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Project Description

Introduction

Documentation: http://icrawler.readthedocs.io/

This package is a mini framework of web crawlers. With modularization design, it can be extended conveniently. It supports media data like images and videos very well, and can also be applied to texts and other type of files. Scrapy is heavy and powerful, while icrawler is tiny and flexible.

With this package, you can write a multiple thread crawler easily by focusing on the contents you want to crawl, avoiding some troublesome problems like exception handling, thread scheduling and communication.

It also provides built-in crawlers for popular image sites like flickr and search engines such as Google, Bing and Baidu. If you want to add your own crawlers into built-in, welcome for pull requests.

Requirements

Python 2.7+ or 3.4+ (recommended).

Samples

Using builtin crawlers is very simple.

from icrawler.builtin import GoogleImageCrawler

google_crawler = GoogleImageCrawler(parser_threads=2, downloader_threads=4,
                                    storage={'root_dir': 'your_image_dir'})
google_crawler.crawl(keyword='sunny', max_num=1000,
                     date_min=None, date_max=None,
                     min_size=(200,200), max_size=None)

Writing your own crawlers with this framework is also convenient, see the tutorials.

Structure

A crawler consists of 3 main components (Feeder, Parser and Downloader), they are connected with each other with FIFO queues. The workflow is shown in the following figure.

  • url_queue stores the url of pages which may contain images
  • task_queue stores the image url as well as any meta data you like, each element in the queue is a dictionary and must contain the field img_url
  • Feeder puts page urls to url_queue
  • Parser requests and parses the page, then extracts the image urls and puts them into task_queue
  • Downloader gets tasks from task_queue and requests the images, then saves them in the given path.

Feeder, parser and downloader are all thread pools, so you can specify the number of threads they use.

Release History

Release History

0.3.6

This version

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0.3.5

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0.3.4

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0.3.3

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0.3.2

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0.3.1

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0.3.0

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0.2.6

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0.2.5

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0.2.4

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0.2.3

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Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

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0.2.2

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Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

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0.2.1

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0.2.0

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0.1.5

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0.1.4

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Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

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0.1.3

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Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

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0.1.2

History Node

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Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

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0.1.1

History Node

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Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

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0.1.0

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

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Download Files

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
icrawler-0.3.6-py2.py3-none-any.whl (30.9 kB) Copy SHA256 Checksum SHA256 py2.py3 Wheel May 8, 2017
icrawler-0.3.6.tar.gz (20.0 kB) Copy SHA256 Checksum SHA256 Source May 8, 2017

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