Scrape 5K Products From 1688 Web

@saqibmunir55

hi sure i can use any method, playwright, or selenium or api or other modules in python to scrap data let me know more details to proceed.

@durgesh8527

As a veteran in full-stack development for 12+ years, my extensive proficiency in Python and Software Architecture is tailored-made for your scraping project from 1688.com. I bring an array of proven web scraping tools like Selenium and various Amazon Web Services that can help accomplish your requirement of fetching 5,000 products resiliently. Knowing that 1688 presents obstacles with language barriers, dynamic loading, and throttling, take solace in our expertise to overcome these challenges using stack like Playwright. Once completed, expect a well-formatted CSV file entirely checked for accuracy with no room for duplicates. Our multi-disciplinary team isn't limited to just applying the right technical skills, we will also be able to provide comprehensive support in maintaining this data efficiently post-delivery. Our choices are always guided by steadfast entrepreneurial pragmatism - we deliver scalable solutions aligned with your long-term goal. Let's have a detailed conversation on how our specialized approach can address your unique business needs.

@mdabu38

Hi! I can scrape 5,000 products from 1688 with accurate titles, current prices, and live URLs, then deliver a clean, duplicate-free UTF-8 CSV. I use Python with Playwright/Selenium to handle dynamic content and ensure reliable, verified results.

@nsinfosoftwebapp

Hello, Full Stack Web Developer with 8+ years of experience in Python, Laravel, CodeIgniter, Core PHP, Node JS, React JS, MySQL, API Integration, and Web Application Development. I have successfully developed and maintained: - E-commerce Websites - Custom Admin Panels - Inventory Management Systems - Booking Systems - CRM/ERP Solutions - API Integrations - Responsive Websites

@Dataentrychanp

Respected Sir, I am Puja Rani. I have read your proposal completely. I have experience I am ready to start working. I am confident that I can handle it easily. If you are interested, please message me and we can discuss further

@usamaansari786

Hi, As an accomplished and highly adept full stack developer with a specialized understanding of software architecture, I believe my unique skill set makes me an excellent fit for this challenging web scraping project. Over my 5+ years in the industry, I have developed a vast amount of dynamic web applications working across multiple platforms, including a significant number of crawler-based systems utilizing frameworks such as Selenium, Scrapy, and Playwright - essential for a task of this scope. These experiences have sharpened my problem-solving abilities, ensuring that your product links, exact titles, and current prices will be accurately scraped without any loss or duplicates. In addition to my technical proficiency with crawling technologies, I bring robust strategic insight to the table that can align seamlessly with your business goals. My experience collaborating with clients across the globe has also amplified my sensitivity to different work cultures and refined my ability to deliver tailor-made solutions to meet diverse client needs. With this global perspective combined with a resolute focus on quality and long-term partnership building, I promise not only top-tier results but also responsive communication throughout the project process. Lets have a chat warm regards Usama Ansari

@osamak74

You need a clean, accurate one-time scrape of 5,000 1688 products into CSV, with duplicate-free rows and reliable Title, Price, and URL fields. I can handle this with Python using the most stable approach for dynamic pages and throttling, then validate the output before delivery. I’d structure the crawler to keep extraction clean, handle load issues, and export UTF-8 CSV exactly as requested. What product scope should the scrape cover on 1688: a specific category, search query, or curated list? Do you want the current live price only, or should variants/sale prices be normalized one way? I can start immediately and keep communication clear throughout. Osama

@mahmoudelshony

السلام عليكم ورحمة الله وبركاته I can scrape product data from 1688 and deliver it in a clean CSV file (Title, Price, URL), with the product title kept in Chinese exactly as shown on the website to ensure accuracy and match during verification.

@mwaqasm5

Hello, I am an experienced Python developer specializing in large-scale web scraping, data extraction, and automation projects. I have worked with Playwright, Selenium, Scrapy, and anti-bot handling techniques for dynamic websites that require JavaScript rendering, session management, and data validation. For this project, I can deliver a clean, duplicate-free CSV containing 5,000 products with: • Exact product title • Current listed price • Live product URL My approach includes: • Reliable extraction from dynamically loaded content • Handling pagination, throttling, and session requirements • Data validation and deduplication • UTF-8 formatted CSV output • Spot-checking to ensure accuracy before delivery I will use the most suitable scraping stack based on the site's behavior, prioritizing data completeness and consistency. The final dataset will be structured, easy to verify, and ready for immediate use. I can start immediately and provide progress updates throughout the extraction process. If there are preferred product categories or search terms, I can tailor the collection accordingly. Best regards

@haseebs74

Hi! I can do this. 1688 is JS-heavy and rate-limits aggressively, so I'd use Playwright with rotating delays and session handling to get clean, complete rows without blocks. Deliverable: single UTF-8 CSV, 5000 rows, columns Title/Price/URL, no duplicates, spot-check ready. One thing to flag: 1688 sometimes requires a logged-in Alibaba session to see full pricing on certain product categories. Do you have a 1688 account I can use, or should I work around gated listings by targeting only publicly visible categories? Can start as soon as the first milestone is funded.

