A simple image scraper to download all images from a given url
Project description
ImageScraper
============
A simple python script which downloads all images in the given webpage.
Download
--------
tar file:
Grab the latest build using https://pypi.python.org/pypi/ImageScraper
pip install:
$pip install ImageScraper
Usage
-----
+------------------------------------------------------------+
| image-scraper [-h] [--max-images MAX_IMAGES] url_to_scrape |
+------------------------------------------------------------+
Using the tar file:
Extract the contents of the tar file.
Note that ``ImageScraper`` depends on ``lxml``. and ``requests``.
If you run into problems in the compilation of ``lxml`` through ``pip``, install the ``libxml2-dev`` and ``libxslt-dev`` packages on your system.
If you dowload the tar:
======================
$cd ImageScraper/
$python setup.py install
$image-scraper [url to scrap]
If installed using pip:
=======================
Open python in terminal.
$image-scraper [url to scrap]
NOTE:
A new folder called "images" will be created in the same place, containing all the downloaded images.
Upgrading
---------
Check and updates and upgrade using:
$ sudo pip install ImageScraper --upgrade
============
A simple python script which downloads all images in the given webpage.
Download
--------
tar file:
Grab the latest build using https://pypi.python.org/pypi/ImageScraper
pip install:
$pip install ImageScraper
Usage
-----
+------------------------------------------------------------+
| image-scraper [-h] [--max-images MAX_IMAGES] url_to_scrape |
+------------------------------------------------------------+
Using the tar file:
Extract the contents of the tar file.
Note that ``ImageScraper`` depends on ``lxml``. and ``requests``.
If you run into problems in the compilation of ``lxml`` through ``pip``, install the ``libxml2-dev`` and ``libxslt-dev`` packages on your system.
If you dowload the tar:
======================
$cd ImageScraper/
$python setup.py install
$image-scraper [url to scrap]
If installed using pip:
=======================
Open python in terminal.
$image-scraper [url to scrap]
NOTE:
A new folder called "images" will be created in the same place, containing all the downloaded images.
Upgrading
---------
Check and updates and upgrade using:
$ sudo pip install ImageScraper --upgrade
Project details
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ImageScraper-2.0.2.tar.gz
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