This is the repository for the scraper for the DocSearch project. You can run it on your own, or ask us to crawl your documentation.

DocSearch is in fact 3 different projects.

• The front-end of DocSearch: https://github.com/algolia/docsearch
• The scraper which browses & indexes web pages: https://github.com/algolia/docsearch-scraper
• The configurations for the scraper: https://github.com/algolia/docsearch-configs

This project is a collection of submodules, each one in its own directory:

• cli: A command line tool to manage DocSearch. Run ./docsearch and follow the steps
• deployer: Tool used by Algolia to deploy the configuration in our mesos infrastructure
• doctor: A monitoring/repair tool to check if the indices built by the scraper are in good shape
• playground: An HTML page to easily test DocSearch indices
• scraper: The core of the scraper. It reads the configuration file, fetches the web pages and indexes them in Algolia.

• Install python
  • brew install python # will install pip
  • apt-get install python
  • Or any other way
• git clone git@github.com:algolia/documentation-scraper.git
• cd documentation-scraper
• pip install -r requirements.txt
• Download geckodriver from https://github.com/mozilla/geckodriver/releases, extract it
• rename the geckodriver executable to wires and make it accessible in the path
• Depending on what you want to do you might also need to install docker, especially to run tests.

Create a file named .env file at the root of the project:

APPLICATION_ID=
API_KEY=

To have the APPLICATION_ID and API_KEY, you need to create an [https://www.algolia.com/users/sign_up](Algolia account).

You should be able to do everything with the docsearch CLI tool:

$ ./docsearch
Docsearch CLI

Usage:
  ./docsearch command [options] [arguments]

Options:
  --help    Display help message

Available commands:
  test                  Run tests
  playground            Launch the playground
  run                   Run a config
 config
  config:bootstrap      Boostrap a docsearch config
  config:docker-run     Run a config using docker
 docker
  docker:build-scraper  Build scraper images (dev, prod, test)

To use DocSearch the first thing you need is to create the config for the crawler. For more details about configs, check out https://github.com/algolia/docsearch-configs, you'll have a list of options you can use and a lot of live and working examples.

Without docker:

$ ./docsearch run /path/to/your/config

With docker:

$ ./docsearch docker:build-scraper #Build the docker file
$ ./docsearch config:docker-run /path/to/your/config #run the docker container

Open ./playground/index.html in your browser, enter your credentials, your index name, and type some queries to make sure everything is ok.

Just add this snippet to your documentation:

<link rel="stylesheet" href="//cdn.jsdelivr.net/docsearch.js/2/docsearch.min.css" />
<script type="text/javascript" src="//cdn.jsdelivr.net/docsearch.js/2/docsearch.min.js"></script>

var search = docsearch({
  apiKey: '<API_KEY>',
  indexName: '<INDEX_NAME>',
  inputSelector: '<YOUR_INPUT_DOM_SELECTOR>',
  debug: false
});

And you are good to go!

If you are Algolia employee and want to manage a DocSearch account, you'll need to add the following variables in your .env file:

WEBSITE_USERNAME=
WEBSITE_PASSWORD=
SLACK_HOOK=
SCHEDULER_USERNAME=
SCHEDULER_PASSWORD=
DEPLOY_KEY=

The cli will then have more commands for you to run.

For some actions like deploying you might need to use different credentials than the ones in the .env file. To do this you need to override them when running the cli tool:

APPLICATION_ID= API_KEY= ./docsearch deploy:configs