Blinkit Product Category Scalper Needed

@onkarkulkarni8

Hi, I can help with your "Blinkit Product Category Scalper Needed" project. I develop clean, maintainable PHP backends — core PHP and Laravel/Symfony, MySQL schema design, and well-structured REST APIs. For work involving php, python, data processing, web scraping, software architecture, scrapy, data extraction, selenium, I pay close attention to validation, security, and readable code, delivering in small, testable milestones. I provide clean commits and clear documentation. Can we discuss the specifics before I firm up the timeline? ⭐ 5.0/5 from a recent client: "Project was delivered before Time with Best professional Knowledge One could ever held. Thanks for the support" Final timeline and cost will be confirmed in chat after a complete understanding and documentation of the project expectations in detail.

@farhanyoussef18

Youssef, Full-Time Python Developer, expert in Playwright and data extraction. You need a clean, fault-tolerant scraper for Blinkit's Cpg category, capturing product images split by sponsored status and inventory per dark-store location. My approach uses Playwright for robust headless browsing to handle dynamic content and evade detection, combined with a proxy rotation system for reliability, outputting tidy JSON files. I have completed similar projects for inventory and image data extraction. What is your preferred method for handling the image URLs and assortment depth data? Ready to start immediately.

@technologiesit

Having designed and executed over 200 successful projects in my 8+ years as a full stack developer and digital solutions expert, I have garnered comprehensive knowledge of the tools and technologies necessary to bring your vision to life. Vimal Kumar, at your service. My extensive experience in website development using PHP - which resembles Python in terms of ease-of-use – makes me more than qualified to tackle your scraping needs. In addition, I have hands-on experience working with AWS and GCP instances, which aligns perfectly with your preference for a simple-to-maintain solution for the data scraper. From headless browser setups to rotating proxies, I possess the technical skills needed to efficiently navigate through bot protection systems while ensuring smooth, uninterrupted scraping operations. Furthermore, as someone who understands the need for clear communication and fast delivery, let me assure you that I'm capable of not only extracting the desired product data from Blinkit but also exporting it in an organized JSON or CSV format that integrates seamlessly into your existing dashboard. My end goal always involves not just completing a task, but also equipping clients with the skills to independently replicate it on their own servers. Choosing me guarantees efficient data extraction with clear documentation and ongoing support.

@gowthamsarathy

Hello, I reviewed your requirements carefully and understand that you need a robust, maintainable scraper for Blinkit's CPG category that reliably collects product images, sponsored/non-sponsored classification, assortment depth, and dark-store inventory while being suitable for scheduled execution on AWS or GCP. My approach is to build a headless Playwright-based scraper in Python with a modular architecture. The scraper will implement rotating browser fingerprints, configurable proxy support, retry and backoff logic, session management, and structured error handling to improve reliability. The extracted data will be normalized and exported as JSON/CSV, with CLI options for category, location, output format, and scheduling. I'll also provide clear documentation for deployment and maintenance. Relevant scraping projects: https://www.freelancer.in/projects/beautifulsoup/Maritime-Job-Board-Scraping https://www.freelancer.in/projects/beautifulsoup/Python-Meetup-Events-Scraper One technical question: Should inventory be collected across a predefined list of dark-store locations in a single run, or will the scraper receive the target location dynamically at runtime? I can start immediately and deliver a production-ready scraper, deployment guide, handoff documentation, and a walkthrough call. The quoted price is an initial estimate and can be adjusted after reviewing the final scope. Best Regards

@mayankinnovative

As you can see from my extensive background, I have spent over two decades honing my skills in data processing, PHP, Python, and web scraping, all of which are crucial for delivering the functional solution you require. Building upon this foundation, I have also developed a deep understanding of clean and maintainable solutions that align perfectly with your project's need for a tidily coded scraper. Moreover, my hands-on experience with WooCommerce and Laravel makes me extremely comfortable using AWS or GCP - which further makes me the perfect fit. Your project requirement encapsulates all the aspects I relish in a challenge. The adherence to reasonable retry logic, ensuring fault tolerance and headless automation is part of my daily routine when dealing with complex development tasks. My clients can vouch for not just the quality and timeliness of my work but also its longevity; because I focus on scaling businesses by providing reliable and future-proofed solutions – think of me as an investment in your businesses' exponential growth. Lastly, the customer satisfaction bar you set resonates deeply with me. My aim isn't just to complete a task but ensure seamless integration within your existing systems and processes. This includes detailed documentation a

@TeraByte26

Hi, I will deliver a Blinkit Cpg category scraper with product images, inventory numbers, exporting JSON or CSV files. I commit to delivering this within the 12500-37500 INR budget. Can I start with a free sample? Waiting for your response in chat! Best Regards.

