Junior/Mid Level AI Data Scraping Engineer

@muneeb6767

I have strong experience with Python-based scraping and automation using Scrapy, Playwright, Selenium, BeautifulSoup, APIs, Docker, and AI-assisted workflows for large-scale structured data extraction and browser automation projects. I’m comfortable with dynamic sites, cloud deployments, debugging crawlers, and integrating LLM tools into automation pipelines.

@mayankinnovative

Hi, As per my understanding: You are looking for a Junior/Mid-Level AI Enabled Data Scraping Engineer with strong Python automation and web scraping experience who can build scalable crawlers, handle dynamic websites, and support AI-powered data extraction workflows. The role requires expertise in browser automation, APIs, structured/unstructured data handling, and collaboration with AI/data engineering teams in a fast-paced environment. Implementation approach: I have hands-on experience with Python-based scraping and automation using Scrapy, Selenium, Playwright, Requests, and BeautifulSoup for extracting and processing large-scale web data. I can build stable scraping workflows for dynamic websites, login/session handling, CAPTCHA-aware flows, API integrations, and automated data pipelines. I am also familiar with AI/LLM integrations using OpenAI APIs, LangChain, and automation-based enrichment workflows. Additionally, I can work comfortably with Git, Docker, Linux environments, JSON/XML parsing, database integration, and crawler optimization while ensuring data quality and monitoring. A few quick questions: What types of websites or industries will the scraping projects mainly target? Which databases and cloud platforms are currently being used? Are the AI workflows already established or built from scratch? Will the role involve proxy rotation and anti-bot bypass handling? Is there a preferred stack for deployment and job scheduling?

@vishal1145

Your scraping infrastructure will fail the moment you hit Cloudflare or rate-limited APIs at scale. Most junior scrapers build scripts that work locally but collapse under production load - I've rebuilt 8 systems where this exact issue cost companies weeks of downtime. Before architecting the solution, I need clarity on two things: What's your current failure rate when scraping dynamic sites with anti-bot protection? And are you planning to process this data in real-time or batch mode for your AI workflows? Here's the architectural approach: - SCRAPY + SELENIUM: Build a hybrid scraper that uses Scrapy for static content and Selenium for JavaScript-heavy sites, with rotating proxies and user-agent pools to bypass detection systems. - PLAYWRIGHT AUTOMATION: Implement headless browser sessions with stealth plugins to handle login flows, CAPTCHA challenges, and session persistence without triggering anti-bot mechanisms. - LANGCHAIN + OPENAI API: Design an LLM-powered extraction pipeline that uses GPT-4 to parse unstructured HTML into structured JSON when CSS selectors fail on inconsistent page layouts. - AWS + ELASTICSEARCH: Set up Lambda functions for distributed scraping jobs with SQS queuing, storing cleaned data in Elasticsearch with proper indexing for sub-second search performance. - DATA CLEANSING: Build validation layers using Pandas and regex patterns to catch malformed data before it enters your database, reducing downstream AI model errors by 70%. I've built 12 production scrapers that process 2M+ pages daily without getting blocked. I don't take on projects where anti-detection strategy isn't discussed upfront. Let's schedule a quick technical call to align on your target sites and compliance requirements before starting development.

@ashinnd84

Hello there, we are a team of senior Full Stack Web and Mobile App Developers and we can do this project in no time. Please, send me a message to discuss the work. Thanks Ashish Kumar.

@iimtpradeepdash

Hi! The bit about needing hands-on scraping with browser automation like Selenium and Playwright stands out. Most projects miss how tricky logins and dynamic pages get, especially with anti-bot checks. I usually build SaaS platforms where large data collection is one part of the overall automation pipeline. My experience is more with Node.js-based scraping and handling API data for AI tools, so I'm stronger on the backend workflow and structuring, not Python frameworks like Scrapy. If you want a quick review, I can map how I'd approach building data pipelines from browser to storage, including how to plug in LLM APIs for enrichment. Are you locked into Python for the scraping layer or open to considering Node.js as well? Happy to sketch this flow for free if you reply — just a fast outline showing the steps. You can also check examples of complex automation and AI-enabled apps I've built at work.techindika.com. — Pradeep

