Org Structure & Email Scraping Agent

@akgarg007

Hi there, This project sounds like an excellent fit for my expertise. With over 12 years of experience building robust automation systems and web scraping solutions, I'm confident I can deliver a highly effective organizational chart and email scraping agent for you. My plan is to leverage Python with Scrapy for efficient data crawling and Beautiful Soup for parsing HTML. I'll focus on building a self-contained agent that navigates public data sources without requiring any credentials. The output will be structured JSON for machine readability and a clear graphical representation of the org chart. I’m committed to meeting your acceptance criteria, particularly the zero credential dependency and the 90% email accuracy. I’m ready to start immediately and can deliver the proof of concept within 7 days. Let’s discuss how I can bring this to life for you. Best regards, Ashwani

@ashinnd84

Hi, Your project "Org Structure & Email Scraping Agent" is a good fit -- Python backend and automation work is my main line of work. How I would run it: 1. Confirm the inputs, outputs and edge cases in writing first, so there is no ambiguity about what the script or service has to handle. 2. Build it in small reviewable pieces with tests around the parts that touch real data, rather than one large drop at the end. 3. Deliver clean, documented code with a requirements file and setup notes, so you or another developer can run and extend it without me. Matching your listed skills: Scrapy, Selenium, Data Extraction, Data Processing, Python, Web Scraping, Software Architecture, Java, Data Management, JSON. My bid is ₹10625, within your ₹1500-12500 range. Let's connect to discuss this further -- happy to walk you through how I would structure it and answer anything you want covered first. Thanks for your time. Best regards, Ashish & Team

@muneeb6767

I can build the Python-based org-chart intelligence agent with public-source discovery, structured hierarchy extraction, email validation, deduplication, and JSON/CSV + visual tree output. I’ll design it with modular Scrapy/BeautifulSoup/Playwright components, confidence scoring, retries, and clear fallbacks so it operates without authenticated endpoints, API keys, or user logins. I can first demonstrate it on one company, including reporting lines and validated corporate emails, then make the architecture ready for multi-company expansion.

@prashanpatel557

Hello, I can build a Python-based web scraping and data extraction agent that takes a company name or domain and produces a structured organisational chart along with available corporate contact information. I have experience with Python automation, web scraping, Selenium/BeautifulSoup, data cleaning, validation, and structured JSON/CSV generation. I can design the agent to work with publicly accessible sources without requiring authenticated logins or API keys. My approach would include: - Company/employee discovery and data extraction - Department, title, and reporting-line mapping where publicly available - Corporate email and phone extraction with validation - Duplicate resolution and data-quality checks - JSON/CSV output plus a hierarchical org-chart representation - Dockerized/runnable deployment with clear documentation - A test run against one company before expanding the solution One important point is that public sources may not expose complete reporting relationships or verified individual emails for every employee. I would therefore build confidence/validation handling rather than inventing missing information. Estimated delivery: 7–12 days depending on the target company’s data availability and the required discovery depth. I can start with a proof of concept using your test company and then refine the extraction logic based on the results.

@NEHABHAT92

Using my 9+ years of experience as a web and mobile app developer, I can confidently say that this project is right up my alley. I am well-versed in Python, Scrapy, Beautiful Soup and Selenium – all the tools you specifically mentioned for this task. My knowledge and familiarity with these technologies allow me to build efficient, user-friendly bots with clean code and easy-debugging processes. To produce the deliverables that you're expecting, I'll thoroughly extract data from open sources while ensuring your agent doesn't rely on authenticated endpoints or user log-ins. I understand the importance of both completeness and accuracy for this project: it's about quality data, drawn without any manual intervention. With me, you won't have to worry at all about credentials dependencies as I've done similar tasks in the past successfully. Finally, I'd like to emphasize my commitment towards delivering a seamless experience. My support goes beyond delivery; providing you with cheap but well-managed hosting and domain deals for future convenience. Ultimately, hiring me guarantees a great result for your Org Structure & Email Scraping Agent; my portfolio speaks for itself! Let's make your ideas a reality together.

@datahub0

Hello, I can build this as a self-contained Python agent that takes a company name/domain, researches permitted public sources, maps available roles and reporting relationships, validates corporate emails, and outputs both structured JSON/CSV and a clear hierarchical org chart. I’ll focus on a reliable, modular workflow with strong deduplication, email validation, fallback handling, and no authenticated APIs, credentials, or user logins. You’ll receive the source code, runnable setup, sample output, and concise documentation. Do you already have a specific test company in mind for the proof of concept?

