Web Scraping Specialist for Insightful Content

@AwaisChaudhry

Hello, I’m Muhammad Awais, and I understand you want a robust content intelligence pipeline with scalable web scraping, browser automation, and clean data outputs. I will design modular scraping workflows for LinkedIn, X, Reddit, Substack, Facebook, and Instagram, using Playwright or Selenium for browser-based tasks and lightweight scrapers where possible. The stack will be Python or Node.js with Scrapy or Apify, plus MongoDB or PostgreSQL for storage. I will implement delta scraping, session management, proxy rotation, and anti-blocking strategies, and provide JSON/CSV/DB outputs for downstream analytics. I will ensure maintainability as platforms evolve, with tests and monitoring, and ready-to-run Apify Actors or Node/Python scripts. The approach includes profiling data models, developing profile/org/keyword-based crawlers, and setting up automated pipelines with weekly deliverables. What is the most important platform to prioritize in the initial 4–6 weeks, and are there any preferred proxy services or hosting environments you want us to target? Best regards,

@shrec

Hi, I have strong experience building scalable scraping/data pipelines using Python/Node.js, Playwright, Puppeteer, Selenium, APIs, and structured data workflows for monitoring/analytics platforms. Experienced with browser automation, session handling, proxies, data normalization, and long-term maintenance of evolving systems. I can work in your Time for meetings, provide clear communication with regular updates, and meet weekly deadlines reliably. Budget is reasonable and negotiable based on scope. Looking forward to long-term collaboration. Best regards.

@chirgeo

Hi, Your project matches work I've been doing for years — building resilient scraping pipelines across the exact platforms you listed (LinkedIn, X, Reddit, Substack, Meta) and shipping clean structured data downstream. Relevant work: Competitive intel platform: daily LinkedIn + X scraping across 4,000 orgs on Playwright + residential proxies. Delta scraping cut compute ~70%. Newsletter/creator monitor: Substack, Medium, Reddit aggregation feeding weekly digests. Lightweight HTTP scrapers where possible, headless browsers only when needed. Custom Apify Actors for LinkedIn profile/post scraping with session pooling. Stack: Python (asyncio, httpx, Playwright) primary, Node.js (Puppeteer, Crawlee) when needed. Scrapy for high-volume crawls. PostgreSQL + MongoDB + S3. Residential/datacenter proxy mixing, fingerprint randomization, session warming, smart retry/backoff. Browser automation: Playwright daily for years, plus Puppeteer/Selenium. Comfortable with stealth, context isolation, persistent auth states, and the constant anti-bot cat-and-mouse. Monitoring and selector-drift alerting built in from day one. Availability: 30–40 hrs/week, fully available evenings US Eastern. Can start within a week. Rate: $35–45/hr, or monthly retainer. Happy to do a paid trial week — one platform, end-to-end — so you can evaluate before committing long-term. Quick questions: how many profiles/orgs per platform at launch, and Apify-managed vs. self-hosted preference?

@ZohaibRoy

⭐⭐⭐⭐⭐ Expert Web Scraping & Data Engineering for Your Content Insights ❇️ Hi My Friend, I hope you are doing well. I've reviewed your project requirements and see you are looking for a Senior Web Scraping & Data Engineering Developer. Look no further; Zohaib is here to help you! My team has successfully completed over 50 similar projects for web scraping and data engineering. I will build efficient scraping workflows and ensure reliable data collection to support your analytics framework. ➡️ Why Me? I can easily handle your project as I have 5 years of experience in web scraping, data engineering, and browser automation. My expertise includes Python, Node.js, and various scraping frameworks. I also have a strong grip on proxy rotation, session management, and anti-detection techniques, ensuring a robust solution for your needs. ➡️ Let's have a quick chat to discuss your project in detail, and I can show you samples of my previous work. I look forward to our conversation! ➡️ Skills & Experience: ✅ Python ✅ Node.js ✅ Playwright ✅ Puppeteer ✅ Selenium ✅ Scrapy ✅ Apify ✅ Data Engineering ✅ API Integration ✅ MongoDB ✅ PostgreSQL ✅ JSON/CSV Outputs Waiting for your response! Best Regards, Zohaib

@irsolutions

With over a decade of experience in web scraping, data engineering, and API integration, I understand your need for a Senior Web Scraping & Data Engineering Developer for your Content Intelligence Platform. Your project goal to build a content-aggregation and insights pipeline aligns closely with my background in high-complexity systems, including optimizing concurrency, session handling, and anti-blocking strategies for efficient data collection from major online platforms. My strategic insight for ensuring scalability and reliability in this project involves implementing lightweight scrapers where appropriate to reduce compute usage. I have successfully built and scaled scraping workflows for platforms with strong anti-bot protections, similar to what you require. For instance, I have developed structured data outputs for downstream analytics, including JSON and CSV formats, in past projects serving over 1 million users. I invite you to contact me to discuss how we can collaborate on this project, sharing insights from my past scraping and automation projects. Let's strategize on the best tech stack and approach to meet your project's needs effectively and efficiently.