@rishabh58

I'm excited about the opportunity to work as a Junior/Mid Level AI Data Scraping Engineer. From your project's description, it's clear that you're looking for someone with hands-on experience in Python-based web scraping and automation, using tools like Scrapy and Selenium. I understand that you're aiming to develop reliable workflows for data extraction, especially for dynamic websites, ensuring high data quality. With my background in full-stack development and extensive experience in API integrations and automation, I’m well-equipped to handle the challenges outlined. I've worked on various projects requiring data scraping and automation solutions, including building robust systems using Python frameworks. My familiarity with AI-powered tools and understanding of LLM automation workflows further align with your needs. For a technical approach, I suggest leveraging Scrapy for structured data scraping and Selenium or Playwright for dynamic content. This would ensure efficiency and robustness in the scraping process. Key deliverables will include: 1. Development of scraping scripts for both structured and unstructured data. 2. Implementation of error handling and data validation processes. 3. Monitoring and optimization of scraping jobs. 4. Documentation for long-term maintenance. Given your fast-paced environment, I estimate a timeline of 3 days to deliver initial scripts, but this can be adjusted based on your specific requirements. One clarification question: Are there any specific websites or types of data that you require scraping from, as this could affect the implementation strategy? I look forward to the possibility of contributing to your team and implementing solid data extraction solutions! Regards, Rishabh

@Hrolgar

The brief is light on target sites and cadence, so I'll pitch the shape I'd build and you tell me where it's off. For an AI-flavoured scraping role I'd default to Scrapy plus a Playwright fallback for JS-heavy pages, with extracted records cleaned through a small LLM step (Claude or a local model, depending on volume) before indexing into Elasticsearch. Selenium only where Playwright actually struggles. On AWS I'd run crawlers on Fargate or spot EC2 behind a rotating proxy pool, push raw HTML to S3 for replay, and keep cleaned records in managed OpenSearch. That gives you re-extraction without re-crawling when the schema shifts. I'm 5.0 on Freelancer with 7 reviews and 100% on-time, strongest in Python and Linux/Docker. Plan across 14 days: target spec plus one spider, full crawl with S3 raw store, LLM cleanup and ES indexing, then monitoring and handoff docs. INR 45000 sits above the listing ceiling because this is a real pipeline with cleanup and search, not a single spider; sized for delivery and a deploy you can actually keep running. I can scope the first milestone alone if you want a smaller test of the working style. If you can share the target sites and rough record volume, I'll tighten the estimate before we start.

@growwithgdp

✅ I have strong hands-on experience with Python-based web scraping, browser automation, and large-scale structured data extraction using Scrapy, Selenium, Playwright, BeautifulSoup, APIs, and automation workflows. ✅ Experienced in handling dynamic websites, authenticated sessions, proxy/cookie management, data cleaning, AI-assisted extraction workflows, and scalable automation pipelines using Docker, Git, and Linux environments. ✅ Comfortable working in fast-paced AI/data-engineering projects with strong debugging, optimization, and analytical skills, including LLM/OpenAI-integrated scraping and enrichment workflows.

@salajka

Hi! I see you need an engineer to build AI-powered scraping workflows. While the role targets junior/mid-level, I am bidding as a senior expert and founder of FlowZuite. With 11+ years in Python, Playwright, and Apps Script, I don't just extract data; I build intelligent, self-healing harvesting ecosystems that I use to run my own firms (Smartech Elevators, Hornbill Exim, and Snackerz Shack). My Technical Strategy: LeadFlow Scraping Logic: I’ll implement workflows using my LeadFlow architecture (Playwright/Scrapy), specifically designed to handle dynamic JS-heavy sites, rotation, and session persistence without blocks. AI-Powered Extraction: I specialize in integrating Gemini 1.5/2.5 Pro and LangChain to transform unstructured web data into clean, validated JSON/relational datasets. Containerized Workflows: I use Git and Docker for scalable deployment, ensuring scraping jobs are monitored and optimized for zero-fail performance. Why Choose Me? Sportzflow (Real-Time Data): My product Sportzflow proves my mastery in reconciling live, high-frequency sports data into structured environments. Owner's Perspective: I treat your data quality with the same precision I use for my own global export audits at Hornbill Exim. Best regards, Salaj Augustine FlowZuite Founder | Systems & Automation Architect

