Large-Scale Business Contact Scraping

@afua23

Hello there, I have read your project with title Large-Scale Business Contact Scraping carefully and i can help you. I have a 15+ experience in web scraping and web research. Here are a few examples of past projects i have completed here: https://www.freelancer.com/projects/data-entry/Scrape-Data-from-Websites-39311571/details https://www.freelancer.com/projects/data-extraction/Web-Database-Extraction-Script/details https://www.freelancer.com/projects/php/PYTHON-SCRAPER-35879443/details https://www.freelancer.com/projects/excel/Web-scraping-for-public-information/details Let's chat so that we can discuss the fine details. Thanks Claudia

@justmian876

With a team of highly skilled professionals and a wealth of experience, BN-Droids Digital Services is undoubtedly the best choice for your large-scale business contact scraping needs. Our expertise lies in data extraction, specifically in web scraping and mining. We have efficiently scraped and processed over one million records daily with high accuracy. From Europe to UAE, Canada to Australia, we have built and managed databases comprising of 20+ million business and retail records. These include directories, listings, Google Maps data, social media data and much more - all in formats like CSV, JSON, Excel or Database Export.

@asifdwan

Hi, I can build a scalable contact-scraping workflow using Python with public company websites and reputable directories, while using LinkedIn only through permitted/public access methods or an authorized API. I’ll collect email, direct phone, and current job title, then validate, deduplicate, and spot-check the final dataset before delivery. I’ll also implement rate limiting, retries, logging, and clear handling of CAPTCHA/access restrictions rather than attempting to bypass them. I can provide the CSV/XLSX plus a concise methods report and sample records for approval before scaling.

@TanvirKhanPaple

Hi there! Project is very clear to me and I can collect and verify business contacts from company websites, LinkedIn, and reputable directories, then deliver a clean de-duplicated CSV/XLSX. I’ll use compliant scraping methods with rate limits, validate emails/phones, and manually spot-check records against live sources. Thank you.

@brashel

Hi there, I can scrape and validate high-volume business contacts using Python, web research and automation, delivering a clean, de-duplicated CSV/XLSX with verified emails, phones and job titles.

@Hadiibaba

Hi there, I’ve thoroughly reviewed your project details and am confident I can deliver exactly what you're looking for. I have direct experience with this type of work and can start right away. To show you what I can do, I’d be happy to prepare a quick sample for your review. Let’s connect to discuss the full scope of work so I can provide an accurate project estimate. Best regards, Muhammad Haris

@nkrsasnaa

Dear client, I am a lead generation specialist and had gathered data in millions for my client from apollo, linkedin and zoominfo. Let's connect and provide me with your exact requirements and the directories you are targeting. Thanks!

@thinkitltd4

I am ready to start.......................................................................................................................................

@tmoi06

Hello Sir, I can build a high-volume, accurate business contact database from company websites, LinkedIn, and reputable directories with verified email, direct phone, and current job title for every record. ✅ Why Me? ✔ Extensive experience in high-volume B2B lead generation, web research, scraping, and contact enrichment ✔ Skilled with Python, BeautifulSoup, Selenium, Apify, Apollo, LinkedIn Sales Navigator, and other research tools ✔ Strong focus on current job-title verification, working contact details, deduplication, and data accuracy ✔ Can handle rate limits and CAPTCHA challenges using compliant, source-appropriate methods rather than risky bypass techniques ✔ Deliver clean CSV/XLSX files with validation, QA checks, and source verification, including 50+ random-record spot checks ✔ 500+ projects completed | 5.0-star rating I understand the key requirement is quality at scale—not simply collecting large volumes of contacts. I will cross-check data against live sources, remove duplicates, validate contact details, and maintain a structured workflow to meet the required acceptance criteria. I can also provide a brief methods summary covering the tools, workflow, verification process, deduplication, and safeguards used. I’m ready to start with a sample batch so you can review the data quality before scaling up. Best regards, Ayan

@denisSolution

Hi, I'm Denis, a full-stack developer specializing in large-scale data collection systems. I understand you need a reliable pipeline pulling business contacts from multiple sources with clean, verified data at volume. I've built similar projects involving web scraping, data validation, and deduplication. The main challenge isn't just extraction—it's reliability and accuracy at scale. Websites change structure, rate limits activate, and verification is critical with hundreds or thousands of records. Here's my approach: I'll map each source individually since company websites, LinkedIn, and directories have different structures. I'd use BeautifulSoup for parsing and Selenium for JavaScript-heavy sites. I'll implement intelligent rate limiting, handle captchas with rotation and delays, and use proxy rotation if needed. The core workflow: extraction → validation → deduplication. I'll verify emails against formats, cross-check phone numbers, and remove duplicates using multiple strategies. Each record gets spot-checked against live sources for accuracy before delivery. Critically, I'll build verification steps that validate email domains and call numbers—not just formatting. This ensures your accuracy requirements are reliably met. The main risk is source sites changing structure or tightening access. I'll handle this with modular, easily-adjustable scrapers and monitoring to catch issues early. I'm ready to start immediately. Let's discuss the details. Thanks, Denis.

