wait for it to finish18run = client.actor("shahidirfan/coursera-course-review-scraper").call(run_input=run_input)19
20# Fetch and print Actor results from the run's dataset (if there are any)21print(f"πΎ Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")22for item in client.dataset(run.default_dataset_id).iterate_items():23 print(item)24
25# π Want to learn more π? Go to β https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use Coursera Course Review Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: