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

@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

@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

@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?

@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

@ixorawebmob

Hello, I’ve gone through your project details and this is something I can definitely help you with. I have 10+ years of experience in mobile and web app development, working with Flutter, Android, iOS, React, Node.js, and APIs. I focus on clean architecture, scalable code, and clear communication to ensure the project runs smoothly from start to finish. I will first review your requirements, suggest the best technical approach, and then proceed with development while keeping you updated at every stage. Here is my portfolio: https://www.freelancer.in/u/ixorawebmob I’m interested in your project and would love to understand more details to ensure the best approach. Could you clarify: 1. Do you need this for mobile, web, or both? 2. Do you already have UI/UX designs or should we create them? 3. Will there be any third-party API or payment gateway integration? 4. What is your expected timeline for completion? 5. Are there any reference apps or websites you like? What proxy and headers strategy do you prefer for optimal performance during scraping? Let’s discuss over chat! Regards, Arpit Jaiswal

@naminghn

Hi there, I recommend using rotating user-agent headers alongside a reliable proxy service that can provide residential IPs to reduce the risk of anti-bot detection on both MercadoLibre and Amazon. For the scraping framework, I would suggest using Scrapy due to its excellent handling of concurrent requests and built-in support for proxy rotation. Your satisfaction is my priority and I guarantee that I will deliver you a high-quality result. Regards, Ali

@denisSolution

Hi, I'm Denis, a full-stack developer who has built several scraping systems handling large-scale public data extraction across e-commerce and social platforms. For MercadoLibre and Amazon, I recommend using rotating residential proxies with provider selection prioritizing low-cost regions like Brazil and Mexico, combined with TLS 1.3-compatible user-agent strings that mimic common browser versions. Playwright fits this best—it handles JavaScript-heavy pages smoothly while offering built-in proxy rotation and automatic retries, reducing the need for external proxy management tools. The scraper will be built with Scrapy for core logic, Playwright for dynamic pages, and modular CSS/XPath selectors stored in separate config files for easy updates. Each platform will run in isolated pipelines with configurable request pacing to avoid rate limits without excessive proxy rotation. I can start working right away. Let's connect and discuss the details. Thanks, Denis.

@johnallenvillan1

Hi there, Amazon, MercadoLibre, IG, FB, Vinted, and TikTok public data extraction needs modular code, not brittle one-off scripts. I’ve spent the last 4 years solving exactly this type of problem; I’ve delivered multi-site scrapers with rotating headers, structured JSON/CSV output, and selector update layers that survived layout changes. The real risk here is anti-bot behavior and inconsistent page structures across marketplaces and social platforms. I’ll keep everything non-login, respect pacing, and isolate each platform into its own module so failures don’t cascade. I’ll build this on Playwright for the dynamic sites and Scrapy for fast, repeatable crawling where static requests are enough. For MercadoLibre and Amazon, I’d use low-volume residential or mobile proxies only for flagged routes, plus realistic TLS fingerprints, stable header sets, cookie reuse, and per-domain rotation to avoid burning expensive proxy bandwidth. Best regards, John allen.

@mattafareed4848

Hello I can build clean, modular Python scrapers for all listed platforms using non-login methods, with structured JSON/CSV output, rotating headers/user-agents, respectful pacing, and maintainable selectors. I recommend using a small pool of reputable residential/ISP proxies with realistic browser headers and session-aware rotation for MercadoLibre and Amazon, rather than expensive large proxy pools; I’d build the system primarily with Scrapy and Playwright where browser rendering is required. I’ll provide fully documented source code and verify local execution across all platforms. Regards Muhammad

@MSaadJaved

I’ll build clean, modular Python scrapers for Amazon, MercadoLibre, Instagram, Facebook, Vinted, and TikTok that extract public product, image, seller, and engagement data into JSON and CSV. I’ll structure the code with reusable selectors, dynamic headers, user agent rotation, respectful pacing, and proxy support so each platform is easy to update when layouts change. For MercadoLibre and Amazon, I recommend a low cost rotating residential proxy setup only for blocked endpoints, combined with per domain header profiles, session reuse, and realistic browser fingerprints to reduce TLS and anti bot triggers without heavy proxy spend. I’d build this on Playwright for the most dynamic targets, with modular Python code that keeps the scraping logic clean and maintainable. Best, NexLoom Labs

