Scrape 10M+ E-commerce Products

@a4logic

Hello, My years in web development, automation, and web scraping fully equip me to undertake your project with the utmost confidence. I have experience handling large-scale scrapes involving millions of records, so managing 10M+ e-commerce products will not be a problem for me. My knowledge of headless and distributed scraping, as well as maintaining rotating proxies for anti-bot measures will ensure smooth sailing throughout the scrape. If any interruptions occur, you can count on my solution resuming gracefully, minimizing downtime. In terms of data handling and delivery, there's no second-guessing. Crafting clean CSV files is second nature to me; I understand the importance of meticulously organizing each field, row, and character. I will adhere to your specifications regarding UTF-8 encoding and comma-delimited formatting. Before we run the full scrape, I'll even provide an acceptance testing sample of a few thousand items so you can verify my quality outputs upfront. Beyond the technical expertise, what sets me apart is my commitment to long-term support. Even after delivering a high-quality and well-structured CSV file ready for your analytics pipeline, you can always count on my assistance should any issues crop up or you need additional guidance. Your satisfaction is my priority; therefore, I pledge to complete your project accurately and efficiently - let's build something great together! Thanks!

@gotucat

Hi, I reviewed your need for a reliable, large-scale scraping routine that pulls 10M+ e-commerce products, capturing product name, full description, and current price into import-ready CSV. I’ll build a headless distributed scraping pipeline using rotating proxies to handle throttling, captchas, and interruptions while keeping output well-structured: one row per SKU, UTF-8, comma-delimited. I’ll include data management and data processing steps so the dataset stays consistent and clean across the full harvest, with resume support after failures. You’ll get stable runs, clean CSV exports, and responsive updates during acceptance testing on a few thousand items. Let’s discuss here now.

@ZohaibRoy

⭐⭐⭐⭐⭐ Build a Large-Scale Scraping Routine for Product Data ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project requirements and noticed you're looking for a reliable, large-scale scraping routine. You don’t need to search any further; Zohaib is here to help you! My team has successfully completed 50+ similar projects for data scraping. I will create a solution that can pull over ten million product records efficiently, ensuring it runs smoothly even with challenges like rotating proxies and captchas. ➡️ Why Me? I can easily handle your large-scale scraping needs as I have 5 years of experience in web scraping, specializing in data extraction and automation. My expertise includes working with various scraping tools, managing data formats, and ensuring clean outputs. Additionally, I have a strong grip on technologies like Python and data handling, ensuring your project is in capable hands. ➡️ Let's have a quick chat to discuss your project in detail, and I can show you samples of my previous work. Looking forward to discussing this with you in our chat. ➡️ Skills & Experience: ✅ Web Scraping ✅ Data Extraction ✅ Python Programming ✅ Automation ✅ CSV Formatting ✅ API Handling ✅ Proxy Management ✅ Data Cleaning ✅ Error Handling ✅ Distributed Systems ✅ Captcha Bypass ✅ Data Analysis Waiting for your response! Best Regards, Zohaib

@raphaelokekeze

Scraping 10M+ records requires a robust, distributed architecture to handle proxy rotation and anti-bot measures effectively. I can build a headless solution that ensures data integrity for your CSV pipeline while incorporating the necessary checkpoints to allow for graceful resumption during large-scale harvesting. My 15 years of technical experience in system administration, Linux environments, and PHP development allows me to handle the backend infrastructure for this task. I have managed complex data migrations and web services, and I am comfortable working within AWS to ensure the scraping routine remains performant and scalable throughout the entire extraction process. I can complete the initial test run and provide the sample data for $119.43 within 1 day. Let me know which marketplaces you are targeting first so I can begin configuring the extraction scripts.

@starttechno

Your 10M+ product harvest needs a fault-tolerant pipeline rather than a one-off scraper. I’ll build it in Python with Scrapy for high-throughput extraction and Playwright only where JavaScript rendering is required, running distributed workers on AWS with queue-based job management. Each worker will support rotating proxies, marketplace-aware throttling, retries, timeout handling, and captcha detection with a controlled pause/handling flow that respects site access rules. Progress will be checkpointed by SKU and URL so interrupted jobs resume without duplicating completed records. I’ll normalize the product name, full description, current price, and SKU, validate missing or malformed values, remove duplicates, and write UTF-8 comma-delimited CSV files with one row per SKU. The process will first run against a few thousand items for acceptance testing, with logs and error reports included, then scale to the complete harvest after approval. Which marketplace URL should I use for the initial few-thousand-item sample? Muhammad Saad

@saqibmunir55

hi can you share marketplace link, and yes i can provide you sample upfront please share market place link so I can write code and check how much proxies cost and you just need product data file at the end no scprit right

