URGENT: Targeted Email List Builder Needed (1 million plus list, niche-specific, required)

@imraz2016

HI there i have a Apollo access so easily i can collect 1M valid leads for you so please contact me then i will show you sample, thank you

@salmaakternisa

Hi, With over six years of expertise in high-precision B2B lead generation, I deliver verified, campaign-ready databases using a custom Python-based stack (Selenium/Playwright) for targeted scraping and multi-stage validation. I guarantee sub-5% bounce rates through rigorous verification and strict adherence to CAN-SPAM/GDPR protocols, consistently delivering 1,000–2,000+ qualified leads per week tailored to your specific ICP.

@durranigts

Hello, I can get you 10k leads per week, I'm using Apollo io. Let's connect to discuss the details. Thank you.

@Microlent

I have extensive experience building highly targeted B2B lead databases using automated scraping, data enrichment, and email verification workflows. Rather than collecting generic contacts, I focus on identifying decision-makers that match your ICP with verified, campaign-ready data. One similar project we've completed: https://www.freelancer.com/portfolio-items/11353625-ai-powered-legal-data-pipeline This project involved building a large-scale AI data pipeline that processed and validated thousands of records with over 99% accuracy, demonstrating our expertise in data extraction, validation, automation, and quality assurance. My workflow typically combines LinkedIn research, Apify, Python-based scraping, company websites, Crunchbase, Clearbit, Hunter, NeverBounce, and other enrichment tools to deliver high-quality contact lists. Every record includes First Name, Last Name, Business Email, Job Title, Company, Website, LinkedIn URL, Industry, and Data Source. I also perform de-duplication and multi-stage verification to minimize hard bounces while following CAN-SPAM and GDPR best practices by sourcing only publicly available business information. Depending on the niche and complexity, I can typically deliver 2,000 to 5,000 qualified contacts per week. One quick question: Which industry and geographic market are you targeting for the first campaign? Thanks, Rajesh

@mattafareed4848

Hello I can build a highly accurate, industry-specific B2B decision-maker database with verified business emails, LinkedIn profiles, company details, and documented data sources, targeting fewer than 5% hard bounces. I can typically deliver 1,000–3,000 qualified contacts per week depending on the niche, using trusted enrichment and verification tools while following CAN-SPAM/GDPR best practices and providing a clear methodology for scaling. Regards Muhammad

@samarhabib

Greetings, I'm a full stack developer with 10+ years of experience, I can build a high-quality, verified B2B prospect database using a combination of scraping, enrichment, and email verification tools, delivering clean, campaign-ready contacts with a documented, repeatable workflow. You'll receive a well-structured CSV/Google Sheet with verified business emails, enriched company details, and source attribution, while keeping data quality high and following CAN-SPAM/GDPR best practices. Best regards, Samar H.

@tmoi06

Hello Sir, I can build a highly targeted, verified B2B email database tailored to your ideal customer profile, ensuring every contact is carefully researched, validated, and ready for immediate outreach while maintaining high data quality and compliance. ✅ Why Me? ✔ Strong experience with B2B lead generation, executive research, and industry-specific prospect database creation ✔ Skilled in sourcing decision-makers through LinkedIn, Crunchbase, company websites, and trusted public business directories ✔ Experienced using tools such as Apify, Python-based automation (where appropriate), Hunter, Apollo, Clearbit, NeverBounce, and other verification platforms to improve research efficiency and email deliverability ✔ Careful manual verification process to eliminate duplicates, outdated contacts, and inaccurate company information ✔ Proficient with Excel, Google Sheets, CSV preparation, and CRM-ready database management ✔ 500+ projects completed | 5.0-star rating I build prospect lists using publicly available business information and reputable data sources. I also ensure the data is structured to support compliant B2B outreach practices, including respecting applicable regulations such as CAN-SPAM and GDPR, and avoiding the use of scraped personal data from unauthorized or restricted sources. Best regards, Ayan

@solutionsplayers

As a Full Stack Developer specializing in data management, data mining, and web scraping with remarkable expertise in Node.js, I assure you of building a robust and precise targeted email list for your marketing campaigns. My work strategies revolve around bringing you results while complying with the CAN-SPAM/GDPR regulations. I've got the tools like Apify actors, as well as custom Python or Node-based scrapers in my stack that'll make the job not only faster but also accurate. My six-year experience in database development and management has honed my proficiency to ensure every contact we garner is real, permission-protected, and campaign-ready. Furthermore, I prioritize your ability to replicate or scale the project later; so rest assured I'll deliver your CSV/Google Sheet with all the necessary columns including the crucial data source information you'd need. My specialization in backend systems and cross-platform mobile apps makes me particularly skilled at handling large amounts of data and managing complex backend operations. Tapping into this vast repertoire of skills wouldn't just guarantee efficient delivery of a minimum 1 million plus niche-specific addresses within five percent hard bounce threshold per week, but would allow us to build a long-lasting partnership for your future tech needs. Let's build something great together!

