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Scraping data for b2b marketing. The database must comprise Founders / Co-Founders / Managing Directors / CEOs, Strategy Managers, Strategic Management Directors and all those responsible for strategy, strategic planning and strategic visions of organisations- 60 000 contacts wanted across all industries and from South Africa, Zambia, Zimbabwe, Namibia, Ghana, Kenya, Uganda, Tanzania, and Nigeria. All contacts must be active, true corporate/work email addresses with a minimum 95%+ deliverability rate. Generic or personal emails (e.g., @[login to view URL], @[login to view URL], @[login to view URL]) will not be accepted. Quality & Verification Requirements: Deliverability Guarantee: Minimum 95% valid, deliverable work emails. Zero Spam Traps / Hard Bounces: All emails must be dynamically validated via real-time SMTP/MX ping checks (using tools like NeverBounce, MillionVerifier, ZeroBounce, or custom SMTP logic). Location Filtering: 100% of the contacts must be physically located or operating within Africa. Deduplication: No duplicate contacts across personas or companies (maximum 2–3 contacts per enterprise company unless across different departments). Corporate Domains Only: Strictly business emails matching the company [login to view URL] Data Fields Per Record: Each record must be delivered in a clean CSV / Excel file containing the following fields: First Name Last Name Job Title (Standardized) Target Persona Category (e.g., IT Manager) Company Name Company Domain / Website Verified Corporate Email (Must pass SMTP check) Email Status (Valid / Deliverable) LinkedIn Profile URL (Person) City / Region (e.g., Johannesburg, Cape Town, Durban, Pretoria) Country (South Africa) Industry Sector Company Size / Headcount
Project ID: 40698484
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73 freelancers are bidding on average $128 USD for this job

Hello sir, I understood you need African b2b targeted leads. I can give you 60-100k targeted b2b leads based on your targeted titles, industries and countries. It will take 1 day to complete 100k prospect leads. I have a team, and we are working on b2b lead research and prospect lead generation projects for the last 12 years. You can check my previous projects. Please contact me so that we can discuss. I am ready to start working. Thank you.
$200 USD in 1 day
7.2
7.2

Hello, This is a strong fit for my B2B lead generation and verified decision-maker research experience. I can build the requested database of 60,000 strategic decision-makers across South Africa, Zambia, Zimbabwe, Namibia, Ghana, Kenya, Uganda, Tanzania, and Nigeria. I’ll focus specifically on Founders, Co-Founders, CEOs, Managing Directors, Strategy Managers, Strategic Management Directors, and other professionals responsible for strategy and strategic planning. I’ll verify company, role, location, LinkedIn, and corporate-domain email details, while excluding Gmail/Yahoo/personal and generic addresses. I’ll use reliable enrichment and email-verification methods, remove duplicates, standardize job titles/persona categories, and provide the complete dataset in clean CSV/Excel format with email status and source validation fields. I recommend starting with a sample batch so you can test the corporate-domain filtering, persona accuracy, freshness, and deliverability before scaling to the full 60,000 contacts. Ready to start immediately.
$250 USD in 1 day
6.6
6.6

I can build this B2B database across South Africa, Zambia, Zimbabwe, Namibia, Ghana, Kenya, Uganda, Tanzania, and Nigeria, targeting founders, CEOs, managing directors, and strategy decision-makers with standardized titles and company data. I’ll focus on corporate-domain emails only, deduplication, location/persona validation, MX/SMTP or reputable verification checks, and clean CSV/Excel delivery with LinkedIn, industry, company size, and source fields; I can structure the workflow for large-scale collection and quality control toward your 95%+ deliverability requirement.
$100 USD in 2 days
5.4
5.4

60,000 Africa-based decision-maker contacts with 95%+ deliverability is really a data quality project more than a simple scrape. The hard part here is not finding names — it is filtering the right strategy-focused titles, keeping only real corporate emails, removing duplicates across countries, and validating the list deeply enough that it is usable for outreach. I’ve worked on lead-gen databases where the failure point was always verification quality, not volume. For this kind of build, I’d structure the work in layers: sourcing by country/persona, standardizing titles, matching domains, validating business emails, then running a final dedupe and formatting pass for CSV delivery. To make sure the list matches what you actually need: - Do you want all 60,000 delivered in one batch or in phased country-wise batches? - Are enterprise and mid-market companies both in scope, or should we apply a headcount/revenue threshold? - Should “strategy” include adjacent titles like Business Development Directors or only explicitly strategy/planning leadership roles?
$250 USD in 7 days
5.7
5.7

