How to Add a Search Bar in a FlatList in React Native Apps

John Bender
Crowdbotics
Published in
10 min readApr 16, 2020

There are a few ways to create scrollable lists in React Native. Two of the common methods available in the React Native core are ScrollView and FlatList components. Each has its strength, and in this tutorial, we'll dive deep to create a search bar with FlatList component.

The final result you are going to achieve at the end of this tutorial is shown below.

Table of contents

  • Getting started
  • What is FlatList?
  • Basic usage of a FlatList component
  • Fetching data from Remote API in a FlatList
  • Adding a custom Separator to FlatList component
  • Adding a Search bar
  • Run the app
  • Add clear button to input text field
  • Conclusion

Getting started

For the demo we are going to create in this tutorial, I am going to use Expo. You are free to choose and use anything between an Expo CLI or a react-native-cli.

To start, let’s generate a React Native app using Expo CLI and then install the required dependency to have a charming UI for the app. Open up a terminal window and run the following commands in the order they are mentioned.

expo init searchbarFlatList

cd searchbarFlatList

yarn install @ui-kitten/components @eva-design/eva lodash.filter

expo install react-native-svg

Note: The dependency [ react-native-svg] is required as a peer dependency for the UI kitten library.

UI Kitten is ready to use now. To check, everything has installed correctly, let’s modify App.js with the following snippet:

import React from 'react'
import { ApplicationProvider, Layout, Text } from '@ui-kitten/components'
import { mapping, light as lightTheme } from '@eva-design/eva'

const HomeScreen = () => (
<Layout style={{ flex: 1, justifyContent: 'center', alignItems: 'center' }}>
<Text category='h1'>HOME</Text>
</Layout>
)

const App = () => (
<ApplicationProvider mapping={mapping} theme={lightTheme}>
<HomeScreen />
</ApplicationProvider>
)

export default App

To run this demo, open up the terminal window and execute the following command.

expo start

I am using an iOS simulator for the demo. Here is the output of the above code snippet.

What is FlatList?

The component FlatList is an efficient way to create scrolling data lists in a React Native app. It has a simple API to work with and displays a large amount of information.

By default, you can just pass in an array of data and this component will do its work. You usually do not have to take care of formatting the data.

Basic usage of a FlatList component

There are three primary props that a FlatList component requires to display a list of data:

  • data: an array of data that is used to create a list. Generally, this array is built of multiple objects.
  • renderItem: is a function that takes an individual element from the data array and renders it on the UI.
  • keyExtractor: it tells the list of data to use the unique identifiers or id for an individual element.

To understand this, let’s build a mock array of data and use FlatList to display it on our demo app. To start, import the following statements in App.js file.

import React from 'react'
import { FlatList, View, Text } from 'react-native'

Then, create an array of mock data.

const mockData = [
{ id: '1', text: 'Expo 💙' },
{ id: '2', text: 'is' },
{ id: '3', text: 'Awesome!' }
]

Now, modify the HomeScreen component with the following snippet:

const HomeScreen = () => (
<View
style={{
flex: 1,
paddingHorizontal: 20,
paddingVertical: 20,
marginTop: 40
}}>
<FlatList
data={mockData}
keyExtractor={item => item.id}
renderItem={({ item }) => (
<Text style={{ fontSize: 22 }}>
{item.id} - {item.text}
</Text>
)}
/>
</View>
)

If the Expo cli command to run the development server is still running, you are going to get the following result.

Fetching data from Remote API in a FlatList

You can even play around with it. Try to fetch data from a real-time remote API and display them in the list instead of mock data.

For a start, you can use a public API URL such as Randomuser.me API. The result we’re hoping to obtain at the end of this section is displayed below.

Open App.js and add a state object with some properties to keep track of data from the Random User API. Also, do not forget to modify the import statements.

// modify the import statements as below
import React from 'react'
import {
FlatList,
View,
ActivityIndicator,
TouchableOpacity
} from 'react-native'
import { ApplicationProvider, Text, Avatar } from '@ui-kitten/components'
import { mapping, light as lightTheme } from '@eva-design/eva'

// add a state object to the HomeScreen component
class HomeScreen extends React.Component {
state = {
loading: false,
data: [],
page: 1,
seed: 1,
error: null
}

// ... rest of the code
}

With the HTTP request to the API URL, let us fetch the first 20 results for now. Create a handler method called makeRemoteRequest that uses JavaScript's fetch(url) where url is the API request. It will fetch the results in JSON format. In case of a successful response from the API, the loading indicator ( which we're going to add later) will be false.

Also, using the lifecycle method componentDidMount, you can render the list of random users at the initial render of the HomeScreen component.

componentDidMount() {
this.makeRemoteRequest()
}

makeRemoteRequest = () => {
const { page, seed } = this.state
const url = `https://randomuser.me/api/?seed=${seed}&page=${page}&results=20`
this.setState({ loading: true })

fetch(url)
.then(res => res.json())
.then(res => {
this.setState({
data: page === 1 ? res.results : [...this.state.data, ...res.results],
error: res.error || null,
loading: false
})
})
.catch(error => {
this.setState({ error, loading: false })
})
}

Next, add a renderFooter handler method that is going to display a loading indicator based on the value from the state object. This indicator is shown when the list of data in still being fetched. When the value of this.state.loading is true, using the ActivityIndicator from react-native components, a loading indicator on the UI screen is shown.

renderFooter = () => {
if (!this.state.loading) return null
return (
<View
style={{
paddingVertical: 20,
borderTopWidth: 1,
borderColor: '#CED0CE'
}}>
<ActivityIndicator animating size='large' />
</View>
)
}

Here is the output you are going to get when the loading indicator is shown.

