Scrape 100k US Company Domains

@hdlan

Hello, I will extract approximately 50,000 company domains, along with their names and employee counts, from Apollo. I will also verify the domain statuses and retain only the live domains on the list. Please note that I am unable to include C-level contact names at this stage. Let me know if you would like to discuss this further. Duong

@sujonmax2

Hello, I can build a fresh, well-verified list of 100,000 active U.S. company websites with 50–500 employees. I will verify live domains, employee counts, and one senior decision-maker per company. I understand your 95%+ accuracy requirement and will deliver a clean, properly structured CSV file.

@ShaikhAneesa

Hello, I have thoroughly reviewed the project requirements for scraping 100k US company domains, targeting specific employee counts and senior decision-makers for direct outreach. Let's chat and discuss it further. To handle your project, I will start with utilizing a combination of tools such as LinkedIn Sales Navigator, Crunchbase, and Hunter to gather accurate and up-to-date information. I will then verify the data to ensure a 95%+ validity rate, focusing on company name, live website URL, employee count, and C-level contact details. The deliverables for this project will include a comprehensive CSV file containing the requested information for 100,000 active US company domains. Before signing-off my bid, I would like to ask a question, i.e., what specific measures do you have in mind to verify the accuracy of the C-level contact details provided? Best Regards, Aneesa.

@raminde

Have over 18 years of experience in data mining/ Web scrapping/ Scraping Bots/ Chrome/Opera Extensions I have done it all. Tell us your source and we will put it in excel for you, Or we can even give you filtered results as per your requirement, In the format you want. You can also ask for data into a particular format - Excel, Json, Mysql, Databases, XMLs, you name them. Further Can help you with integrating it with ur databases, Can create json outputs. We are not only good with scraping but also with the tools that u may need after that. We can help you build you softwares round the data we have 99% Data Accuracy. We have Duplicate finder. etc., We can help with Statistics on the data We can help with creating Api's front the data We can create Softwares to manage that data We can build Sites round the data

@rosscarter1011

Hey, nailing that 50-500 employee count and ensuring a single senior decision-maker per domain is where I'd start. I'd use a combination of LinkedIn Sales Navigator and Apollo to filter and verify those specific criteria. The trickiest part is always the final validation to hit that 95%+ live domain and accurate contact rate, which I handle with multiple verification passes. Are you looking for a specific industry focus within the US companies?

@TheSecondSource

Greeting! Building a 100,000-record verified dataset of US companies with accurate employee ranges and direct CEO-level contacts requires a compliance-first data aggregation and validation workflow to avoid invalid records, platform violations, and high bounce rates. We are a team of 62 professionals with over 9 years of experience in large-scale B2B data engineering, enrichment systems, and lead intelligence pipelines. Here’s how we can help: • Build firmographic filtering for US companies (50–500 employees) using compliant data providers and verified datasets • Enrich company domains with decision-maker mapping (CEO/President/Owner) from structured business intelligence sources • Validate and clean domains with live verification, deduplication, and removal of parked/inactive sites • Apply email/contact enrichment with verification layers to reduce bounce rates and improve deliverability • Structure QA sampling and accuracy reporting to ensure consistent dataset quality across all batches • Deliver a single consolidated CSV with standardized fields and traceable data sources Do you want to prioritize any specific industries or exclude certain sectors? Also, is outbound email outreach, LinkedIn outreach, or both the primary use case? We can build a scalable, compliant pipeline that produces high-quality lead data aligned with real outreach performance instead of unreliable bulk scraping.

@muneeb6767

I can compile a verified database of 100,000 U.S. companies by cross-checking trusted business sources, validating live websites, employee counts, and a single C-level decision-maker per company while applying strict quality checks and deduplication to achieve a high accuracy rate.

@hasan104

Hi, I can help build a clean and well-structured database of 100,000 U.S. companies that meet your criteria (50–500 employees) and provide one senior decision-maker for each company. I have experience with large-scale data collection, web scraping, lead generation, and data validation. My approach would involve combining reputable data sources and implementing multiple quality checks to ensure high accuracy and minimal duplication. The final CSV can include: * Company Name * Website URL (verified and reachable) * Employee Count with source reference * Decision-Maker Name * Job Title (President, CEO, or Owner) To maintain data quality, I will: * Validate website accessibility * Remove duplicates and invalid records * Cross-check employee counts from reliable sources * Perform consistency checks before delivery * Deliver data in a clean, import-ready CSV format Because of the scale of this project, I would appreciate discussing your preferred sources, timeline, and any additional requirements before finalizing the scope. I can also provide a sample dataset first so you can review the format and quality. Best regards, Hasan

@goranm16

Hi, I build verified B2B contact lists at this scale, so a 95%+ valid rate is realistic for me. My plan: pull US firms with 50 to 500 employees from Apollo and Crunchbase, then cross-check each headcount against a second source and note that source per row. Every site is tested live with automated status and redirect checks so parked or dead domains never reach the file. For each domain I isolate one President, CEO, or Owner and verify the name and title against current company data. Dedup runs on normalized domain and company name, so no repeats slip through. Final output is a single clean CSV with company, live URL, employee count with source, and contact name and title. I deliver in 20k batches so you can spot-check early and I refine before the full run. Full 100k turnaround is roughly 12 to 16 days. I can send a free 500 row sample first so you can test quality against your own checks before committing. Thanks!

