Web Contact Parser (Scraper) Python Script

Description:

The Python Web Contact Parser & Scraper is a cutting-edge tool crafted meticulously for businesses and data enthusiasts. If you're seeking a reliable solution for site parsing, look no further. This software dives deep into websites, harvesting pivotal contact details such as phone numbers, WhatsApp links, and email addresses. Suited for marketers, business analysts, researchers, and everyone in need of web scraping, this tool streamlines the process, ensuring no contact detail on your list of websites goes unnoticed.

Key Features:

1. Adaptive Protocol Handling: This web scraper is intelligent! It prioritizes fetching URLs with the HTTPS protocol. Should it encounter a hurdle, it seamlessly transitions to the HTTP protocol, epitomizing adaptability.
2. Precision URL Parsing: The Python parser is adept at rectifying and removing problematic URL prefixes, making the scraping journey smooth and efficient.
3. Comprehensive Contact Parsing: Beyond just extracting emails and WhatsApp links, this tool meticulously fetches phone numbers formatted with the tel: tag.
4. CSV Harmony: With a straightforward .csv input for URLs and an organized .csv output for the parsed contacts, data management is a breeze.
5. Error Intelligence: Our contact parser is not just about gathering data—it's proactive. Every hiccup in the scraping process is flagged and logged for user clarity.

Installation Guide:

1. Python Foundation: Ensure Python 3.x graces your system. If it's absent, procure it from Python's official site.
2. Necessary Modules: Gear up your system with indispensable modules via:

   pip install requests beautifulsoup4

3. Script Deployment: Download the 'Python Web Contact Parser & Scraper' and position it conveniently on your digital workspace.

Operating Manual:

1. CSV Configuration: Commence by crafting a .csv titled url.csv. This should encapsulate all URLs you're aiming to parse. Station this file alongside the script.
2. Script Activation: Station yourself in the script's directory using your terminal/command prompt. Summon the script using:

   python parser.py

3. Data Retrieval: Post execution, a fresh file dubbed result.csv emerges. This treasure trove contains all the parsed contact insights.
4. Error Awareness: The Python parser keeps you in the loop. Every step, every URL processed, every potential hiccup—it's all relayed live.

Disclaimer: The realm of web scraping is governed by ethical and legal codes, primarily revolving around data privacy and website terms of usage. Prior to unleashing the scraper, ensure you're backed by necessary permissions, and always respect robots.txt guidelines.