@Herculesz

Hi, this content aggregation and insights platform requires robust scraping and automation to handle multiple public sources reliably. The real engineering risk lies in ingestion—maintaining reliable, scalable scraping workflows despite anti-bot defenses and platform changes. I usually structure scraping pipelines with clear separation between ingestion, data normalization, and downstream analytics to ensure maintainability and scalability. I've built several production systems that integrate browser automation with data engineering, including the AI-Driven Marketing Suite Development project, which involved complex API integrations and automation workflows. I recommend separating session management and concurrency control layers to optimize throughput while minimizing detection risk, balancing lightweight scrapers with browser automation where appropriate. While this project does not focus on LLM orchestration, I emphasize reliability through monitoring and fallback mechanisms for scraping failures. Systems I design are built for long-term production use with clear documentation and modular components. I can start by outlining a retrieval pipeline and sketching ingestion architecture tailored to your platform targets. Thanks, Hercules

@DeveloperStation

Hi, We’ve built several web scraping solutions that are now actively used by our clients. One of our products, Descripio, uses advanced scraping techniques to extract data from Amazon and eBay, leveraging AI to generate optimized product titles and descriptions. We also developed a Chrome extension for this product, allowing users to scrape data directly from Amazon and eBay product pages. We’re experts in both server-side and browser-side scraping, using tools like Puppeteer, Playwright, Selenium, and more. We can handle complex scenarios such as login sessions, CAPTCHA solving, and dynamic content loading. Let’s schedule a 10-minute introductory call to discuss your project in more detail and see if I’m the right fit for your needs. I’m eager to learn more about your exciting project. Best regards, Adil

@ShaikhAneesa

Hi there, I’ve carefully reviewed your requirements and understand you need a scalable content intelligence and scraping pipeline capable of collecting structured data from multiple public platforms while handling anti-bot protections, browser automation, and long-term maintainability. I am confident I can help build reliable scraping workflows optimized for analytics, monitoring, and downstream enrichment systems. My approach will be to develop modular scraping pipelines using Playwright/Puppeteer with lightweight scraping layers where possible to minimize compute costs. I will implement profile-, organization-, and keyword-based scraping, delta collection for new content only, session/proxy rotation, concurrency optimization, and structured normalization pipelines for JSON/CSV/database outputs. The architecture will remain flexible and maintainable as platform structures evolve. My preferred stack includes Python (Playwright, Scrapy, FastAPI) and Node.js where needed, with MongoDB/PostgreSQL for storage and Apify Actors for orchestration. I also have experience building browser automation workflows, scalable scraping systems, API integrations, and structured analytics pipelines. Before I proceed, do you already have a preferred infrastructure setup (Apify, AWS, GCP, VPS, etc.), or should I recommend the most cost-efficient architecture for long-term scaling? I’d love to discuss the workflow and roadmap further. Cheers, Aneesa.

@corpmember29

I UNDERSTAND THAT “YOU NEED MORE THAN SCRAPING — YOU NEED A RELIABLE DATA INTELLIGENCE PIPELINE THAT SURVIVES PLATFORM CHANGES.” As per the job post, we are a 12+ years experienced data engineering team specializing in web scraping, browser automation, and large-scale content intelligence systems. We can build a scalable, maintainable ingestion pipeline that collects, structures, and updates data from major platforms while minimizing breakage and maximizing efficiency. Scope of Work: • Multi-platform scraping (LinkedIn, X, Reddit, Substack, Instagram, etc.) • Playwright / Puppeteer / Selenium-based automation layer • API + browser hybrid extraction strategy for stability • Profile, keyword, and organization-based data collection • Delta scraping (only new/changed content) • Anti-blocking, session handling, and concurrency optimization • Structured output (JSON / CSV / MongoDB / PostgreSQL) • Integration with Apify or custom Node.js/Python pipelines • Data normalization and enrichment-ready structure System Design: Scraping layer → queue system → data cleaning → storage → analytics-ready output Preferred Stack: Python (Scrapy / Playwright) or Node.js (Puppeteer / Playwright) + MongoDB/PostgreSQL + cloud-based proxy/session management We are available for long-term engagement and can align with US time-zone communication requirements.

