500k Contact Email Scrape

@rabbiawebjuggler

I understand your need for an experienced data analyst to efficiently fulfill your desire of getting a high-quality and well-structured database for B2B contacts. My name is Rabbia, and I have commendable expertise in web scraping, web search, product listing and MS applications which will greatly assist in putting together the detailed database you require. To ensure accuracy and reliability, I propose using a powerful combination of various industry-leading email verification tools such as Hunter, NeverBounce, ZeroBounce etc. Not only will this filter out any invalid or duplicate email addresses but also guarantees you a bounce-free list. As a data analyst with great attention to detail, I plan to meticulously verify and deduplicate every record before delivering the final CSV / Excel file to you. With my in-depth knowledge in SEO and ranking products plus my proficiency in numerous internet research techniques, I guarantee not only 500K genuine IT and technical employees’ contact but also an organised representation complete with company names, job titles and verified email addresses. May I have your project? The structured turnaround time would depend on data availability but rest assured that it will be executed responsibly and efficiently.

@belalihabibullah

Hi, I can build a clean, deduplicated database of 500,000 genuine IT and technical professionals with Company Name, Job Title, and Verified Email. I have experience with large-scale B2B data research, LinkedIn/Sales Navigator, Apollo, Hunter, NeverBounce, and ZeroBounce. I recommend starting with a 5,000-record pilot to validate targeting, freshness, and deliverability before scaling. I’ll verify emails, remove duplicates and invalid records, and replace failed contacts where required. Estimated turnaround for the full dataset: 3–5 weeks, depending on the final criteria and verification requirements. I can provide progress in milestone- ased batches. Best regards, MD

@w3saddam

Hello, I can build and maintain a clean, structured database of IT and technical professionals using reliable public sources, with strong attention to accuracy, verification, and deduplication. I’ll organize the data into CSV/Excel with company name, job title, and verified business email, while standardizing records and checking email/domain validity before delivery. I recommend starting with a 1,000–5,000-contact pilot to confirm quality and bounce rates before scaling toward 500,000 records. I’m detail-oriented, experienced with large-scale data research, and can provide clear milestones and progress updates throughout the project. Best regards, Saddamhossen8745@gmail

@brashel

Hello, This is a strong fit for my B2B lead generation, data enrichment, and email verification experience. I can build a large, clean database of genuine IT and technical professionals, capturing company name, exact job title, and verified business email. I’ll use reliable public sources and enrichment methods, apply thorough email verification, remove duplicates, and replace invalid records during quality checks. I recommend starting with a smaller sample batch so you can test freshness, formatting, and deliverability before scaling toward 500,000 contacts. I can work in controlled milestones and provide a clear collection and verification plan based on your target geography and preferred technical roles.

@durranigts

Hello, I have a list of 500K+ B2B contacts including IT and other industries. Please message me if it works for you. Thank you.........................................................

@sagarwal3005

To create a clean and accurate database of 500,000 B2B contacts in IT or technical roles, I will leverage my expertise in web scraping and data verification. The scraping will employ reliable methods like Puppeteer and BeautifulSoup to gather the required data, while a rigorous verification process will ensure email deliverability through verification techniques, including checks against multiple sources. With skills in Node.js, Express, and Python scripts, I can efficiently manage this project. I have maintained a 4.9-star rating across 200 client reviews, reflecting my commitment to quality. What is your expected timeline for the initial dataset delivery?

@TeraByte26

Hi Albert, I will deliver a clean CSV of 500,000 B2B IT and technical staff contacts with company name, job title and verified email. I’ll provide three weekly batches, fully deduplicated and verified using Hunter and ZeroBounce, completed in 21 days. Can I send a 100‑record sample now? Best, [Your Name] Waiting for your response in chat! Best Regards.