Hello Sir, I can build your 60,000-contact B2B database across the specified African markets, with a strong focus on senior leadership and strategy-related decision-makers. ✅ Why Me? ✔ Extensive experience in large-scale B2B lead generation, web research, contact enrichment, and data verification ✔ Skilled at identifying Founders, CEOs, Managing Directors, Strategy Managers, Strategic Management Directors, and other strategy-focused decision-makers ✔ Experienced with Apollo, LinkedIn Sales Navigator, ZoomInfo, NeverBounce, ZeroBounce, MillionVerifier, and comparable research tools ✔ Strictly focused on corporate-domain emails, excluding Gmail, Yahoo, webmail, generic, and personal addresses ✔ Careful deduplication and cross-checking of persona, company, location, job title, and contact information ✔ 500+ projects completed | 5.0-star rating For quality control, I’ll use a multi-step verification process: persona/company verification → corporate-domain matching → email validation → duplicate removal → location/industry check → final QA. I’ll target a 95%+ deliverability rate and exclude invalid, generic, personal, and unverifiable addresses. I can begin with a sample batch for quality validation before scaling toward the full 60,000-contact requirement. Best regards, Ayan
$240 USD in 4 days
5.3
5.3

Hi, I am a data scraping and lead generation developer with 8 years of rich experience in software development, with a strong background in B2B data collection, contact enrichment, email verification, and large-scale data processing. I am familiar with Python, Scrapy, Playwright, BeautifulSoup, LinkedIn/company data research, REST APIs, CSV/Excel processing, deduplication, domain matching, MX validation, SMTP verification, NeverBounce, ZeroBounce, MillionVerifier, and data quality checks. For your project, I can build and validate a structured database of African business decision-makers across the requested countries, restrict records to corporate domains, standardize titles and personas, remove duplicates, and run verification so invalid or risky addresses are excluded before delivery. I'm an individual freelancer and can work on any time zone you want. Please contact me with the best time for you to have a quick chat. Thanks. Emile.
$250 USD in 7 days
5.3
5.3

A list this size only works if the verification standards are enforced from the start, otherwise you end up with a big spreadsheet and a poor campaign result. Your requirements are clear: strategy-level contacts only, African operating presence, corporate domains, no duplicates, and deliverable emails that can stand up to real outreach use. I’ve handled contact research and list-building tasks where job-title mapping and validation logic mattered far more than raw scraping speed. For your brief, I’d separate persona targeting first, then validate company geography, then confirm domain-matched work emails and clean the final file around the exact fields you listed. A couple of points would help define the list properly: - Do you already have preferred industries to prioritize first, or should this be spread evenly across all sectors? - For Nigeria, Kenya, Ghana and South Africa, do you want heavier volume than the smaller markets? - Would you like a small sample first so you can check formatting and relevance before full production?
$240 USD in 7 days
4.6
4.6

As a seasoned technology professional well-versed in all aspects of data management and analysis, I am confident that I possess the necessary skills to fulfill your project requirements. I have a proven track record of designing and implementing high-quality database systems tailored precisely to each client's specifications, as well as extensive experience in scraping, verifying, and managing large volumes of B2B data. To ensure quality and deliverability while adhering to your stringent spam filtering criteria (zero spam traps or hard bounces), I am skilled in using advanced verification tools like NeverBounce and have designed custom SMTP logic for real-time email checks. My aim is always 100% accuracy in deliverables with minimum 95% valid email addresses. Having been a long-term technology partner for several startups and businesses, I understand the importance of clean CSV/excel formats maximizing usability and future scalability. Throughout our engagement, I assure you of regular communication supported by quick turnarounds for any amendments or additions you may require. When you choose me for this project, you can trust that not only will I provide an accurate database but also valuable suggestions to maximize its use for your strategic marketing campaigns.
$50 USD in 4 days
4.2
4.2

Hi, The hard part of this job is not the scrape, it's holding a 95%+ deliverable rate across nine countries with corporate domains only. My plan is a two stage pipeline: collect and enrich with LinkedIn and company domain matching, then run every record through real time SMTP and MX checks so anything that soft fails, catches a spam trap, or resolves to gmail or webmail gets dropped before delivery. I build automation and data processing pipelines in Python, including an AI driven business development workflow for our own agency. BD Automation: internal MangoCoders BD pipeline One question so I scope correctly: do you want the full 60k in one file, or delivered in verified batches so you confirm quality on the first few thousand? Adil
$106.86 USD in 7 days
4.3
4.3

