Python Web App : Scraping and Lead Generation

@ZohaibRoy

⭐⭐⭐⭐⭐ Build Your Multi-Tenant Data Scraping & Lead Gen App with Python ❇️ Hi My Friend, I hope you're doing well. I reviewed your project requirements and see you are looking for a Senior Full-Stack Python Developer. Look no further; Zohaib is here to help you! My team has successfully completed 50+ similar projects for web scraping and lead generation applications. I will build a scalable solution with a user-friendly dashboard and efficient scraping engines, ensuring everything runs smoothly within your budget. ➡️ Why Me? I can easily handle your multi-tenant web application project as I have 5 years of experience in Python development, web scraping, and database management. My expertise includes working with Django, React, and various scraping tools. I also have a strong grip on anti-bot mechanisms, task scheduling, and database optimization, ensuring a comprehensive approach to your project. ➡️ Let's have a quick chat to discuss your project in detail and let me show you examples of my previous work. I'm looking forward to discussing this with you! ➡️ Skills & Experience:

@NayaPakistan

Hi, I understand you need a robust, multi-tenant Python web application for advanced web scraping and lead generation, incorporating a sophisticated technical architecture. My approach would involve setting up a modular backend using FastAPI and Scrapy for the scraping engines. I will configure Celery with Redis for asynchronous task processing, ensuring high-volume data extraction. For anti-bot measures, I'll integrate a rotating residential proxy pool with headless browser instances managed by Playwright. The PostgreSQL database will be optimized for efficient deduplication, and I will implement secure user authentication and RBAC for the multi-tenant dashboard. Integration with Google Sheets API will be handled securely via OAuth. This setup prioritizes scalability, maintainability, and reliable data acquisition with low disruption to your operations. I aim to deliver a functional application with robust scraping capabilities and a user-friendly dashboard, including automated contact discovery and formatting. Could you please clarify the expected complexity of the "niche and location-based business data extraction" for the second engine, specifically regarding the variety of source types? Regards, Muhammad Azeem

@Web1devloper

With 8+ years in Data Analytics & Science, including the construction of end-to-end data solutions, your Python Web App encompassing automated web scraping, contact discovery, and lead management is right up my alley. I've built complex web scrapers, data pipelines, and multi-tenant Django/React applications similar to your project which can be seen in my portfolio. My proficiency with Python (Django or FastAPI) as backend frameworks, Scrapy, Playwright, Selenium, BeautifulSoup for scraping & crawling makes me well-equipped for the job. But it's not just my technical skills that make me a great fit for your project. My ability to extract actionable insights from complex datasets would contribute enormously to the automated contact discovery & formatting engine you need. I've also dealt extensively with data visualization tools (Power BI, Tableau....), an appetency you stated as part of required tech stack. This implies that I am not only capable of handling the scraping processes but also proficient at transforming raw data into comprehensible information.

@onlinejob247

Hi there, I have already checked the project details. The job is clear, so please contact me, and then we can discuss. Thank you.

@corpmember29

Hello, I have carefully reviewed your multi-tenant scraping and lead-generation platform requirements and understand the need for two independent scraping engines, contact discovery, enrichment, background processing, user isolation, and automated data synchronization. successfully implement this project from start-to-finish. Let's come together and create a platform that not only propels your business but also stands out prominently within the marketplace. Awaiting for your positive response. Thanks >>>>>>>We have developed the exact similar application which you need and we can share that over chat or we can arrange a meeting to discuss further <<<<<<

@ShaikhAneesa

Hi there, I understand you need a multi-tenant scraping platform with two independent engines, around 200 records per source daily, automated contact discovery, Google Sheets OAuth sync, deduplication, and a React-based admin/user dashboard. I’m confident I can build this as a scalable Python architecture rather than treating the two scrapers as isolated scripts. My approach would use FastAPI or Django for the backend, PostgreSQL for tenant-isolated data and indexed deduplication, Celery + Redis for scheduled/background jobs, and Playwright/Scrapy/BeautifulSoup based on each source’s requirements. I’ll use a site-specific configuration layer for selectors, pagination, throttling and filters, with Playwright reserved for dynamic sources. For proxy/session management, I’ll design controlled rotating proxy pools and resilient browser sessions, while respecting target-site terms and avoiding unreliable CAPTCHA-bypass techniques. Contact discovery will use deep-crawl fallbacks, E.164 phone normalization, email validation and source tracking. You’ll receive the complete web application, both scraping engines, contact enrichment pipeline, PostgreSQL schema, Celery infrastructure, React dashboard, integrations, deployment documentation, tests and source code. Would you prefer FastAPI + React for a lean API-first MVP, or Django if you want more built-in administration and authentication from the start? I’m ready to start immediately. Warm Regards, Aneesa.

