PubMed Articles Scraper 📚🎓

PubMed Articles Scraper 📚✨

This PubMed Articles Scraper is designed to help you easily retrieve relevant academic articles based on your search query 🔍. You can customize the results with filters like the maximum number of items to extract 🔢 and sorting options such as "Best match" 🏆.

Whether you're researching medical topics, reviewing scientific papers, or gathering references, this tool gives you quick access to the most relevant articles on PubMed 🌍.

Description 💯🎓

The PubMed Articles Scraper is your go-to tool for discovering academic research on PubMed. Simply enter a topic, keyword, or disease, and get tailored results with adjustable filters 🛠️. You can specify the maximum number of articles to extract (e.g., 30 articles) and the sorting preference (e.g., Best match) 🔍.

Retrieve detailed information about each article, including the title 📝, authors ✍️, journal details 📖, DOI 🔗, publication date 🗓️, and a direct link to the article 📑. This tool provides an efficient and streamlined way to gather relevant articles from PubMed.

How many results can you extract using this PubMed Articles Scraper? 🔍

There is no limit to the number of articles you can extract 📊, as long as they match your search query and filter criteria.

You can specify how many results you wish to retrieve, for example, up to 100 articles 🔢.

Key Features ✨

• Unlimited Results 🔢: Extract as many articles as needed, depending on your query and filters.

• Customizable Sorting Options 🔍: Choose how to sort your results, such as by “Best match” or by relevance.

• Detailed Article Info 📝: Extract key details such as article title, authors, publication date, journal info, DOI, and a direct link to the article.

• Search Flexibility 🔍: Specify any keyword, disease, or topic to find related academic articles.

💸 Pricing

This scraper operates on a monthly subscription basis, priced at $18.99/month.

Using this PubMed Articles Scraper is simple and intuitive! Just follow these easy steps:

1Enter your search query — for example, a keyword like "heart disease" 🔑.
2Customize your filters: Choose the maximum number of articles to extract (e.g., 30 articles) and the sorting preference (e.g., Best match) 🔍.
3Click the "Start" button to begin the scraping process 🚀.
4Once completed, download the extracted data in your preferred format:
5    JSON 📄
6    CSV 📊
7    XML 📑
8    Excel 📈
9    HTML 🌐

Applications 🌟

1Exploring online learning opportunities and enhancing skills 📚
2Building learning paths for researchers, students, and professionals 🧑‍🏫
3Analyzing course trends and learner preferences 📊
4Evaluating course ratings, reviews, and duration 🏆

Input Example for PubMed Articles Scraper 👌

The scraper accepts various parameters to customize the scraping process. Here’s how to structure your input JSON:

1{
2    "keyword": "Heart disease",
3    "maxitems": 30,
4    "sort_by": "Best match"
5}

Output Example from PubMed Articles Scraper 👌

Once the extraction is finished, the data will be stored in a dataset. You can download this data in various formats (JSON, CSV, XML, RSS, HTML Table).

Here is an example of the JSON output for an article:

1{
2  "title": "Heart Disease in Children.",
3  "authors": "Garcia RU, Peddy SB.",
4  "journal_date_doi": "Prim Care. 2018 Mar;45(1):143-154. doi: 10.1016/j.pop.2017.10.005.",
5  "date": "2018",
6  "doi": "10.1016/j.pop.2017.10.005.",
7  "volume_issue": "45(1)",
8  "pages": "143-154",
9  "abstract": "More children than ever born with congenital heart disease (CHD) are growing into adulthood. Primary care providers play a key role in diagnosis, management, and referral of children with CHD because many common cardiac complaints (eg, feeding intolerance, cyanosis, \u2026",
10  "link": "https://pubmed.ncbi.nlm.nih.gov/29406940/"
11}

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Can I use this PubMed Articles API in Python? 🎓

Yes, you can use the Apify API with Python.

To access the PubMed Articles Scraper via Python, use the apify-client PyPI package. You can find more details about the client in our Python Client documentation.

📫 Support

😊 Leave us a ⭐⭐⭐⭐⭐ if you are satisfied with the product! 🌍 For any questions, specific needs or issues, please reach out through Apify's platform or via email - Storm_Scraper 🌪️🌩️