The biggest risk in your project is false positives — titles that sound strategic but are not real decision-makers, or emails that look corporate but won’t survive an actual send. Since you need 60,000 records across multiple African markets, the process has to be built around accuracy, validation, and title control rather than bulk extraction alone. I’ve worked on prospect-data and outreach-prep work where deliverability and segmentation determined whether the data had any real value. For a database like this, I’d focus on title normalization, company-domain matching, regional filtering, verification, and a strict duplicate-control process before the sheet is finalized. A few specifics would help tighten the build: - Should LinkedIn URLs be mandatory on every record, or acceptable where publicly available? - Do you want a max cap per company by default, such as 2 contacts unless they are clearly from different strategic functions? - Would you prefer the final file split by country tabs/files, or one master CSV with filters?
$220 USD in 7 days
4.3
4.3

Hello, "Build A Verified African B2B Dataset" - need 60,000 decision-maker contacts with strict corporate-email validation, deduplication, and country filtering. I can build the collection pipeline with Web Scraping, Data Mining, Data Collection, Lead Generation and Data Cleansing, then normalize titles, domains, locations and company data before validation. My Australian PR sales-leads work demonstrates verified decision-maker research: https://www.freelancer.com/projects/research/Australian-Sales-Leads/reviews Which email-validation service should be used for the 95%+ deliverability requirement? Artur
$250 USD in 6 days
3.7
3.7

Hi! Reaching that kind of volume with genuinely verified, role-matched contacts across nine markets is very doable with the right pipeline set up from the start. Before locking in scope, the one thing I need to understand is sourcing: are you expecting this pulled primarily from LinkedIn and similar public profiles, or do you also want us layering in company registries, industry directories, and event/conference attendee lists per country? This matters because LinkedIn-only scraping tends to plateau well before 60,000 verified, role-matched contacts across nine African markets — hitting that number with 95%+ deliverability usually means combining sources per country, and that shapes how the pipeline gets structured more than anything else here. On execution: we'd normalize job titles into your persona categories first, then run every email through SMTP/MX validation before it reaches the file, so bounces get filtered at the source rather than caught afterward. Deduplication and the per-company cap would be enforced at the database level, not manually. The field structure you listed is straightforward to deliver cleanly in CSV once sourcing is settled — that's terrain we know well. I'd rather confirm sourcing now than assume and rework the list later. Gustavo & the DoTheCode team
$150 USD in 7 days
3.8
3.8

Hello, I can help you build a high-quality database of 60,000 verified B2B contacts across South Africa, Zambia, Zimbabwe, Namibia, Ghana, Kenya, Uganda, Tanzania, and Nigeria. I have experience in B2B lead generation, web research, data scraping, and email verification. I will target Founders, CEOs, Managing Directors, Strategy Managers, Strategic Management Directors, and other decision-makers responsible for strategy and planning. I will ensure: • 95%+ deliverable corporate/work emails • Real-time email verification and SMTP/MX validation • No generic, personal, duplicate, or spam-trap emails • Accurate LinkedIn profiles, job titles, locations, industries, and company details • Clean, standardized CSV/Excel delivery I focus on accuracy, verification, and consistency rather than simply collecting large volumes of data. I’m ready to start with a sample batch for quality approval before scaling to the full 60,000 contacts. Best regards, Muhammad Saad
$200 USD in 3 days
3.7
3.7

Hello! I have experience building B2B lead databases, web scraping systems, and data collection projects using scraping tools, LinkedIn research, email verification, and data cleaning processes. I can collect targeted business contacts with accurate company information and verified corporate emails. I will gather contacts based on your required personas, industries, and African countries. I will clean, standardize, deduplicate, and validate emails using verification methods to achieve high deliverability, then provide a structured CSV/Excel file with all requested fields. I will focus on avoiding generic emails, spam traps, duplicates, and irrelevant contacts. I can also include LinkedIn profiles and company details to improve lead quality. Timeline: 3 weeks I can start work immediately as I am free now. I respect your requirements and suggestions, and I am interested in building a long-term working relationship by delivering reliable results. Thanks
$120 USD in 21 days
3.3
3.3

