You will get Creating a Service for High-Quality Lead Generation & Botting, 1M+ Leads.
You will get Creating a Service for High-Quality Lead Generation & Botting, 1M+ Leads.
Project details
As an expert in lead generation, I specialize in efficiently scraping high volumes of data from heavily protected sites, specifically those secured by PerimeterX. What sets this project apart is its unique combination of speed, scale, and security. Even for ambitious targets like scraping over 1 million leads, I guarantee a turnaround time of just 3 days. This rapid delivery is made possible by a scalable approach that I've developed and refined. My method optimizes both the speed and accuracy of data extraction, ensuring that you receive high-quality leads without compromising on time. By choosing this service, you're not just getting leads; you're also getting them faster than ever thought possible, all while adhering to stringent security standards. This project is ideal for businesses that need a quick influx of leads to stay ahead in competitive markets. The combination of speed, volume, and adherence to security makes this service uniquely effective and valuable.
Popular Sites Protected By PX:
Zillow
Sheikh
StockX
Walmart
... 1000+ sites.
Popular Sites Protected By PX:
Zillow
Sheikh
StockX
Walmart
... 1000+ sites.
Industry
Mining, Real Estate, Tech & ITWhat's included
| Service Tiers |
Starter
$90
|
Standard
$360
|
Advanced
$9,000
|
|---|---|---|---|
| Delivery Time | 1 day | 1 day | 3 days |
Number of Revisions | 1 | 1 | 1 |
Number of Leads | 10000 | 40000 | 1000000 |
Formatting & Clean Up | |||
Appointment Setting | |||
Lead Nurturing |
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AW
Andrew W.
Mar 20, 2023
API / Data Sync Development Specialist
JH
Jake H.
Jan 11, 2021
Web Scraping / Data Pipeline Project
JH
Jake H.
Dec 15, 2020
Web Scraping / Data Pipeline Project
Great work - will use again.
ML
Michael L.
Dec 10, 2020
Facebook Marketing API Experienced Dev (for TikTok API)
MS
Mac S.
Dec 8, 2020
Collect data about open source software projects
Quite flexible and worked quickly. Will work with again.
About Biplov
Large Scale Data Scraping Expert
Hercules, United States - 10:35 pm local time
Portfolio Site: https://www .biplovdahal.com
I am an experienced and proficient web scraper using Python to obtain very large amounts of data from a variety of online sources. I do fixed-price work and have successfully pulled data from 100's of sites with examples being business locations, directories, public information, IMDB movie info, sports-reference stats, music charts, Forbes company rankings/info, ESPN player pages, Google search results, as well as hundreds of other queries of all genres. You can see some of my results via the data sets which are used on my big data quiz site, hugequiz.com.
I have been able to retrieve data from articles, tables, lists, recursively via search results, from sites with AJAX/Javascript, and even when authentication is required. Any project you have I would be able to discuss and preview the site(s) which need to be scraped in order to provide you the output you are looking for in .CSV or other format.
I help my clients with:
✔️ Yelp data scraping
✔️ Web scraping
✔️ Data extraction
✔️ Web crawling
✔️ Web Programming
✔️ Data Processing
✔️ Data Cleansing
✔️ ETL (Extract, Transform and Load)
✔️ Algorithm Development
✔️ Desktop Applications
✔️ Bot Development
✔️ API Development
Having 12+ years of commercial experience in software development, I stay up-to-date with the latest technologies.
Steps for completing your project
After purchasing the project, send requirements so Biplov can start the project.
Delivery time starts when Biplov receives requirements from you.
Biplov works on your project following the steps below.
Revisions may occur after the delivery date.
I would need the website URL from you.
Provide the URL of the site for scraping. Essential for assessing scope and planning. I'll verify if it's PerimeterX-protected, as I specialize in such sites.
Confirm how many pages you are planning to target
State the number of pages you aim to scrape. This helps in resource allocation, timeline estimation, and developing an efficient scraping strategy.