@CauaAlves

As a seasoned data engineer and automation expert, I've spent countless hours building systems that handle vast amounts of data effortlessly. The challenge you're presenting falls well within my expertise. I'm proficient in leveraging the core tools you mention -LinkedIn Sales Navigator, Crunchbase, Apollo, Hunter, BuiltWith, to name a few- for creating reliable data pipelines that extract, transform and load information accurately. My workflows prioritize cleanliness and deduplication; two of the many factors that contribute to my excellent project completion rates and consistent 5-star reviews from clients across multiple countries including the US. I assure you a validity rate of at least 95% on the data I scrape. I am not only offering a simple data scraping service; my broader scope includes automating vital business processes with solutions that are well-documented and require minimal human intervention. I envisage delivering your final files in a single CSV format, containing everything you need - company name, website URL, employee count as sourced and C-level contact names and titles. Rest assured that this comprehensive approach will save you time, reduce manual work and ensure your business runs smoothly.

@ahmaddar2970

Hi! I excel at web scraping and data mining, perfect for collecting verified US company domains. I'll use robust APIs and scraping techniques to ensure each company info is accurate, reaching top decision-makers reliably. My process includes deduplication and validation checks to meet your 95% validity goal, using trusted sources like Apollo and Crunchbase. I deliver a clean, single CSV file, ready for outreach, within 10 days. Let's streamline your lead generation with precision and speed.

@AndrewJSMAN

I’ve scraped and verified 50k+ US company domains at scale using Apollo, Hunter, and Clearbit in past campaigns, so this is right in my wheelhouse. I’ll pull from Apollo’s company export filtered by US, 50–500 employees, then cross-check live domains via HTTP 200/HEAD requests and filter parked pages using BuiltWith. Employee counts will be validated against Crunchbase or LinkedIn, and C-level contacts will be sourced from Apollo’s verified emails or LinkedIn Sales Navigator profiles. I’ll dedupe domains and contacts, run a 10% random SMTP ping to confirm deliverability, and deliver a single CSV with the exact columns specified. I can start immediately.

@Patience420

Hello! I would be a good candidate for this project because I live in the United States. I also have 100 companies around me physically that I know for certain meet the criteria needed for this project. Spreading farther than my town alone would complete the required 100,00 active website. I will keep the data clean and deduped with a spreadsheet.

@albertc1996

Hi there, Maintaining platform compliance is incredibly important, and I completely agree with keeping all communication and verification strict. I will entirely remove any mention of external platforms like LinkedIn from our lead generation strategy and use alternative data aggregation tools to build and verify your target list. I will ensure our data collection process relies purely on internal B2B databases, programmatic scraping, and direct corporate domain analysis to source your high-accuracy list. I have two quick questions to make sure we're on the same page: Since we are bypassing traditional professional networks, would you like me to prioritize premium B2B data providers like ZoomInfo, Apollo, or Crunchbase to cross-reference the C-level executive titles? To ensure absolute data accuracy without external social tracking, should we implement a secondary MX record check on the company domains to verify that their corporate email servers are completely active? Let's discuss your project now!

@iterativeTech

As an AI and Cloud Data Engineering Specialist, I believe I am the perfect candidate for your project. My extensive experience lies in transforming data into measurable business outcomes - exactly what you are looking for. With my solutions, I've helped companies from various sectors lower costs, improve operational efficiency and make smarter decisions; and I'm confident of doing the same for you. Using state-of-the-art tools such as LinkedIn Sales Navigator, Crunchbase, Apollo, Hunter and BuiltWith, I ensure every bit of data is well-verified and meets your exact criteria. My aim is to provide you with a high validity rate in order to accelerate the pace at which we can move forward. Further, my knowledge of AWS and Azure (including their ML tools) will allow me to construct scalable ETL/ELT pipelines, keeping in mind security and cost efficiency. I'd use this proficiently with Google Sheets, Twillio, WhatsApp APIS etc., to give you a comprehensive single CSV file containing the following details: company name, website URL (live), employee count (sourced), C-level contact name & title. In conclusion, with a focus on delivering tangible ROI (I am well-versed in Python, SQL and value generating technologies like Power BI & Tableau), I guarantee the highest level of reliability combined with unmatched turnaround time thanks to my skillset. Let's begin!

@marcosfermin

Howdy! I want to be straightforward with you before you invest in this project, assembling a verified list of 100,000 U.S. companies in the 50 to 500 employee range with confirmed C level contacts and 95%+ validity is a significant data enrichment and verification operation, not a simple export. I have built Python ETL pipelines that pull, cross reference, and deduplicate records across sources like Apollo, Clearbit, Hunter, and Crunchbase APIs, then validate domains programmatically using HTTP probing and DNS checks. That technical side I can handle well. However, the sheer volume you are describing, 100,000 rows each requiring a live URL check, an employee count with a sourced citation, and a verified executive name and title, represents weeks of pipeline runtime, API credit costs that would be substantial, and ongoing human spot checking to hit your 95% threshold. I want you to have a realistic picture of what quality at that scale actually requires. Thank you. Marcos.

@nathanw514

Hi, I can assist right away. I understand what you need and will focus on quality results while keeping you updated. I am an expert with 10 years of experience in Web Scraping, Data Scraping and I helped many clients reach their goals. Visit my profile to check my latest work and reviews from past clients. I would love to connect in chat to discuss details. Talk soon, Nathan Wilkins

@alishaliaqat

Hi, I can build a verified list of U.S. companies with 50–500 employees, including the company name, website, employee count, and one senior decision-maker. I'll clean and deduplicate the data to ensure high accuracy before delivery. Estimated turnaround will depend on the final volume, and I'm happy to discuss the timeline. Thanks, Alisha

@WebDevLegend

I'll get right to the point. I can compile a clean, deduplicated list of 100,000 U.S. companies (50–500 employees) with verified websites and one senior decision-maker (CEO, President, or Owner) per company. I'll validate domains, remove duplicates, and cross-check employee counts using trusted data sources to maximize accuracy. I can get this done in a couple of days MAX. I can start ASAP Looking forward to hearing from you, Thanks