#UPDATE MARCH 2019# Fixes: -> Phone Number Extraction Fixed

New Features: -> Page Number Argument Added, Run the Command With Different Page Numbers And Result Will Be Added In A Single File.

#UPDATE CREDIT: ABBAS#

Yellow Pages Business Details Scraper

Yellowpages.com Web Scraper written in Python and LXML to extract business details available based on a particular category and location.

If you would like to know more about this scraper you can check it out at the blog post 'How to Scrape Business Details from Yellow Pages using Python and LXML' - https://www.scrapehero.com/how-to-scrape-business-details-from-yellowpages-com-using-python-and-lxml/

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

Fields to Extract

This yellow pages scraper can extract the fields below:

1. Rank
2. Business Name
3. Phone Number
4. Business Page
5. Category
6. Website
7. Rating
8. Street name
9. Locality
10. Region
11. Zipcode
12. URL

Prerequisites

For this web scraping tutorial using Python 3, we will need some packages for downloading and parsing the HTML. Below are the package requirements:

• lxml
• requests

Installation

PIP to install the following packages in Python (https://pip.pypa.io/en/stable/installing/)

Python Requests, to make requests and download the HTML content of the pages (http://docs.python-requests.org/en/master/user/install/)

Python LXML, for parsing the HTML Tree Structure using Xpaths (Learn how to install that here – http://lxml.de/installation.html)

Running the scraper

We would execute the code with the script name followed by the positional arguments keyword and place and Page. Here is an example to find the business details for restaurants in Dallas,TX

python3 yellow_pages.py restaurants Dallas,TX 1

Sample Output (Does Not Include Result Of New Feature)

This will create a csv file:

Sample Output