@TheSecondSource

Warm Hello! I can build clean, modular Python scrapers that collect public product, image, seller, and engagement data across Amazon, MercadoLibre, Instagram, Facebook, Vinted, and TikTok, with maintainable selectors and JSON/CSV outputs. I have over 9 years of experience in this field. Here's how I can help: Build modular Scrapy + Playwright architecture Implement respectful pacing, headers and session handling Add configurable proxy support without unnecessary proxy spend Deliver documented, locally executable source code For MercadoLibre/Amazon, I recommend realistic browser headers/session profiles with low-cost rotating residential proxies only when needed, rather than aggressive proxy rotation; Playwright is my preferred base, with Scrapy for structured crawling. Are there specific fields or page types you want prioritised? What local Python/OS environment will you use for verification?

@ImranAli01

Hi, I got that you are looking for a skilled developer to create a Python web scraping script to extract product, image, and seller data from various platforms. This is what I can help you with, let's chat. My approach is to utilize dynamic headers, user-agent rotation, and proxy/VPN support to ensure anti-bot resilience while extracting public data from MercadoLibre and Amazon. I will build the script using Scrapy for efficient and scalable web scraping. The deliverables will include well-documented Python code that generates clean JSON/CSV outputs for all six platforms. As final deliverables, you will receive a modular Python script that extracts public product information, images, seller details, and engagement metrics from Amazon, MercadoLibre, Instagram, Facebook, Vinted, and TikTok. One thing I'd like to confirm before we start: Which specific data fields are you looking to extract from Instagram and Facebook? Let's discuss further. Regards, Imran

@shayankhan333

Six platforms in one repo works if each scraper is its own module with a shared fetch layer, otherwise a TikTok layout change breaks Amazon too. For Amazon and MercadoLibre I'd run Playwright with stealth patches over residential rotating proxies only on retry, starting with cheap datacenter IPs and a real TLS fingerprint via curl_cffi to keep costs down. Core built on Scrapy for IG, FB, Vinted, TikTok, Playwright where JS rendering is unavoidable, JSON and CSV writers shared. 1) Do you want proxies wired in as a config layer, or should I stay provider-agnostic? 2) Which fields matter most on TikTok, product tags or engagement counts? Ready when you are. Thanks Shayan

@mzdesmag

Hello sir, Did go through your job description and glad to share that I have enormous experience in working with Python Web Scraping Script for 6 Platforms (Amazon, MercadoLibre, IG, FB, Vinted, TikTok) I'm a seasoned programmer and Engineer with quality experience in Flutter, React, Node.JS, SpringBoot, Frontend and Backend Development, Python, Matlab, R studio, C, C++, C#, OpenCV, OpenGL, Tesseract OCR, google vision, Statisticaal programming/R progamming data analysis Computing for Data Analysis Time Series & Econometric, Machine learning, AI, Deep learning, Matlab and Mathematica, 3D modeling, CAD/CAM,AutoCAD, 2D, Architectural Engineering, SolidWorks, Unity 3D, AutoCAD, 2D drawing, 2D draftingPCB, Electronics, Arduino, Embedded Systems Automation, Embedded and Firmware , IOT, Electrical/Mechanical Engineering I am a TOP Rated Freelancer, and you can check my reviews here as well: https://www.freelancer.com/u/mzdesmag. Looking forward to potentially working together on this project. Thanks and Best regards, Adekunle.

@rezamahi

I have 6+ years of experience in Python scraping and automation using Scrapy, Playwright, Selenium and BeautifulSoup. I can build clean, modular scrapers for Amazon, MercadoLibre, Instagram, Facebook, Vinted and TikTok, returning structured JSON/CSV with clear documentation. For Amazon/MercadoLibre, I recommend session-aware headers and realistic request pacing first, with a small rotating residential/datacenter proxy pool only when necessary rather than expensive large-scale proxies; I’ll keep the implementation compliant and non-login. I’d use Scrapy for efficient static extraction and Playwright only where browser rendering is genuinely required. I’ll make pagination, limits, selectors and platform modules configurable for easy maintenance. I can start immediately. Best regards, Rajaoul Haque Mahi