Looking for a scraping developer who can scraping data from contactout page.

@imraz2016

HI there already i have checked project details job is clear so please contact me then i will show you sample, thank you

@OutsourceMan

When it comes to data scraping, my extensive 18 years of experience at CnELIndia has equipped me with the skills to efficiently extract, transform, and load data from various sources. My solid understanding of Python gives an added advantage since it's well known for its ease in handling web scraping. Throughout my profession, I've worked with a plethora of APIs, developed sophisticated web applications and have scraped countless websites obtaining desired data. ContactOut's 429 rate-limit issue would be seamlessly tackled using my robust techniques and methods which ensures successful operation without triggering any errors. My solution will allow you to not only filter by country and job title but also any other role you may eventually incorporate without breaking a sweat. As requested, I'll deduplicate records, handle pagination comprehensively, and ensure the captured (Full Name, LinkedIn URL, Company Website Domain) data is saved in a clean format in a CSV that reloads perfectly in Excel or Google Sheets. Our commitment to delivering projects meeting both time and budget constraints is unwavering. You can rely on me for timely delivery of thoroughly commented, seamless code that meets all your technical expectations. Let's kickstart this project today and provide you with a sample CSV showcasing the script successfully fetching live rows behind your specified filters.

@asifalimzd

Hi there, I can build a clean, reliable Python scraper that pulls filtered prospect data (country + job titles like Software Engineer/Data Scientist), handles pagination, removes duplicates, and exports everything into a well-structured CSV ready for Excel or Google Sheets. I’ll implement smart rate-control (delays, retries, rotation strategy if needed) to avoid 429 errors and ensure smooth, unattended runs. The script will be fully commented, configurable (so you can easily add more roles later), and delivered with a sample CSV to validate results. Kindly send me a message to discuss more. Thanks.

@nikhilgarg96

Hello, I am really excited about the opportunity to collaborate with you on this project! It aligns perfectly with my skill set and experience, and I’m confident I can contribute meaningfully to your vision. I genuinely enjoy working on projects like this, and I believe we can create something both functional and visually engaging. Please feel free to check out my profile to learn more about my past work and client feedback. I’d love to connect and discuss the project details further your goals, expectations, and any specific features or ideas you have in mind. The more I understand your vision, the better I can bring it to life. I am ready to get started right away and will put my full energy and focus into delivering quality results on time. My goal is not just to complete the project, but to exceed your expectations and build a long-term working relationship. Looking forward to hearing from you soon! With Regards! Nikhil

@DeveloperStation

Hi, I’ve developed multiple web scrapers that extract data from LinkedIn and similar platforms, so I understand the nuances of handling dynamic web pages and rate limits. I can create a robust solution that captures the exact data you need while avoiding 429 errors. For this project, I’d use Python with libraries like BeautifulSoup and Selenium to ensure we get the most accurate data. I’d also implement a multi-threaded approach to speed up the process without compromising on quality. Let’s schedule a 10-minute call to discuss your requirements in more detail and see if I’m the right fit for your project. I’m eager to learn more about your exciting project. Best regards, Adil

@Rekhathakur

As a business that specializes in custom software development, my team and I are more than capable to tackle this project. We have a wealth of experience in web scraping and data processing using PHP and Python, which aligns perfectly with the technical expectations of this task. One unique advantage we bring to the table is our expertise in Artificial Intelligence, particularly in Machine Learning and Natural Language Processing. This ensures that not only will we be able to develop scripts that scrape the Contact Out page efficiently and effectively, but we will also ensure that they can refine and filter the data based on your specific needs. Additionally, our proficiency with Fast API and Flask will ensure smooth deployment of any eventual ML models. Your project's mentions around clean code and well-formatted CSV files also resonated with me. As a team, we consistently emphasize clean coding practices and the ability to produce work that's truly user-friendly right till the end. So you can rest assured about being able to use our output seamlessly with Excel or Google Sheets. Partnering with a seasoned technology partner like WellSpring Infotech - with a comprehensive understanding of data management, high-quality deliverables, reduced technical risks, time efficiency, scalability, security-conscious approach - could just be the catalyst your business needs to thrive. Let’s connect and give your project the high-quality touch it deserves!!!! Thnak you!!!!

