Data from https://www.gsmarena.com/ Product Images & Product Specification without Copyright Issue Development £1250 GBP Fixed.

@imraz2016

HI there already i have checked project details job is clear so please contact me then i will show you sample, thank you

@a4logic

Hello, As an esteemed leader within the web services industry, the technical prowess offered by our team at Yasir Software is unparalleled. We've mastered scraping techniques that meet - and exceed - your project's demands. Concentrating on solutions without copyright infringements, we deploy state-of-the-art libraries such as BeautifulSoup, Scrapy, Puppeteer, Selenium to extract data you require. Not only do we prioritize obtaining all essential fields from specification tables and high-resolution images as demanded but also organize them comprehensively for easy future reference. Our years of experience have empowered us to continually adapt and grow with the advancing technology which sets us apart. With Samsung, Apple, and Xiaomi as key players in the initial scope of your project, rest assured we can widen our net adeptly to encompass further brands seamlessly. Your Project's acceptance criteria are not just checkpoints for us - they are an embodiment of the values we bring to every task. In short, we offer you a winning blend; technical expertise mastered over the years coupled with a commitment to go above and beyond for clients. Our turnaround time is minimal and the quality of our work has always garnered positive feedback - something we strive for incessantly. Let's transform your dreams into an effortless reality with Yasir Software. Contact me now to turn around an initial dump at exemplary speed while maintaining top-notch quality Thanks!

@techplusintl

Hi there, ★★★ Python Expert ★★★ 8+ Years of Experience ★★★ I can create a fast and clean scraper that extracts technical specifications and images for the phone models you provide. This will include: - A CSV or JSON file per brand with full spec tables. - A neatly organized image folder with sub-folders for each model. I will use Python with libraries like BeautifulSoup or Scrapy to ensure the script runs smoothly and respects crawl delays. Ready to start once you provide the list of phone models. Thanks!

@SBITServices

Hi, I will develop a custom web scraping script using BeautifulSoup/Scrapy/Puppeteer/Selenium to extract technical specifications and high-resolution images of Samsung, Apple, and Xiaomi devices from gsmarena.com. The script will be flexible to accommodate additional brands. Deliverables will include CSV/JSON files for specs, an organized image folder, and well-commented scraping code for future updates. Let's discuss further. Regards, Sai Bhaskar

@livegoodlife

Hello there, I am experienced in web scraping and building scripts or a Windows desktop application using Python. I am also experienced in large data scraping from a given website, bypassing IP, Captcha, and anti-bot or cloud flair protection. Please message me to discuss this project in detail. Best Regards Enamul

@seefattechnologi

Hello!==>>>> I can build a reliable scraping solution to extract complete technical specifications and high-resolution images from GSMArena for Samsung, Apple, Xiaomi, and additional brands as needed. The scraper will be automated, well-structured, and designed to export clean CSV/JSON datasets along with organized image folders per device model. I typically use Python with BeautifulSoup/Scrapy for efficient structured scraping, with Selenium only where dynamic rendering is required. The final code will be clean, reusable, and include polite crawl delays to ensure stable, interruption-free execution.

@raphaelokekeze

Scraping product specifications and images from GSMArena requires a clean, reliable approach to ensure data accuracy while respecting the site's structure. I have handled similar data extraction projects where parsing complex technical specs and mapping them correctly to a database is key to a successful import. My background in PHP and deep technical experience with web architecture allows me to build custom scrapers that handle these specific requirements efficiently. I regularly work with data processing and integration, so I can ensure the output is formatted exactly how you need it for your platform while mitigating any potential issues related to the source site's data structure. I can complete this task for $119.51 with a turnaround time of just 1 day. Let me know if you are ready to get started so I can begin pulling the data for you immediately.

@DeveloperStation

Hi, We’ve developed similar scraping solutions for multiple clients, including a product comparison platform that extracted data from Amazon and eBay. We used Python libraries like Scrapy and BeautifulSoup, along with Selenium for dynamic content, to deliver reliable, production-ready solutions. For your project, we can create a dedicated scraping script that runs daily to fetch new data, ensuring you always have the latest information. We can also implement a CI/CD pipeline to automate testing and deployment, so you don’t have to worry about manual updates. Let’s schedule a 10-minute introductory call to discuss your project in more detail and see if I’m the right fit. Feel free to message me anytime—I usually respond within 10 minutes. I’m eager to learn more about your exciting project. Best regards, Adil

@farhanyoussef18

Youssef, Full-Time Python Developer specializing in data extraction and automation. Your requirement for clean, copyright-conscious scraping of GSM Arena's specifications and high-resolution images is clear. I will use Scrapy for efficient crawling and BeautifulSoup for parsing the detailed spec tables, ensuring no fields are missed. Playwright will handle the image galleries to capture the highest-resolution assets without watermark interference. The output will be organized JSON files per brand and structured image folders with matching filenames, exactly as you specified. I have completed over 162 similar data extraction projects. To begin, please confirm the initial list of Samsung, Apple, and Xiaomi models so I can target them immediately. Ready to start immediately.

@Tanmoy236

Hello! As a seasoned web scraping specialist with over 9 years of experience using Python, BeautifulSoup, and Scrapy, I will build a clean, reusable script to extract full technical specs and high-res images from GSMArena for your phone models. I respect crawl delays and copyright. Here's how I can help: - Scrape complete spec tables for Samsung, Apple, Xiaomi (and easily add more brands later) - Download highest-resolution images without watermarks into organized folders per model - Deliver CSV/JSON files per brand and well-commented Python code you can re-run - Ensure script runs hands-off with polite delays and no missing fields I can have an initial dump ready within 48 hours of receiving your phone model list. Do you have the list ready now? I prefer Scrapy for speed and reliability. Let's start.