Adding a custom Separator to FlatList component

Previously, you learned about the three most important props in the FlatList component. It is so flexible that it comes with extra props to render different components to make the UI pleasing to the user. One such prop is called ItemSeparatorComponent. You can add your own styling with custom JSX.

To do so, add another handler method called renderSeparator. It consists of rendering a View with some styling.

renderSeparator = () => {
return (
<View
style={{
height: 1,
width: '86%',
backgroundColor: '#CED0CE',
marginLeft: '5%'
}}
/>
)
}

This completes all of the handler methods currently required. Now, let’s replace the previous FlatList component in App.js with the following snippet.

A list of user names is going to be rendered with an individual item as the user. When pressed, it shows an alert message for now, but in the real-time app, it will go on to display the complete user profile or user’s contact.

The individual items in the list are going to be separated by the renderSeparator method, and each item is going to display a user image which is composed of the Avatar component from react-native-ui-kitten. The data is coming from the state object.

<FlatList
data={this.state.data}
renderItem={({ item }) => (
<TouchableOpacity onPress={() => alert('Item pressed!')}>
<View
style={{
flexDirection: 'row',
padding: 16,
alignItems: 'center'
}}>
<Avatar
source={{ uri: item.picture.thumbnail }}
size='giant'
style={{ marginRight: 16 }}
/>
<Text
category='s1'
style={{
color: '#000'
}}>{`${item.name.first} ${item.name.last}`}</Text>
</View>
</TouchableOpacity>
)}
keyExtractor={item => item.email}
ItemSeparatorComponent={this.renderSeparator}
ListFooterComponent={this.renderFooter}
/>

From the above snippet, you can also notice that the loading indicator handler method renderFooter() is also used as the value of a prop called ListFooterComponent.

You can also use this prop to render other information at the bottom of all the items in the list. One example is to fetch more items in the list and show the loading indicator when the request is made.

Here is the output so far.

Adding a Search bar

To create a search bar on top of the FlatList, you need a component that scrolls away when the list is scrolled. One possible solution is to create a custom Search bar component and render it as the value of ListHeaderComponent prop in a FlatList.

Open App.js and add the following prop to the list.

<FlatList
// rest of the props remain same
ListHeaderComponent={this.renderHeader}
/>

The search bar component is going to be an input field that can take the user’s name from the end-user. To build one, let us start by modifying the import statements as below.

import filter from 'lodash.filter'
import { ApplicationProvider, Text, Avatar, Input } from '@ui-kitten/components'

Next, modify the state object and add the following variables to it. The query is going to hold the search term when the input is provided. The fullData is a temporary array that a handler method will use to filter the user's name on the basis of a query.

state = {
// add the following
query: '',
fullData: []
}

Since you are already storing the results fetched from the remote API, state variable data, let us do the same for fullData as well. Add the following inside the handler method makeRemoteRequest().

makeRemoteRequest = () => {
const { page, seed } = this.state
const url = `https://randomuser.me/api/?seed=${seed}&page=${page}&results=20`
this.setState({ loading: true })

fetch(url)
.then(res => res.json())
.then(res => {
this.setState({
data: page === 1 ? res.results : [...this.state.data, ...res.results],
error: res.error || null,
loading: false,

// ---- ADD THIS ----
fullData: res.results
})
})
.catch(error => {
this.setState({ error, loading: false })
})
}

Next, add the handler method that is going to handle the search bar. By default, it is going to format the search term provided as a query to lowercase. The user’s name is filtered from the state variable fullData while the state variable data stores the final results after the search to render the correct user.

handleSearch = text => {
const formattedQuery = text.toLowerCase()
const data = filter(this.state.fullData, user => {
return this.contains(user, formattedQuery)
})
this.setState({ data, query: text })
}

The contains handler method is going to look for the query. It accepts two parameters: the first and last name of the user and the formatted query to lowercase from handleSearch().

contains = ({ name, email }, query) => {
const { first, last } = name
if (first.includes(query) || last.includes(query) || email.includes(query)) {
return true
}
return false
}

Lastly, add renderHeader to render the search bar on the UI.

renderHeader = () => (
<View
style={{
backgroundColor: '#fff',
padding: 10,
alignItems: 'center',
justifyContent: 'center'
}}>
<Input
autoCapitalize='none'
autoCorrect={false}
onChangeText={this.handleSearch}
status='info'
placeholder='Search'
style={{
borderRadius: 25,
borderColor: '#333',
backgroundColor: '#fff'
}}
textStyle={{ color: '#000' }}
/>
</View>
)

That’s it to add a search bar to the FlatList component.

Run the app

To run the app, make sure the expo start command is running. Next, go to Expo client and you are going to be prompted by the following screen:

Next, try to add a user name from the list being rendered.

Add clear button to input text field

<Input
// rest of the props remain same
clearButtonMode='always'
/>

Now go back to the Expo client and see it in action

Conclusion

The screen implemented in this demo is from one of the templates from Crowdbotics’ react-native collection.

We use UI Kitten for our latest template libraries. Find more about how to create custom screens like this from our open source project here.

You can also find the source code from this tutorial at this Github repo.

Aman Mittal

Aman Mittal is a Computer Science engineer working as an independent fullstack developer. He specializes in web & mobile platforms working with technologies such as Node.js, ReactJS, and React Native.

Originally published on the Crowdbotics Blog April 16, 2020.

Building A Web Or Mobile App?

Crowdbotics is the fastest way to build, launch and scale an application.

Developer? Try out the Crowdbotics App Builder to quickly scaffold and deploy apps with a variety of popular frameworks.

Busy or non-technical? Join hundreds of happy teams building software with Crowdbotics PMs and expert developers. Scope timeline and cost with Crowdbotics Managed App Development for free.

--

--