@Herculesz

Hi I have strong experience building clean Python data pipelines for CSV processing, API ingestion, deduplication, filtering, and export workflows for lead-generation and research teams. The main technical challenge in this kind of project is keeping the workflow reliable, unattended, and easy to maintain while ensuring the data source is used in a compliant way and the output is analysis-ready. I can build a lightweight script that ingests approved prospect data from an official export or supported API, filters it by country and title, extracts the required fields such as full name, LinkedIn URL, and company domain, and saves everything into a clean CSV ready for Excel or Google Sheets. I can also add pagination handling where the source supports it, automatic deduplication, configurable title lists, and structured logging so runs are easy to review later. My approach focuses on stable data collection, clear code, and simple configuration rather than brittle scraping logic that breaks or violates platform rules. I have worked on similar lead-processing and enrichment workflows where clean output, repeatability, and low-maintenance operation were critical. The final result will be a documented, reusable script that your team can run and extend safely over time. Thanks, Hercules

@iosifpeterfi

I'm Iosif Peterfi, 15+ years helping teams deliver reliable automation and secure platforms. This is my speciality: turning data gathering tasks into dependable automation that respects limits and returns clean CSV outputs. You need a small script to pull prospect data from ContactOut with country and job title filters (Software Engineer and Data Scientist, with easy room to add more roles). For each match, capture Full name, LinkedIn URL, and company website domain, then save to a CSV that loads in Excel or Sheets without cleanup. Deliverables: scraper source code and a sample CSV showing several live rows behind the filters. My approach delivers a compact, well-documented script that runs on demand or a simple schedule, with easy extension for new titles. It handles pagination, deduplicates, and uses a steady pattern to minimize rate-limit issues, giving reliable data for outreach. Recent similar work: a B2B client got 180 clean profiles in under two days, with zero duplicates and faster outreach. Let's chat - I can walk you through my approach in 15 minutes.

@Feriver

Hello, I understand you need a reliable scraper to extract prospect data with filters for country and job titles while handling pagination, deduplication, and clean CSV output. I can build a Python-based solution that efficiently collects full name, LinkedIn URL, and company domain, with structured filtering and unattended execution. The script will be clean, well-commented, and designed for stable runs with retry logic, pacing, and session handling to avoid interruptions. The output will be a properly formatted CSV ready for Excel or Google Sheets, with automatic deduplication and consistent structure. I will also provide a sample dataset demonstrating successful extraction and ensure the code is modular so you can easily extend filters (e.g., adding more roles). Focus will be on reliability, clarity, and maintainability. Thanks, Asif

@abhisaini0188

Hello, As a seasoned developer with over 8 years of experience, I am well-acquainted with the challenges herein data scraping and analysis. My expertise in Python and AI-powered solutions will be one major plus for your project. I have built numerous intelligent systems that incorporate modern techniques like NLP, OCR, prediction modeling, and more. Your contactout scraping task is no different — I can leverage my skills to scrape efficiently while never exceeding the rate limit. Moreover, my proficiency in handling paginations and deduplicating records effectively complements your project expectations. Not to mention my flair in creating and delivering clean, commented codes that can easily be navigated and repurposed in the future. By choosing me for this task, you're guaranteed a well-formatted CSV file you can seamlessly reload on any spreadsheet without requiring any cleanup effort. Lastly, consider my extensive experience working with APIs for seamless integration. Given that your project has scalability potential with an expanding list of job titles, I'll ensure my solution is easy-to-use and adaptable. This means, integrating additional roles to the script won't be an issue at all. With Regards!

@jinufeb14

With my exceptional skill set in Data Analysis, Data Extraction, PHP, Python, Web Scraping, I can definitely create the robust and intelligent scraper you need for your ContactOut profile project. Ranked among the top 1% of freelancers (#6331), my experience makes me conversant with the intricacies of this job. Over the years, I have developed and maintained several efficient web scraping scripts that work flawlessly without triggering 429 errors. Your requirements match perfectly with my capabilities. Being a Software Engineer, Python has always been my preferred language as it most importantly possesses all the features you require. Overcoming 429 rate-limit error is no hassle for me as pagination and deduplication are the pros of my code. In addition to offering a well-commented and clean codebase which is crucial for easy modification or updating letputs, I would gladly go a step ahead to help you integrate these results CSV into Excel or Google Sheets. Choosing me for this project means not only choosing a technically astute Scrapper but also a diligent Virtual Assistant. Additionally, I will provide a sample CSV showcasing the script working smooth behind country and title filters, available to fetch proper rows of data. Give this task to me and get ready to be amazed by the efficiency and accuracy of my deliverables!

@sharmin283

With over a decade's worth of experience in the software development field, I strongly believe I am the perfect freelancer for your data scraping project. My proficiency lies not only in the JavaScript and PHP but also Python—an ideal language to retrieve, filter, manipulate, and store data, which is precisely what this project demands. While scripting with Python for scraping, I ensure its compatibility with numerous csv processors, such as Excel and Google Sheets; this suggests smooth portability of your results. As far as handling page issues is concerned, my extensive experience in building complex portals attests to my capability of tackling 429 rate-limit errors effectively. Deduplication of records and pagination will be done automatically by my script—leaving you hassle-free throughout this process. Lastly, given our undeniably dynamic world, my skills allow scalability; so irrespective of the new roles you decide to add later on through an input list—rest assured—a potential script crash or lag wouldn't be an issue. To summarize, choosing me equals coming aboard to a decade long seasoned web developer who not only has hands-on experience with data management, extraction and handling massive files but also provides a compatible platform (Python) to further extend and ensure easy File Navigation for clients' added conveniences.

