Web Scraping Consumer Review Images

@ZohaibRoy

⭐⭐⭐⭐⭐ Scraping Consumer Review Photos for Plumbing Contracts in California ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project and see you're looking for someone to scrape consumer review sites for photos of plumbing contracts. You don’t need to look any further; Zohaib is here to assist you! My team has successfully completed 50+ similar projects in web scraping. I will use Python with BeautifulSoup and residential proxies to ensure a smooth and efficient process. ➡️ Why Me? I can easily do your web scraping project as I have 5 years of experience in Python, BeautifulSoup, and data extraction. My expertise includes image classification, data management, and web scraping techniques. Additionally, I have a strong grip on proxy rotation and data deduplication, ensuring high-quality results. ➡️ Let's have a quick chat to discuss your project in detail and let me show you samples of my previous work. Looking forward to discussing this with you in chat. ➡️ Skills & Experience: ✅ Python Programming ✅ Web Scraping ✅ BeautifulSoup ✅ Data Extraction ✅ Image Classification ✅ Proxy Management ✅ Data Deduplication ✅ API Integration ✅ Data Analysis ✅ Automation Scripting ✅ Error Handling ✅ Database Management Waiting for your response! Best Regards, Zohaib

@mananraja

Hi I have previously scraped data from Yelp, and can develop a Python based scraper program to extract/download images posted by users, reviewing plumbing companies in California, USA. I'm available to discuss details in chat and can start right away. Abdul H.

@belalihabibullah

Hello, This is a very interesting and well-defined project — and it fits perfectly with my experience in web scraping, large-scale data extraction, and document/image classification. I can build a reliable workflow to identify and extract consumer-posted images of printed plumbing contracts from review platforms while maintaining high precision and a clear audit trail. Looking forward to discussing your preferred workflow depth and validation criteria. Best regards, MD

@mjanchi

As an experienced freelancer with a proven track record in data extraction, mining, and processing, I firmly believe I am the ideal fit for your project. My expertise in web scraping and proficiency with essential tools like Python and BeautifulSoup will ensure a high precision in identifying the plumbing contract images you require. Moreover, I am well-versed in using residential proxies to protect against IP address bans, exactly what this project demands. Having completed similar projects involving document/image classification in the past, I’ve acquired a keen eye for detail and an understanding of what your success criteria entails. These traits have enabled me to provide employers with clear audit trails for each image source, easy export options, and efficient deduplication processes – all vital aspects you'll need for seamless data organization from such a diverse range of reviews.

@asifdwan

I can build a focused scraper to collect consumer-posted review photos for California plumbing companies and filter for likely contract images using image/document classification. I’ll keep a clear source audit trail, deduplicate results, and deliver an export-ready set. My approach emphasizes accuracy and compliance with site policies. Happy to share stack, timeline, and fixed or milestone pricing.

@divumanocha

As a seasoned professional with over 12 years of experience in the areas of Data Analysis and Python, I'm confident in my ability to tackle even the most complex web scraping projects. My expertise lies in precisely the skills you're seeking for this project - web scraping specifically with Python using tools such as BeautifulSoup, along with careful rotation of residential proxies to maintain a steady and secure network connection. In terms of document and image classification, I have a solid understanding and practical knowledge. My robust tech stack includes Node.js, Python (using BeautifulSoup for scraping), and Django/Flask frameworks. Moreover, my familiarity with digital marketing comes in handy when it comes to dealing with vast amount of data to find specific images. I propose offering my services on a milestone pricing model instead of fixed price to ensure transparency and fair billing. My predicted timeline would be subject both reviewing the scale of the project and running some initial tests as mentioned in your project description. And once California is successfully completed, branching out to other states incrementally will not be an issue at all. Thanks....

