US YouTube Business Leads Scrape

@justmian876

As leaders in web scraping, data extraction, and automation, my team at BN-Droids Digital Services is uniquely equipped to tackle your YouTube business leads project. With an impressive track record of delivering high-quality data solutions for over 5 years, we are capable of processing an astonishing 1 million+ data records daily while maintaining a high level of accuracy that ensures clean results. We've amassed considerable experience curating large datasets exceeding 20+ million business records worldwide, including those from the US where your targeted Real Estate, Finance, and Fitness sectors reside.

@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

@malika335

Hi there! Building a robust, anti-bot resilient Python scraper using Selenium/Playwright and the YouTube Data API to automatically extract U.S.-based Real Estate, Finance, and Fitness channels (with 100 to 99,000 subscribers, verified emails, and video counts) into a precisely structured CSV file is right in my wheelhouse. I regularly build advanced web scraping pipelines and lead generation tools, so feel free to check my profile portfolio. Before we get started, would you like me to run a quick 10-row test sample first so you can verify the channel filters and email extraction accuracy before I process the full list? Once you share any additional preferences, I can map out everything cleanly and deliver the runnable script and CSV file step-by-step. Looking forward to working together! Best regards, Ahmad Hassan

@muneeb6767

I can build a clean YouTube-only prospect list for U.S. Real Estate, Finance, and Fitness channels, filtering by 100–99K subscribers and requiring publicly listed business emails. I’ll remove duplicates, capture current subscriber/video counts and scrape date, then provide the 10-row test file before the full pull.

@rajat07me

The tricky part here is not pulling channel names from YouTube — it’s meeting your QA standard with U.S.-only channels, the 100-99k subscriber filter, and 90%+ valid clickable emails without duplicates. I’d handle this with a structured scrape + validation pass, then send the 10-row sample first so you can confirm the format and filtering before the full run starts. I’ve worked on lead list building, structured scraping, and cleanup workflows where the real value is in accuracy rather than just volume. I can also set this up so the same workflow can be refreshed weekly instead of rebuilding the list from scratch each time. Roughly how many total rows do you want in the first batch, and do you want the niche classification based only on channel theme or also business/contact-page context where needed?

@h0ssam1

Hi I can write a customized python script for you to scrape the channels data. The script will be easy to rerun and you will also be able to add more niches if you want. You can award me after checking the 10 rows test file. I specialize in python web scraping and automation with over 4 years of experience. I would appreciate the opportunity to talk to you in more details. Best regards Hossam

@rimiloca

Hi, I can build a clean workflow to collect US YouTube business leads in Real Estate, Finance and Fitness, including public email, subscriber count and video count. I’ll filter duplicates, validate the emails, and provide a 10-row sample first so you can confirm the format before the full run. I can also make the workflow reusable for weekly batches.

@mahads31

With my proficiency in Data Entry, Excel and Python, I can streamline your project holistically. My objective is to help you with top-of-the-line scraping techniques, collecting the relevant information you need for your content agency. My skills in Python, Laravel, and Node.js also lend themselves well to building a workflow that can refresh this list weekly, ensuring you're always on top of the game with fresh prospects. Having developed custom software and systems for several industries, I'm familiar with the meticulous approach required when analyzing data. I pledge to offer a clean CSV file with all the columns specified in your requirements—business/channel name, channel URL, niche (Real Estate/Finance/Fitness), email, subscriber count, video count, and date scraped. Plus, I'll include a 10-row test file upfront so that you can confirm its format and filters beforehand. I am exceedingly focused on accuracy and efficiency—a combination that guarantees I will deliver your project within 48 hours without any duplicates and provide you with an impressive 90% valid emails. My dedication extends beyond individual projects; establishing productive long-term relationships is an essential part of my work ethic. Trust me with your YouTube business leads scraping task today and let's keep growing your business together into the future.

@ranjika08

Your acceptance criteria make this more of a data-quality job than a basic scrape, especially with the fresh-within-48-hours requirement and the need to skip every channel that lacks a public email. My approach would be to first lock the channel selection logic for Real Estate, Finance, and Fitness, then run email verification, dedupe the set, and deliver the CSV in exactly the column order you listed after the 10-row test file is approved. I’ve handled prospecting datasets where bad filtering creates unusable outreach lists, so I pay close attention to edge cases like creator channels vs actual businesses. If this passes QA, I can absolutely help you turn it into a repeatable weekly batch process as well. Do you already have a target row count for version one, and should excluded channels be omitted silently or logged in a separate sheet for transparency?

@mahrsaad211

available….

@misbahn209

I'II build your targeted U.S. YouTube prospect list for Real Estate, Finance & Fitness, filtering by subscriber range and collecting verified public business emails, subscriber counts & video counts without duplicates. I’ll first provide the 10-row test file for approval, then proceed with the full dataset!

@Sadqasi39

Hello, I have 4+ years of experience in influencer research and YouTube lead generation, and I’ve worked across many different niches. I already have lifestyle, male/female, finance, and business YouTube lead data available, including channel name, channel link, email, and current subscriber count. I can share a CSV sample in chat so you can check the format and data quality. If you need additional niches, I can use Modash, Upfluence, Apify, and other research tools to extract the relevant channels and then manually research and add business emails. I’ll keep the data clean, non-duplicate, and organized exactly according to your required columns. I’m ready to start immediately and can handle ongoing weekly batches as well. Regards, Qaiser Abbas

@zuaibahmedd

Hi, I can build a reliable YouTube business lead scraping workflow focused specifically on US Real Estate, Finance, and Fitness channels. I’ll collect and validate the required channel data, including business/channel name, URL, niche, publicly listed business email, subscriber count, video count, and scrape date, while removing duplicates and applying your 100–99K subscriber criteria. I can also provide a 10-row test sample first for approval, followed by the complete CSV. The workflow can be structured for easy future weekly refreshes as well. I’ll focus on clean data, accurate filtering, proper validation, and a reproducible Python-based workflow. Ready to start immediately.

