Python Web Scraping Script for 6 Platforms (Amazon, MercadoLibre, IG, FB, Vinted, TikTok)

@hirujiyu

Hi, Yes, I have strong experience building Python scrapers for eCommerce and social platforms, delivering clean, modular, and well-documented code with JSON/CSV outputs. For Amazon and MercadoLibre, I recommend using smart request throttling, realistic browser headers, session persistence, and selective residential proxy rotation only when needed, which significantly reduces proxy costs while maintaining reliability. I would build the solution primarily with Scrapy for performance and maintainability, integrating Playwright only for pages that require JavaScript rendering. The code will support proxy/VPN usage, user-agent rotation, modular selectors, and comply fully with public-data-only requirements and ethical scraping practices. Thank you.

@a4logic

Hello, Having spent over a decade embracing and honing my skills in web scraping, API development, and Python automation, I encompass the perfect skill set for taking on your project. My experience has seen me work in parallel with several large-scale platforms such as Amazon, MercadoLibre, Instagram, Facebook, Vinted, and TikTok - incorporating their unique requirements while staying within ethical boundaries. Deploying non-login methodologies, appropriate request pacing mechanisms, and employing dynamic headers with user-agent rotation signify my understanding of anti-bot resilience. Navigating TLS/anti-bot blocks on MercadoLibre and Amazon can be a minefield if not expertly managed. Drawing from my vast experience, I propose utilizing a combination of Scrapy, Playwright, and Selenium framework to tactfully handle the complexities faced when scraping these two platforms. This comprehensive technique ensures that we meet your compliance needs without incurring enormous monthly proxy costs. Lastly, my commitment doesn't stop at delivering clean and well-documented Python code providing JSON/CSV outputs. My focus remains on your continued satisfaction with the final results. As an entrepreneur myself, I regard building relationships based on quality workmanship and effective communication essentials. Let's join forces to construct something great while ensuring your independent functioning across all platforms is seamless. The succe Thanks!

@webperfection123

Hi, I can build a clean, modular Python scraping codebase covering all six platforms, with platform-specific adapters, configurable selectors, structured JSON/CSV output, logging, retries, pacing, and non-login public-data collection. For Amazon and MercadoLibre, I’d recommend realistic browser-like headers with conservative UA rotation and a small pool of reputable residential/ISP proxies used only when necessary, rather than expensive high-volume proxy rotation; Playwright is my preferred foundation, with lightweight HTTP requests where possible. I’ll structure the project so selectors, proxy settings, headers, and rate limits are configurable per platform, making maintenance straightforward as layouts change. I’ll provide source code only, documentation, and local verification guidance, with no credential bypassing or private-data harvesting.

@starttechno

I’ll build a modular Python scraper covering Amazon global domains, MercadoLibre LATAM, Instagram, Facebook, Vinted, and TikTok, limited to public, non-login data and respectful request pacing. For MercadoLibre and Amazon, I recommend session-based rotating headers with realistic browser profiles and low-volume direct requests first, using a small, rotating proxy pool only when necessary rather than expensive residential plans. I’ll use Scrapy for the crawl, with Playwright fallback for JavaScript-rendered public pages, plus separate adapters/selectors per platform for easy maintenance. Outputs will be normalized to clean JSON and CSV, with retries, throttling, logging, proxy/VPN configuration, and clear setup documentation; no password bypassing or private PII collection. I recently built an automation workflow involving Google Maps discovery, contact scraping, personalized processing, and paced sending, so I’m comfortable with robust extraction pipelines. Should the output schema be shared across all six platforms, or may each platform include its own extra fields? Muhammad Saad

@seefattechnologi

Hello!^^^^^^I understand your requirements. I have 10 years of experience with Python, web scraping, Playwright, Scrapy, APIs, JSON/CSV processing, and automation. I can build clean, modular, maintainable scrapers for Amazon, MercadoLibre, Instagram, Facebook, Vinted, and TikTok, using only public/non-login data with respectful request pacing. For MercadoLibre and Amazon, I recommend rotating realistic headers/user-agents with low-volume residential proxies only where permitted, rather than expensive proxy pools. I’d use Playwright for dynamic sites and Scrapy for scalable extraction, with modular selectors and structured JSON/CSV output. Question: Do you need all six platforms delivered as separate independent scraper modules? Thanks!! Parminder

