https://github.com/WuLC/GoogleImagesDownloader

Enlarge training dataset by searching images with specified keywords in google and download the presented images
https://github.com/WuLC/GoogleImagesDownloader

crawler google image keyword selenium

Last synced: 3 months ago
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Enlarge training dataset by searching images with specified keywords in google and download the presented images

• Host: GitHub
• URL: https://github.com/WuLC/GoogleImagesDownloader
• Owner: WuLC
• License: mit
• Created: 2017-09-26T14:02:28.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2020-12-11T06:13:01.000Z (almost 4 years ago)
• Last Synced: 2024-04-10T08:36:33.445Z (7 months ago)
• Topics: crawler, google, image, keyword, selenium
• Language: Python
• Homepage:
• Size: 60.8 MB
• Stars: 126
• Watchers: 6
• Forks: 66
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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• awesome - WuLC/GoogleImagesDownloader - Enlarge training dataset by searching images with specified keywords in google and download the presented images (Python)

README

        
# GoogleImagesDownloader

This repository can download images from google with specified keywords

## Requirements

- python 3.5

- selenium 3.6.0

- Firefox

- geckodriver

**Firefox and geckodriver are required by selenium, and Firefox 55 or greater is recommended, cause [geckodriver][1] support that best. As for geckodriver, just download the latest version of geckodriver from [here][2], then add it to the PATH environment variable.**

Here is an example of downloading with selenium using 2 processes



## Details and Configuration

### Two Methods

Two different methods are provided

- `download_with_urllib`

- `download_with_selenium`

`download_with_urllib` is to download with just package `urllib`, but due to the limit by google, each searching query can download at most 100 images

`download_with_selenium` is to download with package `selenium` and `urllib`, with selenium, we can directly search and scroll in the browser, so we can get more than 100 images for each searching query

**Both of the above methods support downloading with single process or mulitple processes**, and `download_with_selenium` will firstly store the actual links of images in a file, then download the actual images with the file, while `download_with_urllib` will directly download all the images since the number if small

**Specify `main_keywords` and `supplemented_keywords` in the code**, each `main_keyword` will join with each `supplemented_keyword` to become a searching query, and one directory will be created for each main_keyword to store the related images.The following image is a simple example 



### Download With Time Limit

As to the script `download_images_with_time_limit.py`, it is a replacement of the method `download_images` in script `download_with_selenium.py`, because the method `download_images` will always block due to network issue, so I add restriction that each http request can cost at most 10 sceonds, and that is what `download_images_with_time_limit.py` does. 

Pay attention that the time-limited strategy is to use the signal that system provides, and here the `SIGALRM` in unix-like system is adopted, so this script should run with unix-like system rather than Windows. However, the network blocking thing happened when I ran the script in my network, but not sure whether this will happen in yours, so you can test with `download_with_selenium.py` firstly, if the downloading task blocks, change to the script `download_images_with_time_limit.py`

More details about the repository can be obtained in [this blog][5]

  [1]: https://github.com/mozilla/geckodriver

  [2]: https://github.com/mozilla/geckodriver/releases

  [3]: https://github.com//WuLC/GoogleImagesDownloader/blob/master/imgs/download_with_selenium.gif

  [4]: http://static.zybuluo.com/WuLiangchao/pcnc2a7dge8y2jh0lt15l05l/image_1c52u2p8r1t8hfkmsie10lr1d1qm.png

  [5]: http://wulc.me/2017/09/23/Google%20%E5%9B%BE%E7%89%87%E7%88%AC%E8%99%AB/