Web Scraping Expert Needed | Real-World Scraping Experience

@adeelpirzada

Hi, I am Adeel. I work on Boostifai, an AI SaaS platform where we built our own scraping and extraction pipelines for site audits, so handling dynamic and JS-rendered pages is routine for us. For complex or protected sites I use Playwright or Selenium with rotating proxies and realistic request pacing, and fall back to direct API calls when a site exposes them, since that is always more stable than scraping the DOM. I work 30 to 40 hours a week and can start right away, with daily updates on progress and any site changes that break a scraper. What sites or platforms are the main targets for this work?

@ramzitra

Having successfully navigated the intersection of development, operations, and security for over 13 years, I believe my extensive experience as a Senior DevOps & Python Developer aligns directly with your search for a highly skilled web scraping expert. My overarching goal has been to build robust, efficient, and scalable solutions, be it APIs or automation workflows - skills that are directly transferrable to this role. In the realm of web scraping, I'm intimately acquainted with libraries like BeautifulSoup and powerful languages such as Python which are needed to perform tasks at scale. Having undertaken similar assignments before, I am well-equipped to tackle the very real-world complexities involved in scraping huge volumes of data from dynamic websites while effectively dealing with anti-bot measures. Central to my approach is understanding how websites work down to the intricate details - HTTP, HTML, DOMs + JavaScript execution etc. This holistic view helps me create scraping tactics that can outmaneuver different permutations thrown by websites safely and consistently. Simultaneously, my experience in playing with browser network requests further bolsters my ability to deal with sophisticated restrictions thrown your way. Combinedly these skills will ensure both quality data extraction and minimal disruption in the process-something non-trivial considering the scale of your data requirements

@imraz2016

Hi, I build Python scraping workflows for large-scale structured data extraction using Scrapy, Playwright, BeautifulSoup and APIs. I handle pagination, JS-rendered pages, retries/rate limits, authentication and proxy-based workflows where permitted. For dynamic/anti-bot sites, I first inspect network/API traffic and use browser automation only where necessary. I can share relevant scraping samples from my portfolio. Rate: $10/hour. Available immediately.

@kchoudhary95

With your project's specific requirements, I am confident in delivering the results you need! As an experienced Full-Stack Web Developer with a focus on Automation and Data, I've developed numerous reliable and scalable solutions from end to end. In particular, I specialize in Python + Selenium automation, Web Scraping, Data mining, and Research - skills that perfectly align with your project. Coming straight from the trenches, I have over 7 years of hands-on experience converting real-world challenges into effective technical solutions. This makes me adept at handling dynamic websites and successfully traversing anti-bot systems. My deep understanding of HTTP, HTML, DOM, APIs, and browser network requests comes into play when anti-bot protocols require bypassing. As someone who values transparency and dialogue, you can be assured of my timely communication regarding any technical challenges encountered along the way. Furthermore, I have an impressive track record with 130+ successful projects delivered on time and on budget with consistent 5-star client reviews. Choose me for a pragmatic, customer-centric approach that prioritizes your success while maintaining the highest standards of code quality and data accuracy. Let's discuss how we can turn this project into another feather in our shared cap!

@diektech

Hi — Elias here from Miami. I see you're seeking a web scraping expert to handle data extraction from various sources efficiently. The goal is to gather reliable, structured data. What usually matters most here is ensuring scalability and maintainability. A common issue in systems like this is managing rate limits and adapting to changing website structures. The tricky part is usually handling permissions and compliance. My approach involves using frameworks like Scrapy or Selenium, depending on site complexity. I focus on building a modular architecture for easy updates as requirements evolve, allowing us to adapt without extensive rework. I've worked on similar projects where data extraction was critical, implementing solutions that scaled well with increasing data volume. A few questions to better understand the scope: Q1 – What types of sites are you looking to scrape, and do you anticipate specific challenges? Q2 – Are there preferred data formats or storage solutions for the extracted data? Q3 – What are your expectations regarding the scraping frequency and data updates? Happy to discuss the details and suggest the best technical approach. Looking forward to hearing from you.

@Guptapuru304

As a top 1% freelancer on Freelancer.com with over a decade of experience, I am the perfect fit for your web scraping project. My team and I have a wealth of experience in web application development and automation, making me adept at handling the complex interplay of HTML, DOM, APIs, and more that form the foundation of reliable web scraping solutions. I specialize in data extraction, mining, processing, and refining it to ensure utmost accuracy and consistency – skills essential for creating structured data from even the most challenging websites. In tackling the intricacies of web scraping, I have developed a robust proficiency in Python and browser automation tools like Scrapy, Playwright, Selenium as well as data parsing tools like BeautifulSoup. My projects have spanned from 'simple' pagination to anti-bot bypasses and dealing with frequent website changes. These experiences have armed me with an understanding of HTTP protocol, proficient handling of session management/authentication/API's/proxies/rate limits as well as troubleshooting techniques to ensure project success. While theoretical knowledge is valuable to me, proven competence is divine - I bring to you unmetrical experience capped with pragmatic problem-solving approach. Let's create something great together!