@NEHABHAT92

As a seasoned AI data scraping engineer, I've been solving complex problems in the data engineering domain for over 9 years. With solid experience in Python-based web scraping using Scrapy, Selenium, Playwright, Requests and BeautifulSoup, I've developed and maintained successful web scraping and browser automation scripts that can handle dynamic websites with login sessions, cookies, and more. My skill set also includes working with APIs, JSON/XML handling, databases, automation scripting, Git Docker and Linux environments – a What sets me apart is my knack for applying AI-enabled automation tools like ChatGPT and OpenAI APIs to drive intelligent data extraction and enrichment workflows – something that would be advantageous for your team as you seek to optimize certain processes. My role will extend beyond simply writing scripts as I will actively monitor scraping jobs, debug failures, optimize crawlers and collaborate closely with your AI teams and product teams on scalable data acquisition projects. In addition to my solid technical expertise, I bring in a meticulous approach to my work that involves thorough data cleaning, validation, transformation to ensure downstream analytics and AI applications are based on clean data. Being proficient in working remotely (which seems to be the preferred mode of engagement) while delivering quality work consistently has been a key aspect of my professional experience. Finally, being part of an IT services company

@himanshus642

As a seasoned Full Stack Developer with over 5 years of experience, I can bring a unique blend of technical expertise to your Junior/Mid Level AI Data Scraping Engineer roles. My proficiency in Python-based web scraping, browser automation, and data extraction align precisely with your project requirements. Whether it's Scrapy, Selenium, Playwright, Requests or BeautifulSoup – I'm well-versed and have delivered high-quality code on these frameworks. Moreover, my background in delivering AI automation projects makes me ready to tackle the challenges of AI-powered data extraction and enrichment workflows you're seeking to accomplish. Through my previous work with SaaS platforms and AI automation systems, I've sharpened my analytical and problem-solving skills. This enables me to proficiently handle dynamic websites, login sessions, cookies, automated scripting for structured/unstructured data extraction.

@umairinayat1

As an AI/ML Engineer with a strong expertise in backend API development, I bring over 3 years of experience working across NLP, Computer Vision, and Data Engineering to the table. My skill-set perfectly matches your project requirements as I have thorough hands-on knowledge of Python programming and different scraping frameworks such as Scrapy, Selenium, Playwright, or BeautifulSoup. Additionally, my familiarity with automation workflows, databases, JSON/XML handling, and cloud concepts provide me with a holistic understanding of the data scraping process - allowing me to combat complex web scraping challenges with ease. Furthermore, I am adept at working in powerful AI tools such as LLM APIs and browser automation, giving me an edge when it comes to implementing modern scraping techniques effectively. Having completed various end-to-end data engineering projects including data pre-processing, model training, deployment for real-time usage across platforms such as AWS and Azure,I'm highly focused on delivering quality deliverables and ensuring smooth project functioning. Furthermore,I've also worked extensively with Git , Docker Linux environments which would ensure top-notch collaboration. Full ownership from first commit to final deployment is what you can expect from me.

@TechizeBuilder

Hi, I came across your project "Junior/Mid Level AI Data Scraping Engineer" and I'm confident I can help you with it. About Me: I'm a full stack developer and agency owner with over 8+ years of experience in Artificial Intelligence, Python, Web Scraping. , and I understand exactly what’s needed to deliver high-quality results on time. Why Choose Me? - ✅ Expertise in required Technologies and 1 year post deployment free support - ✅ On-time delivery and excellent communication - ✅ 100% satisfaction guarantee Let’s discuss your project in more detail. I’m available to start immediately and would love to hear more about your goals. Looking forward to working with you! Best regards, Deepak Hello, We provide complete ERP solutions tailored to business requirements such as HRMS, CRM, inventory management, sales, finance, employee management, and custom workflow automation. We already have a working ERP demo available that can help you understand the system capabilities, modules, user roles, and customization possibilities before project initiation. Our solution is scalable, user-friendly, and can be customized according to your business processes and future expansion needs. Let’s connect to discuss your requirements in detail and schedule a demo. Thanks.