PubMed Articles Scraper 📚🎓
2 hours trial then $18.99/month - No credit card required now
PubMed Articles Scraper 📚🎓
2 hours trial then $18.99/month - No credit card required now
Easily retrieve relevant academic articles from PubMed with this powerful scraper 🔍. Customize results with filters like max items to extract 🔢 and sorting options like "e.g Best match" 🏆. Ideal for medical research, scientific papers, and gathering references fast! 🌍
Storm_ScraperActor Metrics
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Created in Mar 2025
Modified 10 hours ago
You can access the PubMed Articles 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, 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": "Heart disease",
10 "maxitems": 100,
11 "sort_by": "Best match",
12}
13
14# Run the Actor and wait for it to finish
15run = client.actor("scrapestorm/pubmed-articles-scraper").call(run_input=run_input)
16
17# Fetch and print Actor results from the run's dataset (if there are any)
18print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
19for item in client.dataset(run["defaultDatasetId"]).iterate_items():
20 print(item)
21
22# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startPubMed Articles Scraper 📚🎓 API in Python
The Apify API client for Python is the official library that allows you to use PubMed Articles Scraper 📚🎓 API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
