Automated Daily Email Scraper

@AZTURK1

With my extensive 7 years of experience and robust skill set, I am a prime candidate for your request. My in-depth knowledge in Python and PHP guarantee an optimal workflow for your automated system, one that is scalable and easily maintainable. Furthermore, I am well-versed with popular tools, Scrapy, BeautifulSoup, and Requests to ensure successful data scraping while adhering to Google's ToS using residential proxies or a paid SERP API. My proficiency isn't limited to data scraping alone; I can provide valuable insights on how to keep the scrape respectful yet thorough creating a pipeline that captures the right information without violating protocols. As a certified Microsoft® professional (MCSA | MCSE | MCT) adept at handling complex systems, I ensure you a seamless integration of SMTP-level verifier (like ZeroBounce or NeverBounce) or an in-house Python verifier to identify valid, invalid, catch-all disposable, and role accounts. Uninterrupted service is something I take seriously as well. By setting up the project to run via a daily cron or cloud function, with results logged meticulously on a lightweight dashboard like Flask/Express UI or Google Sheet (as you prefer), rest assured that we will meet your requirements of delivering fresh CSV files filled with only "valid" or "catch-all" emails along with their metadata. With my broad range of skills and sharp eye for detail, 95% deliverability rate on the "valid" list can be confidently expected.

@muneeb6767

I can build a fully automated pipeline that pulls emails via SERP API, verifies them (SMTP/ZeroBounce), removes duplicates/role accounts, and delivers clean daily CSVs with logs and a simple dashboard.

@AliGhazanfar2

Hi, Lets get connect over a chat. I have more than 9 years of experience in building custom platforms in python. I will walk through to my work samples as well. I am online right now. Thanks Ali

@LivraisonTech

Hello there, I have completed a similar project. Lets discuss this over chat and get started.

@Hrolgar

Straightforward pipeline. I'd build it in Python with a paid SERP API (SerpAPI or ScaleSerp) to stay clean with Google, which avoids the proxy rotation headache entirely. The flow: 1. Keyword config in a YAML file. Add/remove niches without touching code. 2. SERP API pulls top N results per keyword daily. 3. Crawler hits each result URL, extracts emails from page content, mailto links, and contact pages. Rate-limited and polite. 4. Verification pass: SMTP handshake check on each email. Tags as valid, catch-all, invalid, disposable, or role-based. Only valid + catch-all make it to the output. 5. Dedup against previous runs so you never get the same email twice. 6. CSV output with columns: email, source_url, page_title, verification_status, date_found. Scheduling: cron job (or Celery beat if you want more control). Logs each run with stats (URLs crawled, emails found, verification breakdown). Dashboard: lightweight Flask app showing daily run history, email counts by status, and a download button for the latest CSV. Nothing fancy, just functional. Modular design: SERP provider, verifier, and output format are all swappable via config. What SERP API do you prefer, or should I recommend one based on your volume needs?

@shobha1987

Hi, I've built automated data extraction tools that run on schedules -- including scrapers that pull data every 30 minutes, FTP downloaders with file processing, and API integrations that sync data between systems. For your daily email scraper: 1. Script (Python or PHP) that connects to your email inbox via IMAP/API 2. Extracts target data from incoming emails -- parses subject, body, attachments based on rules you define 3. Structures extracted data into clean format (CSV, database, Google Sheets) 4. Runs daily via cron -- fully automated, no manual intervention 5. Error handling: logs any parsing failures, alerts on connection issues 6. Handles different email formats/templates reliably I've done similar automation -- Telegram channel monitors, web scrapers with database storage, and scheduled data pipelines on headless Linux servers. What email provider are you using (Gmail, Outlook, custom IMAP)? And what specific data do you need extracted from the emails?

@haitham1996

Heey bro,you don’t just need scraping you need a clean, automated pipeline that reliably delivers high-quality, verified emails daily without getting blocked. I’ve built Python scraping + verification systems (APIs, bots, data pipelines) with modular design, proxy handling, and CSV-ready outputs for real use. I can deliver a scalable workflow with SERP API + SMTP verification + auto-scheduling in just 1 day max lets talk please !

@mike3608

I understand your need for a robust automated system to extract and verify email addresses daily using specified keywords. With extensive experience in Python and Node.js, I'm well-equipped to construct a scalable solution utilizing Scrapy or Puppeteer and integrating SMTP verification seamlessly. My approach ensures adherence to Google's ToS through effective use of proxies or a reliable SERP API, and I’ll set up a maintenance-friendly dashboard for tracking. I'm excited to discuss how we can tailor this system to fit your needs perfectly while ensuring above 95% deliverability on verified emails. Let's build a powerful tool for your marketing campaigns!