@tangramua

Hello,   We carefully studied the description of your project and we can confirm that we understand your needs and are also interested in your project. Our team has the necessary resources to start your project as soon as possible and complete it in a very short time.   We are 25 years in this business and our technical specialists have strong experience in JavaScript, Python, Data Processing, Web Scraping, Data Mining, Scrapy, Data Extraction, BeautifulSoup, Selenium, API Integration and other technologies relevant to your project.   Please, review our profile https://www.freelancer.com/u/tangramua where you can find detailed information about our company, our portfolio, and the client's recent reviews.   Please contact us via Freelancer Chat to discuss your project in details.    Best regards, Sales department Tangram Canada Inc.     

@AITSoft

Hi, I understand you need reliable scraping for real websites, including JavaScript pages, pagination, login flows, APIs, rate limits, and changing page layouts. I can build a clear Python scraper with browser automation where needed, inspect HTML and network requests, and save clean structured data consistently. JavaScript and HTML knowledge helps me understand how pages load and where the real data comes from, while Java can support related backend processing when required. My approach is to first review the target sites, data fields, access rules, and expected volume. Then I will test the request flow, choose the simplest stable method, add retries and safe delays, validate the output, and make the scraper easy to maintain. I will also explain any anti-bot or access limits clearly and only work within permitted access. Please share the target websites, sample fields, expected record count, and preferred storage format so I can suggest the right setup. Which target sites, data fields, record volume, and permitted access method should the scraper support first? Thank you.

@starttechno

For JavaScript-rendered pages with pagination, authentication, APIs, rate limits, and permitted anti-bot controls, I’d first inspect the browser’s network requests and identify the most stable data source before choosing DOM automation. I typically use Python with Scrapy for scale, Playwright only where browser execution is necessary, and structured output to JSON, CSV, or a database. I handle dynamic content with waits and response interception, while using session persistence, respectful pacing, retries, and authorized proxy rotation to reduce failures rather than relying on brittle selectors. I built an AI outreach system that discovers businesses on Google Maps, scrapes contact data, generates personalized messages, and sends them through paced SMTP rotation with unsubscribe handling. I can start immediately and, within 5 days, deliver the initial working scraper, structured export, and a maintainable workflow ready for iteration. Are the target websites and login credentials already available for review? Muhammad Saad

@ShaikhAneesa

Hi there, I’ve carefully reviewed the requirements and understand that you need someone who can build scraping systems that remain reliable when websites are dynamic, paginated, API-driven, or change over time. I’m confident I can handle the technical side from discovery through extraction, validation, and maintenance. My approach will start with inspecting the target site’s HTML, DOM structure, network requests, APIs, pagination, and JavaScript behavior to identify the most reliable extraction path. Then I’ll use Python with Playwright, Scrapy, Requests, and BeautifulSoup where appropriate, choosing direct API/HTTP extraction when it is more efficient than browser automation. Next, I’ll implement retries, throttling, session handling, structured logging, validation, deduplication, and clean data storage. For permitted anti-bot controls, I focus on compliant rate limiting, session consistency, and adapting the extraction workflow rather than attempting to bypass security controls. I’ve completed real-world Python scraping and browser-automation work, including Playwright-based automated data extraction, and can provide relevant project details where appropriate. Cheers, Aneesa

@rajat07me

As an experienced full-service digital agency, 360 Elevate, I believe my team and I are uniquely positioned to meet your web scraping needs. Over the years, we've developed a deep understanding of websites and complex data extraction through our WordPress, WooCommerce, Shopify, Wix, Webflow, and Squarespace work. We've built ERP, HRM, CRM systems as well as handled migrations along with server set-up on AWS and ongoing maintenance - all illustrating our expertise at handling large-scale projects. In addition to this full-stack skill set, we possess extensive web scraping skills employing a wide array of tools and approaches- this includes SELENIUM, BEAUTIFULSOUP among other major web scraping libraries in Python. Our vast experience in managing websites for clients has toughened us up against anti-bot systems and dynamic websites. Our signature research-driven approach ensures we forecast such changes before they impact anything. Moreover, our commitment to adaptability and consistency ensures excellent data accuracy and efficiency in line with your project expectations. By choosing 360 Elevate for your web scraping project, you will be benefitting from the unrivaled combination of seasoned craftsmanship in efficient code-writing combined with valuable industry insights for practical problem-solving. Don't just settle for theoretical knowledge; make room for the proven experience you deserve. Take the smart leap today

@vano101

Hi, I have hands-on experience building and maintaining Python web scrapers and browser-automation workflows for real-world websites, including dynamic JavaScript pages, pagination, DataTables, date pickers, API/network requests, and sites where normal HTTP requests are not sufficient. I’m comfortable working at both levels: analyzing the site’s HTTP/API behavior first and using browser automation only where necessary. I also focus on reliability—handling timeouts, retries, session state, changing DOM structures, rate limits, resource blocking, and long-running browser processes rather than simply extracting data once. My primary tools are Python with browser automation and direct HTTP/API requests, choosing the simplest and most efficient approach for each target. I can also investigate the browser’s network traffic to determine whether data can be obtained directly from an underlying API instead of unnecessarily scraping rendered HTML. Could you share: - The target website(s) or a representative example? - What data fields and approximate volume are required? - Is authentication involved? - Are you already experiencing blocking/failures with an existing scraper, or is this a new implementation? - Do you have an existing codebase that needs to be completed/maintained? I can review the actual target and suggest a practical scraping approach before development.

