Python Book Data Scraping Pipeline

@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 production-ready Python pipeline that processes 10,000 ISBN-13 codes, extracts book data from Amazon (Japan & US) and external APIs, and directly syncs clean, normalized results into Google Sheets. The system will be designed to handle throttling, bot protection, retries, and large-scale execution reliably in a single run without data loss. I will also deliver a clean, documented codebase with setup guide, proxy configuration, and a tested sample run meeting your success criteria.

@quan9824

https://www.freelancer.com/projects/data-scraping/Automated-Counterfeit-Detection/reviews Dear. Nice to meet you. I am very pleasure to submit my proposal on your scrapping and automation project. I have many experiences in these field using python. Recently, I developed Automated Counterfeit Detection and Reporting System on Amazon. You can check this in my portfolio. I am sure and I can start immediately. I will wait for your good news. Thank you.

@AvinaHSinha7

Hi, I have strong experience building large-scale Python scraping pipelines with Playwright/Scrapy, proxy rotation, anti-bot handling, and Google Sheets integrations. I can build a production-ready ISBN pipeline that processes 10k+ ISBNs reliably, normalizes the book metadata, and updates Google Sheets safely without breaking formulas. ✔ Amazon scraping with retry handling, throttling protection & session management ✔ Google Sheets API integration with atomic updates ✔ Clean, modular, documented Python code (PEP8 compliant) ✔ Tested workflows with reporting, logging, and recovery support ✔ macOS & Ubuntu deployment instructions included I can start immediately and provide an initial 300-ISBN test run quickly. Looking forward to discussing the architecture and timeline.

@k1ng440

Scraping 10k ISBNs from Amazon in a single session triggers bot checks almost immediately without a rotating proxy layer. I've architected pipelines handling 150+ external integrations where reliability mattered more than speed. The key here isn't just fetching data. It's handling the failures gracefully so your sheet stays consistent. I recommend Playwright with stealth plugins alongside residential proxies to mimic human behavior. For the Google Sheets connector, I'll implement batch updates to avoid rate limits on their end too. Clean code is a priority. I will deliver fully annotated Python source packaged so you can run it with one command as requested. Production-ready scraping usually incurs proxy costs beyond the development fee. Are you already set up with a proxy provider, or do you need recommendations on that front?

@muneeb6767

I’ll build a resilient Python pipeline (Playwright/Scrapy + API fallbacks) that processes 10k ISBNs, normalises book metadata from Amazon + external APIs, and syncs atomically into Google Sheets with retry queues, logging, and proxy-aware throttling handling. Clean PEP8 code, deployment docs, and tested sample-run report included for stable large-scale execution

@sekai1116

As a seasoned Full-Stack & Mobile App & CRM & Artificial Intelligence Expert, I have gained immense experience delivering high-performance applications for both web and mobile platforms over the last 8 years. In line with your requirements, I specialize in architecting scalable and efficient digital pipelines that can successfully handle the scale of scraping operations you need. In terms of technical skills, my expertise in Python as a backend language is complimented by a solid foundation in cloud computing, specifically AWS. This expertise coupled with my knowledge of containerization (Docker and Kubernetes) and DevOps (CI/CD) will ensure a robust, scalable, and easy-to-integrate solution that will remain functional amidst Amazon's frequent throttling measures or page format changes.

@goranm16

Hi, this fits well with my Python scraping and data pipeline work. The real challenge here isn’t just fetching book pages — it’s making the run reliable enough that 10k ISBNs don’t create missing rows, duplicate writes, or messy catalogue data. I’d build this as a resumable Python pipeline with retry tracking, source priority rules, normalisation, and a safe Google Sheets upsert layer that preserves existing formulas. For a similar workflow, I built a scraper that pulled messy supplier data from multiple sources, cleaned inconsistent fields, and pushed only validated rows into a reporting sheet so staff didn’t have to fix records manually afterward. I’d start with a 300-ISBN test batch to confirm Amazon/API coverage, field mapping, throttling behaviour, and Sheets update logic. The main risk is Amazon blocking or changing markup, so I’d avoid brittle selectors where possible, use API fallbacks, structured retries, checkpoints, and clear failure logs instead of silently skipping anything. Thanks!

@JawadIT

Hi there, I am a Python Programmer since last 16 years and developed around 500+ scrappers and applications for my clients. I have understood your requirements and can create this pipeline for you within short span of time. Lets connect.

@haseebsidd07

Hey , I just finished reading the job description and I see you are looking for someone experienced in Selenium, API Integration, Software Architecture, Google Sheets, Data Mining, Web Scraping, Scrapy and Python. This is something I can do. Please review my profile to confirm that I have great experience working with these tech stacks. While I have few questions: 1. These are all the requirements? If not, Please share more detailed requirements. 2. Do you currently have anything done for the job or it has to be done from scratch? 3. What is the timeline to get this done? Why Choose Me? 1. I have done more than 250 major projects. 2. I have not received a single bad feedback since the last 5-6 years. 3. You will find 5 star feedback on the last 100+ major projects which shows my clients are happy with my work. Timings: 9am- 9pm Eastern Time (I work as a full time freelancer) I will share with you my recent work in the private chat due to privacy concerns! Please start the chat to discuss it further. Regards, Abdul Haseeb Siddiqui

