How To Create Your Own Stats Program (JavaScript, AJAX, PHP)

When creating a website, one main goal is to attract visitors. Traffic generation is a necessity for monetary purposes, showing off your work, or just expressing your thoughts. There are many ways to create traffic for your website. Search engines, social bookmarking, and word of mouth are just a few examples. But how do you know whether this traffic is genuine? How do you know if your visitors are coming back for a second time?

Web Statistics

These questions have raised the concept of web statistics. Often times, webmasters use certain programs, such as Google Analytics or Awstats, to complete this job for them. These programs obtain a wide variety of information about visitors to a site. They find page views, visits, unique visitors, browsers, IP addresses, and much more. But how exactly is this accomplished? Follow along as we present a tutorial on how to create your own web statistics program using PHP, JavaScript, AJAX, and SQLite.

View Demo of your Own Stats Program

To begin, let’s start with some simple HTML markup that will act as the page we are tracking:

<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" ""> 
<html xmlns="" dir="ltr" lang="en-US"> 
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8" /> 
<title>Web Statistics</title>

<h2 id="complete"></h2>


The h2#complete element will be filled dynamically with JavaScript once the page view has successfully been tracked by our web statistics. To initiate this tracking, we can use jQuery and an AJAX request:

<script type="text/javascript" src=""></script>
<script type='text/javascript'> 
$(function() {
	// Set the data text
	var dataText = 'page=<?php echo $_SERVER['REQUEST_URI']; ?>&referrer=<?php echo $_SERVER['HTTP_REFERER']; ?>';

	// Create the AJAX request
		type: "POST",                    // Using the POST method
		url: "/process.php",             // The file to call
		data: dataText,                  // Our data to pass
		success: function() {            // What to do on success
			$('#complete').html( 'Your page view has been added to the statistics!' );

Consider the above code step by step:

  • When the DOM is ready, we first set our dataText. This text is in query string format and will be sent as data to process.php, which will track this page view.
  • We then create an AJAX request that uses the POST method to send form data.
  • Our form data (dataText) is then sent to process.php in the root of our server.
  • Once this request is completed, the h2#complete element is filled with a successful notice

Our next job is to write process.php. Its main goal is to obtain information about the web statistics and store it in a database. Since our database has not yet been made, we must create a simple file, install.php, which will do this for us:

SQLite Database

	# Open the database
	$handle = sqlite_open( $_SERVER['DOCUMENT_ROOT'].'stats.db', 0666, $sqliteError ) or die(  $sqliteError  );

	# Set the command to create a table
	$sqlCreateTable = "CREATE TABLE stats(page text UNIQUE, ip text, views UNSIGNED int DEFAULT 0, referrer text DEFAULT '')";

	# Execute it
	sqlite_exec( $handle, $sqlCreateTable );
	# Print that we are done
	echo 'Finished!';

This code is mostly straightforward. It opens up a database (stats.db) in the root of the server and creates a database for it. The string inside $sqlCreateTable is a SQLite command that makes our statistics table. This table contains four colums: Page, IP Address, Views, and Referrer:

  • Page is a String that contains the page being viewed as a relative link (i.e. /index.php).
  • IP Address is also a String that contains a list of IP Addresses that visited this page. It is in the format of numVisits1(IP Address1) numVisits2(IP Address2) numVisits3(IP Address3) etc. For example, if we obtained 10 visits from and 5 visits from (hypothetical ip addresses), this String would be "10( 5(".
  • Views is an integer containing the number of times the page has been viewed.
  • Referrer is a String in the same format as IP Address. It contains all referrers to this page and how many referrals have been made.

And now onto process.php:

# Connect to the database
$handle = sqlite_open( $_SERVER['DOCUMENT_ROOT'].'/stats.db', 0666, $sqliteError ) or die( $sqliteError );

# Use the same-origin policy to prevent cross-site scripting (XSS) attacks
# Remember to replace with your actual domain
if( strpos( $_SERVER['HTTP_REFERER'], '' ) !== 0 ) {
     die( "Do not call this script manually or from an external source." );

# Obtain the necessary information, strip HTML tags, and escape the string for backup proetection
$page = sqlite_escape_string( strip_tags( $_POST['page'] ) );
$referrer = sqlite_escape_string( strip_tags( $_POST['referrer'] ) );
$ip = sqlite_escape_string( strip_tags( $_SERVER['REMOTE_ADDR'] ) );

# Query the database so we can update old information
$sqlGet = 'SELECT * FROM stats WHERE page = \''.$page.'\'';
$result = sqlite_query( $handle, $sqlGet );

This first snippet connects to our stats database and gets the information we need for the current visit. It also queries the database and obtains any information previously stored. We use this information to create an updated table.

The next job is to find old information:

Old Statistics

# Set up a few variables to hold old information
$views = 0;
$ips = '';
$referrers = '';
# Check if old information exists
if( $result && ( $info = sqlite_fetch_array( $result ) ) ) { 
	# Get this information
	$views = $info['views'];
	$ips = $info['ip'].' ';
	if( $info['referrer'] )
		$referrers = $info['referrer'].' ';

	# Set a flag to state that old information was found
	$flag = true;

The above code finds all previous information in our table. This is vital, as we need to update the number of views (increase it by one), IP addresses, and referrers.