@ZohaibRoy

⭐⭐⭐⭐⭐ Create Efficient Python Code for Data Extraction from Multiple Platforms ❇️ Hi My Friend, hope you are doing well. I just checked all of your project requirements and I see you are looking for a developer to create Python source code for data extraction. You have no need to look any further as Zohaib is here to help you! My team has successfully completed over 50 similar projects focused on data extraction. I will ensure the code is clean and modular, using best practices to deliver efficient results. ➡️ Why Me? I can easily do your project as I have 5 years of experience in Python development, specializing in data scraping, web automation, and API integration. My expertise includes creating robust scrapers that respect compliance and ethics. I also have a strong grip on dynamic header management and user-agent rotation. ➡️ Let's have a quick chat to discuss your project in detail and let me show you samples of my previous work. Looking forward to discussing with you in chat. ➡️ Skills & Experience: ✅ Python Development ✅ Web Scraping ✅ Data Extraction ✅ API Integration ✅ Modular Code Design ✅ JSON/CSV Output ✅ Compliance Awareness ✅ Dynamic Header Management ✅ User-Agent Rotation ✅ Proxy/VPN Support ✅ Error Handling ✅ Documentation Waiting for your response! Best Regards, Zohaib

@sagarwal3005

To effectively scrape data from platforms like Amazon and MercadoLibre while avoiding TLS/anti-bot blocks, I recommend implementing a user-agent rotation strategy combined with a dynamic proxy pool that can adapt to changes in IP behavior and request patterns. Using Playwright would allow for more robust anti-bot measures, as it can handle headless browsing and simulate real user interactions. I can build this with Python, utilizing libraries like Requests, BeautifulSoup for parsing, and handling JSON/CSV output as specified. My skill set includes web scraping, third-party API integration, and data extraction, which aligns perfectly with your requirements. I have a 4.9-star rating across 200 client reviews and have completed 220 projects, ensuring quality work. What specific data points do you want to prioritize across the platforms mentioned?

@belalihabibullah

Dear Sir, I can start to work immediately. INBOX ME I have just read your project description and I can help you with my experiences. I am able to work in your time zone. I did this kind of project before. I am interested in your project. I'm professional web scraping expert with 5 years’ experience, I have completed over 100+ scraping projects for my company. The code will be built of python web scraping libraries. Such as Scrapy, Selenium, Requests, Beautiful Soup - information from output excel, CSV. I am highly confident about that. I can do this work with accuracy. Also, I make sure to give 100% quality and commitment to work. If you like me for this project then I would love to hear from you. Don't hesitate to give me a shout or ask me a question if you have any :) Please kindly drop me a message for further discussion. Thanks Habibullah B

@C0RETECHIES

Hi, For Amazon and MercadoLibre, I recommend using TLS-fingerprint spoofing (via curl_cffi or Python tls_client) paired with a tiered proxy strategy-rotating datacenter proxies for initial requests, failing over to pay-as-you-go residential proxies only when blocked. This bypasses JA3/TLS fingerprinting without massive costs. I will build this using a hybrid framework: Scrapy for high-speed, static extraction (Amazon, MercadoLibre, Vinted) and Playwright (undetected) for JavaScript-heavy platforms (TikTok, IG, FB). Technical approach: I'll deliver clean Python scripts with modular CSS/XPath selectors isolated in configuration files for easy layout updates. It will feature intelligent pacing, UA/header rotation, and output strictly to JSON/CSV without requiring authentication. Relevant systems: - Automated Lead Generator (multi-source data extraction pipeline) - Social Media Content Generator (automated scraping workflows) Regards, Rohit

@kanika6665

Hi, I’ve read your scope carefully and can build clean, modular Python source code for all 6 platforms with JSON/CSV outputs, non-login collection, respectful pacing, and update-friendly selectors. For Amazon and MercadoLibre, I recommend lightweight residential proxy rotation only on challenge-prone requests, paired with stable session headers and Playwright-driven fallback flows where TLS fingerprinting matters; the core framework will be Scrapy for maintainability and speed. I have strong experience delivering Python data extraction systems focused on public data processing, resilient scraper structure, and documentation for independent local execution. I can deliver source code with clear setup notes and milestone-ready validation within 10 days. Would you like each platform delivered as a separate modular scraper with a unified output schema for all fields? Best regards, KANIKA

@Joya1996

Since you need source code only and will run it locally, the codebase needs to be easy to maintain when selectors or anti-bot behavior change. For Amazon and MercadoLibre, I’d recommend Playwright in Python with persistent sessions, real browser header profiles, low-rate residential proxies only where needed, and request-based scraping for simpler endpoints so costs stay controlled. The risky part in projects like this is mixing all platforms into one brittle script. I’d separate platform modules, normalize outputs into JSON/CSV cleanly, and document where headers, pacing, selectors, and proxy settings can be adjusted on your end. - Are there specific Amazon country domains and MercadoLibre countries you need first? - Do you want engagement metrics only where publicly visible, with blanks where platforms do not expose them consistently?