@softdev0924

Hello, Your project requires a reliable, large-scale data extraction pipeline that can handle 1688’s dynamic structure while delivering clean, verified product data at volume. I will build a Python-based scraping workflow using Playwright or Scrapy (depending on access stability) to extract 5,000 product records with high accuracy and minimal duplication. The system will be designed to handle lazy loading, dynamic requests, and session-based content to ensure complete data capture across all pages. Each product will be validated before export, ensuring consistent fields for title, price, and URL. The final output will be a clean UTF-8 CSV optimized for direct use without post-processing. With 6+ years in web scraping and data engineering, I focus on building resilient crawlers that maintain accuracy even on heavily dynamic or protected e-commerce platforms. Deliverable will include a structured, duplicate-free CSV with 5,000 verified entries and a stable extraction process used to generate it. Quick question: do you want a single-run extraction only, or should I also structure the scraper so it can be reused later for incremental updates? Best regards, Roovee Felicilda

@MdRaihanAli6210

Hi, I can help scrape 5,000 products from 1688 and deliver a clean UTF-8 CSV with Title, Price, and URL. I have experience with Python, Playwright/Selenium, dynamic pages, pagination, session handling, and duplicate cleanup. I’ll make sure each row is complete, the product links are live, titles match the site, and prices are checked before delivery. I’ll also include basic validation so the final CSV is accurate, duplicate-free, and ready for your spot check. I can start right away.

@jayvinces

Hi! I understand you're looking for a reliable solution to scrape 5,000 products from 1688.com. As a Senior Software Developer | Full-Stack, Web, Mobile & Cloud, I have extensive experience in web scraping using Python and libraries like Selenium and Scrapy, which are well-suited for handling dynamic content and logged-in sessions. This ensures that I can extract accurate data while navigating any potential obstacles on the site. Previously, I successfully completed a project where I scraped product data from a similar eCommerce platform, delivering a clean CSV file with all required fields. My proficiency in data processing and automation will guarantee that the final output is accurate and free of duplicates. I am confident in my ability to meet your needs and deliver the results you expect. I'd love to discuss this project further to ensure all your requirements are met. Best regards, Jayvince

@aaronp04

Hey! I'm Aaron Abi, a versatile freelancer offering a unique mix of creative and technical skills. ​ ​? Web Scraping: Need data fast? I build custom Python and SQL scripts to automate data extraction, scrape websites, and generate clean datasets for your business. ​Send me a message today and let’s get to work!

@tuhamidev

Hey there, I am interested in your project and I can finish it today. Lets chat to build something! Regards, Anas

@vyto15

Hi, The key part of this task is not only collecting 5,000 rows, but making sure the CSV survives random spot checks: no duplicate product URLs, no missing titles, no broken links, and prices captured in a consistent format. I would run the scrape with validation built in: collect product URLs, normalize titles/prices as UTF-8, remove duplicates, check that each row has all three required fields, and provide one clean CSV with Title, Price and URL. One point I would clarify first: do you already have the 1688 category/search URLs to scrape from, or should the 5,000 products be collected from a general keyword/category search?

@rameena50

Hello! I’m an experienced Python developer specializing in large-scale data extraction, automation, and structured data pipelines. I have strong hands-on experience with tools like Scrapy, Selenium, and Playwright, and I focus on building reliable, scalable scraping solutions that ensure data accuracy, deduplication, and clean structured output. For your project, I would design a robust extraction workflow capable of collecting product data at scale and exporting it into a clean UTF-8 CSV format with consistent fields. My approach prioritizes stability, data validation, and completeness, ensuring every record is accurately captured and verified before delivery. I also implement safeguards such as retry logic, structured logging, and anti-duplication handling to guarantee high-quality datasets suitable for verification and analysis. Once completed, I will deliver a fully validated CSV and ensure it matches your required format and expectations. I’d be happy to discuss your exact filtering criteria and delivery timeline. Best Regards, Syeda Rameen

@rajiya100

I understand maan! I have a team here, will finish it within a day. jsut here in details about product . will provide u 100 extra for this.

@atonf0abdulAzz

Hi, I've scraped structured directories, multilingual platforms, and JavaScript-heavy sites before — your 1688 project is well within my range. Here's my approach for this specific job: • Stack: Playwright (Python) to handle dynamic price loading and JavaScript rendering — requests alone won't cut it on 1688. • Anti-block: randomized delays, rotating user-agents, and session management to avoid throttling across 5,000 requests. • Output: a clean UTF-8 CSV with exactly three columns — Title, Price, URL — no duplicates, no empty rows. • Quality check: I'll run a validation pass before delivery to flag any missing prices or broken links. One thing I'd like to confirm with you: do you have a specific category or search URL on 1688 you want me to pull from? That directly affects how clean and consistent the 5,000 results will be. I'd also suggest we agree on a 100-product sample first — free of charge — so you can verify accuracy before I scale to the full dataset. No risk on your end. Budget: $30 AUD. Delivery: 48–72h after we align on the source URL. Let me know if you'd like to move forward. Abdoul Aziz