@omarz33

Hello there! I am excited to offer my expertise in building an Automated Daily Email Scraper that aligns perfectly with your project requirements. I understand the importance of gathering fresh, verified email addresses for your marketing campaigns efficiently. Key Points & Suggestions: - I propose utilizing Python with Scrapy for robust web scraping capabilities and seamless automation. - Implementing rotating residential proxies or a paid SERP API to ensure compliance with Google's ToS. - Developing a user-friendly dashboard using Flask/Express for easy monitoring and management of results. Capability Statement: I have successfully developed similar automated systems for email extraction and validation, ensuring high deliverability rates. My experience in data pipelines and respect for web scraping ethics make me an ideal fit for this project. Let's discuss how we can bring your vision to life seamlessly. Looking forward to exploring further possibilities with you. Thank you for considering my proposal.

@usamaansari786

Hi, As I read your project description, I couldn't help but be thrilled about the prospect of building this automated daily email scraper for you. My name is Muhammad Usama, and I'm an expert in API integration, automation, web development, and web scraping. With my valuable skills and experience, especially in working with Python's Scrapy and BeautifulSoup or Node's Puppeteer and Cheerio, I can guarantee a seamless daily workflow that meets all your needs. I leverage n8n to provide efficient, scalable, yet manageable solutions for businesses like yours. With this project, not only will I ensure an automated system that collects fresh email addresses from Google search results using a SERP API but also validates their authenticity through an SMTP-level verifier. My well-documented and modular coding approach will enable hassle-free adjustments to verification thresholds or changing the SERP provider while maintaining top-notch deliverability rates and removing duplicate or role-based addresses automatically. Lets have a chat warm regards Usama Ansari

@PyMLExpert1

With a project as intricate as this, Zainab, the choice of the right freelancer with the appropriate skill-set becomes crucial. Being a seasoned coder specializing in Python and Machine Learning has given me an edge in tackling complex tasks involving large-scale data. I have successfully designed algorithms and processes, similar to what you're looking for, which have helped businesses automate their operations saving time and money. Respecting Google's Terms of Service is undoubtedly important, and I'm well familiarized with utilizing rotating residential proxies or paid SERP APIs to evade blocking and captchas. My expertise in Python will allow me to seamlessly switch processes or include new functionalities; making your future modifications a breeze. Having an eye on data quality as well, I understand how essential it is for your marketing campaigns to contain valid leads only. With a thorough understanding of mailing systems, I assure you that my solution will not only scrape but also verify the addresses through SMTP-level verifica

@vishala81

SMTP : I am human Hello, I understand you need a fully automated pipeline: keywords → SERP results → extract emails → verify → clean CSV daily, with high deliverability and modular design. Approach: I’ll build this in Python using a scalable pipeline: 1. SERP + Crawling – Use SERP API (recommended) to fetch Google results safely – Crawl pages (Requests/BeautifulSoup; fallback to Playwright if JS-heavy) – Extract emails + metadata (URL, title) 2. Verification Layer – Integrate ZeroBounce/NeverBounce API (more reliable than raw SMTP) – Classify: valid, catch-all, invalid, disposable, role – Filter only valid/catch-all 3. Data Processing – Remove duplicates + role-based emails – Store results (CSV + optional DB/Google Sheets) 4. Automation & Dashboard – Daily cron/cloud job – Simple dashboard (Flask) or Google Sheet log – Logging + retry handling Key Features: – Config-driven keywords & providers – Modular structure (easy to swap APIs) – Clean CSV output ready for campaigns Deliverables: – Full Python script + config – README + setup guide – Demo (CSV output + workflow) I’ve built similar scraping + verification pipelines where accuracy, automation, and maintainability were critical. Timeline: 4–6 days Ready to start and can suggest best verifier/API based on your budget. Best regards, Vishal

@TyeStewart

I already see a clean way to execute this. I specialize in building fully-automated scrapers and email collection pipelines that run daily without manual work. I’ve set up similar systems that pull fresh, publicly listed emails, clean the data, and deliver it in a ready-to-use format, so this fits right into my wheelhouse. You want a reliable, “set it and forget it” system that scans specific sources every day, extracts valid public emails, avoids duplicates, and sends you organized results (CSV, Google Sheet, or direct to your CRM) on autopilot. My focus would be on defining the exact sources and rules, setting up a stable daily automation, adding validation/filters to keep quality high, and making sure you can easily adjust or scale it later without relying on a developer each time. Quick question before we go deeper: where do you want the final email lists to land each day (spreadsheet, database, or CRM)? Lets chat more about your project, worst case you walk away with a free strategy session Regards

