Google Scholar Scraper
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marco.gullo/google-scholar-scraper
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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.
The code examples below show how to run the Actor and get its results. To run the code, you need to have an Apify account. Replace <YOUR_API_TOKEN> in the code with your API token, which you can find under Settings > Integrations in Apify Console. Learn more
Node.js
Python
curl
1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4client = ApifyClient("<YOUR_API_TOKEN>")
5
6# Prepare the Actor input
7run_input = {
8 "keyword": "JavaScript",
9 "proxyOptions": {
10 "useApifyProxy": True,
11 "apifyProxyGroups": ["RESIDENTIAL5"],
12 },
13}
14
15# Run the Actor and wait for it to finish
16run = client.actor("marco.gullo/google-scholar-scraper").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-startDeveloper
Marco GulloMaintained by Community
Actor metrics
- 26 monthly users
- 100.0% runs succeeded
- 0.4 days response time
- Created in Feb 2024
- Modified 13 days ago
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