@shivansh121

Hi, I am interested to work on this Python Web Application job. I assure you that I am good fit developer for this job post .For more discussion. Looking forward to an early and positive response. Regards Shalu

@starttechno

This multi-tenant scraping and lead-generation platform is a strong fit for my Python full-stack experience. I have delivered complex Scrapy/Playwright data pipelines, Django dashboards with role-based access, and React applications with background automation, deduplication, exports, and third-party API integrations. I would build the backend with Django REST Framework and PostgreSQL, using user_id-scoped queries and indexed hashes for reliable tenant isolation and duplicate prevention. Celery, Redis, and Celery Beat will manage scheduled scraping, enrichment, retries, progress updates, and failure alerts. Scrapy will handle high-volume static sources, while Playwright will manage dynamic portals and JavaScript-rendered pages with per-site selectors, pagination, filtering, throttling, proxy rotation, and resilient session handling. The contact engine will crawl company pages as a fallback, normalize phones to E.164, clean and validate emails, and expose enrichment providers through a replaceable API layer. The React dashboard will include OTP authentication, RBAC, task logs, live progress, admin scheduling, XLSX exports, Google OAuth Sheets sync per user, webhooks, and source-level configuration. Muhammad Saad

@jinufeb14

I am JINU, a ranked #5794 freelancer in the top 1% who has significant experience in Python, React.js, Software Architecture, and Web Scraping - all skills that are crucial for your project. Over the years, I have built multiple complex web scrapers and data pipelines, and have also developed multi-tenant Django/React applications that required a deep understanding of scraping, networking, and database management. For your specific project needs, I have a clear technical approach. I propose using Scrapy, Playwright, Selenium, BeautifulSoup for scraping & crawling; Celery + Redis + Celery Beat for task queue & scheduler; PostgreSQL indexed for fast deduplication lookups amongst others. I'm well-versed in anti-bot countermeasures such as rotating residential proxy pools and CAPTCHA bypasses which would be vital for your project's success. As an efficient software engineer with a strong commitment to meeting tight deadlines without compromising on quality, I'm confident that I can deliver your project within the stipulated timeline while adhering to your budget. My aim is to provide you not just with the web application you desire but with a solution that fully serves its purpose. Let's get started on transforming your vision into reality!

@maxscender

I can help you build this. The core challenge isn't just writing scrapers; it’s managing scale, anti-bot evasion, and tenant isolation without the system collapsing under its own complexity. My approach prioritizes a robust, architecture-first build.

@mayankinnovative

Hello I reviewed your Python Web App for Scraping and Lead Generation project and it stood out because effective lead generation requires more than scraping data; the system needs reliable extraction, validation, deduplication, filtering, and an easy way to manage the resulting leads Problem Scraped lead data can become unreliable when websites have changing structures, pagination, duplicate records, inconsistent fields, or incomplete contact information Solution I can build a Python-based web application for permitted data sources with configurable scraping workflows, pagination handling, field extraction, data normalization, duplicate detection, validation, filtering, and CSV/Excel export I can use requests, BeautifulSoup, Selenium, or APIs depending on the source and access method, with rate limiting, retries, logging, and error handling I can also build a React-based dashboard for managing sources, extracted leads, filters, search, exports, and lead status Result You will receive a scalable lead-generation system that automates repetitive data collection and delivers cleaner, structured leads ready for your sales workflow while respecting source terms and access restrictions A few questions Which websites or APIs are the lead sources? Which fields need to be collected for each lead? Do you need email and phone validation or only extraction? Should leads be exported to CSV/Excel or automatically sent to a CRM? Thanks

@rajat07me

You’ve outlined the scope very clearly, and it reads like a serious build rather than a basic scraper. I can help with the Python app architecture, multi-tenant setup, background workers, scraping flow, and dashboard structure in a clean and scalable way. For this budget level, I’d suggest starting with the core foundation first and then expanding module by module. If you want, I can outline a practical phase-wise delivery plan here.

@raheel2k29

Hi, I can build this as a scalable multi-tenant Python platform with separate scraping engines, background processing, lead management, and a React-based dashboard. I understand this is more than a simple scraper—the important part is building a reliable architecture that can support multiple users, scheduled jobs, deduplication, enrichment, exports, and integrations without the system becoming difficult to maintain. I can provide relevant technical examples during the discussion and can adapt the final architecture once you provide the initial target sources, expected record volume, and required lead fields. A few points I’d confirm before development are the initial scraping sources, exact fields required from each source, Google Sheets sync behavior, and whether you already have authorized access to any restricted sources. I’m ready to start with the architecture and database design immediately. Best regards RAHEEL

@krupnovdenis

Hello! We can build a scalable web application for your scraping and lead generation workflow. 1. Which part should we prioritize first: the scraping engines, dashboard, or integrations? 2. Do you already have the target sources and data flow rules defined? — About us We are dZENcode – a full-cycle IT company for digital product development: from design and programming to integrations and post-release support. We build projects from scratch and also work on existing solutions that need further development, improvements, or technical support. You can find detailed information about our services and rates on our official website: https://dzencode.com. Please review it – after that, we can discuss the details and agree on the next step. ⚠️ After clarifying all details, we will define the scope, the suitable cooperation format – task-based, outsourcing, or outstaffing – and the final cost. Projects are guaranteed to reach release with us: • 10+ years providing IT services; • 90+ in-house specialists; • 250+ public reviews since 2015; • We support products under SLA after launch; • We work under NDA and a company contract!

