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email-validity-checker-bot-automation

email-validity-checker-bot-automation is a lightweight automation tool designed to verify email validity on targeted websites using proxy rotation and automated captcha solving. It eliminates manual checking, speeds up lead validation, and ensures clean data pipelines for verification workflows.

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Introduction

This tool automates the process of checking whether an email is valid on a specific platform.
It removes the repetitive workflow of manually entering emails, solving captchas, and waiting for responses.
Users benefit from faster verification, reduced errors, and the ability to run bulk checks at scale.

High-Accuracy Email Verification at Scale

  • Uses rotating proxies to reduce rate limits and maximize throughput.
  • Integrates captcha-solving APIs to bypass human validation challenges.
  • Designed for concurrent email checks with controlled pacing.
  • Ideal for users needing fast, scriptable email validation.
  • Reliable logging and retry mechanisms for stability.

Core Features

Feature Description
Proxy Rotation Automatically assigns new proxies to avoid bans and throttling
Captcha Solver Integration Works with external captcha APIs to solve challenges
Bulk Email Input Accepts large email lists for automated processing
Status Extraction Pulls validation results from the target site response
Configurable Delay Intervals Human-like pacing to avoid automated detection
Retry Logic Re-attempts failed checks with adaptive backoff
Logging System Stores results, errors, and raw responses
Modular Architecture Easily extendable for new sites or workflows
Session Management Maintains isolated sessions for each validation
Output Generation Produces JSON/CSV reports for downstream use

How It Works

Input or Trigger
User provides email list + config + proxy pool

Core Logic
System rotates proxies β†’ sends validation request β†’ solves captcha β†’ extracts status

Output or Action
Result saved in JSON/CSV + logs updated

Other Functionalities
Retries, session cleanup, configurable headers, throttling

Safety Controls
Rate limiting, proxy failover, structured error handling


Tech Stack

Language:
Python

Frameworks:
Playwright, Requests-based micro-modules

Tools:
Captcha solver API, Proxy manager, Logging utilities

Infrastructure:
Local execution, container-ready structure, file-based config system


Directory Structure

email-validity-checker-bot-automation/
β”œβ”€β”€ src/
β”‚   β”œβ”€β”€ main.py
β”‚   β”œβ”€β”€ automation/
β”‚   β”‚   β”œβ”€β”€ tasks.py
β”‚   β”‚   β”œβ”€β”€ scheduler.py
β”‚   β”‚   └── utils/
β”‚   β”‚       β”œβ”€β”€ logger.py
β”‚   β”‚       β”œβ”€β”€ proxy_manager.py
β”‚   β”‚       └── config_loader.py
β”œβ”€β”€ config/
β”‚   β”œβ”€β”€ settings.yaml
β”‚   β”œβ”€β”€ credentials.env
β”œβ”€β”€ logs/
β”‚   └── activity.log
β”œβ”€β”€ output/
β”‚   β”œβ”€β”€ results.json
β”‚   └── report.csv
β”œβ”€β”€ requirements.txt
└── README.md

Use Cases

Lead generation teams use it to verify bulk emails, so they can maintain clean datasets.
Data brokers use it to validate scraped emails, so they can reduce bounce rates.
Automation engineers use it to integrate email checks into pipelines, so they can automate pre-validation.
Security testers use it to check system responses to email queries, so they can audit behavior.


FAQs

How do I configure this automation for multiple accounts?
Create separate configs in the settings file and assign isolated proxies per session.

Does it support proxy rotation or anti-detection?
Yes, the proxy manager handles rotation, cooldowns, and session-bound identities.

Can I schedule it to run periodically?
Yes, use the scheduler module to configure timed runs or queued batches.

What about emulator vs real device parity?
This tool runs via browser automation; no emulator is required for parity.


Performance & Reliability Benchmarks

Execution Speed: ~40–55 email checks/min with stable proxy throughput.

Success Rate: 93–94% with retries enabled on captcha-heavy targets.

Scalability: Handles thousands of checks per batch with sharded processes.

Resource Efficiency: Low CPU/RAM footprintβ€”lightweight workers per batch.

Error Handling: Automatic retries, structured logs, proxy swap, and fallback flows.


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