Apify SDK: The scalable web crawling and scraping library for JavaScript
Apify SDK simplifies the development of web crawlers, scrapers, data extractors and web automation jobs.
It provides tools to manage and automatically scale a pool of headless Chrome / Puppeteer instances,
to maintain queues of URLs to crawl, store crawling results to a local filesystem or into the cloud,
rotate proxies and much more.
The SDK is available as the apify NPM package.
It can be used either stand-alone in your own applications
or in actors
running on the Apify Cloud.
View full documentation, guides and examples on the dedicated Apify SDK project website
Motivation
Thanks to tools like Puppeteer or
Cheerio, it is easy to write Node.js code to extract data from web pages. But
eventually things will get complicated. For example, when you try to:
- Perform a deep crawl of an entire website using a persistent queue of URLs.
- Run your scraping code on a list of 100k URLs in a CSV file, without losing any data when your code crashes.
- Rotate proxies to hide your browser origin.
- Schedule the code to run periodically and send notification on errors.
- Disable browser fingerprinting protections used by websites.
Python has Scrapy for these tasks, but there was no such library for JavaScript, the language of
the web. The use of JavaScript is natural, since the same language is used to write the scripts as well as the data extraction code running in a
browser.
The goal of the Apify SDK is to fill this gap and provide a toolbox for generic web scraping, crawling and automation tasks in JavaScript. So don't
reinvent the wheel every time you need data from the web, and focus on writing code specific to the target website, rather than developing
commonalities.
Overview
The Apify SDK is available as the apify NPM package and it provides the following tools:
Quick Start
The Apify SDK requires Node.js 10 or later.
Local stand-alone usage
Add Apify SDK to any Node.js project by running:
npm install apify --save
Run the following example to perform a recursive crawl of a website using Puppeteer. For more examples showcasing various features of the Apify SDK,
see the Examples section of the documentation.
const Apify = require('apify');
Apify.main(async () => {
const requestQueue = await Apify.openRequestQueue();
await requestQueue.addRequest({ url: 'https://www.iana.org/' });
const pseudoUrls = [new Apify.PseudoUrl('https://www.iana.org/[.*]')];
const crawler = new Apify.PuppeteerCrawler({
requestQueue,
handlePageFunction: async ({ request, page }) => {
const title = await page.title();
console.log(`Title of ${request.url}: ${title}`);
await Apify.utils.puppeteer.enqueueLinks({
page,
selector: 'a',
pseudoUrls,
requestQueue,
});
},
maxRequestsPerCrawl: 100,
maxConcurrency: 10,
});
await crawler.run();
});
When you run the example, you should see Apify SDK automating a Chrome browser.
By default, Apify SDK stores data to ./apify_storage in the current working directory. You can override this behavior by setting either the
APIFY_LOCAL_STORAGE_DIR or APIFY_TOKEN environment variable. For details, see Environment variables and
Data storage.
Local usage with Apify command-line interface (CLI)
To avoid the need to set the environment variables manually, to create a boilerplate of your project, and to enable pushing and running your code on
the Apify Cloud, you can use the
Apify command-line interface (CLI) tool.
Install the CLI by running:
npm -g install apify-cli
You might need to run the above command with sudo, depending on how crazy your configuration is.
Now create a boilerplate of your new web crawling project by running:
apify create my-hello-world
The CLI will prompt you to select a project boilerplate template - just pick "Hello world". The tool will create a directory called my-hello-world
with a Node.js project files. You can run the project as follows:
cd my-hello-world
apify run
By default, the crawling data will be stored in a local directory at ./apify_storage. For example, the input JSON file for the actor is expected to
be in the default key-value store in ./apify_storage/key_value_stores/default/INPUT.json.
Now you can easily deploy your code to the Apify Cloud by running:
apify login
apify push
Your script will be uploaded to the Apify Cloud and built there so that it can be run. For more information, view the
Apify CLI and Apify Actor
documentation.
Usage on the Apify Cloud
You can also develop your web scraping project in an online code editor directly on the Apify Cloud.
You'll need to have an Apify Account. Go to Actors, page in the app, click Create new
and then go to the Source tab and start writing your code or paste one of the examples from the Examples section.
For more information, view the Apify actors quick start guide.
Support
If you find any bug or issue with the Apify SDK, please submit an issue on GitHub.
For questions, you can ask on Stack Overflow or contact support@apify.com
Contributing
Your code contributions are welcome and you'll be praised to eternity!
If you have any ideas for improvements, either submit an issue or create a pull request.
For contribution guidelines and the code of conduct,
see CONTRIBUTING.md.
License
This project is licensed under the Apache License 2.0 -
see the LICENSE.md file for details.
Acknowledgments
Many thanks to Chema Balsas for giving up the apify package name
on NPM and renaming his project to jsdocify.