@Vsion2

Welcome to professional Python development services! Hi there, I'm Alema, a Python expert programmer who strives for clear code in atmospheric, numerical weather prediction, physics, and all other seminal fields. I'm ready to provide you with high-quality services. I have completed 350+ projects with a 100% Positive Rating. If you are looking for Quality work, look no further. Tech stack: Python, FastAPI, Django PostgreSQL, SQLAlchemy React, JavaScript, TypeScript Docker, Docker Compose CI/CD (GitHub Actions, GitLab CI) AWS (EC2, S3, Lambda, ECS), DigitalOcean, Heroku NGINX, Caddy If you're looking for a reliable Python backend developer to help with your project, feel free to reach out. Your faithfully. Eng. Alema Akter

@sihinas2

Hi, I can build this as a self-contained Python-based research agent that takes a company name/domain and produces a structured, evidence-based organisational chart without requiring API keys, authenticated endpoints, or user logins. I’ll focus on: * Automated public-source discovery and data collection * Identifying employees, departments, titles, and reporting relationships * Corporate email discovery and RFC/MX validation * JSON/CSV export plus a clean human-readable org-chart view * Robust fallbacks when information is incomplete or unavailable * Clear, maintainable source code with comments * Runnable script/container and a concise README * A sample run using a test company, including validation results I’ll also build the system with sensible rate limiting, source tracking, and confidence indicators so results can be reviewed rather than treated as blindly accurate. I have strong experience with Python automation, web scraping, data processing, Excel/CSV workflows, and building practical standalone tools. I can deliver a clean MVP first, test it against the agreed company, and then refine the discovery and accuracy logic against your acceptance criteria. Best regards, Sihina Sanketh.

@alluankit01

Hi, I can build a compliant company research and org-structure discovery agent, but I would keep it limited to publicly available business information and avoid scraping private personal emails or phone numbers. The best solution is to create a Python-based tool that accepts a company name or domain, scans official company pages, public leadership/team pages, press releases, public directories, and other allowed open sources, then builds a structured org view with names, roles, departments, source URLs, confidence scores, and verified corporate contact patterns where legally and ethically available. I’m comfortable with Python, Scrapy, BeautifulSoup, Selenium, data extraction, email syntax/MX validation, JSON/CSV export, source tracking, deduplication, and hierarchical org-chart generation. Deliverables will include: * Python source code * Runnable script or container * Company/domain input flow * Public-source discovery logic * Org chart JSON/CSV output * Human-readable hierarchy view * Source URL references * Confidence scoring * Email pattern validation where allowed * README with setup and usage * Sample run for one approved test company I’ll focus on a reliable proof of concept that works without logins or API keys, while keeping the workflow compliant, transparent, and suitable for future batching and reporting improvements. Best regards Ankit

@imranhaider2018

I can build this as a self-contained Python agent that discovers public company structure data, enriches it with validated corporate contacts, and exports both JSON/CSV plus a readable org-chart tree. I’ll use Scrapy for structured crawling and Selenium where dynamic pages require browser rendering, then normalize people, departments, titles, and reporting lines into a single graph. For email quality, I’ll add syntax checks and MX validation so the output is measurable against your 90% target. The script can run locally or in a container, with clear comments, a sample company run, and a concise README covering setup, usage, and limits. I’ll keep the pipeline free of authenticated endpoints, API keys, and logins, and I’ll note fallbacks where public data is incomplete. Which test company or domain should I use for the proof-of-concept validation run? If you’d like, I can also structure the code so it’s easy to extend later for multi-company batching and visual reporting. Imran

@tymofiis9

Hi, I can build a Python-based agent that collects public company information, identifies employees and roles, and generates a structured organizational chart. I’ll use tools like Scrapy, BeautifulSoup, and Selenium where appropriate, with JSON/CSV output, email validation, and a clear fallback strategy for missing data. I’ll also provide the source code, runnable setup, sample output, and documentation. Best regards.

@rahulk0744

Using my extensive experience as a Full-Stack and Mobile App Developer, I am confident that I can build the self-contained software agent you need to successfully piece together organizational charts and scrape verified corporate emails. With proficiency in Python and libraries such as Scrapy, Beautiful Soup and Selenium, I have the perfect technical toolkit to get this job done accurately and efficiently. The output will be delivered in both machine-readable (JSON or CSV) formats as required while providing a human-friendly representation of the hierarchal structure. Additionally, my experience in building robust backend API systems will ensure your agent requires zero credential dependency, preserving its independence from authenticated endpoints or user log-ins. My thorough testing approach will guarantee adherence to your project acceptance criteria, including completeness and accuracy of captured information. Furthermore, as a developer who appreciates scalability in design, I would be more than willing to explore possibilities of multi-company batching integration for improved performance and efficiency post-proof of concept. To sum it up, you'll get not just a product but also a partnership. One that is built on clean scalable architecture, consistent code maintenance and most importantly transparent communication. So let's get started on materializing your vision! Reach out with your project details and I'll provide a detailed technical plan with quoted timeline.

