I‘m excited to walk you through a complete guide to web scraping with PHP. I‘ve been working with web scrapers for over 5 years, and I‘m eager to share everything I‘ve learned to help you extract and analyze data from the web.
PHP is one of the best languages to know for web scraping due to how widely used it is on the web. Over 75% of all websites use PHP in some way, so learning to scrape with it provides access to a huge amount of data.
I‘ll be with you every step of the way in this guide. By the end, you‘ll have a clear understanding of:
- Why PHP is so useful for web scraping
- How to set up your environment
- Scraping basic HTML pages
- Using advanced libraries like Goutte
- Working with paginated content
- Storing scraped data properly
- Tips for JavaScript-heavy sites
- And much more!
Let‘s get started friend!
Why Use PHP for Scraping?
I want to begin by highlighting some key advantages that make PHP a great choice for web scrapers:
Widespread Usage
As I mentioned earlier, over 75% of all websites use PHP in some way according to W3Techs. It powers popular platforms like WordPress, Facebook, Wikipedia and more.
This widespread usage means that PHP scrapping libraries and tools are plentiful. There are many existing code examples and tutorials available as well.
Built-in Functions
PHP contains many built-in functions that are useful for web scraping tasks including:
- file_get_contents() – Downloads raw HTML/text from a URL
- DOMDocument – Parses HTML and allows DOM traversal
- preg_match() – Applies regular expression pattern matching
These functions provide a quick starting point before needing more robust third-party tools.
Fast Execution
Since PHP is compiled down to bytecode and executed natively, it‘s very fast for simple scraping scripts.
Benchmark tests show PHP matching or exceeding the speeds of Python and NodeJS in many cases. When scraping large volumes of pages, this performance boost is valuable.
Open Source
PHP is freely available under open source licenses. The raw engine is written in C which is also open source.
This means PHP can run on virtually any platform from Windows to Linux to macOS and more. You can be sure your web scrapers will work across operating systems.
The open source nature also fosters collaboration and transparency from the large PHP community.
Easy to Learn
While languages like Python take some time to properly grasp concepts like indentation rules, PHP has a relatively gentle learning curve by comparison.
The syntax is loosely based on C/C++ so it uses standard braces for blocks and semicolons to terminate lines. Variables do not require type declarations.
This simplicity helps new developers start scraping the web quicker compared to other languages.
Now that you understand the benefits, let‘s look at setting up a scraping environment.
Prerequisites to Start Scraping
Before we start writing PHP code to scrape the web, you‘ll want to have your environment configured properly:
PHP 7.1 or Above
I recommend using the latest available PHP version which is currently 8.x at the time I‘m writing this guide. However, PHP 7.1 or above should have the necessary features.
Older versions may not support critical functions we need. You can check your installed PHP version by running:
php -v
If you need to upgrade, I suggest using a package manager for your operating system like Homebrew on macOS or Chocolatey on Windows.
Composer
Composer is the package manager for PHP that allows you to install third-party libraries. We‘ll use it later to get more advanced scraping tools.
You can download the Composer PHAR archive from getcomposer.org and execute it globally like so:
php composer.phar install
Or if you have curl:
curl -s https://getcomposer.org/installer | php
Once installed, verify it works via:
composer --version
This will be essential for streamlining dependencies.
cURL Extension
cURL allows PHP to transfer data using various network protocols. It‘s usually included by default with PHP installations.
Test for it with:
if (!extension_loaded(‘curl‘)) {
echo ‘cURL extension required!‘;
exit;
}
If missing, research installing it for your system. It can be compiled from source or may be an optional package.
DOM Extension
The DOM (Document Object Model) extension parses HTML and XML documents into a traversable structure. This allows querying elements by ID, class name, tag name etc.
Verify it is active:
if (!extension_loaded(‘dom‘)) {
echo ‘DOM extension required!‘;
exit;
}
Like cURL, research installing it if needed.
With the prerequisites checked off, you have a web scraping ready PHP environment!
Scraping Simple Sites with file_get_contents()
For basic web pages that don‘t require complex interaction, PHP‘s built-in file_get_contents() function can retrieve the raw HTML:
$html = file_get_contents(‘http://example.com/‘);
This will download the full source code of the page as a string. You can then process it further based on your needs.
Let‘s try an example with books.toscrape.com:
$html = file_get_contents(‘http://books.toscrape.com/‘);
// Extract title
preg_match(‘/<title>(.*)<\/title>/‘, $html, $matches);
echo $matches[1];
// Find all product names
preg_match_all(‘/<h3>(.*?)<\/h3>/‘, $html, $matches);
print_r($matches[1]);
This uses regular expressions to search through the HTML and extract the
elements containing book names.
The main downside is that regex can be brittle and hard to maintain for complex data extraction. But for simple pages, it‘s a handy tool you already have access to in PHP without any additional libraries.
Now let‘s look at more robust ways to parse and traverse HTML documents.
Scraping Complex Sites with Goutte
When dealing with large, complex websites, a simple regex approach often won‘t suffice. We need more powerful tools for DOM traversal and interaction.
This is where a library like Goutte comes in very handy. Goutte provides a nice API for scraping HTML pages more effectively.
Let‘s install it using Composer:
composer require fabpot/goutte
Then we can start loading pages and extracting data:
// Require the Goutte autoloader
require ‘vendor/autoload.php‘;
// Create a Goutte client
$client = new \Goutte\Client();
// Load a page
$crawler = $client->request(‘GET‘, ‘http://books.toscrape.com/‘);
// Extract data
echo $crawler->filter(‘title‘)->text();
$crawler->filter(‘.product_pod‘)
->each(function ($node) {
echo $node->filter(‘h3‘)->text() . PHP_EOL;
});
This code loads the books page, then searches for elements by CSS selector to extract the title and product names.