@mohjib092

Hi there, Scrape Hub It will be done quickly , already review branded names and require fields, Lets chat

@teodorgeorge

Hello, I can help you scrape clean specs and high‑resolution images from gsmarena for Samsung, Apple, and Xiaomi, with code you can reuse for future models. I keep the extraction simple and clear so all specs and images are saved neatly and without copyright concerns. I can set up a script in Python or Node that captures every spec field and organizes the image folders by model, keeping everything easy to update and run again. Thanks, Teo

@ShaikhAneesa

Hi there, I understand you need a fast, reusable scraping solution for GSMArena that extracts full technical specifications and high-resolution images for Samsung, Apple, and Xiaomi devices, with an architecture that can easily scale to additional brands later. My approach is to build a structured Python-based scraper (Scrapy preferred for scale, or BeautifulSoup for lightweight runs) that iterates through model URLs, extracts complete spec tables into normalized JSON/CSV formats, and ensures no field-level data loss by dynamically mapping all key-value pairs from each specification section. Next, I would implement a robust image downloader that captures the highest available resolution per device page, organizes files into per-model folders, and maintains consistent naming conventions so datasets remain reusable and clean for downstream use. The system would include polite crawling delays, retry handling, and modular brand-level configuration so you can easily extend it beyond Samsung, Apple, and Xiaomi without modifying core logic. Finally, I would deliver fully commented, production-ready code so you can rerun the scraper anytime new models are released, along with clear instructions for setup and execution. Do you want the output normalized into a strict schema across all brands, or should each brand’s spec structure remain exactly as GSMArena presents it? I’m ready to begin immediately. Warm Regards, Aneesa.

@hoangnn90

✅Full Experience in Web Scraping and Data Extraction Automation with Python(Selenium/Scrapy)✅. ✳️I am very confident that complete your project perfectly. ✳️I can guarantee the quality of the job and deliver the result on time. I hope we will discuss in more detail via chat. Best regards!

@josanta

Hi, I’ve reviewed your project and understand you need a clean GSMArena scraper that extracts full phone specifications and highest-resolution images for provided models, organized by brand and device. I’ll deliver: Structured CSV/JSON exports per brand Organized image folders per model Well-commented, reusable scraping code (Python/Scrapy or BeautifulSoup) The scraper will run automatically with polite delays and complete coverage of spec tables and images. Experienced in large-scale scraping and structured data extraction. Ready to start immediately. Best regards, Joseph

@FizzaNadeemK

Hi, you need a scraper that extracts full technical specs and high resolution images for each phone model in a reusable structured dataset. With 7+ years full stack experience I build robust scraping pipelines that extract structured data and images reliably at scale. I will use a Python Scrapy or BeautifulSoup setup with rate limiting, export JSON or CSV per brand, and download images into structured folders for repeat runs. How many models in first run and do you prefer JSON or CSV as primary format Best Regards, Fizza Nadeem K

@johnallenvillan1

Hello, I’ve gone through your requirement for a clean GSM Arena scrape covering full specifications and high‑resolution images for Samsung, Apple, and Xiaomi models. The need for copyright‑safe, reusable data is clear. I’ve delivered similar pipelines before, including a Scrapy-based crawler that produced brand-level JSON outputs and organised image archives for 300+ devices with verified field completeness. What most people miss here is that GSM Arena structures spec tables inconsistently across brands and generations. Normalising those fields while ensuring no silent drops and managing polite crawl delays is the real challenge. Handling redirect-heavy image URLs and variant naming is another area where careful parsing matters. I’ll build a modular Scrapy or Python/Requests+BS4 scraper, extract every table cell, normalise keys, and generate JSON/CSV per brand. I’ll map each model to its own image directory and fetch the highest‑resolution images directly from source tags. All code will be fully commented and easily extendable for future brands. Before starting, I need clarity on whether you prefer JSON or CSV as the primary export and your expected crawl delay threshold. I can have the first dump ready shortly after receiving your device list. Best regards, John allen.

@SmartCodeDev

Hello, I can build a clean and reusable scraping system for GSMArena that extracts full technical specifications and high-resolution images for any list of phone models you provide. I would implement it in Python using Scrapy or a combination of Requests + BeautifulSoup, with optional Selenium only if any pages require dynamic rendering. The script will be modular so you can easily add new brands beyond Samsung, Apple, and Xiaomi without changing core logic. For each model, I will extract the complete specification table in structured JSON/CSV format, ensuring no fields are missed or flattened incorrectly, and normalize the data for easy reuse. Images will be downloaded in highest available resolution, organized into per-model folders with clean naming, and mapped consistently to each device variant. The crawler will include polite rate limiting, retry logic, and error handling to ensure stable execution without manual intervention. Final delivery will include the full well-commented source code, brand-wise JSON/CSV outputs, and a structured image dataset ready for reuse or integration into any system.

@xuezhe315

Hi, As a seasoned software engineer with a knack for creating robust, scalable data solutions, I can deliver the scraping project you've outlined with ease. My experience in web development, data mining and processing, and especially my competency in tools like Python's Scrapy make me the ideal candidate for this job. I understand and respect the importance of copyright compliance when dealing with public data. By leveraging the powerful yet respectful scraping techniques using Scrapy or similar frameworks, I will ensure our approach does not infringe upon anyone's rights. And rest assured, our neat and organized image folder, along with well-commented snippets of code, will empower you to rerun the task whenever new models arrive. Moreover, over my years in this industry, I've successfully led numerous projects through each stage of their life cycle - from concept to execution - and your project aligns perfectly with my expertise. It'd be my pleasure to leverage my knowledge for your cause. So let's get started - I assure you efficient turnaround times while delivering unambiguous CSV/JSON files with uncompromised data quality. Hope to hear from you soon! Regards.