Customizing Multiple Search Engines for Different Online Databases: A Free Solution
In the globalized and digitized world, many of us utilize various online databases (libraries) on a regular basis. These libraries may include online repositories of books, research articles, images, multimedia, and other digital assets. Having multiple search boxes for different online databases can be inconvenient and time-consuming. This article introduces a free and customizable solution for creating a single search box that can search across several search engines for different online databases.
The Importance of Online Databases
Online databases are crucial for researchers, students, and anyone who seeks information on a particular topic. They provide access to a wealth of information across various formats, including research papers, e-books, images, and videos. However, with multiple libraries or databases, conducting a comprehensive search can be challenging.
The Problem with Multiple Search Boxes
Having separate search boxes for each online database leads to inefficiencies in information retrieval. For instance, it requires users to remember specific search engines for different databases, limits the ability to perform a comprehensive search, and increases the time spent searching for relevant information.
A Customizable Solution: Unified Search Box
A unified search box can be customized to search across multiple search engines for various online databases. This solution eliminates the need for a user to remember search engines and enables them to perform comprehensive, all-inclusive searches. In the following sections of this article, we will learn how to customize our unified search box.
Step 1: Define the Search Engines
To create a unified search box, we first need to define the search engines for our various online databases. For each search engine, specify the URL, query parameter, and any other necessary information. Here's an example with two search engines:
Search Engine 1:
URL:https://www.books.com/search
Query Parameter:q
Search Engine 2:
URL:https://www.articles.org/search
Query Parameter:query
Step 2: Assemble the Search Query
Once you have identified the search engines and their parameters, it's time to assemble the search query. You can create a simple JavaScript function that takes a search term and constructs the appropriate URL for each search engine listed. Here's an example:
function assembleQuery(searchTerm) {
const baseURLs = [
'{ "url": "https://www.books.com/search", "param": "q" }',
'{ "url": "https://www.articles.org/search", "param": "query" }',
];
const searchQueries = baseURLs.map(engine > {
return `${engine.url}?${engine.param}=${searchTerm}`;
});
return searchQueries;
}
Step 3: Update the Search Box
Now, we can update the search box on our webpage to call the assembleQuery function when the user submits the search. Here's an example in HTML:
<form onsubmit="return search(this)">
<input type="text" name="search">
<input type="submit" value="Search">
</form>
Alongside the HTML form, insert this JavaScript code:
function search(form) {
const terms = assembleQuery(form.search.value);
// Open search queries in new tabs
terms.forEach(searchUrl => {
window.open(searchUrl, '_blank');
});
// Prevent default form submission
return false;
}
In this article, we demonstrated how to create a unified search box for multiple search engines of different online databases. This customizable solution:
- Enables comprehensive searches
- Eliminates the need to remember search engines
- Saves time by reducing the need to search in multiple places
References
- Type: Article: "Enhancing Access to Online Research Resources through Unified Search Box Design", https://www.example-article.com
- Type: Online Resource: "JavaScript: The Definitive Guide", https://www.example-book.com