@TechizeBuilder

Dear Client, I read "Blinkit Product Category Scalper Needed" carefully and understand you want a job portal that connects employers and candidates effectively. My hands-on experience with PHP, Python, Web Scraping aligns directly with what you need. I've built recruitment platforms with job posting, resume upload and search, filters, applications tracking and employer dashboards — fast search is what makes these portals win, and mine are fast. A few quick questions to get us started: 1. Will employers post jobs directly, or will admins manage listings? 2. How will it earn — featured jobs, resume database access, subscriptions? 3. Which region/industry are you targeting first? Thanks & Regards, Deepak

@shayankhan333

Blinkit's API layer actually exposes dark-store inventory if you hit the right endpoints with location spoofing, so a full browser-based approach isn't necessary for most data points. That saves a lot on runtime and makes scheduled jobs far more reliable. I'll build a CLI Python scraper using Playwright only for the product pages that need rendering, with direct API calls for inventory and pricing per dark store. Rotating fingerprints, proxy pool integration, and structured retry logic will be baked in, exporting clean JSON/CSV ready for your dashboard. I'll include a Dockerfile for easy AWS/GCP deployment plus hand-off docs and the walkthrough call. One thing worth noting: Blinkit's location-based responses mean the scraper needs to cycle through lat/long pairs to cover all dark stores, not just rotate proxies. I'll handle that mapping. Best regards, Shayan

@Web1devloper

With my 8+ years' experience in Data Analytics and Science, I possess a deep understanding of the myriad challenges associated with scraping and transforming complex datasets. I am highly comfortable with the languages you've listed — Python in particular, which I have leveraged for numerous similar projects involving headless scrapers and AWS instances. Additionally, I have prior experience evading bot protection, an essential skill for this task. In terms of final deliverables, not only can I provide you with clean CSV/JSON files compatible with your dashboard but also concise hand-off documentation and a quick call to ensure smooth incorporation into your existing pipeline. My expertise in using a wide array of data visualization tools like Power BI, Google Data Studio and Plotly / Dash further ensures that the data can be interpreted and acted upon easily by you. The essence of my prior work involves converting intricate data into actionable insights as well as optimizing operations for businesses similar to yours in e-commerce and SaaS. Combining my expert proficiency in Python, game-changing proficiency while dealing with data and innumerable relevant skills, I believe I am guaranteed to provide you an effective solution to scrape Blinkit's “Cpg” category - all fields populated for at least 500 SKUs initially, reproducible post 24 hours without modifications or bans. Choose me for a spot-on solution that unlocks the full potential of your data!

@irfanui

Hi, I reviewed your project: Blinkit Product Category Scalper Needed. I can build a scalable SaaS or business application with user roles, admin dashboard, subscriptions/billing, secure APIs, database structure, reporting, and cloud deployment. I focus on clean architecture, maintainable code, clear milestones, and long-term support. Please message me so I can understand your required modules, user flow, timeline, and preferred technology stack. Portfolio: https://www.freelancer.com/u/irfanui Regards, Mohammad 4th Dimension Partners

@akkiwadhwa1995

Scraped Blinkit, Zepto, and quick-commerce platforms at scale using Python + Playwright/Scrapy — including sponsored/organic splits and store-level inventory data. For your CPG category scraper, I'd deliver a script with rotating proxies, retry logic, and JSON/CSV export scheduleable on AWS or GCP. Tested for 500+ SKU rerun stability with no code changes. CLI-based with handoff docs and a quick call to slot into your pipeline. Prototype ready to demo.

@Linkmez

Hi, I've reviewed your Blinkit scraper requirements carefully. You need product images (sponsored vs non-sponsored split), assortment depth, and per-dark-store inventory — exported as clean JSON/CSV, runnable headlessly with anti-bot evasion, and schedulable on your server. My Approach: 1. Reverse-engineer Blinkit's internal APIs to pull structured data directly (faster, more reliable than HTML scraping). 2. Build a Scrapy + Playwright hybrid: Playwright for JS-rendered pages, Scrapy for concurrent crawling with retry logic and rotating proxy/fingerprint pools. 3. Capture all requested fields: images, sponsorship flags, assortment depth, dark-store inventory levels. 4. Export to JSON and CSV with consistent schema for your dashboard. 5. CLI-based with configurable category, concurrency, and proxy settings. 6. Test against 500+ SKUs, verify rerun stability after 24 hours. 7. Handoff doc + quick call to integrate into your pipeline. I've built production scrapers handling anti-bot protection, proxy rotation, and large-scale data extraction before. I can deliver this within 5-7 days. Ready to start immediately. Best,

@rudracompuTech

Hello, I reviewed your project requirements for Blinkit Product Category Scalper and can build a professional, responsive website with all the features you need. I have experience developing modern websites focused on performance, user experience, and lead generation. I'm available to start immediately and would be happy to discuss your requirements in detail.