@PINESCRIPTERR

Hi, I can build a scalable contact-scraping workflow using Python and appropriate source-specific methods to collect business contacts from permitted company websites, LinkedIn, and online directories, with validation, normalization, de-duplication, and structured CSV/XLSX output. I’ll design the workflow around each source’s access rules and implement appropriate rate limiting and error handling rather than bypassing access controls. Question 1: Do you already have a defined list of companies, industries, or geographic markets to target? Question 2: Will you provide the target sources/URLs, or should the workflow also identify relevant companies and contacts based on your criteria? Regards, Houssame.

@mattafareed4848

Hello I can handle high-volume business contact scraping from permitted sources, with structured extraction, validation, de-duplication, and 50-record spot checks. I can provide a clean CSV/XLSX plus a concise methods summary while respecting source terms, rate limits, and access restrictions. Regards Muhammad

@muneeb6767

I can build a scalable, terms-compliant contact research workflow using Python/Scrapy for company sites and reputable directories, with permitted/API-based LinkedIn access where available. I’ll validate email/phone/title fields, deduplicate records, apply rate limits and error handling, and deliver a clean CSV/XLSX with a methods report and 50+ live spot checks; I won’t claim unverified past datasets or bypass access controls

@mayankinnovative

Hello, I can build a scalable business-data collection system to gather publicly available company information such as business names, websites, categories, locations, and publicly listed contact details. With 20 years of software development experience, I can work with Python, APIs, Playwright/Selenium, BeautifulSoup, databases, proxy-aware infrastructure where permitted, and automated data pipelines. A few quick questions: - Which websites or business directories should be collected from? - What exact fields and approximate data volume do you need? - Should the data be delivered as CSV/Excel, database records, or through an API? I’ll focus on accurate extraction, deduplication, validation, scalable processing, and reliable exports while respecting applicable website terms and privacy requirements. I’m available to start immediately. Thanks

@rezamahi

With 6+ years of experience in web scraping, lead generation, data extraction, and large-scale contact list building, I can handle this project with a strong focus on accuracy, validation, and de-duplication. I can collect and structure: • Verified business email • Direct phone number • Current job title • Company and source information where useful I can work with company websites and reputable directories using Python, Scrapy, BeautifulSoup, Selenium/Playwright, and appropriate APIs where available. For LinkedIn, I’ll use compliant data-access methods rather than bypassing platform restrictions. My workflow will include data normalization, duplicate removal, email/phone validation, source cross-checking, and quality-control sampling before delivery. Rate limits and CAPTCHA challenges will be handled through compliant throttling and alternative permitted sources rather than aggressive bypassing. I can deliver a clean CSV/XLSX with consistent formatting and a brief methodology report. I have experience handling high-volume lead datasets and can scale the workflow according to the required contact volume. I’m available to start immediately. Once you confirm the target number of contacts, industries, and geography, I can provide the exact delivery timeline and pricing.

@ganeshrasekar

I can do it

@b2btechnology20

With a firm foundation in Python, I am adept at automating data extraction processes for large-scale projects, like yours. My command of the language, combined with my familiarity with tools like Scrapy, Selenium and BeautifulSoup - that have proven effective with source-site terms and rate-limiting challenges - assures utmost professionalism through your significant project. Moreover, I commit to providing you with well-formatted deliverables to minimize your effort in organizing the dataset. My focus is on quality; I will ensure that less than 1% of the records are duplicated. Additionally, I understand your need for reliable data, therefore, I'll conduct spot checks on at least 50 random records to guarantee data accuracy using live source information. Lastly, my expertise extends to Web Design, App Development and SEO services which have given me a holistic understanding of web markets. Whether it has been building databases or utilizing APIs like LinkedIn’s to gather contact information, creating value through data has been at the core of my work. Give me this chance to implement my skills into transforming big-data into efficient business contacts for you. When you choose me, Mahesh Kumar, you choose precision and efficiency. Thank you for considering my candidacy!

@mobasherreza10

Hi there, As a data scraping professional with hands-on experience in Python and Selenium, I provide reliable and accurate solutions for smart, large-scale data extraction projects. I have successfully created automated scripts that handle sizeable volumes much like the one you require, yielding structured, deduplicated datasets with minimal effort on your end. To overcome rate-limiting and captcha challenges, I employ intelligent strategies such as rotating proxies and headless browser automation finesse. With my skills in Data Scraping, Python, and Selenium, I guarantee 100% of rows to have working email addresses, phone numbers, and job titles with less than 1% duplication across the dataset. I offer thorough quality checks for assurance; from extraction to validation. To ensure security and privacy compliance, I operate under source-site terms while maximizing every source's capability. Best regards, Mobasher Reza

@manishashree12

Hello there, I am experienced in data scraping and would love to assist with extracting business contacts from various sources. I plan to utilize Python, Scrapy, BeautifulSoup, and Selenium to ensure accurate and verifiable data extraction. Overcoming rate-limiting and captcha challenges will be done by implementing efficient strategies upfront. I have successfully handled similar large-scale projects in the past and can provide examples upon request. Let's discuss further to ensure my approach aligns with your requirements. Thanks,