Goutte uses Symfony‘s DOMCrawler and CssSelector components under the hood to allow jQuery-like traversal of HTML and XML documents.
Some key advantages over regex parsing:
- More concise and readable selectors
- Support for DOM manipulation methods like text(), html(), attr() etc
- Built-in mechanisms for form submission, file uploading, click simulation
- Memory efficiency for large documents
According to web scraping experts, Goutte can handle the majority of static web pages with graceful degradation. The API abstractions spare you from having to write DOM traversal code yourself.
Let‘s look at a common web scraping chore – handling pagination.
Pagination: Scraping Data Across Multiple Pages
Often a website will have paginated content across many numbered URLs like:
- example.com/page1
- example.com/page2
- example.com/page3
And so on…
To scrape all this content, we need to recursively visit each page until no more are found.
Goutte provides a few ways to handle pagination like this. A simple approach is finding the "Next" links and clicking them:
// Load page 1
$crawler = $client->request(‘GET‘, ‘http://books.toscrape.com/‘);
// Loop through pagination
while ($crawler) {
// Extract data from current page
// ...
// Try clicking the next page link
$nextLink = $crawler->selectLink(‘next‘)->link();
if ($nextLink) {
// Follow next page
$crawler = $client->click($nextLink);
} else {
// No more pages found
break;
}
}
Here we fetch the first page, then loop through clicking the "next" link until no more pages are found.
The key steps are:
- Check for a "next" selector
- Extract the matched link with link()
- Click the link with click()
- This returns the next page HTML to continue looping
Goutte takes care of automatically building absolute URLs when you click page links. This saves you hassle compared to using file_get_contents() directly.
Now let‘s look at actually storing scraped data for further use.
Storing Scraped Data
As you scrape page after page, you‘ll want to store extracted data in a structured format for later analysis and processing.
For simple use cases, writing to a CSV (comma separated values) file can work well:
$file = fopen(‘results.csv‘, ‘w‘);
// Scrape pages
foreach ($books as $book) {
fputcsv($file, [$book[‘title‘], $book[‘price‘]]);
}
fclose($file);
This gives you a simple spreadsheet of your results.
For more advanced use, you may want to insert records into a relational database like MySQL. PHP includes the PDO library for interfacing with databases.
$db = new PDO(‘mysql:host=localhost;dbname=scraping‘, $user, $pass);
foreach ($books as $book) {
$statement = $db->prepare("INSERT INTO books VALUES (:title, :price)");
$statement->execute($book);
}
This approach allows powerful SQL querying abilities on your scraped data.
Other common formats are JSON or XML files. These can integrate nicely with JavaScript programs or apps you are building the scraper for.
The key is structuring your data in a useful way as you extract it from pages.
Now let‘s discuss handling a modern web scraping challenge – JavaScript.
Scraping JavaScript-Heavy Sites
In the early days of the internet, websites were mostly simple HTML pages with minimal JavaScript sprinkled in.
Fast forward to today, and many modern sites rely heavily on JavaScript to render content, especially sites built with frameworks like React or Vue.
The issue is that simple file_get_contents() requests do not execute JavaScript code. They only receive the initial payload HTML, which often does not contain the full rendered content you want to scrape.
To scrape these sites, we need a web browser capable of executing JavaScript to get the full DOM after code execution.
This is where libraries like Symfony Panther come in. Panther uses real browser engines like Chrome and Firefox behind the scenes to evaluate page JavaScript and return the updated DOM.
Let‘s set it up:
composer require symfony/panther
npm install puppeteer
Puppeteer is a headless Chrome browser that Panther will leverage.
Now we can scrape JavaScript pages:
use Symfony\Component\Panther\Client;
$client = Client::createChromeClient();
$client->request(‘GET‘, ‘https://example.com‘);
// Wait for JavaScript to load content
$client->waitFor(‘.js-generated‘);
// Extract loaded content
$html = $client->getPageSource();
// Traverse as usual
$dom = new DomCrawler($html);
echo $dom->filter(‘.js-generated‘)->text();
The key points are:
- Panther boots a real Chrome browser to evaluate the JavaScript
- We wait for certain elements to appear from the JS with waitFor()
- Once loaded, we can grab the updated HTML with getPageSource()
- The DOM is then traversable as usual!
According to web scraping experts, Panther is one of the most reliable and hassle-free ways to scrape JavaScript pages with PHP. Definitely a useful tool to keep in your toolkit.
Now let‘s recap everything you‘ve learned!
Scraping Takeaways and Next Steps
Congratulations friend! Together we‘ve covered a ton of web scraping territory with PHP:
- Why PHP is ideal for scraping – Ubiquitous usage, fast performance, built-in functions
- Prerequisites – PHP 7+, Composer, cURL, DOM extensions
- Scraping simple pages – file_get_contents() and regex parsing
- Using Goutte – Robust library for complex sites and data extraction
- Pagination – Recursively visit and scrape all available pages
- Data storage – CSV, JSON, XML, databases
- JavaScript sites – Leverage Panther for Chrome JavaScript execution
You‘re now equipped to start building PHP scrapers of your own and slurping data from across the web!
Some next steps I recommend:
-
Practice scraping a range of sites to gain experience
-
Handle cookies and sessions for authenticated areas
-
Build scrapers for APIs by parsing JSON
-
Learn how to avoid blocking with proxies and headers
-
Create scrapers tailored to your unique data needs
-
Build a web interface for scraper management
-
Integrate scrapers into a larger application
The possibilities are endless once you master the art of programmatically extracting data with PHP!
I sincerely hope this guide gives you a comprehensive base of knowledge to start your web scraping journey. Please reach out if you have any other questions!
Happy scraping friend!