@Eliteinno

Hey, the sub-5% bounce guarantee at B2B scale is actually the hard constraint here, not the volume — most scraped lists hit 15–20% bounce without a two-pass verification step, so I'd run every address through NeverBounce after Hunter enrichment, not before, to avoid paying twice on bad leads. For cross-profiling LinkedIn and Crunchbase into a clean ICP match I'd use Apify actors with Python post-processing to dedupe and tag each row by data source before delivery. The tricky part is keeping the methodology GDPR-defensible when sourcing at this volume, which I've navigated before using publicly-indexed data only with a clear legitimate-interest basis logged per record. Once you share the vertical, what job titles or seniority levels are you targeting?

@mahads31

**If you're looking for quality, clear communication, and a developer who genuinely cares about your project's success, you're in the right place.** I have experience building accurate B2B lead databases using a combination of data scraping, enrichment, and email verification tools to maximize quality while minimizing bounce rates. I'll deliver a well-organized CSV with verified business contacts, including all the fields you've requested, along with a clear methodology explaining the tools and workflow used. My focus is always on data accuracy, compliance, and providing campaign-ready leads that meet your target ICP. Before we get started, I'd like to know your target industry, geographic location, and ideal decision-maker roles, as well as the approximate number of verified contacts you're looking for each week. I'd also like to confirm whether you have preferred enrichment or verification tools, or if you'd like me to recommend the most effective stack for your project. I'm ready to get started immediately and build a high-quality, verified lead database tailored to your campaign goals.

@FizzaNadeemK

Hi, a campaign only works when the data behind it is accurate, traceable, and compliant, otherwise even the best messaging ends up burning domains instead of generating leads. The emphasis on B2B decision makers with verification and enrichment across multiple sources shows this is less about scraping volume and more about building a clean, structured pipeline that can actually pass validation tools like NeverBounce without inflating bounce rates. I build similar structured automation workflows using tools like n8n and verified enrichment steps, where every contact is sourced, cross-checked, and filtered before it ever reaches a CSV stage for outreach use. Before estimating weekly volume, what specific vertical and geographic scope are you targeting so the compliance rules and sourcing strategy can be aligned correctly from the start? Best regards, Fizza Nadeem K

@mahrsaad211

Hello dear, I can build a highly targeted B2B decision maker email database for your specific niche and ICP, with verified business emails, LinkedIn profiles, company details, and complete source tracking. I understand that data accuracy, low bounce rates, and compliance are key requirements for your campaigns. I can deliver a clean CSV/Google Sheet with all requested fields, maintain email verification to keep hard bounces below 5%, and provide a clear methodology document explaining the tools and process used. I can also discuss expected weekly lead volume and CAN-SPAM/GDPR compliance. Let's discuss your niche and ICP to get started. Best Regards, Muhammad Saad.

@jignesh06

With my extensive experience in web development and artificial intelligence, I am well-equipped to tackle your targeted email list-building project. Drawing on 12+ years of expertise, I have the skills to craft an automated system using intelligent agents empowered by both Large Language Models (LLMs) and next-gen Large Concept Models (LCMs), that will rapidly and accurately mine valuable and GDPR/CAN-SPAM compliant data. navigationOptions

@nemanjam61

hello, I’ve reviewed your requirement for a niche - specific b2b email database and understand you need a high-accuracy, campaign-ready list with validated contacts including name, role, company, email, LinkedIn, and industry tagging, built in a way that maintains compliance with can - spam and GDPR standards. I will build a structured data pipeline using Python with enrichment layers ( linkedIn / company matching + API - based validation like hunter or neverbounce) to ensure low bounce rates and high-quality targeting. The focus will be on precision filtering rather than volume-only scraping, ensuring each lead matches your ICP before inclusion. I’ve worked on similar b2b lead generation systems where data quality, deduplication, and verification were critical, and I handle this by layering multiple validation checks before final output. I would like to confirm your exact niche, target regions, and preferred enrichment tools so I can tune the extraction logic accordingly. Ready to deliver a scalable, compliant, and high-accuracy lead generation pipeline.

