Crawly is an application framework for crawling web sites and extracting structured data which can be used for a wide range of useful applications, like data mining, information processing or historical archival.

1. Elixir ~> 1.14
2. Works on GNU/Linux, Windows, macOS X, and BSD.

0. Create a new project: mix new quickstart --sup

1. Add Crawly as a dependencies:

   # mix.exs
   defp deps do
       [
         {:crawly, "~> 0.15.0"},
         {:floki, "~> 0.33.0"}
       ]
   end

2. Fetch dependencies: $ mix deps.get

3. Create a spider

    # lib/crawly_example/books_to_scrape.ex
    defmodule BooksToScrape do
      use Crawly.Spider
   
      @impl Crawly.Spider
      def base_url(), do: "https://books.toscrape.com/"
   
      @impl Crawly.Spider
      def init() do
        [start_urls: ["https://books.toscrape.com/"]]
      end
   
      @impl Crawly.Spider
      def parse_item(response) do
        # Parse response body to document
        {:ok, document} = Floki.parse_document(response.body)
   
        # Create item (for pages where items exists)
        items =
          document
          |> Floki.find(".product_pod")
          |> Enum.map(fn x ->
            %{
              title: Floki.find(x, "h3 a") |> Floki.attribute("title") |> Floki.text(),
              price: Floki.find(x, ".product_price .price_color") |> Floki.text(),
              url: response.request_url
            }
          end)
   
        next_requests =
          document
          |> Floki.find(".next a")
          |> Floki.attribute("href")
          |> Enum.map(fn url ->
            Crawly.Utils.build_absolute_url(url, response.request.url)
            |> Crawly.Utils.request_from_url()
          end)
   
        %{items: items, requests: next_requests}
      end
    end

   New in 0.15.0 :

   It's possible to use the command to speed up the spider creation, so you will have a generated file with all needed callbacks: mix crawly.gen.spider --filepath ./lib/crawly_example/books_to_scrape.ex --spidername BooksToScrape

4. Configure Crawly

   By default, Crawly does not require any configuration. But obviously you will need a configuration for fine tuning the crawls: (in file: config/config.exs)

    import Config
   
    config :crawly,
      closespider_timeout: 10,
      concurrent_requests_per_domain: 8,
      closespider_itemcount: 100,
   
      middlewares: [
        Crawly.Middlewares.DomainFilter,
        Crawly.Middlewares.UniqueRequest,
        {Crawly.Middlewares.UserAgent, user_agents: ["Crawly Bot"]}
      ],
      pipelines: [
        {Crawly.Pipelines.Validate, fields: [:url, :title, :price]},
        {Crawly.Pipelines.DuplicatesFilter, item_id: :title},
        Crawly.Pipelines.JSONEncoder,
        {Crawly.Pipelines.WriteToFile, extension: "jl", folder: "/tmp"}
      ]

   New in 0.15.0:

   You can generate example config with the help of the following command: mix crawly.gen.config

5. Start the Crawl:

     iex -S mix run -e "Crawly.Engine.start_spider(BooksToScrape)"

6. Results can be seen with:

   $ cat /tmp/BooksToScrape_<timestamp>.jl
   

It's possible to run Crawly in a standalone mode, when Crawly is running as a tiny docker container, and spiders are just YMLfiles or elixir modules that are mounted inside.

Please read more about it here:

• Standalone Crawly
• Spiders as YML

Please use discussions for all conversations related to the project

Crawly can be configured in the way that all fetched pages will be browser rendered, which can be very useful if you need to extract data from pages which has lots of asynchronous elements (for example parts loaded by AJAX).

You can read more here:

• Browser Rendering

Crawly provides a simple management UI by default on the localhost:4001

It allows to:

• Start spiders
• Stop spiders
• Preview scheduled requests
• View/Download items extracted
• View/Download logs

Now don't have a possibility to work on experimental UI built with Phoenix and LiveViews, and keeping it here for mainly demo purposes.

The CrawlyUI project is an add-on that aims to provide an interface for managing and rapidly developing spiders. Checkout the code from GitHub

• API Reference
• Quickstart

To be discussed

1. Blog post on Erlang Solutions website: https://www.erlang-solutions.com/blog/web-scraping-with-elixir.html
2. Blog post about using Crawly inside a machine learning project with Tensorflow (Tensorflex): https://www.erlang-solutions.com/blog/how-to-build-a-machine-learning-project-in-elixir.html
3. Web scraping with Crawly and Elixir. Browser rendering: https://medium.com/@oltarasenko/web-scraping-with-elixir-and-crawly-browser-rendering-afcaacf954e8
4. Web scraping with Elixir and Crawly. Extracting data behind authentication: https://oltarasenko.medium.com/web-scraping-with-elixir-and-crawly-extracting-data-behind-authentication-a52584e9cf13
5. What is web scraping, and why you might want to use it?
6. Using Elixir and Crawly for price monitoring
7. Building a Chrome-based fetcher for Crawly

1. Blog crawler: https://github.com/oltarasenko/crawly-spider-example
2. E-commerce websites: https://github.com/oltarasenko/products-advisor
3. Car shops: https://github.com/oltarasenko/crawly-cars
4. JavaScript based website (Splash example): https://github.com/oltarasenko/autosites

We would gladly accept your contributions!

Please find documentation on the HexDocs

Using Crawly on production? Please let us know about your case!

Copyright (c) 2019 Oleg Tarasenko

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

1. Update version in mix.exs
2. Update version in quickstart (README.md, this file)
3. Commit and create a new tag: git commit && git tag 0.xx.0 && git push origin master --follow-tags
4. Build docs: mix docs
5. Publish hex release: mix hex.publish