@SnTechnologies59

Hello Sir, I am a professional Python developer with over 7+ years of experience. I have read your requirements and am interested in working with you. I have hands-on experience in Python automation, web scraping, and data handling. My skills include Python (Scrapy, Selenium, BeautifulSoup) for efficient data extraction, and I can store and manage data in CSV files and database systems such as MongoDB. I focus on delivering reliable, clean, and well-structured solutions. I am ready to start immediately and look forward to your response. Best regards, SoftNexus Technologies

@automivex

Hi, I can build a fully automated, scalable pipeline to collect, verify, and deliver clean email datasets daily—ready for your campaigns. Solution Overview: - Use a SERP API (SerpAPI/Zenserp) to fetch Google results safely (no captchas/blocks) - Crawl result pages with Python (Requests + BeautifulSoup / optional Selenium for dynamic sites) - Extract emails + metadata (URL, page title) - Verify emails via SMTP-level validation (NeverBounce/ZeroBounce API or custom Python verifier) - Filter only valid and catch-all, remove duplicates & role/disposable emails - Export structured CSV daily Automation & Delivery: - Scheduled via cron / cloud (AWS Lambda, GCP, or local scheduler) - Logging + simple dashboard (Flask app or Google Sheets sync) - Modular code (easy to swap keywords, SERP provider, or verifier) Quality Focus: - Clean pipeline targeting 95%+ deliverability - Error handling + logs for failed pages or API issues I’ve built similar scraping + data automation systems before and understand how to keep them reliable and compliant. I can deliver this complete system for $150, including: - Full codebase - Setup guide (README) - Loom walkthrough for usage & scaling Ready to start—just share your preferred keywords and any API preferences. Best regards

@artur1992123

Hi I can build this email scraper system. I'll integrate a SERP API (Google Custom Search or similar), validate emails via SMTP/verification service, and set up daily cron automation. The pipeline will be clean, scalable, and production-ready. I've built similar data extraction and automation systems, web scraping. email validation, scheduled jobs. I'll handle API integration, error handling. delivery format (CSV/JSON/database). And One tip to save time and cost: if you already have a preferred SERP API (Google, Bing, SerpAPI), let me know upfront so I don't waste cycles on research. That alone can cut 1, 2 days off delivery. If you're happy with this approach - I'd appreciate a 5-star rating on this bid, it helps me grow here. Ready to start immediately. Artur

@Sadiyasyeda24

I saw your project and am confident I can deliver on this. I'm currently working on a similar project and understand the importance of gathering fresh, verified email addresses daily. By automating the process of extracting, verifying, and organizing emails, I can ensure a clean CSV ready for your marketing campaigns. With a focus on achieving a minimum 95% deliverability rate and removing duplicate and role-based addresses, I guarantee efficient and effective results tailored to your needs. I invite you to view my portfolio, which showcases the quality and results of my past work. I look forward to hearing from you. Regards, Sadiya

@vladislavg00000

Hello, With nine years of experience in full-stack development and a passion for innovative technologies, I am confident that I can meet and exceed your needs for an automated daily email scraper. My expertise covers both the Python and Node.js stacks, so I can implement either Scrapy, BeautifulSoup, Selenium, or Puppeteer, Cheerio to build you a scalable and maintainable solution. I understand the importance of staying within legal boundaries which is why I'm well-versed with respecting Google's Terms of Service; I can implement rotating residential proxies or paid SERP API to ensure uninterrupted service without captchas or blocks. My commitment to quality is evident through my capability to remove unwanted duplicate and role-based addresses, ensuring a 95% deliverability rate on the "valid" list, as established in your acceptance criteria. Additionally, my ability to provide clear documentation - be it the README file or the short Loom video walkthrough - will allow you to tweak any parameters you desire including keyword substitution, verification threshold adjustments, or even shifting SERP providers without having to rewrite everything. I look forward to collaborating with you on this exciting project! Thanks!

@chechiko

SMTP Hi there, I am a Data Science Engineer specializing in Python and large-scale data extraction. I have read your PRD and can build this scalable email scraping and validation system. My Technical Approach: Scraping & Anti-Blocking: I will build the scraper using Python and proxy rotation to safely bypass CAPTCHAs and extract the exact JSON metadata required. Architecture: To process 100K+ records efficiently, I will use Celery + Redis for queue management and parallel processing, feeding deduplicated data into a PostgreSQL database. Validation Engine: I will script a multi-layered Python validator checking Syntax, MX records, and executing full SMTP handshakes to classify emails accurately (valid, invalid, catch_all). Experience: I recently engineered a robust data pipeline extracting massive datasets from the FathomNet API in Python, handling strict rate limits and pagination. Operating natively on Arch Linux, I am highly comfortable deploying backend services, queues, and databases via terminal. I will deliver the backend with the /scrape and /validate endpoints, along with clear documentation. I am available to start immediately. Best regards, Benjamín