@muneeb6767

I can build a high-quality B2B dataset focused on IT/technical professionals using compliant public/business sources, with strong deduplication, email validation, freshness checks, and batch sampling before scaling toward 500K records. I’ll deliver CSV with company, job title, and verified business email, using tools such as Hunter/ZeroBounce where appropriate and replacing failed records during QA

@techplusintl

Hi, ★★★ DATABASE SPECIALIST ★★★ I can create a clean, well-structured database containing 500,000 B2B contacts who hold IT or other technical positions to enhance your outreach workflows. To ensure accuracy and deliverability, I will implement reliable scraping methods combined with thorough email verification and de-duplication processes. I will utilize tools like Hunter and NeverBounce to verify emails, ensuring that only genuine IT and technical staff from real companies are included. I will start by gathering data from various sources, focusing on the most recent and relevant information. I'll ensure that the final file is delivered in CSV format with separate columns for company name, job title, and verified email address. I will also provide a timeline for data collection and verification, along with a milestone strategy for batch deliveries. To get started, I will need your confirmation on the preferred format for the final file and any specific industries you want to prioritize, even if loosely defined. Thanks!

@hirujiyu

➰➰ B2B DATA SPECIALIST | CONTACT ENRICHMENT & EMAIL VERIFICATION Hi there, I see you need a large, clean B2B contact dataset with accurate company, job-title and business-email information, with strong emphasis on verification, de-duplication and data quality. I can help build the dataset using legitimate data sources and permitted enrichment methods, then apply validation and quality checks before delivery. ⭕ Do you already have approved data sources, company lists or an existing CRM that the 500,000 records should be matched against? ⚡ For a volume of 500,000 records, I would prioritise data provenance, accuracy and repeatable quality controls over simply reaching the volume quickly. This also makes it easier to replace failed records and maintain consistent quality across every batch. Thank you.

@mehadilimon

Hi, I can handle this project and build the 500,000 contact B2B database with the required fields. I can source genuine IT and technical professionals, then clean, de-duplicate, and verify the email data before delivery. I can provide the final database in CSV or Excel format with Company Name, Job Title, and Verified Email Address. I’m also comfortable working in milestones, starting with a smaller sample batch for your review and deliverability testing. Once the sample is approved, I can scale the process toward the full 500,000 records while maintaining consistent quality standards. I’m ready to discuss the first batch, timeline, and verification requirements. Thanks Mehadi

@muhammadi476

For a 500,000-contact database, the real challenge isn’t collecting volume—it’s keeping the emails accurate, relevant, and clean enough that your outreach domain doesn’t get damaged by avoidable bounces. I can build this in controlled batches, targeting genuine IT and technical professionals at real companies, then standardize the company/title data, remove duplicates, and verify emails before delivery. I’d use sources such as Apollo, LinkedIn/Sales Navigator and company databases for collection, with Hunter, NeverBounce or ZeroBounce for verification depending on the batch and source quality. I’d suggest starting with a 10,000–25,000 contact pilot so you can randomly test the records and deliverability. Once the sample passes your checks, I can scale the same process across the remaining volume rather than risking 500K records at once. I don’t want to claim I already have 500K fresh contacts sitting on hand unless they’ve actually been collected and verified. Instead, I’d build the database specifically for your criteria and keep each batch documented and de-duplicated. I’m happy to provide the first batch as a quality checkpoint and discuss the most practical turnaround for the full volume.

@ImranAli01

Hi there, I went through your project description and understand you need a clean, verified database of 500,000 B2B IT and technical professionals with accurate company names, job titles, and deliverable email addresses. I will build the dataset through reliable B2B data sources and targeted web research, then clean and normalize records using Python and pandas. I will apply strict filtering for relevant technical roles, real companies, duplicate removal, and email validation using tools such as ZeroBounce, NeverBounce, or Hunter, depending on coverage and accuracy. I will maintain separate fields for company, job title, and verified email, then deliver the final dataset in CSV or Excel format. Rather than producing the full volume at once, I will establish a representative pilot batch first, validate quality against your acceptance criteria, and use the results to refine sourcing and verification before scaling. Within 24-48 hours of award, I will share a project blueprint covering sourcing, filtering, verification, deduplication, milestones, and delivery. Would you prefer the initial pilot batch to be 10,000 or 25,000 records for quality validation? Let’s establish the benchmark first, then scale confidently. Kind regards, Imran Ali