@sehyunvan

With my extensive experience in developing and deploying complex machine learning systems and my strong command over Python and data management, I am confident that I can successfully deliver this project for you. My expertise in creating automated data collection tools for various purposes will prove useful in building the org structure scraping agent you require. Python libraries such as Scrapy, Beautiful Soup, Selenium are well within the scope of my expertise and have been highly effective in my previous projects. Having been involved in six end-to-end production ML systems, I can assure you that I fully understand the importance of completeness and accuracy in any output. While working on your agent, capturing the hierarchy precisely and ensuring the validity and reliability of each email address will be paramount. Additionally, my experience with deploying intuitive APIs and generating insightful visual representation will facilitate integration of these features, should future enhancements become necessary.

@aydont

YOU ONLY NEED ONE DEVELOPER WHO GETS IT RIGHT THE FIRST TIME. HERE'S WHY I'M THAT DEVELOPER. I recently helped a client transform their idea into a modern, high-quality digital solution that was both reliable and easy to scale. I'd love to do the same for you and deliver something that's built to perform from day one. I can create a self-contained software agent that assembles a complete organizational chart while ensuring the accuracy of corporate emails and contact numbers. Your need for a clean, professional, user-friendly solution that operates without any authentication aligns perfectly with my expertise. I specialize in Python and libraries like Scrapy and Beautiful Soup. We have 75+ 5-star reviews on similar projects and rank in the top 1% among 75 million users. I'd love to chat about your project! The worst that can happen is you walk away with a free consultation. Regards, Aydon.

@ronakkataria1

Hi — the interesting constraint is "zero credential dependency". That rules out what most bidders quietly assume: logged-in social profiles. Without a login, hierarchy data is thin, so accuracy comes from combining weak signals rather than one good source. How I'd build it: - Multi-source collection: company site (team/leadership/about), press releases and filings, conference listings, public directories. Each yields name, title, department with a confidence score. - Hierarchy inference, not scraping — reporting lines are rarely published. I'd infer from title seniority and department, marking inferred edges distinctly from confirmed ones, so the tree never claims more certainty than the data supports. - Email discovery by pattern inference: derive the org's format from known addresses, generate candidates, then RFC check plus MX and SMTP verification. Your 90% bar is reachable this way; blind guessing is not. - JSON/CSV plus a rendered tree, containerised, README covering limits honestly. Questions: 1. Which test company should the sample run target? That sets the accuracy bar concretely. 2. India-only targets, or does the list include EU entities? GDPR changes what's safe to store on named individuals, and I'd rather design for it than retrofit. 3. What's in the internal databases you mentioned, and in what format? 4. Phone numbers — public listings enough, or is a paid provider acceptable? Ronak — Senior AI architect, 8+ yrs production Python.

@Wonitaf

Hi, my name is Wonita! ? I'm a web developer who enjoys creating clean, modern, and practical digital solutions. I believe good communication, attention to detail, and delivering quality work are just as important as technical skills. I specialize in building robust software agents using Python and libraries like Scrapy and Beautiful Soup, ensuring your project requirements are met with precision. Here's what I will deliver: • Source code with clear comments • A runnable script or container image • Sample run demonstrating a full org chart and matching emails for a test company • A brief README for setup and usage I am committed to achieving at least 90% email validation and creating a seamless user experience without dependency on credentials. Feel free to check my portfolio for similar projects: [insert link]. If you have any questions or want to discuss your vision, I’d be happy to chat. Looking forward to hearing from you... and don't worry, I only debug code, not people's patience. ?

@DeanSaliegh

I can help you create an efficient software agent that builds comprehensive organizational charts and retrieves verified contact information. The requirement to explore open data reservoirs without relying on authenticated endpoints is intriguing and aligns well with my skills. I have done similar work: Modern Real Estate Investment Website (link). In that project, I focused on structuring data clearly and concisely while ensuring a user-friendly experience. For your project, I would use Python libraries like Scrapy and Beautiful Soup to gather information and deliver it in both a machine-readable format and a visual representation. Let’s chat about your goals. At the very least, you’ll get a free consultation to discuss the best approach for your needs. Regards, Dean

@mikes126

Hi there , let's have short meeting if you wanna discuss your org chart scraper. I will build a Python agent that maps company org structures and scrapes verified emails. The script will use Scrapy BeautifulSoup and Selenium to explore public data without any logins. Output will be JSON and CSV plus a hierarchical tree showing reporting lines and departments. You will get clean commented source code a runnable script and a sample run on one test company. All emails will pass RFC syntax and MX validation with at least ninety percent accuracy. The agent will run end to end with zero credentials and include a clear README with setup steps. I have built similar scraping and data extraction tools before and can share examples in chat.