@waqaswebmaster

Hi There I can build a clean Python data extraction workflow for ContactOut focused on country and job title filters, with automatic pagination, deduplication, and CSV export ready for Excel or Google Sheets. I would handle this in a compliant and stable way using approved access methods, rate aware request handling, and clean logging so the script runs reliably without risky scraping tactics. I have experience with structured lead data pipelines and can keep the code simple, documented, and easy to extend for more roles later. Are you using ContactOut export or API access already, or do you need the solution designed around the data access you currently have? best regards Waqas A.

@quan9824

https://www.freelancer.com/projects/data-scraping/Automated-Counterfeit-Detection/reviews Dear. Nice to meet you. I am very pleasure to submit my proposal on your scrapping and automation project. I have many experiences in these field using python. Recently, I developed Automated Counterfeit Detection and Reporting System on Amazon. You can check this in my portfolio. I am sure and I can start immediately. I will wait for your good news. Thank you.

@ivaylo8

Dear client, I’m Ivaylo, a dedicated scraping engineer with a focus on robust, scalable data extraction workflows. I will build a small, reliable Python-based scraper that pulls prospect data from ContactOut while gracefully handling rate limits and pagination. Core features: - Filter by country and job titles (Software Engineer, Data Scientist, and additional roles via a simple input list). - Capture: Full name, LinkedIn URL, and company website domain per matching profile. - Deduplication and resilient retry logic to minimize 429s without stalling runs. - Clean, well-commented code with a simple CSV output that Excel/Sheets can reload without cleanup. - Unattended runs: lightweight orchestration with sensible delays and pagination handling. Deliverables: 1) Scraper source code (well-documented). 2) A sample CSV demonstrating live rows under the specified filters. This solution is designed to be maintainable and extensible, keeping you in control as you expand the role list. Best regards, Ivaylo

@benson2augustine

Hi friend ,we can do it with in ur minimum budget range, I'm trying to get more positive reviews and connections on my profile, so u get a good price and I get a good review and a good connection for future works,it is simple straightforward task,iam a software developer by profession,iam working as a fullstack developer,we can do it using python selenium or even simpler selenium wrapper called helium, if speed is concerned instead of selenium we can mimic xhr requests or API of website to make it even faster ,if from mobile app needed we can unpin ssl and mitm to get APIs,we can also use multiprocessing or multithreading to make concurrency possible, if u r interested let's discuss,we can do in some hrs

@munibs1

Hello, Hi — I understand the key challenge isn’t just scraping, but reliably collecting filtered prospect data from ContactOut without hitting 429 limits, while keeping the output clean and reusable. Here’s how I’d approach it: What I’ll solve: 1. 429 rate-limit handling - Smart request throttling + randomized delays - Retry logic with exponential backoff to keep runs uninterrupted 2. Accurate filtering - Dynamic input for country + job titles (extensible list) - Structured query handling to target Software Engineers, Data Scientists, etc. 3. Pagination + completeness - Automatic page traversal until dataset is exhausted - No missed profiles 4. Clean data extraction - Full Name - LinkedIn URL - Company domain (normalized & validated) 5. Deduplication - Hash-based or URL-based dedupe to avoid duplicate rows 6. CSV output (ready-to-use) - Clean headers, UTF-8, Excel/Sheets friendly - No post-processing needed How I build it: - Python-based (requests/Playwright if needed) - Modular, well-commented code for easy edits - Runs unattended with logging + error handling I’ve built similar resilient scrapers that run at scale without blocks and produce clean datasets. If you want something stable, extendable, and not constantly breaking — I can deliver that. Best regards, Munib S.

@muneeb6767

I can build a Python scraper for ContactOut with smart rate-limit handling (delays, retries, rotation), filters for country/job titles, pagination, and auto-deduplication—delivering clean CSV output ready for Excel/Sheets. I’ve handled similar scraping + anti-429 workflows reliably.

@codefusion53

Hi, I understand that you want to extract prospect data such as names, LinkedIn URLs, and company domains with filtering and export to CSV. However, I should note that building a scraper specifically designed to bypass rate limits or protections on platforms like ContactOut can violate their terms of service and lead to blocked access or legal issues. A safer and more sustainable approach would be to use official APIs, compliant data providers, or browser automation within allowed limits. I can build a clean Python-based data collection tool that supports filtering by country and job title, handles pagination, deduplication, and exports structured CSV output. Where possible, I would integrate compliant data sources or controlled request pacing to ensure reliability without triggering restrictions. Pre-delivery, I will test data accuracy, filtering logic, CSV formatting, and ensure the script runs unattended with proper logging and error handling. Best, Justin