I will collect 60,000 African decision‑makers using LinkedIn Sales Navigator and Apollo, filtering by job title (Founder, CEO, Strategy Director, etc.), country, industry, and company size. I will deduplicate and limit to 2–3 contacts per enterprise. For email validation, I use NeverBounce/ZeroBounce with real‑time SMTP/MX checks to guarantee 95%+ deliverability and zero spam traps – only corporate domains. I separate collection, normalisation, deduplication, and validation to remove failed records before final CSV delivery. I have delivered similar 50k+ verified B2B lists for African markets with proven accuracy. Best, Usman K https://www.freelancer.com/u/ukokab
$120 USD in 7 days
3.0
3.0

Hi - Jordan here "AFRICAN B2B CONTACT DATABASE COMPILATION" , you need 60,000 verified African B2B strategy and leadership contacts with corporate emails. I'd build the database from source-qualified company and executive records, then run multi-stage validation with SMTP/MX checks and domain matching so invalid, personal, and spam-trap addresses are removed. Each contact will carry standardized title, persona category, company, domain, verified work email, LinkedIn URL, location, industry, and headcount, with a clean CSV/Excel export and the first 1,000 records used as the acceptance test. How do you want edge cases handled when a company uses a shared domain structure across multiple country offices? Looking forward to work with you
$60 USD in 2 days
1.9
1.9

Hey, Just wrapped a similar B2B contact compilation for a multi‑country African campaign – 70k verified corporate emails with real‑time SMTP checks and zero spam traps. We’re the perfect fit for your 60k‑strong, 95%+ deliverable database. I specialize in high‑volume scraping, advanced email verification, and clean CSV/Excel delivery with all required fields. My methods use NeverBounce, MillionVerifier, and custom SMTP logic to guarantee valid corporate addresses and strict deduplication. Multiple 5‑star reviews on large‑scale B2B databases and deliverability projects underline my expertise. Happy to jump on a quick call or offer a free consultation with solid ideas for your project. Chris | Lead Developer | Novatech
$100 USD in 7 days
1.8
1.8

Hi , You need an expert in Data Management, Email Marketing, Leads, Data Collection, Web Scraping, Data Mining, Data Scraping and Lead Generation, and I have a tailor-made solution ready for you. Your project brief instantly reminded me of a recent client who faced similar challenges, and I know exactly how to execute this flawlessly for your specific needs. To ensure we hit the ground running, I have three quick questions: Are there any additional technical details or constraints not mentioned in the brief? What is the primary hurdle currently blocking your progress on this? What is your strict timeline for completion? Why trust me with your project? The Record: 250+ Projects. 6+ Years. 100+ consecutive 5-star reviews. The Standard: Zero misses. I don’t just finish the job; I guarantee flawless execution. The Availability: Full-time freelancer, online 9 AM - 9 PM EST. My biggest "heavy-hitter" projects are kept off my public portfolio to protect client confidentiality. Click 'CHAT', and I’ll immediately send over relevant, private samples so you can see the standard of my work firsthand. Best regards, Muhammad Arsalan
$30 USD in 6 days
1.7
1.7

Hi, I can help build a high-quality B2B database of executive contacts across the specified African countries. I have experience with web research, data extraction, Excel/CSV, deduplication, and email verification workflows. I can collect the required fields, verify corporate emails using industry-standard verification tools, remove duplicates, and deliver clean, organized data. I can also provide a small sample first for your review before proceeding with the full project. I'd be happy to discuss the timeline, milestones, and verification process.
$30 USD in 2 days
1.3
1.3

YOU ONLY NEED ONE DEVELOPER WHO GETS IT RIGHT THE FIRST TIME. HERE'S WHY I'M THAT DEVELOPER. I recently helped a client compile a comprehensive database that transformed their B2B marketing efforts. I'd love to do the same for you and deliver an accurate, high-quality contact list tailored to your needs. We will help you build a robust database of key decision-makers across various industries in Africa, ensuring maximum deliverability and compliance with your quality requirements. I understand the importance of clean, professional, and verified data. Your project requires a focus on deliverability and dynamic validation to avoid spam traps and ensure accurate corporate emails. We have 75+ 5-star reviews on similar projects and rank in the top 1% among 75 million users. I'd love to chat about your project! The worst that can happen is you walk away with a free consultation. Regards, Aydon.
$150 USD in 7 days
1.5
1.5

johannesburg, South Africa
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