@thiagofoz87

I can build a production-ready scraper for Blinkit’s “Cpg” category focused on reliability, repeatability, and clean structured output rather than a fragile one-off script. The implementation would use a headless browser approach with Playwright in Python, combined with controlled retry logic, rotating browser fingerprints, session management, and optional proxy support to reduce blocking risk during repeated runs. The scraper will collect the required fields for each SKU, including sponsored vs non-sponsored placement, product imagery, assortment depth, and inventory visibility per dark-store location. The delivery will include: - CLI-based execution suitable for cron or scheduler integration - JSON and CSV export formats - Configurable runtime parameters - Logging and failure recovery mechanisms - Deployment guidance for AWS or GCP - Lightweight documentation for maintenance and reruns I will also structure the scraper so it can handle at least 500 SKUs consistently across multiple executions without manual intervention. If Blinkit changes selectors or request patterns, the codebase will remain maintainable and easy to adapt. For infrastructure compatibility, I can provide a setup optimized for Linux servers and containerized execution if needed. I’m also available for a hand-off call to help integrate the scraper into your existing pipeline and validate the output format against your dashboard requirements.

@ankits0192

Hello, I am Ankit. I’d like to confirm whether your Bijnor Blinkit scraper must capture all CPG subcategories or only the main category for cleaner runs. Reliable scraping helps Indian dashboards track inventory and sponsored splits accurately. I build headless Python flows with retries and clean JSON or CSV output. A common risk is fingerprint rotation failing under heavy SKU loads. Let's discuss in more detail now. Would you like the scraper to run on AWS Lambda or a simple EC2 instance for scheduling?

@geethasekar1995

Hello, I have read your job description and I am interested in your job post. I am ready to start now. Please send me a message to discuss more about your project, Can you please give me a chance I am a Senior Software Developer with over 8+ years of experience in designing and developing scalable web and desktop applications. I specialize in Microsoft technologies and delivering high-quality, secure, and performance-driven applications. My Expertise: Backend Development:ASP.NET, ASP.NET Core, MVC, Web API, WebForms, WCF Services Programming Languages:C#, Frontend Development:JavaScript, jQuery, AJAX, HTML, CSS Database Technologies:SQL Server, MySQL Reporting Tools:Crystal Reports, RDLC, SSIS, SSRS

@alluankit01

Hi, I can build a clean Python-based Blinkit product category data extraction tool for the CPG category, focused on structured SKU data, product images, sponsored/non-sponsored classification, assortment depth, and location-wise availability where accessible. The best solution is to first review the target category flow, location requirements, required fields, output format, and permitted data-access method. I’ll then build a maintainable CLI scraper using Playwright/Scrapy/Selenium, with retries, logging, validation checks, scheduled execution, and JSON/CSV export for your dashboard. I’m comfortable with Python, Scrapy, Playwright, Selenium, headless browser automation, structured product data extraction, image URL capture, SKU-level parsing, CSV/JSON exports, AWS/GCP deployment, logging, and handover documentation. Deliverables will include: * CPG category scraper * SKU/product data extraction * Product image capture * Sponsored/non-sponsored split * Assortment depth fields * Location-wise availability where accessible * Retry and error handling * JSON/CSV export * CLI execution * AWS/GCP setup notes * Handover documentation and call I’ll focus on a reliable, maintainable solution using permitted access methods, reasonable request handling, and clear logs so you can schedule and rerun the scraper safely. Best regards Ankit

@heenafullstacken

A successful SaaS needs more than features—it needs a structure that can grow. For Blinkit Product Category Scalper Needed, I can build user roles, admin controls, subscriptions, billing, reports, secure APIs, and a scalable database. I work with clear milestones and maintainable code so future upgrades remain simple. Send me the required modules, user flow, and preferred launch timeline, and I will outline the best technical approach. Portfolio: https://www.freelancer.in/u/heenafullstacken Best regards, Heena A Plus IT House

@Cruz1217

The biggest hiccup with Blinkit’s CPG pages is the dynamic loading of inventory per store, which often trips simple crawlers. I’ll use Playwright with rotating user agents and a proxy pool, capture the JSON payloads directly, and write them to clean CSV files. My script will run headlessly on an AWS or GCP instance, log retries, and exit with a tidy JSON dump ready for your dashboard. A common mistake is relying on static selectors; they change when Blinkit updates its UI and silently drop fields. Your scraper will pull images, sponsored flags, assortment depth, and inventory per dark-store location for at least 500 SKUs each run. I’ll also provide a brief hand-off doc and a quick call so you can slot it into your pipeline without code changes.