@DeveloperStation

Hi, I've built a Chrome-based product scraper before, so the marketplace extraction, field parsing, and CSV export are familiar mechanics for me. One thing worth deciding early: at ten million records across several marketplaces, the real cost is proxy rotation and captcha handling, not the parsing. I'd run it distributed with a checkpointed job queue in Redis so a crash resumes from the last SKU instead of restarting. What marketplaces specifically, and do you have proxy access already or should I plan for it? On the AI e-commerce side we've built tooling that pulls and processes Amazon listing data at scale. Descripio: analyzes and optimizes Amazon product listings I'd start with the sample batch as the first milestone so you only release once the CSV passes your import. Which marketplace should the sample cover? Adil

@sagarwal3005

I understand you're looking for a reliable, large-scale scraping solution to extract over ten million product records from major online marketplaces. I can create a robust headless scraping routine using tools like Puppeteer or Selenium, ensuring it handles rotating proxies, captchas, and throttling while being resilient to interruptions and exporting clean UTF-8 CSV files as specified. With a solid track record of a 4.9-star rating across 200 client reviews and 220 projects completed, I prioritize delivering high-quality solutions tailored to client needs. Could you clarify which online marketplaces you are targeting for the scraping?

@Junaid221

With my specialized skill set in data extraction and web scraping, I am confident that I can deliver precisely to your requirements for this project—efficiently extracting the three specific fields you need (product name, description, and price) from over ten million product records on diverse online marketplaces. I've previously worked on similar scraping projects at large-scale and understand the challenges often faced in such operations. That's why I've developed a thoroughly headless, distributed solution that adeptly handles rotating proxies, captchas, and throttling while ensuring smooth progress even after interruptions. In terms of data delivery, I'll provide well-structured CSV files that perfectly align with your analytics pipeline—a one row per SKU format, in UTF-8 with comma delimiting. You can also rely on me for meticulous error handling and resumption built into the system, guaranteeing minimal disruptions and maximum efficiency throughout the process. I've implemented these strategies successfully in the past and aim to deliver the same level of quality for your project. Best, Junaid.

@asifdwan

As a dedicated and detail-oriented web scraping specialist with hands-on experience extracting data from complex and protected websites, I am confident that I am the best fit for your e-commerce scraping project. My notable Python skills include Selenium, BeautifulSoup, Scrapy, Requests, and more — all crucial tools for scaling efficient data extraction. I have successfully scraped thousands of websites with advanced anti-bot protection like Cloudflare and Incapsula, which can testify to my capability to handle the challenges your project may present. Moreover, my expertise extends beyond crawling websites as task completion implies transforming the unstructured data into a structured and deliverable form. I have considerable proficiency in working with CSV files including navigating encoding issues and ensuring clean output - essential for your data importation process. Lastly, the scale of your project is not daunting to me. I stand out among my peers thanks to unrivaled dedication to my clients and projects as shown by my full-time freelancer status. With me on board, you can expect on-time delivery of reliable data, consistent communication, and most importantly a solution tailored precisely to your needs. Let's initiate a conversation about your e-commerce scraping needs and discuss how we can make this partnership excel!

@kanika6665

Hi, I’ve read your scraping brief carefully, and I’m confident I can build a reliable large-scale routine to collect 10M+ marketplace products with clean CSV delivery. The sample-first acceptance flow makes sense, and I can structure the scraper to run headless, recover from interruptions, and support distributed execution for stable long-run harvesting. My relevant experience aligns well with Python, Web Services, Data Processing, and Web Scraping workflows. I can design the pipeline to handle rotating proxies, throttling logic, retry queues, checkpoint-based resume, UTF-8 CSV exports, and clean field normalization for product name, description, and current price. I’ll start with a few thousand records as a validation batch, then scale the architecture for the full run once approved. I can begin right away and deliver the sample phase within a few days, followed by the full production-ready routine and export process. Which marketplaces should we prioritize first so I can tailor the anti-bot and scaling strategy playfully but precisely? Best regards, KANIKA

@justmian876

As the leader of BN-Droids Digital Services, I am confident in saying that we are your best choice for this project. With our extensive experience in data scraping and mining, we've developed an expertise in handling large-scale jobs, even surpassing your current requirement of 10 million product records. We are also skilled at scraping specifically for e-commerce data, giving us a deep understanding of your specific needs.

