{"id":9520,"date":"2024-01-09T18:03:00","date_gmt":"2024-01-09T18:03:00","guid":{"rendered":"https:\/\/codehim.com\/?p=9520"},"modified":"2024-01-22T16:05:07","modified_gmt":"2024-01-22T11:05:07","slug":"javascript-search-in-array-of-objects","status":"publish","type":"post","link":"https:\/\/codehim.com\/text-input\/javascript-search-in-array-of-objects\/","title":{"rendered":"JavaScript Search in Array Of Objects"},"content":{"rendered":"

This JavaScript code performs live searches in an array of objects retrieved from a JSON file. The code enables users to input text in a search field, dynamically displaying city or state matches that correspond to the input. It uses regular expressions<\/a> to filter the matching text in the list and highlights the user’s search<\/a> input within the results.<\/p>\n

The purpose is to assist users in finding words from a dataset of longer text, providing a smooth search experience. The code simplifies the integration of live search features.<\/p>\n

How to Create Search In Array Of Objects in JavaScript<\/h2>\n

1. Start by creating an HTML structure. Define an input field for users to enter their search queries and a container for displaying the search results. You can use the following HTML template:<\/p>\n

<form id=\"search-form\">\r\n       <input id=\"search\" type=\"text\" placeholder=\"Search for cities or states\" \/>\r\n   <\/form>\r\n   <h6><\/h6>\r\n   <ul id=\"search-results\">\r\n       \r\n   <\/ul>\r\n<\/pre>\n
2. Use CSS to style the search input<\/a>, results container, and the overall layout. The following CSS code contains styling instructions to create a clean and user-friendly interface.<\/p>\n
* {\r\n    box-sizing: border-box;\r\n    margin: 0;\r\n    padding: 0;\r\n    color: #636360;\r\n    font-size: 16px;\r\n    font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;\r\n}\r\n\r\nbody {\r\n    background-color: #BDBAA4;\r\n}\r\n#search-form {\r\n    width: 95%;\r\n    margin: 2em auto;\r\n    transition: .5s;\r\n}\r\ninput {\r\n    width: 100%;\r\n    background-color: #E3E5D5;\r\n    color: #636360;\r\n    border: none;\r\n    font-size: 16px;\r\n    padding: 1em .5em;\r\n    outline: none;\r\n    border-radius: .3em;\r\n    -webkit-box-shadow: 0px 2px 2px 0px rgba(99,99,96,0.66);\r\n    -moz-box-shadow: 0px 2px 2px 0px rgba(99,99,96,0.66);\r\n    box-shadow: 0px 2px 2px 0px rgba(99,99,96,0.66);\r\n    transition: .6s;\r\n}\r\ninput:focus {\r\n    background-color: #EFEFE8;\r\n}\r\ninput::-webkit-input-placeholder {\r\n    color: #BDBAA4;\r\n}\r\ninput::-moz-placeholder {\r\n    color: #BDBAA4;\r\n}\r\ninput:-moz-placeholder {\r\n    color: #BDBAA4;\r\n}\r\ninput:-ms-input-placeholder {\r\n    color: #BDBAA4;\r\n}\r\n#search-results {\r\n    width: 95%;\r\n    margin: 2em auto;\r\n    border-top: 1px solid #E3E5D5;\r\n    transition: .5s;\r\n}\r\nh6 {\r\n    text-align: center;\r\n}\r\n.input {\r\n    font-style: oblique;\r\n    font-weight: 400;\r\n}\r\nli {\r\n    padding: 1em .3em;\r\n    list-style: none;\r\n    border-bottom: 1px solid #E3E5D5;\r\n    text-transform: capitalize;\r\n}\r\n.city {\r\n    font-weight: 700;\r\n}\r\n.population {\r\n    float: right;\r\n    font-size: .7em;\r\n    line-height: 1.8em;\r\n    text-transform: lowercase;\r\n}\r\n.highlight {\r\n    background-color: #E3E5D5;\r\n}\r\n@media screen and (min-width: 480px) {\r\n    #search-form {\r\n        width: 80%;\r\n    }\r\n    #search-results {\r\n        width: 80%;\r\n    }\r\n}\r\n@media screen and (min-width: 600px) {\r\n    * {\r\n        font-size: 20px;\r\n    }\r\n    input {\r\n        font-size: 20px;\r\n    }\r\n}\r\n@media screen and (min-width: 800px) {\r\n    #search-form {\r\n        width: 60%;\r\n    }\r\n    #search-results {\r\n        width: 60%;\r\n    }\r\n}\r\n@media screen and (min-width: 1024px) {\r\n    #search-form {\r\n        width: 500px;\r\n    }\r\n    #search-results {\r\n        width: 500px;\r\n    }\r\n}<\/pre>\n