@Georgeoustar

Hi, there! I understand the priority is not simply reaching 500,000 records, but delivering a clean B2B database of genuine IT and technical professionals with verified emails, accurate job titles, and strong deliverability. I’ve worked on similar large scale lead generation projects involving professional contact research, email verification, deduplication, validation, and CSV delivery. I can work in batches, provide samples first, and replace records that fail agreed quality checks. I’d be glad to confirm your preferred job titles and verification standard before starting. Best regards, George

@turaab

I can build a clean, well-structured database of 500,000 genuine IT and technical B2B contacts with company name, job title, and verified business email addresses. My process includes targeted data collection from reliable public/business sources, email verification using tools such as Hunter, NeverBounce or ZeroBounce, and thorough de-duplication before delivery. I can provide the data in CSV or Excel format and deliver it in batches so you can review quality and deliverability before scaling to the full volume. I can also replace invalid records identified during agreed quality checks. Ready to discuss the target criteria and milestone structure.

@NelisThuo

Hi, I have built verified B2B databases at this scale before, and I know the difference between a raw scrape and a usable list. Unverified data typically bounces at 30–40%, which wrecks deliverability and domain reputation. My workflow runs in 100,000-record batches: multi-source scraping, then email verification through syntax checks, domain validation, and SMTP validation, followed by deduplication and formatting to your CSV structure. I replace any records that fail your spot-check. My question: Do you need contacts from specific countries or regions, or is global coverage fine as long as job titles are genuinely technical and companies are real? Price: $70 for 500,000 verified contacts. First milestone of 100,000 delivered in 7 days.

@malaikaa49

Building a 500,000-contact B2B database requires more than scraping volume—it needs accurate job titles, real companies, verified emails, and strict de-duplication. I can research and organise IT and technical contacts into clean CSV/Excel columns, verify email addresses, remove duplicates, and maintain consistent data quality across batches. I’d suggest starting with a smaller sample for your review, then scaling once the accuracy and verification standards meet your expectations. Best regards, Malaika Asad

@binayatri

Hi, For 500,000 contacts, the priority should be data quality rather than simply reaching the target volume. I’d build the dataset in batches, collect people with relevant IT/technical titles, normalize company and title data, remove duplicates, and verify emails before delivery. I’d recommend starting with a sample batch so you can test quality before we scale. I have 13+ years of experience with web scraping, data extraction, lead generation, data cleansing, automation, and large data pipelines using tools such as Python, Playwright, Selenium and APIs. I can deliver the final dataset as CSV/Excel with the three requested fields. I’d estimate 3–5 weeks depending on sources and verification volume. I would also report verification status rather than promise a literally zero-bounce list. Let's connect and get started soon. Best regards, Binaya T.

@abhay686

Thank you for considering my proposal. I have 7+ years of experience with B2B lead generation, Python, web research, data scraping, Excel/CSV, email verification, and large database cleaning. I can build a 500,000-record database of genuine IT and technical professionals with company name, job title, and verified business email address. I’ll use reliable public/business sources, remove duplicates, standardize records, and verify emails using tools such as Hunter, ZeroBounce, NeverBounce, or equivalent services. For quality control, I recommend delivering the project in batches of 25,000–50,000 contacts so you can test freshness and deliverability before moving to the next milestone. Payment & delivery assurance: ✅ No upfront payment ✅ Milestone payment after verified batches ✅ Regular progress updates ✅ Direct communication with you ✅ 100% commitment to data quality and project completion Let’s connect over the chat so that I can show you my previous work.