@naminghn

Hi there, To begin with a solid scraping solution, I can build a robust routine that meets your requirements for pulling over ten million product records efficiently. My approach will include managing rotating proxies, handling captchas, and ensuring the script can resume gracefully after interruptions. I will also ensure that the exported CSV files are clean and structured appropriately for easy integration into your analytics pipeline. Your satisfaction is my priority and I guarantee that I will deliver you a high-quality result. Regards, Ali

@denisSolution

Hi, This is a classic scale-and-reliability problem. The main challenge isn’t just hitting ten million records; it’s keeping the flow alive when sites rotate IP blocks, throw captchas, or throttle aggressively. A single-threaded script will die quickly, so the design needs to split the work across many workers, handle retries, and save state so interruptions don’t mean starting over. I’ve built something similar for a large product catalog before, where the pipeline had to run headless, rotate proxies, and still deliver clean CSVs for downstream analytics. The same principles apply here—chunk the URLs, use message queues to balance load, and keep the output format simple and import-ready. For the deep dive, the weakest point is usually captcha handling and proxy rotation. Buying a fresh proxy pool solves half the problem, but once captchas appear you need either a solver service or a fallback queue that re-queues the same item with a different IP after a delay. I’d start with a small test batch, measure failure rates, and adjust the retry/backoff logic until the error rate stays low. Unknowns that could slow things down: the exact structure of the target sites (some hide SKUs in ways that break simple selectors) and whether the pricing data is dynamic (real-time price changes might require daily resets). We can validate these early with the sample run. Thanks, Denis.

@krupnovdenis

Hello! We can build a reliable large-scale scraping solution for this data task. 1. Which marketplaces should we prioritize first? 2. Do you already have proxy and captcha handling preferences? — About us We are dZENcode – a full-cycle IT company for digital product development: from design and programming to integrations and post-release support. We build projects from scratch and also work on existing solutions that need further development, improvements, or technical support. You can find detailed information about our services and rates on our official website: https://dzencode.com. Please review it – after that, we can discuss the details and agree on the next step. ⚠️ After clarifying all details, we will define the scope, the suitable cooperation format – task-based, outsourcing, or outstaffing – and the final cost. Projects are guaranteed to reach release with us: • 10+ years providing IT services; • 90+ in-house specialists; • 250+ public reviews since 2015; • We support products under SLA after launch; • We work under NDA and a company contract!

@ashinnd84

Hi, Your project "Scrape 10M+ E-commerce Products" is a good fit -- Python backend and automation work is my main line of work. How I would run it: 1. Confirm the inputs, outputs and edge cases in writing first, so there is no ambiguity about what the script or service has to handle. 2. Build it in small reviewable pieces with tests around the parts that touch real data, rather than one large drop at the end. 3. Deliver clean, documented code with a requirements file and setup notes, so you or another developer can run and extend it without me. Matching your listed skills: Data Extraction, Data Management, Data Processing, Data Collection, Web Scraping, Python, PHP, Amazon Web Services. My bid is $213, within your $30-250 range. Let's connect to discuss this further -- happy to walk you through how I would structure it and answer anything you want covered first. Thanks for your time. Best regards, Ashish & Team

@toriquldev123

Hello There! I’m Md Toriqul Islam, an experienced data extraction and automation developer specializing in scalable scraping pipelines, distributed processing, and clean structured datasets. I’m excited to build a reliable solution for your large-scale product data requirements. I have rich experience in Python, Scrapy, Playwright/Selenium, APIs, distributed workers, proxy management, throttling, data cleaning, CSV generation, and fault-tolerant scraping pipelines. I am skilled in Python, Scrapy, Playwright, headless automation, queue-based processing, retry/resume systems, data validation, deduplication, and UTF-8 CSV exports. I understand you need a scalable pipeline capable of processing millions of marketplace product records while extracting product name, full description, and current price, with resumability and clean SKU-level CSV output. I can first deliver a few-thousand-item sample for validation before scaling up. I’m ready to start immediately and can design the architecture around reliable, maintainable, and efficient large-volume processing. Looking forward to hearing from you. Best regards, Md Toriqul Islam

@maxscender

I can help you. I’ll build a scraper that handles 10M+ product records across major e-commerce platforms, extracting only name, description, and current price. It runs headless, distributes across workers, rotates proxies automatically, and retries intelligently on CAPTCHAs and rate limits—so you don’t lose data mid-run. Checkpointing means it resumes exactly where it stopped, no duplicate rows. Output is clean UTF-8 CSV, one line per SKU, with no extra fields or formatting noise. You provide a few thousand sample SKUs for acceptance testing. I’ll verify data quality and completeness against your requirements, then scale up for the full harvest. No fluff—just a working pipeline that gets you the data you need, reliably.

@codingnbranding

Hi, I can build a **reliable, scalable headless scraping system** for your 10M+ product dataset, with a strong focus on performance, stability, and clean data output. I have **10+ years of Full-Stack experience and 1000+ completed projects**, with expertise in **PHP, Node.js, Laravel, APIs, and e-commerce platforms** including WooCommerce and marketplaces. I can handle: • Headless and distributed scraping architecture • Proxy rotation, throttling, retries, and failure recovery • CAPTCHA handling where permitted • Extract product name, description, and current price • Large-scale processing with resumable jobs • UTF-8, comma-delimited CSV generation • Testing with a smaller dataset before the full run • Logging, monitoring, and documentation I focus on building **fast, reliable, and maintainable systems** that can handle large datasets without losing progress when interruptions occur. Share the target websites and scraping requirements, and I can review the best approach and get started. Best, Shaili