Nature Search Results Scraper 🔬

🔎 What does Nature Search Results Scraper do?

This actor scrapes research articles from Nature's search results pages. It extracts comprehensive information about scientific publications including titles, authors, metadata, and more from Nature.com search results.

✨ Key Features

• 📑 Scrapes detailed article information from Nature search results
• 👥 Extracts author lists and their details
• 📊 Captures article metadata (type, open access status, publish date, etc.)
• 🖼️ Retrieves article preview images
• 📈 Supports pagination and handles multiple search URLs
• ⚡ Fast and efficient with built-in rate limiting
• 🛡️ Uses proxy rotation for reliable scraping

💎 Output Data Structure

The actor outputs detailed article information in JSON format, including:

• Article title and URL
• Full author list
• Article description/abstract
• Publication metadata (journal name, volume info, publish date)
• Open access status
• Preview image URL

🎯 Use Cases

• Research trend analysis
• Academic paper monitoring
• Scientific literature database building
• Publication tracking
• Research impact assessment

💡 Tips

• Use specific search queries for better results
• Adjust maxItems to control the number of results
• Consider using proxy for large-scale scraping
• Search URLs should be from Nature.com's search interface

📚 Input Parameters

• searchUrls: Array of Nature.com search URLs to scrape
• maxItems: Maximum number of items to scrape
• proxyConfiguration: Optional proxy settings

🔍 Sample URL

Input Example

A full explanation of an input example in JSON.

1{
2    "searchUrls": [
3        "https://www.nature.com/search?q=ai&article_type=research&subject=engineering&order=relevance"
4    ],
5    "maxItems": 60
6}

Output sample

The results will be wrapped into a dataset which you can always find in the Storage tab. Here's an excerpt from the data you'd get if you apply the input parameters above:

And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML.

1[
2    {
3        "searchUrl": "https://www.nature.com/search?q=ai&article_type=research&subject=engineering&order=relevance",
4        "title": "Advanced AI-driven techniques for fault and transient analysis in high-voltage power systems",
5        "url": "https://www.nature.com/articles/s41598-025-90055-7",
6        "description": "",
7        "authors": [
8            "Abdul Aziz",
9            "Muhammad Zain Yousaf",
10            "Ievgen Zaitsev"
11        ],
12        "metadata": {
13            "type": "Research",
14            "isOpenAccess": true,
15            "publishDate": "2025-02-15",
16            "journal": "Scientific Reports",
17            "volumeInfo": "Volume: 15, P: 1-18"
18        },
19        "imageUrl": "https://media.springernature.com/w290h158/springer-static/image/art%3A10.1038%2Fs41598-025-90055-7/MediaObjects/41598_2025_90055_Fig1_HTML.png"
20    },
21    ...
22]

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