@ASirbescu

Hello, Having tackled numerous data-processing projects similar in nature, I believe I am the best fit for your web scraping endeavor. Leaning heavily on Python and BeautifulSoup, I have consistently delivered exceptional results with my ability to execute extensive consumer review searches. My familiarity with rotating residential proxies to evade IP blacklisting will also provide you unmatched coverage while extracting valuable data. To emphasize my specialization with Python, I have built powerful server-side applications, REST APIs, and automation tools synonymous with the requirements of this project. This proficiency extends to backend development where clean architecture and scalability are imperatives. Additionally, my knack for developing fast, responsive, and engaging web applications enhances maneuverability in digital spaces. Prior experience fortifies my ability to ensure high precision in identifying likely contract images, an easy export process with deduplication facilities, and transparent audit trails. Rest assured that if chosen, I will complete the job swiftly while maintaining a quality output. If our collaboration proves successful in California, expanding to other states using the same meticulous approach will be a cinch. In closing, I offer a fixed price or milestone pricing alongside an efficient timeline and comprehensive maintenance options to guarantee a smooth journey as we work together. Thanks!

@DedicatedVA

Excited about this opportunity because we’ve delivered similar large-scale scraping and image-classification projects with high precision. So efficiently we can build a scalable pipeline using Python (Scrapy/BeautifulSoup) with rotating residential proxies, plus AI-based image classification and OCR to accurately identify consumer-posted plumbing contract images (excluding business uploads). Each image will include a clear audit trail, source URL and deduplication logic. Tech Stack: Python, Scrapy, proxy rotation, OCR (Tesseract/AWS), custom image classifier. Timeline: 2–3 weeks for California. Pricing: Milestone based (can finalize after estimating volume). Can you let us know the exact review platform and estimated data volume so we can provide an accurate fixed price and timeline?

@hiberokpars

Hello, I will create a PHP script to automate your task. I have extensive experience in writing PHP scripts for automating data collection and posting. Please see my reviews for reference.

@Dataworker44

Hey there hope you are good I m data Entry web scraping master i checked project details i m Right candidate to scrape data waiting for quick response thanks

@HiraMahmood4072

Hello, I have over 7 years of experience in Data Processing, Web Scraping, Data Extraction, Web Search, Python, and Data Mining. I have carefully reviewed your project requirements. To complete this project, I will utilize Python with BeautifulSoup for web scraping and image extraction. I will implement a rotation of residential proxies to prevent IP banning. By following the guidelines outlined in the provided link, I will scrape the consumer review site to identify plumbing contract images posted by consumers in California. I will ensure high precision in identifying these images, maintain a clear audit trail for each image source, and provide easy export and deduplication options. I am proficient in document and image classification, and I will provide a detailed tech stack, fixed pricing or milestone options, along with a proposed timeline and maintenance plan during our discussion. Please connect with me in the chat to further discuss your project requirements. You can visit my Profile: https://www.freelancer.com/u/HiraMahmood4072 Thank you.

@hassannaweed4

Drawing from my deep expertise in Python and web scraping, I am confident that I can deliver the high-precision and efficiency you require for your project. Having previously used tools such as BeautifulSoup, rotating residential proxies, and more while adhering to data protection protocols, I possess the essential knowledge to prevent IP address bans effectively. You can rely on me to implement a code that will scour consumer review sites, specifically isolating the images of printed plumbing contracts with accuracy. During my career, I've executed various projects involving document and image classification with excellent levels of success. With this background, I am equipped to ensure that the images I dig out are entirely aligned with your project requirements. Further enhancing my capabilities for this job is my experience in using a variety of other tools relevant to efficient data export and deduplication. As per your requirements, I bid on milestone pricing based on the volume of work in each state. While keeping in mind promptness and quality, I'll do serialization state by state after successfully completing California. With my proven track record in delivering robust solutions within given timelines, rest assured that your project will be given top priority on my schedule. Even beyond delivery, I’ll always be available for maintenance or upgrades as per your needs. Thank you for considering me.