3. In the JavaScript section, we start by fetching the data. The dataset of cities and states is retrieved from a remote source. You can specify your data source URL in the endpoint<\/code> variable.<\/p>\n
const endpoint = 'https:\/\/gist.githubusercontent.com\/Miserlou\/c5cd8364bf9b2420bb29\/raw\/2bf258763cdddd704f8ffd3ea9a3e81d25e2c6f6\/cities.json'; \/\/Array of objects\r\nconst cities = [];\r\nfetch(endpoint) \/\/zaciagamy dane z linka\r\n    .then(blob => blob.json()) \/\/m\u00f3wimy, \u017ce jest to plik json\r\n    .then(data => cities.push(...data)) \/\/wpychamy do tablicy cities jako osobne elementy dlatego s\u0105 ...\r\n    .then(all => displayMatches());\r\nfunction findMatches(input) {\r\n    return cities.filter(place => {\r\n        const regex = new RegExp(input, 'gi') \/\/tworzymy wyra\u017cenie regularne kt\u00f3rym jest nasz input, czyli to co wpisze szukaj\u0105cy  drugi to:  g - global czyli globalny, i - insensitive (czyli nie zwraca uwagi na wielko\u015b\u0107 liter)\r\n        return place.city.match(regex) || place.state.match(regex); \/\/zwracamy tablic\u0119 pasuj\u0105ych do naszego wyra\u017cenia miast lub stan\u00f3w\r\n    });\r\n}\r\nfunction numberWithCommas(a) {\r\n    return a.toString().replace(\/\\B(?=(\\d{3})+(?!\\d))\/g, ',');\r\n  }\r\nfunction displayMatches() {\r\n    const input = searchInput.value;\r\n    const matchArray = findMatches(input);\r\n    const htmlMatchArray = matchArray.map(place => {\r\n        const regex = new RegExp(input, 'gi');\r\n        const cityName = place.city.replace(regex, `<span class=\"highlight\">${input}<\/span>`);\r\n        const stateName = place.state.replace(regex, `<span class=\"highlight\">${input}<\/span>`);\r\n        return `<li>\r\n                    <p class=\"city-state\"><span class=\"city\">${cityName},<\/span> ${stateName} <span class=\"population\">population: ${numberWithCommas(place.population)} <\/span> <\/p>\r\n                <\/li>`;\r\n    }).join('');\r\n    const headerText = input ? `${matchArray.length} matches for <span class=\"input\">${input}<span>` : `List of 1000 cities in the USA`;\r\n    searchResults.innerHTML = htmlMatchArray;\r\n    header.innerHTML = headerText;\r\n}\r\n\r\nconst searchInput = document.querySelector('#search');\r\nconst searchResults = document.querySelector('#search-results');\r\nconst header = document.querySelector('h6');\r\n\r\nsearchInput.addEventListener('change', displayMatches);\r\nsearchInput.addEventListener('keyup', displayMatches);<\/pre>\n
That’s all! hopefully, you have successfully created a feature to search in array of objects using JavaScript. This user-friendly feature improves user engagement and navigation, making it a valuable addition to your project. If you have any questions or suggestions, feel free to comment below.<\/p>\n","protected":false},"excerpt":{"rendered":"
This JavaScript code performs live searches in an array of objects retrieved from a JSON file. The code enables users…<\/p>\n","protected":false},"author":1,"featured_media":9535,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[97],"tags":[150],"class_list":["post-9520","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-text-input","tag-search-box"],"acf":[],"yoast_head":"\nJavaScript Search in Array Of Objects — CodeHim<\/title>\n<meta name=\"description\" content=\"Here is a free code snippet to create a JavaScript Search in Array Of Objects. 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