@teodorgeorge

Hello, I can help build and maintain a reliable scraping and data pipeline for your content intelligence platform, covering sources like LinkedIn, X/Twitter, Reddit, Substack, Facebook, Instagram, and other public pages. I have strong experience with Python/Node.js, Playwright, Puppeteer, Selenium, Scrapy, Apify-style workflows, proxy/session handling, API integration, and structured outputs to JSON, CSV, MongoDB, PostgreSQL, or cloud storage. I can design profile, organization, and keyword-based collectors with delta scraping, clean data normalization, and lightweight scraping where possible to reduce compute usage while keeping the system maintainable as platforms change. I am ready to begin immediately and would be happy to discuss the project in further detail. Thanks, Teo

@kamran2012

I can help with this, I will build your multi-platform scraping pipeline — LinkedIn, X, Reddit, Substack, and other public sources — with structured JSON/CSV output feeding directly into your analytics framework. I will handle delta scraping, proxy rotation, session management, and anti-detection so each workflow stays reliable as platforms update their defenses. One approach I will use: a tiered scraping architecture where lightweight HTTP scrapers handle platforms with minimal protection, and Playwright-based browser automation kicks in only where needed. This cuts compute costs significantly while keeping data collection consistent across all sources. Questions: 1) Are you already running Apify infrastructure, or is the platform choice still open? Ready to start whenever you are. Kamran

@OutsourceMan

⭐⭐⭐⭐⭐ Strong alignment with your Content Intelligence Platform needs for aggregating data from LinkedIn, X/Twitter, Reddit, Substack, Facebook, Instagram and public sources. CnELIndia team brings 7+ years of experience in web scraping, browser automation and data pipelines using Python, Node.js, Playwright, Puppeteer, Selenium, Scrapy and Apify. We excel in building scalable, anti-detection workflows with proxy rotation, session management, concurrency optimization and delta scraping for efficient new content capture. Deliver structured outputs in JSON/CSV for your monthly insights and analytics framework, with MongoDB/PostgreSQL integration. Steps CnELIndia team will follow for successful completion: Initial kickoff call to finalize requirements and priorities. Phase 1: Develop and test POC scrapers for key platforms within first 2 weeks. Phase 2: Build full production pipelines with monitoring and weekly deliverables. Phase 3: Ongoing maintenance, optimization and adaptation to platform updates. Flexible for long-term 3-12 months engagement and available for US Eastern Time calls. Ready to share past project examples and discuss competitive rates based on scope.

@quan9824

With an extensive background in web scraping and as an expert in both Node.js and Python, I am your ideal candidate for this project. I have a remarkable success rate in not only completing projects on time but also delivering exceptional results. I am particularly proficient in browser automation frameworks like Playwright, Puppeteer, and Selenium cited in the project description. This familiarity affords me the capability to build and maintain scraping workflows for platforms like LinkedIn, Twitter, Facebook, Reddit and more in an optimal and efficient manner. As a developer from a cost-effective region, optimizing resource use is one of my strong suits. To this end, I have substantial experience in designing scalable, maintainable scraping pipelines that can also handle strong anti-bot systems effectively. Additionally, data output is produced using structured formats (JSON/CSV/DB) which will be ideal for your downstream analytics. Another key strength that sets me apart is my ability to adapt quickly to changes in web platforms - an essential skill when working with evolving technologies – we don’t want your systems blocked! In conclusion, my commitment to clean code writing, maintaining industry best practices, problem-solving abilities and availability for periodic calls align perfectly with your project needs. Let's bring Insightful Content Intelligence to fruition!

@topcreator100

Hi there, I’m excited about building a robust content intelligence pipeline and I bring hands-on experience with Python/Node.js, Playwright, Scrapy, and Apify to deliver scalable scrapers for LinkedIn, X/Twitter, Reddit, Substack, Facebook, Instagram, and other public sources. I’ll implement lightweight scrapers, delta scraping, solid session management, and intelligent proxy rotation to keep throughput high while staying resilient to anti-blocking measures as platforms evolve. My plan is to design profile-based, organization-based, and keyword-based workflows, produce structured data outputs (JSON/CSV/DB), and integrate with Apify Actors or custom Node.js/Python scripts for scheduling and automation. I have worked on similar content-aggregation systems, including API integrations, data normalization, and downstream analytics workloads, and I am genuinely interested in this project. Next step: I can start with a quick discovery call and draft a pilot plan with milestones and timelines to align on scope and success criteria . Best regards,

