Building Web-Crawler Building a Web-Crawler Software is easy, and helps you take advantage of a data mining software. This document will help guide you through understanding this build process.
## Requirements
BeautifulSoup4, module is needed and can be installed with pip install BeautifulSoup4.
re, module is needed and can be installed with pip install re.
matplotlib, module is needed to plot the graphs for the scatterplot and boxplot.
pandas, module is needed to load the csv data into a dataframe.
2. Web-Crawler, using one of the following configurations: * macOS You can either use Web-Crawler for Mac or See installation instructions. * Linux Install Web-Crawler according to the [instructions] for your OS.
## Overview
While it is possible to build a web-crawler using a local python installation, we have a build process that runs on a local environment. This simplifies initial set up and provides for a very consistent build and test environment.
## Key scripts
The following scripts are found in the build/ directory. Note that all scripts must be run from the Web-Crawler root directory. 1. src/webcrawler/move_csv.sh
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Release files for Final_Project 1.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| Final_Project-1.0.tar.gz | 254.7 kB | Without provenance | Details |
Release files / Final_Project-1.0.tar.gz
| Download URL | Final_Project-1.0.tar.gz |
|---|---|
| Size | 254.7 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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No |
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Python-urllib/3.6
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