@usmanbashir12100

Hi, I can build a modular Python data-collection framework for publicly accessible product and seller information, with clean JSON/CSV outputs and maintainable extractors per platform. I recommend Scrapy for efficient static/public pages and Playwright only where JavaScript rendering is genuinely required. For Amazon and MercadoLibre, I’d prioritize low request rates, caching, stable sessions, and compliant data-access methods rather than aggressive fingerprint or anti-bot evasion techniques. A few questions: * Which specific Amazon marketplaces and MercadoLibre country domains must be supported initially? * What approximate daily request volume and product count do you expect per platform? * Should each platform share a normalized output schema, or preserve platform-specific fields alongside common fields? Best regards, Muhammad Usman

@asifdwan

Hi, I can build clean, modular Python collectors for the requested platforms, using non-login/public data methods and respecting each platform’s access rules and request limits. For Amazon/MercadoLibre, I’d favor official APIs where available and low-cost, stable HTTP sessions with consistent headers rather than relying on expensive proxy rotation; for browser-rendered public pages, I’d use Playwright with Scrapy for scalable crawling, modular selectors, retries, caching, and structured JSON/CSV output. Amazon’s current documentation also recommends its supported APIs for programmatic product data access.

@justmian876

As the leader of BN-Droids Digital Services, I'm confident that we are the perfect team for your complex web scraping project. With our vast experience in data extraction and automated processes, we've specifically scraped over 1 million data records daily with high efficiency and precision—similar to the magnitude you require. In fact, we've successfully managed databases containing more than 20 million retail and business records from various regions of interest to you including the USA, UAE, Europe, Australia and Canada.

@TanvirKhanPaple

Hi there! Project is very clear to me and I can build clean, modular Python scrapers for Amazon, MercadoLibre, Instagram, Facebook, Vinted, and TikTok, extracting only public data and delivering well-documented JSON/CSV outputs. For Amazon and MercadoLibre, I recommend conservative request pacing, session-aware headers, and a small pool of compliant proxies rather than aggressive rotation, prioritizing reliability and avoiding unnecessary proxy costs. I’d use Playwright + Scrapy where appropriate, with modular selectors and reusable extraction components. I can prioritize data completeness and reliability over maximum throughput for the initial version. Just message me I am ready to start now and i will show you few data sample before start. Thank you.

@toriquldev123

Hello There! I’m Md Toriqul Islam, an experienced Python & Data Scraping Developer with 10+ years of experience in web scraping, automation, API/data extraction, proxy management, and structured data pipelines. I understand you need clean, modular Python source code to extract only public product, image, seller, and engagement data from Amazon, MercadoLibre, Instagram, Facebook, Vinted, and TikTok, with no-login methods and clean JSON/CSV outputs. I have rich experience in Python, Scrapy, Playwright, Selenium, rotating headers/user-agents, proxy integration, modular selectors, and scraper maintenance. I am skilled in building maintainable scraping systems, handling dynamic websites, optimizing request strategies, structuring clean datasets, and creating modular selectors for future updates. I’m ready to provide well-documented source code and validate local execution across all platforms. I have some questions: 1) Which CRM are you currently using, and do you already have the required API/integration credentials? 2) Do you have a preferred WordPress builder such as Elementor, Divi, or Gutenberg? 3) How many landing pages are you planning to build after the pilot page? Looking forward to hearing from you. Best regards, Md Toriqul Islam

@shivansh121

Hi, Yes,I can write clean, modular Python source code to extract public product, image, and seller data from Amazon. I have done similar work before so I assure you that I can do this job perfectly within required time and reasonable budget. Message me here & LET'S GET STARTED THE WORK. Regards, Shalu

@tarun308

Hi, To avoid TLS/anti-bot blocks on MercadoLibre and Amazon without high proxy costs, I recommend using curl_cffi (cURL Impersonate) to mimic Chrome’s exact browser TLS/JA3 fingerprints at the HTTP level alongside standard datacenter/datacenter-rotating proxies for non-sensitive endpoints, resorting to residential proxies strictly on dynamic fallback triggers. I will build the suite on Scrapy, utilizing scrapy-playwright or headless Playwright only when JavaScript execution or social media streams (TikTok/IG/FB) require dynamic DOM rendering. What I Will Deliver: Clean, modular Python scripts for Amazon, MercadoLibre, Instagram, Facebook, Vinted, and TikTok. Dynamic header management, user-agent rotation, and customizable proxy/VPN configuration. Fully documented source code exporting verified JSON/CSV schemas. Compliance with non-login methods and respectful request pacing. Ready to provide clean, local-execution-ready scripts upon milestone assignment.

@shrec

Hi, I’d build this as modular Python scrapers with a shared data/output layer, keeping each platform isolated so selectors and extraction logic can be updated independently. I’d stick strictly to public, non-login data and include respectful request pacing rather than relying on aggressive bypass techniques. For MercadoLibre and Amazon, I’d recommend a small rotating pool of reputable residential or ISP proxies combined with realistic, consistent browser headers and conservative request rates, rather than expensive large-scale proxy rotation. I’d use Playwright where browser rendering is needed, with Scrapy/HTTP requests for endpoints that can be collected reliably without a browser, giving you a lighter and more maintainable setup. The output would be clean JSON/CSV with clear documentation for running and scheduling everything in your own environment. Best, Ivane