@tushortz

Hello, I've carefully reviewed your project description. You need a Senior Web Scraping & Data Engineering Developer to build and maintain a content aggregation and insights pipeline from various online platforms. This aligns perfectly with my expertise. I'm Taiwo, a UK-based Senior Software Developer with 10 years of experience. My background includes working with companies like IBM, UK Government, BMW and Sky, where I developed robust backend systems. My skills in Python, Node.js, browser automation (Playwright, Puppeteer, Selenium), and data engineering make me a strong fit for this role. I also have a Master's degree in Cyber Security. I can build scalable, maintainable scraping workflows for platforms like LinkedIn, X/Twitter, Reddit, and others, focusing on anti-blocking strategies, concurrency, and efficient delta scraping. I have experience with Apify, Scrapy, REST APIs, and data normalization, and I am familiar with MongoDB and PostgreSQL. Relevant projects: ⏺ATS Express - A Chrome extension that allows recruiters to track potential employees ATS (Applicant Tracking System) applications and get notifications when new jobs are posted. ⏺Web scraping into a time series chart. My preferred tech stack includes Python, Playwright, and PostgreSQL. I'm available for weekly deliverables and periodic calls during US Eastern Time evenings. To discuss your project's specifics and my hourly/monthly rate, please feel free to reach out.

@DeyaaAhmed

Hi, I am a senior developer with extensive experience building scalable content intelligence pipelines using Python (Scrapy/Playwright) and Node.js. I have successfully built and maintained scrapers for high-security platforms like LinkedIn, X/Twitter, Reddit, and Instagram, implementing robust anti-detection strategies including residential proxy rotation, browser fingerprint management, and session persistence. My approach prioritizes efficiency through delta scraping to capture only new content, reducing compute costs while ensuring data freshness. I structure outputs in JSON/CSV or directly into PostgreSQL/MongoDB for seamless downstream analytics. I am available for long-term engagement (3–12 months) with weekly deliverables and can accommodate calls in US Eastern Time evenings. I can share relevant portfolio examples of similar aggregation systems upon request. My rate is competitive based on the complexity and scale of the required workflows. I also offer FREE post-delivery support during the initial phase to monitor scraper stability, adjust selectors as platforms evolve, and optimize concurrency settings for better performance. Let's discuss the project in more details.

@yuliussmayoru

Hey there! Scraping platforms like these usually break when anti-bot systems detect patterns, sessions aren’t managed properly, or pipelines don’t scale — I’d solve this by building a resilient scraping system with smart rotation, delta tracking, and modular workflows that adapt as platforms change. I’ve spent over 10 years working on data pipelines and web automation, including scraping high-restriction platforms using Playwright, Puppeteer, and Python-based tools. I typically design systems with a mix of browser automation (for complex platforms) and lightweight scrapers (for efficiency), combined with proxy rotation, session persistence, and retry logic to maintain stability. I’d structure your pipeline to support profile/keyword-based scraping, delta updates, and clean output into JSON/DB for analytics. I’m also comfortable integrating with Apify or building custom scalable services using Node.js or Python. My focus is long-term reliability — systems that keep working even as platforms evolve. I communicate clearly, deliver weekly progress, and can align with US Eastern evening calls.

@Feriver

Hello, I understand you're building a long-term content aggregation and insights pipeline that collects and processes data from platforms like LinkedIn, X, Reddit, Substack, Instagram, and Facebook, with a focus on scalable delta scraping, automation, and structured analytics outputs. I will design and implement robust scraping workflows using Python/Node.js with Playwright, Scrapy, or Selenium, combined with API integrations where available. The system will include modular collectors, data normalization, deduplication, and delta scraping to ensure only new content is processed. Outputs will be structured into JSON/CSV and stored in MongoDB/PostgreSQL or cloud storage for downstream analytics and reporting. I can support a long-term engagement with maintainable pipelines, monitoring, and adaptability as platforms evolve. My focus is reliability, clean architecture, and production-ready data engineering. You can also view my portfolio here: https://www.freelancer.com/u/Feriver Thanks, Asif

@Mobilehead

Hello, I can build and maintain reliable scraping and browser automation pipelines for LinkedIn, X/Twitter, Reddit, Substack, Facebook, Instagram, and other public sources to feed your content intelligence platform. I use Node.js and Python with Playwright, Puppeteer, Scrapy, or Apify, and I design delta scraping, proxy rotation, session handling, and structured JSON/CSV/DB outputs for analytics. I am available for long‑term work with weekly deliverables, can take US Eastern evening calls, and my rate is flexible based on scope; examples and references are ready on request. Thank you, Sherman.