@loxtic

Hi, how are you doing? I’ve built robust Python pipelines for large-scale data extraction and clean delivery to Google Sheets, with resilient crawling that handles throttling and schema changes, plus clean, annotated code and a ready-to-run package. I can deliver a fully documented setup, a Google Sheets integration that updates atomically, and a 300-item test run with a concise report. Let me know further if interested

@joseteixeira06

Hi There , Good morning! I am skilled mobile engineer with skills including Selenium, API Integration, Python, Data Mining, Web Scraping, Scrapy, Software Architecture and Google Sheets. Please send a message to discuss more about this project. Hope to hear from you soon

@jimkyleb

Hello, there, I’ll approach this as a production-ready, maintainable Python pipeline that reliably handles 10k ISBNs and yields ready-to-use, normalized book data for Google Sheets. The plan emphasizes resilience to Amazon throttling and format shifts, with clear, documented boundaries for extension by an internal engineer. A key risk is Amazon’s bot checks and throttling, which can silently skip rows if not handled thoughtfully. My approach uses a combination of headless browser tactics and API fallbacks with controlled pacing, robust error handling, and explicit retries. I’ll ensure a clean, well-documented codebase and an atomic Google Sheets updater that preserves existing formulas while upserting rows, so downstream staff can link records instantly. From prior experience, I’ve built modular scrapers that respect rate limits, isolate transient failures, and normalize fields early in the pipeline. A practical improvement is an idempotent upsert layer with per-ISBN state tracking and a small in-process queue to manage retries without thrashing the target sites or Google Sheets. Thanks, Jim.

@cindyviorinar

Hello, I'm Cindy Viorina, an experienced Python developer with a proven track record in building robust web scraping pipelines. I understand you require a production-ready solution to scrape book details from multiple sources using a set of ISBN-13 codes, and I'm confident I can deliver exactly what you need. To tackle the challenges posed by Amazon's throttling and bot checks, I propose using a combination of Scrapy and headless Chrome with rotating proxies. This architecture will ensure that we maintain a human-like request footprint while achieving high uptime and reliability. I will ensure the codebase is clean and well-documented, adhering to PEP 8 standards, making it easy for your internal team to extend and maintain. I can communicate in real-time according to your time zone and can provide a simple demo of the solution within 12 hours of commencement. Q1: What specific fields do you want included in the Google Sheets output? Q2: Are there any specific APIs you prefer for additional book details? Q3: What is your preferred deadline for this project? I look forward to discussing this further! Can you clarify the preferred date for project completion?

@Qad33rM3hdi

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@fizaa170

Hi, I can build a production-ready Python scraping pipeline for your ISBN workflow using a scalable custom architecture with proxy rotation, retry handling, session persistence, and Google Sheets synchronization designed for long uninterrupted runs. I can structure it to handle Amazon rate limits safely while keeping the scraped data normalized, validated, and easy for your internal team to extend later. Do you already have preferred proxy providers or should I recommend a stable residential setup? Also, which exact book fields need to be normalized into Google Sheets besides title, author, and pricing? And should failed ISBNs retry automatically in later passes or be logged separately for manual review? Best regards, Muzammil

@himanshubisht001

Hello, To be honest, this would be my first data scraping project. I haven’t worked on large-scale scraping before, but I’m genuinely interested in learning and giving my full effort to this work. If you can give me one opportunity and a little guidance in the beginning, I’ll do my best to complete the project properly and responsibly. I’m ready to spend extra time and effort to make sure the work is done correctly. If you want, you can first give me a small demo or test task. Once you are satisfied with the results, then you can approve the full project. I may be new in this particular field, but I’m serious about the work and willing to learn whatever is needed to complete it successfully. Regards Himanshu bisht

@gazmirs

Hi, ⭐15+ Yrs Sr Developer here⭐ I can build a production-ready Python pipeline that processes your ISBN-13 list, enriches book data from approved APIs and Amazon sources, normalizes the fields, and updates Google Sheets safely. I’d structure it with retries, rate limiting, logging, checkpointing, duplicate handling, and row-level status tracking so a 10k-title run can resume cleanly instead of silently losing records. For reliability, I’d prioritize official/external book APIs where possible, then use Scrapy/Playwright only where needed with a careful request strategy that respects site limits. The Google Sheets connector can insert or update rows atomically while preserving existing formulas and keeping downstream catalog matching clean. You’ll receive documented Python code, setup instructions for macOS/Ubuntu, proxy/API configuration notes, and a 300-ISBN test report with success rate and retry details. If you think I am a good fit, feel free to ping me anytime. — GAZMIR

@AzeemCodes7

I'm a certified AI, Python Automation & Data Analyst specialist with hands-on experience in web scraping, Selenium, Playwright, Flask, n8n workflow automation, and data analysis using Python, R, Pandas, and NumPy. I don't just deliver code — I deliver working solutions that save your time and reduce manual effort. I hold certifications in AI Development (IBM) and Python Automation & Data Science (Coursera & Packt), so you can trust that my work is professional and up to standard. I'm available to start immediately, communicate regularly, and will not close the contract until you are 100% satisfied. Let's discuss your project — feel free to send me a message!