@asifdwan

Hi, I’m an experienced Python web scraping developer with hands-on experience building reusable scrapers for dynamic websites and large datasets. I typically use **Scrapy/BeautifulSoup with Playwright or Selenium** when JavaScript rendering is required, and I inspect network/API requests first to use the most efficient data source. Scrapy also provides AutoThrottle and concurrency controls for reliable, respectful crawling. For anti-bot systems, I use permitted approaches such as realistic browser sessions, appropriate rate limiting, retries and session handling rather than attempting to bypass security controls. I can provide completed scraper examples and start immediately. **Availability:** 30–40 hrs/week **Rate:** $15/hr

@intelliresponse

Hi, I’m an experienced Python web scraping developer with hands-on experience building reliable scrapers for dynamic and JavaScript-heavy websites. I work with Python, Scrapy, Playwright, Selenium, BeautifulSoup, REST APIs, and browser network inspection. I can handle pagination, authentication, proxies, rate limits, changing page structures, and permitted anti-bot protections. My approach is to first understand the site’s data flow and API/network requests, then build an efficient scraper with proper error handling, retries, validation, and structured data storage. I’m available to start and can share relevant scraping examples. Thanks!

@Hubready

Hello!, This is James from Hollywood... I read your post carefully, and the real challenge here is not just scraping data, but scraping it reliably without getting blocked, broken HTML, duplicates, or messy output. That’s the part I focus on. My approach is practical: 1. Review the target site structure and any anti-bot behavior 2. Pick the best method: requests, Scrapy, BeautifulSoup, Selenium, or API-based extraction 3. Build clean extraction with validation and retries 4. Deliver structured output in CSV, JSON, or database-ready format 5. Test edge cases so it works consistently, not just once I’ve built scraping and data pipelines for product catalogs, lead generation, price monitoring, and content extraction, so I know the difference between a quick script and something usable in the real world. A few relevant examples I’ve worked on: - a price-tracking scraper for a niche retail aggregator - a lead extraction tool for a B2B directory platform - a product data pipeline for a small e-commerce catalog - a review collection script for a local services website Quick questions: 1. What site or source are we scraping, and is login required? 2. Do you need a one-time extraction or an ongoing scraper with scheduling? 3. What output format do you want, CSV, JSON, Google Sheets, or API delivery? If you want someone who reads the details, thinks through the scraping risks, and delivers clean data instead of a fragile script, I’m ready to help.

@onlinejob247

Dear client, I can do this job of Web Scraping accurately as per your requirements and available to start immediately. Thanks!

@Tanmoy236

Hi, real-world scraping is less about the tools and more about adapting when sites change, handle JavaScript rendering, or fight back with anti-bot systems, and that adaptability is exactly what I bring. I have 9+ years of web scraping experience in Python using Scrapy, Playwright, Selenium, and BeautifulSoup, with completed projects across dynamic and protected websites. Here's how I can help: ● Build robust scrapers handling pagination, authentication, dynamic content, and JavaScript-rendered pages ● Manage proxies, rate limits, and anti-bot protections responsibly within what sites permit ● Extract structured data with accuracy checks and efficient storage, whether CSV, database, or API delivery ● Set up monitoring and fallback logic so failures are caught and fixed quickly when sites update ● Document the technical approach and challenges clearly so your team understands the solution Two quick questions: which websites or data types are you targeting, and do you need one-time extraction or an ongoing pipeline with scheduled runs? Let's connect in chat to discuss the technical approach.

@brashel

Hi, I’d be happy to help with this. I have experience with Python, web scraping, data extraction and browser automation, including dynamic pages, pagination, APIs, rate limits and structured data delivery.

@juanpablomacf

As a seasoned full-stack developer with a deep understanding of Python, JavaScript, and browser automation, I bring essential expertise to this project. My track record in transforming complex challenges into scalable AI solutions aligns seamlessly with the real-world scraping experience you're seeking. Focusing on the task at hand, I've built robust web scraping applications leveraging the efficiency of tools like Scrapy, BeautifulSoup, and Selenium, and have demonstrated strong proficiency in handling anti-bot systems and dynamic websites. My technical knowledge extends beyond the mechanics of web scraping itself. I'm well-versed in HTTP, HTML, DOM, APIs, and browser network requests that underpin scraping efforts - crucial in navigating intricate scraping scenarios while extracting structured data efficiently and consistently. One hallmark of my approach is the value I place on results over theoretical knowledge. I prioritize reliability, accuracy, and consistency in data storage to ensure not just an effective extraction process but also ease of use downstream. You can rely on me not only to build and maintain robust web scraping solutions but also to improvise and adapt when faced with failures and changes – a skill I've honed working on projects that require handling pagination, authentication, proxies and rate limits majority of which required the aid of cutting-edge technologies like Playwright.