Apollo.io Data Scraping Report Cleaning Tutorial - Apollo io unlimited Export Services
Apollo.io Data Scraping Report Cleaning Tutorial - Apollo io unlimited Export Services: https://swiy.co/amin
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Assalamu Alaikum and welcome back to my YouTube channel! In this video, I'll guide you through another Apollo data exporting and report-making process. Before we dive into the tutorial, if you're new to my channel, please consider subscribing. If you need unlimited data exporting from Apollo or Google Maps, or if you want to verify your email list using Million Verifier or Rion Email Verifier, please don't hesitate to contact me. You'll find all my contact details in the video description below.
Let's get started with the main tutorial. I'll be showing you the data I exported for one of my clients. The client provided three Apollo links, from which we successfully exported all the data. The first link contained over 1,500 records, the second over 17,000, and the third over 43,000. After exporting all this data, the client asked me to verify the emails using Million Verifier.
If you need bulk email verification services using Million Verifier at an affordable rate, feel free to reach out to me. I provide this service as well. After verifying the emails, we encountered a common issue: some emails were marked as invalid, some as risky, and some as good quality. It's crucial to identify and categorize these emails correctly after completing the verification.
I combined all the emails into a single notepad file, uploaded it to Million Verifier, and generated a report. The report contained a total of 62,000 emails. Some were of good quality, while others were risky or invalid. Now, we need to match these emails with our Apollo report. To help my clients understand the situation, I also provide a certificate from Million Verifier, outlining the status of each email.
Next, I used Excel's VLOOKUP formula to match the verified email statuses with the main Apollo report. This formula helps us pull in the quality and result columns for each email. I'll walk you through the process of writing the VLOOKUP formula, selecting the appropriate columns, and ensuring the data is matched correctly.
Once the formula is applied, I converted all the formulas into values to finalize the report. I then sorted the data based on the email quality, placing all the good quality emails at the top and the bad ones at the bottom. This is the system I follow to create accurate reports for my clients.
If you need Apollo data scraping services at a competitive rate or email verification services using Million Verifier, please contact me. Thank you for watching this video, and I'll see you in the next one with more advanced Apollo data scraping tutorials!
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