# Create arrays for all referrers and ip addresses
$ref_num = array();
$ip_num = array();

# Find each referrer
$values = split( ' ', $referrers );

# Set a regular expression string to parse the referrer
$regex = '%(\d+)\((.*?)\)%';

# Loop through each referrer
foreach( $values as $value ) {
	# Find the number of referrals and the URL of the referrer
	preg_match( $regex, $value, $matches );
	# If the two exist
	if( $matches[1] && $matches[2] )
		# Set the corresponding value in the array ( referrer link -> number of referrals )
		$ref_num[$matches[2]] = intval( $matches[1] );
# If there is a referrer on this visit
if( $referrer )
	# Add it to the array
# Get the IPs
$values = split( ' ', $ips );

# Repeat the same process as above
foreach( $values as $value ) {
	# Find the information
	preg_match( $regex, $value, $matches );
	# Make sure it exists
	if( $matches[1] && $matches[2] )
		# Add it to the array
		$ip_num[$matches[2]] = intval( $matches[1] );

# Update the array with the current IP.

The above two loops are very similar. They take in the information from the database and parse it with regular expressions. Once this information is parsed, it is stored in an array. Each array is then updated with the information from the current visit. This information can then be used to create the final String:

# Reset the $ips string
$ips = '';

# Loop through all the information
foreach( $ip_num as $key => $val ) {
	# Append it to the string (separated by a space)
	$ips .= $val.'('.$key.') ';

# Trim the String
$ips = trim( $ips );

# Reset the $referrers string
$referrers = '';

# Loop through all the information
foreach( $ref_num as $key => $val ) {
	# Append it
	$referrers .= $val.'('.$key.') ';

# Trim the string
$referrers = trim( $referrers );

The final strings are now created. IPs and Referrers are in the form: “numVisits1(IP/Referrer1) numVisits2(IP/Referrer2) etc.” For example, the following could be the referrer String:

5( 10(

It means that 5 referrals came from and 10 came from This format saves space and is easy to parse as web statistics.

Now for the final few lines:

# Update the number of views
# If we did obtain information from the database
# (the database already contains some information about this page)
if( $flag )
	# Update it
	$sqlCmd = 'UPDATE stats SET ip=\''.$ips.'\', views=\''.$views.'\', referrer=\''.$referrers.'\' WHERE page=\''.$page.'\'';

# Otherwise
	# Insert a new value into it
	$sqlCmd = 'INSERT INTO stats(page, ip, views, referrer) VALUES (\''.$page.'\', \''.$ips.'\',\''.$views.'\',\''.$referrers.'\')';
# Execute the commands
sqlite_exec( $handle, $sqlCmd );

That’s all there is to it for process.php. As a review, it finds the IP Address and Referrer of the visitor, uses the values to create two Strings, increases the number of views of the page by one, and places all of these values into the database.

There is now only one task left. We have to display the web statistics. Let’s call the following file display.php:

Display The Statistics

<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" ""> 
<html xmlns="" dir="ltr" lang="en-US"> 
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8" />
<title>Web Statistics Display</title>

	# Open up the database
	$handle = sqlite_open( $_SERVER['DOCUMENT_ROOT'].'/stats.db', 0666, $sqliteError ) or die( $sqliteError );
	# Get all the statistics
	$sqlGet = 'SELECT * FROM stats';
	$result = sqlite_query( $handle, $sqlGet );
	# Create an unordered list
	echo "<ul>\n";
	# If there are results
	if( $result ) {
		$page_views = 0;
		$unique_visitors = 0;
		# Fetch them
		while( ($info = sqlite_fetch_array( $result ) ) ) {
			# Get the page, views, IPs, and referrers
			$page = $info['page'];
			$views = $info['views'];
			$ips = $info['ip'];
			$referrers = $info['referrer'];
			# Print out a list element with the $page/$views information
			if( $views == 1 )
				echo "\t<li>\n\t\t<p>$page was viewed $views time:</p>\n";
				echo "\t<li>\n\t\t<p>$page was viewed $views times:</p>\n";
			# Update the number of page views
			$page_views += $views;
			# Parse the data of IPs and Referrers using process.php's code 
			preg_match_all( '%(\d+)\((.*?)\)%', $ips, $matches );
			# Find the size of the data
			$size = count( $matches[1] );
			# Create a sub list
			echo "\t\t<ul>\n";
			# Loop through all the IPs
			for( $i = 0; $i < $size; $i++ ) {
				# Find the number of visits
				$num = $matches[1][$i];

				# Find the IP address
				$ip = $matches[2][$i];
				# Print the info in a list element
				if( $num == 1 )
					echo "\t\t\t<li>$num time by $ip</li>\n";
					echo "\t\t\t<li>$num times by $ip</li>\n";
				# Update the number of unique visitors
			# Repeat the whole process for referrers
			preg_match_all( '%(\d+)\((.*?)\)%', $referrers, $matches );
			$size = count( $matches[1] );
			# Loop through each one
			for( $i = 0; $i < $size; $i++ ) {
				$num = $matches[1][$i];
				$referrer = $matches[2][$i];
				# Print out the info
				if( $num == 1 )
					echo "\t\t\t<li>$num referral by $referrer</li>\n";
					echo "\t\t\t<li>$num referrals by $referrer</li>\n";
			# End the sub-list
			echo "\t\t</ul>\n";
			# End the list element
			echo "\t</li>\n";
		echo "\t<li>Total unique visitors: $unique_visitors</li>\n";
		echo "\t<li>Total page views: $page_views</li>\n";
	# End the unordered list
	echo "</ul>\n";
	# Close the database


It may seem daunting, but it is very similar to process.php. It parses the page, views, ip addresses, and referrers from the database. It then continues to output these in an unordered list format.

The final output is as follows:

Final Web Statistics

View Demo of your Own Stats Program

Thank you for reading and good luck!

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