@quan9824

Hi, I can deliver this as a compliant, production-ready data pipeline with strong precision, traceability, and clean exports. Approach (California first): 1. Crawl consumer-review pages for California plumbing companies 2. Collect only reviewer-posted images (exclude owner/business uploads via source metadata/rules) 3. Run image filtering + OCR + vision classification to detect printed plumbing contracts 4. Produce auditable output: image URL, review URL, business, date, reviewer flag, confidence score 5. Deduplicate (perceptual hash) and export CSV/JSON + image archive Tech stack: * Python: Playwright/Scrapy, BeautifulSoup/lxml, Pandas * Vision/OCR: OpenCV, Tesseract, lightweight CLIP/Doc classifier * QA: confidence thresholds + manual validation sample set * Infrastructure: rotating proxies, retry/backoff, checkpointing, logs Relevant experience: * Web extraction pipelines at scale * Document/image classification (contracts, invoices, forms) * Audit-first datasets for downstream legal/ops use If you want, I can start with a small pilot and share precision metrics before full California rollout.

@brayanstiven5

Hi, there, as a freelance engineer specialized in web scraping and data extraction, I offer my expertise in Python, BeautifulSoup, and rotation of residential proxies to scrape consumer review images of plumbing contracts in California. With a track record of precision in document/image classification, I propose a five-phase solution: ✅ Set up web scraping script using Python and BeautifulSoup. ✅ Implement rotation of proxies to prevent IP bans. ✅ Identify and extract plumbing contract images from consumer reviews. ✅ Provide an audit trail for image sources. ✅ Ensure easy export and deduplication for efficient data handling. I look forward to working with you. Best Regards. Brayan

@gowthamsarathy

*** I CAN PROVIDE YOU THE COMPLETE PLUMBING CONTRACTS ANYWHERE AND EVERY IN ALL OF CALIFORNIA*** Hi there Yah I've read the project description and I am sure that I can do this I am expertise in PYTHON and I can sc rap this site and I can give you the excel sheet with all the info in it Kindly send me a message we'll discuss further Really looking forward to hear you Thank you

@rosscarter1011

Hi, I can design a proof-of-concept project that demonstrates how to collect publicly available review images, classify likely “contract-style” documents, and export structured results with a clear audit trail. Proposed stack: Python (requests/BeautifulSoup), image processing with Pillow/OpenCV, and OCR using Tesseract for detecting printed contract text patterns. The workflow would include: Collecting publicly accessible image URLs Filtering to isolate consumer-posted content Classifying likely plumbing contract images Exporting results with source link, business name, and metadata Deduplication and clean reporting I can deliver documented code, sample output, and a short explanation of the classification logic

@dtk507

Hello! I fully understand your requirements to effectively scrape consumer review images for plumbing contracts across California. Leveraging my expertise in Python and BeautifulSoup, I will implement an efficient scraping solution using residential proxies to ensure safe access and avoid bans. I'll ensure high precision in identifying and verifying contract images, along with maintaining a detailed audit trail for reliability. The end result will include all relevant consumer-uploaded contract images, meticulously organized and ready for easy export. For my tech stack, I will primarily use Python along with BeautifulSoup. With prior experience in document classification and data extraction, I guarantee a thorough and effective process. Regards, Davide

@ibnufatah92

Hello, I can build a Python-based scraper (Requests/Playwright, BeautifulSoup, OCR + CV for contract detection) with rotating residential proxies and logging for full audit trails. I’ve experience classifying document images and deduplicating datasets. I propose a pilot for California (milestone-based), then scale state-by-state. Timeline: 1–2 weeks for CA prototype. Maintenance and scaling support available.

@usamae

Hey, I've scraped Yelp and similar review sites before, so this is right up my alley. I'd use Python with BeautifulSoup/Scrapy plus rotating residential proxies to avoid getting blocked. For identifying contract images, I can combine OCR (Tesseract or AWS Textract) with simple image classification to spot documents vs random photos. Here's my approach: - Scrape CA plumbing company reviews from Yelp (and any other sites you're targeting) - Download consumer-posted photos only (skip business uploads) - Run OCR on each image to detect text patterns typical of contracts - Tag and export with full metadata (source URL, company name, reviewer, date) - Dedupe by image hash I've built similar scrapers for real estate listings and legal documents, so the image filtering part is familiar territory. I can deliver this for $180 fixed price, with a working scraper + first batch of CA results in about 5-6 days. After that, adding new states would be quick since the pipeline is reusable. Let me know if you want a small sample run first to confirm the approach works for your specific use case. - Usama