@arturg6

Hello, You need an industry-specific email database of B2B decision makers that’s ready for campaign launch. I’ll run parallel Scrapy crawlers on LinkedIn and Crunchbase, store raw profiles in MongoDB, then enrich via Clearbit API, and finally verify emails with NeverBounce in a batch queue so the overall pipeline stays under 200 ms per record, keeping hard‑bounce rates below 5 %. To stay compliant with CAN‑SPAM and GDPR I’ll filter out any contacts lacking explicit consent, hash personal data at rest, and include an opt‑out column in the export. Duplicate leads across sources will be deduped by email hash before enrichment. Which vertical and ICP criteria should I prioritize for the first batch of contacts? Looking forward to working with you. Artur Giżycki

@Lazarone1

IN ONLY ONE DAY!!! hi! there. b2b lead databases often become useless when scraped contacts are outdated, role mismatched, or poorly verified which leads to high bounce rates and weak campaign performance. another major issue is compliance risk when enrichment and sourcing are handled carelessly. i can build a highly targeted verified database with clean enrichment workflows, multi source validation, and reliable email verification methods that keep bounce rates low and campaigns safe to scale.

@mobiwebsolutions

✋ Hi There!!! ✋ THE PROJECT GOAL: The Goal of the project:- Build a large, verified, niche-specific B2B email database with accurate, compliant, and campaign-ready leads for targeted marketing campaigns. I carefully read your complete project description and understand you need a high-quality, verified email list with enriched data fields, low bounce rate, clear sourcing, and compliance with CAN-SPAM and GDPR standards. With 9+ years experience as a full stack developer, I can deliver accurate, structured, and scalable data solutions. * Build targeted lead lists using Python, Node.js, web scraping, LinkedIn and Crunchbase data extraction with testing and validation. * Perform email verification using tools like Hunter or NeverBounce, ensuring database management and clean CSV/Google Sheets output. * Deliver full source methodology, structured dataset, and documentation with compliance-focused data collection approach. I have successfully completed B2B lead generation, data scraping, and verified email database projects for marketing campaigns. Looking forward to chat with you for make a deal Best Regards Elisha Mariam!

@aleksandarm47

I am a data-focused lead generation specialist with strong experience building B2B prospecting systems that combine scraping, enrichment, and verification into scalable pipelines. I’ve worked on projects involving LinkedIn-based extraction, company data aggregation, and email validation workflows designed for high deliverability campaigns. My approach prioritizes clean data structure, compliance, and accuracy so the final output is immediately usable for outreach. I’m comfortable working across Python, Node.js, and automation tools to quickly adapt to any niche or ICP. I would build a scraping and enrichment pipeline using tools like Apify along with custom Python/Node scripts to collect targeted B2B contacts from LinkedIn, company sites, and public databases. The data would be enriched using services like Clearbit and cross-checked with sources such as Crunchbase to ensure accuracy. Every email would be verified through tools like Hunter and NeverBounce to keep bounce rates below 5%. Final output would be delivered as a structured CSV or Google Sheet with full metadata and source tracking.

@rbtech1984

Hi There!!! ★★★★ (I'll build a high-quality, niche-targeted B2B contact database with verified business emails and a scalable, compliance-conscious workflow.) ★★★★ I’ve read your project carefully and understand you need a large, industry-specific B2B email database for targeted marketing campaigns. The focus is on accuracy, verified business contacts, low bounce rates, and a documented process that can scale as your campaigns grow. ⚜ Targeted B2B lead research ⚜ Business email verification ⚜ CSV & Google Sheets delivery ⚜ Company & LinkedIn enrichment ⚜ Data quality & deduplication ⚜ Scalable collection workflow ⚜ Methodology documentation I’ve worked on lead generation and data enrichment projects using Python-based automation together with trusted verification workflows to improve data quality. I'll deliver well-organized, deduplicated records with the requested fields and explain the collection process clearly. I always prioritize data accuracy and compliance-aware practices so the final dataset is reliable and campaign ready. I’d love to discuss your niche and expected weekly volume. Warm Regards, Farhin B.