How To Create an Email Crawler With Python and Scrapy

How To Create an Email Crawler With Python and Scrapy

Contact details are not easy to come by. That’s why there are countless businesses offering targeted contact details for businesses and individuals, such as ZoomInfo, Uplead, and LinkedIn Sales Navigator.

Contact details are not easy to come by. That’s why there are countless businesses offering targeted contact details for businesses and individuals, such as ZoomInfo, Uplead, and LinkedIn Sales Navigator.

You may have a list of domains that are businesses you would like to target. There are solutions such as Hunter.io or FindThatLead that convert domains to emails and other contact details, but these come at a cost.

So if you know or would like to learn Python, why not build something yourself?

Granted, it may not be as advanced as the solutions I outlined, but a good crawler can do a good job of fetching contact details such as emails or phone numbers that are on a company’s website.

We will be using Python (3.6+) and scrapy to build this small project.

## If you need to install scrapy use: pip install scrapy
scrapy startproject contact_details 
cd contact_details
scrapy genspider gather_details example.com

We start by creating a new scrapy project named contact_details and generating a new spider under the domain example.com (we will change that later).

The spider we generated looks like this:

# -*- coding: utf-8 -*-
import scrapy


class GatherDetailsSpider(scrapy.Spider):
    name = 'gather_details'
    allowed_domains = ['example.com']
    start_urls = ['http://example.com/']

    def parse(self, response):
        pass

web-scraping data-science python programming

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