A scrapy pipeline that provides an easy way to store files and images using various folder structures.

Overview

scrapy-folder-tree

build PyPI GitHub license PyPI - Format PyPI - Status Code style: black Checked with mypy Imports: isort

This is a scrapy pipeline that provides an easy way to store files and images using various folder structures.

Supported folder structures:

Given this scraped file: 05b40af07cb3284506acbf395452e0e93bfc94c8.jpg, you can choose the following folder structures:

Using file name

class: scrapy-folder-tree.ImagesHashTreePipeline

full
├── 0
.   ├── 5
.   .   ├── b
.   .   .   ├── 05b40af07cb3284506acbf395452e0e93bfc94c8.jpg
Using crawling time

class: scrapy-folder-tree.ImagesTimeTreePipeline

full
├── 0
.   ├── 11
.   .   ├── 48
.   .   .   ├── 05b40af07cb3284506acbf395452e0e93bfc94c8.jpg
Using crawling date

class: scrapy-folder-tree.ImagesDateTreePipeline

full
├── 2022
.   ├── 1
.   .   ├── 24
.   .   .   ├── 05b40af07cb3284506acbf395452e0e93bfc94c8.jpg

Installation

pip install scrapy_folder_tree

Usage

Use the following settings in your project:

ITEM_PIPELINES = {
    'scrapy_folder_tree.FilesHashTreePipeline': 300
}

FOLDER_TREE_DEPTH = 3
Owner
Panagiotis Simakis
Software Engineer. Passionate with NLP. Data Engineering is my reality. GNU/Linux addict.
Panagiotis Simakis
Web scrapping

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