Yandex images api python

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Python Script to download images from Yandex.Images.

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bobokvsky/yandex-images-download

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Python Script to download images from Yandex.Images.

• Checking for captcha presence
• Many filters
• Multiproccessing is available (option —num-workers )

1. Get Selenium driver executable for your browser and platform. Firefox, Chrome, Safari and Edge are supported.
   Use option —driver-path to specify the driver’s path or add the executable in your PATH.

$ yandex-images-download Chrome —keywords «vodka, bears, balalaika» —limit 10

Example of using keywords from input file with specific image extension/format:

$ yandex-images-download Chrome —keywords_from_file input_example.txt —itype=png

All other information can be obtained with the —help argument.

Special thanks to Andrey Lyashko (https://github.com/andy-landy) for code reviews and collaboration.
Special thanks to Boris Kovarski (https://github.com/kovarsky) and Andrey Lyashko (https://github.com/andy-landy) for backing the project.

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Python Script to download images from Yandex.Images.

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Simple and flexible image parser from Yandex Images

glebtk/Yandex-Images-Parser

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This is a simple parser for Yandex Images. It allows searching by text query or image.

When searching, you can specify parameters such as:

Delays between requests are automatically randomized in a range of +-15%.

Since Selenium is used for searching, there is no limit of 30 or 300 images in this parser.

It requires installation of the Mozilla Firefox browser!

$ git clone https://github.com/glebtk/yandex_images_parser.git

$ pip install -r requirements.txt

1. Ensure that all requirements are successfully installed.
2. Ensure that Mozilla Firefox is installed.
3. To test the functionality, you can run example.py.

Let’s start by creating an instance of the parser class:

from yandex_images_parser import Parser parser = Parser()

# Call the "query_search" function - search by query: # the "query" parameter contains the text query # the "limit" parameter defines the desired number of images one_cat = parser.query_search(query="cat", limit=1) # Since the query_search function returns a list, we will extract the zero-th element: one_cat_url = one_cat[0]

# Call the "image_search" function - search by image: # pass the link to the found image through the "url" parameter # set limit to 10 similar_cats = parser.image_search(url=one_cat_url, limit=10)

The search result is a list of url to similar cats:

1. In addition to the limit parameter, you can use parameters such as:

• delay — the delay time between requests (in seconds)
• size — the size of the images
• orientation — the orientation of the images
• image_type — the type of the images (photo, illustration, etc.)
• color — color
• image_format — the format of the images (jpg, png, gif)
• site — the site where the images are located

For example, if you need to find 128 paintings of famous painters in png format, use this code:

paintings = parser.query_search(query="paintings of famous painters", limit=128, image_format=parser.format.png)

And this code finds 30 b/w face images, with a vertical orientation, medium size, and jpg format.

faces = parser.query_search(query="face", limit=30, size=parser.size.medium, color=parser.color.gray, image_type=parser.image_type.face, image_format=parser.format.jpg, orientation=parser.orientation.vertical)

Sometimes, during a complex search, the results may contain duplicate images (with the same URL). To remove such URLs in advance, there is a special function called remove_duplicates() in utils.py.

from utils import remove_duplicates

Remove duplicate URLs from the paintings list:

paintings = remove_duplicates(paintings)

Import the save_images() function from utils:

from utils import save_images

We will pass to the function a list of urls and the path by which we want to save the images:

save_images(urls=paintings, dir_path="./images/paintings")

If you have any suggestions or feedback, feel free to contact me by email or via telegram!

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Simple and flexible image parser from Yandex Images

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yamager 1.1.1

Yamager — Simple module for parsing images from Yandex and Google.

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Лицензия: MIT License

Требует: Python >=3.6

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Yamager — Simple module for parsing images from Yandex and Google.

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Лицензия: MIT License

Требует: Python >=3.6

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Python-модуль для парсинга фото с Яндекс.Картинок

Ulbwaa/YandexImagesParser

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Python-модуль для парсинга фото с Яндекс.Картинок

Для работы Вам нужно установить или скачать модуль. Установить модуль можно двумя способами:

$ git submodule add https://github.com/Ulbwaa/YandexImagesParser 

$ git clone https://github.com/Ulbwaa/YandexImagesParser 

Для удобной работы рекомендуется использовать первый способ.

$ pip install -r requirements.txt 

from ImageParser import YandexImage parser = YandexImage() print(parser.about, parser.version)

>>> Yandex Images Parser 1.0-release 

Поиск фото по ключевому слову

from ImageParser import YandexImage parser = YandexImage() for item in parser.search("Hello world!"): print(item.title) print(item.url) print(item.preview.url) print("(", item.size, ")", sep='')

>>> Hello world! - SYNDICATE >>> https://access.viasyndicate.com/wp-content/uploads/helloworld.jpg >>> https://im0-tub-ru.yandex.net/i?id=f4c8a1308fd44579344172c874f228a4&n=13 >>> (1900*800) 

Возвращаемые параметры функцией YandexImage.search

YandexImage.search возвращает список элементов, имеющих следующие параметры:

• Заголовок материнского сайта — self.title (Сокращается до определенного количества символов)
• Описание материнского сайта — self.description (Сокращается до определенного количества символов)
• Домен материнского сайта — self.domain
• URL полноразмерного изображения — self.url
• Ширина полноразмерного изображения — self.width (В пикселях)
• Высота полноразмерного изображения — self.height (В пикселях)
• Размер полноэкранного изображения — self.size (Вид: 1280*720)
• URL сжатого изображения — self.preview.url
• Ширина сжатого изображения — self.preview.width (В пикселях)
• Высота сжатого изображения — self.preview.height (В пикселях)
• Размер сжатого изображения — self.preview.size (Вид: 1280*720)

Для получения информации в формате dict используйте self.__dict__

Для фильтрации поиска вы можете использовать следующие функции:

from ImageParser import YandexImage parser = YandexImage() for item in parser.search("Hello world!", sizes=parser.size.large): print(item.title) print(item.url) print(item.preview.url) print("(", item.size, ")", sep='')

Возвращаемые параметры функцией YandexImage.size

Для получения информации в формате dict используйте self.__dict__

В будущем будут добавлены и другие фильтры.

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Python-модуль для парсинга фото с Яндекс.Картинок

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