@LibraWS

Hi there, I've read through your requirements carefully — U.S.-based Real Estate, Finance, and Fitness channels, subscriber range 100 to 99,000, with a publicly listed email, delivered in your specified CSV format within 48 hours of scraping. Here is exactly what I will deliver: A 10-row test file first, matching your column structure — Business/Channel Name, Channel URL, Niche, Email, Subscriber Count, Video Count, Date Scraped — so you can confirm filters and format before I run the full pull. The complete dataset will meet your 90% valid email threshold with no duplicate channels. For the workflow, I use the YouTube Data API combined with Python for filtering and data cleaning, which means I can schedule weekly refreshes if this first batch passes your QA. Since I am newer on this platform, I want to earn your trust through results, not promises. I am happy to work milestone-based — you only release payment once the data meets your acceptance criteria. Free revisions until it is right. I am based in Zadar, Croatia and available to start immediately. Looking forward to hearing from you.

@redstone01

As a seasoned data professional with more than a decade of experience in Data entry and Analysis, I understand the requirements and nuances of your project. My skills efficiently cover all aspects of it, including Python, Selenium, Puppeteer, and YouTube Data API workflow. Over the years, I have developed an acute eye for detail and efficiency while staying committed to maintaining high quality standards. In fact, in my tenure as a financial manager and an administrative support, I contributed to the creation of detailed financial reports, annual budgets, and even played a vital role in month-end and year-ends closing processes. These experiences honed my abilities to analyze patterns effectively, ensure data accuracy meticulously while also being time effective. Moreover, my familiarity with QuickBooks and Sage will be immensely beneficial when processing the data for you. I am well-prepared to handle strict timelines and deliver within them without compromising on quality. Also, I am open to working on your ongoing project after this initial exercise is successfully completed. Your satisfaction is my priority. With me onboard,you can expect perfectly organized data delivered accurately and promptly

@venkatsreekanth

Hello, I am interested in your project to collect U.S. YouTube business leads. While I do not have an existing YouTube scraping workflow using Selenium, Puppeteer, or the YouTube Data API, I have a strong technical support background and experience working with data, spreadsheets, and online research.

@ankits0192

Hello, You need a qualified prospect list, not just a YouTube scrape - every row must meet your U.S. location, niche, subscriber-range and public-email requirements and pass your QA criteria. I understand you need: * U.S.-based Real Estate, Finance and Fitness channels * 100–99,000 subscribers * Publicly listed business email required * Subscriber and video counts * Channel URL and niche classification * Fresh scrape date within 48 hours * Duplicate-free CSV with the exact requested columns * A 10-row test file before the complete collection My approach would be to build the channel collection and filtering logic first, extract the required public information, normalize and validate email fields, remove duplicate channels, and run QA before delivering the final CSV. I have experience with Python, Selenium, web scraping, data collection and structured CSV/Excel output. The workflow can also be designed so future batches can be refreshed consistently rather than manually rebuilding the process each time. A few questions: 1. Approximately how many qualified leads do you need in the first batch? 2. Should subscriber/video counts reflect the exact values visible at scrape time? 3. Do you have a preferred email validation method for the 90% requirement? 4. Would you like the scraper structured for future weekly batches? I can start with the 10-row sample so you can verify the format and filtering before the full run. Best regards, Ankit

@faithk149

A list is only as useful as its accuracy, and with lead lists the two things that break trust fastest are outdated subscriber numbers and emails that were never verified in the first place. Both are avoidable if the scrape is built right from the start. I'd pull this through the YouTube Data API rather than blind scraping, so subscriber counts, video counts, and channel details stay accurate and reflect real time data within your 48 hour window. Each channel gets checked for a genuine business email before inclusion, anything without one gets skipped rather than guessed at, which keeps your valid email rate well above the 90 percent you need. Real Estate, Finance, and Fitness get filtered and tagged separately from the start, so the CSV lands ready to use, not something you have to sort afterward. I'll send the 10 row test file first so you can confirm the format and filters before the full batch runs, and duplicates get removed automatically as part of the process. Once this passes QA, the same script can run weekly with minimal adjustment, giving you a fresh list on a consistent schedule instead of a one time pull. Want me to send that test file first so you can check the quality before we move to the full run?

@SoneJ

Hello, I understand that you're looking for a targeted list of U.S. businesses with an active YouTube presence in specific niches. This requires not just scraping data but ensuring the quality and relevance of the leads. I will approach this by employing Python and Selenium to efficiently extract the necessary information while adhering to your specified filters. I’ll ensure the format is clean and meets your requirements by providing a test file of 10 rows for your review before completing the full data pull. Communication will be key; I will keep you updated throughout the process and address any questions or adjustments promptly. To tailor the scraping process effectively, could you clarify if you have any specific criteria for the types of content published on the channels? Additionally, how frequently do you envision needing these updated lists? Regards, Soné Joubert