Google Scholar Scraper: Fast & Affordable (Rental) 📚⚡
30 minutes trial then $18.99/month - No credit card required now
Google Scholar Scraper: Fast & Affordable (Rental) 📚⚡
30 minutes trial then $18.99/month - No credit card required now
Unlock the potential of the Google Scholar scraper tool! 📚✨ Easily collect academic papers based on your chosen keyword or research topic 🔍. Get essential details like the title 📝, author(s) 🖋️, publication date ⏰, journal/source 🌐, and direct links to full texts 🔗—ideal for researchers ! 🚀
You can access the Google Scholar Scraper: Fast & Affordable (Rental) 📚⚡ 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 "keyword": "Technology",
10 "maxitems": 30,
11 "language": "English",
12 "country": "Any 🌍",
13}
14
15# Run the Actor and wait for it to finish
16run = client.actor("scrapestorm/google-scholar-scraper-fast-affordable-rental").call(run_input=run_input)
17
18# Fetch and print Actor results from the run's dataset (if there are any)
19print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
20for item in client.dataset(run["defaultDatasetId"]).iterate_items():
21 print(item)
22
23# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startGoogle Scholar Scraper: Fast & Affordable (Rental) 📚⚡ API in Python
The Apify API client for Pythonis the official library that allows you to use Google Scholar Scraper: Fast & Affordable (Rental) 📚⚡ API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Storm_ScraperActor Metrics
1 monthly user
-
1 star
>99% runs succeeded
Created in Jan 2025
Modified 3 days ago
