High-Performance Email Scraping & Lead Generation Tool -- 2
Budget: $30 – $250 USD
Project Title
Custom Lead Generation & Email Scraper Tool (Google, Yellow Pages, & B2B Directories)
Project Description
I am looking for an experienced developer to build a robust, high-performance Email Scraping & Lead Generation Tool. The goal is to extract business emails from companies in the Technology/Computer sector located in Germany, Switzerland, and the Netherlands.
Key Features Required:
Multi-Source Scraping: The tool must be able to pull data from:
Google Search & Google Maps (using keywords like "IT Services Berlin," "Software House Amsterdam," etc.).
Yellow Pages / Gelbe Seiten (Germany), Local.ch (Switzerland), and Telefoonboek.nl (Netherlands).
Company Websites: The ability to crawl a company's website found in search results to find "Contact" or "About Us" pages and extract valid email addresses.
Targeted Filtering:
Industry: Computers, IT, Technology, and Hardware.
Geography: Germany (DE), Switzerland (CH), and Netherlands (NL).
Data Fields to Extract:
Company Name
Website URL
Primary Email Address (Must have a validation check to avoid "dead" emails)
Phone Number (Optional but preferred)
LinkedIn Profile URL (Optional but preferred)
Export Functionality: Capability to export data into CSV or Excel format.
Anti-Blocking Measures: Use of rotating proxies or delays to ensure the scraper isn't blocked by Google or directories.
Technical Requirements:
Preference for Python (Selenium, Scrapy, or BeautifulSoup) or a dedicated desktop application.
User-friendly interface (even a simple CLI is fine, but a GUI is a plus).
Fast processing speed with the ability to handle bulk keyword lists.
Custom Lead Generation & Email Scraper Tool (Google, Yellow Pages, & B2B Directories)
Project Description
I am looking for an experienced developer to build a robust, high-performance Email Scraping & Lead Generation Tool. The goal is to extract business emails from companies in the Technology/Computer sector located in Germany, Switzerland, and the Netherlands.
Key Features Required:
Multi-Source Scraping: The tool must be able to pull data from:
Google Search & Google Maps (using keywords like "IT Services Berlin," "Software House Amsterdam," etc.).
Yellow Pages / Gelbe Seiten (Germany), Local.ch (Switzerland), and Telefoonboek.nl (Netherlands).
Company Websites: The ability to crawl a company's website found in search results to find "Contact" or "About Us" pages and extract valid email addresses.
Targeted Filtering:
Industry: Computers, IT, Technology, and Hardware.
Geography: Germany (DE), Switzerland (CH), and Netherlands (NL).
Data Fields to Extract:
Company Name
Website URL
Primary Email Address (Must have a validation check to avoid "dead" emails)
Phone Number (Optional but preferred)
LinkedIn Profile URL (Optional but preferred)
Export Functionality: Capability to export data into CSV or Excel format.
Anti-Blocking Measures: Use of rotating proxies or delays to ensure the scraper isn't blocked by Google or directories.
Technical Requirements:
Preference for Python (Selenium, Scrapy, or BeautifulSoup) or a dedicated desktop application.
User-friendly interface (even a simple CLI is fine, but a GUI is a plus).
Fast processing speed with the ability to handle bulk keyword lists.
Related categories:
PHP
Web Scraping
Software Architecture
Data Mining
Scrapy
Data Extraction
BeautifulSoup
Selenium