Google Scholar Scraper
No credit card required
Google Scholar Scraper
No credit card required
Scrape publication details from scholar.google.com. Add your query, time range, and optionally document type (PDF or HTML only). Extract information about articles such as titles, authors, links, related articles, and more.
You can access the Google Scholar 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 "keyword": "JavaScript",
10 "proxyOptions": { "useApifyProxy": True },
11}
12
13# Run the Actor and wait for it to finish
14run = client.actor("marco.gullo/google-scholar-scraper").call(run_input=run_input)
15
16# Fetch and print Actor results from the run's dataset (if there are any)
17print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
18for item in client.dataset(run["defaultDatasetId"]).iterate_items():
19 print(item)
20
21# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start🎓 Google Scholar Scraper API in Python
The Apify API client for Python is the official library that allows you to use Google Scholar Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Marco Gullo- 116 monthly users
- 14 stars
- 100.0% runs succeeded
- 2.1 days response time
- Created in Feb 2024
- Modified 2 months ago