@billybryan98

Hello there. I hope you are donig well. I have successfully developed multi-tenant web applications and complex web scrapers that automate data extraction and lead generation. My portfolio includes projects utilizing Django and React.js, showcasing my ability to create scalable solutions tailored to client needs. I understand the requirements for a robust web application that integrates data scraping and lead management. By utilizing the latest tools like Scrapy and Celery, I will ensure efficient data extraction and task management, while implementing effective anti-bot mechanisms. I will provide a high-quality, scalable application with a user-friendly interface, leveraging my expertise in Python, PostgreSQL, and modern front-end frameworks. My approach focuses on best practices in software architecture, ensuring seamless integration with Google Sheets and reliable data processing. Please feel free to reach out to me. I look forward to working with you. Best regards, Billy Bryan

@albertc1996

Hi, The difficult part of a platform like this is not building a scraper for one website. It is creating a reliable scraping system that can run multiple sources and users concurrently, recover from failures, avoid duplicate data, and turn raw results into structured, usable leads without making the application difficult to maintain. For this project, I would structure the backend around Django or FastAPI with PostgreSQL, while keeping scraping workloads completely separate from the web application through Celery, Redis, and scheduled workers. Each scraping source can have its own extraction and pagination logic, while shared components handle rate limiting, retries, normalization, deduplication, enrichment, and contact discovery. For browser-based sources, I would use Playwright where JavaScript rendering is required and keep lightweight requests/BeautifulSoup or Scrapy workflows for sources that don't need a browser. Proxy management and browser sessions should be handled at the worker level rather than inside the request/response cycle, which makes the system much easier to scale and monitor. The multi-tenant layer is equally important. I would enforce user-level data isolation throughout the database and application logic, with RBAC for administration, task scheduling, progress tracking, logs, and failure notifications. Google Sheets OAuth, Excel exports, webhooks, and hash-based deduplication can then be implemented as independent services around the core data pipeline. I've worked with Python-based automation, web scraping, background processing, APIs, and full-stack applications, including systems where reliability and structured data processing are more important than simply extracting a page successfully. Before defining the final milestones, I'd like to clarify two points: - Approximately how many scraping sources do you expect in the initial release? - Will proxy/CAPTCHA services be provided by you, or should they be included in the technical setup and project estimate? For an initial production-ready version covering the core scraping engines, multi-tenant dashboard, task infrastructure, data pipeline, and integrations, I would estimate 4–6 weeks, with development split into milestones so the core architecture and first scraping engine can be validated before expanding to additional sources. I can provide a fixed-price milestone plan after reviewing the initial source list and confirming the expected scraping volume.

@TechWagger2026

As a seasoned full-stack developer and a veteran in web scraping projects, I have accumulated over 14 years of experience delivering intricate, multi-tenant Django/React applications as part of more than 416 successful projects. Scraping, Crawling, and Data Pipelines are my expertise. I am well versed in using Scrapy, Selenium, and BeautifulSoup for scraping purposes. I also specialize in handling large-scale operations with the help of Celery, Redis, and Celery Beat. My technical proficiency in using Django or FastAPI combined with the ability to manipulate PostgreSQL databases will ensure efficient multi-tenant performance with indexed fast deduplication lookups. My frontend expertise lies in React.js/Next.js, which when combined with Tailwind CSS or Bootstrap can add a professional aesthetic touch to your project’s UI. You won't have to worry about any integration-related issues either as I have extensive experience with Google Sheets API and OAuth authorization based sync.

@RusianD

Hey sir, my name is Ruslan and I have the expertise you’re seeking for this project. With my experience in Python, Django, FastAPI, and React.js, I have built several complex web scrapers and multi-tenant applications that mirror your project specifications. For instance, I've worked on projects scraping specific data from high-volume job portals. Additionally, I'm well-versed in using scrapy, Playwright, Selenium, and BeautifulSoup for web scraping and crawling purposes. Well aware of the evolving challenges that come with it, I am skilled in implementing anti-bot countermeasures such as rotating residential proxy pools and CAPTCHA bypass. Moreover, I'm proficient with Celery and Redis for task queue management and scheduling— a key component of your project. As an added value, my expertise in databases like PostgreSQL enhances my handling of deduplication tasks. With my technical competence and efficient approach to managing server-side tasks and Excel exports to Google Sheets API for data synchronization. Thanks to my fluency in API integration and RESTful APIs in particular—I can complete the automated Webhooks requirement perfectly. Overall, hiring me would ensure a solid technical backbone and swift project execution to materialize your vision. Let's turn this project into a huge success!

@Jennycreation

Hello sir, i am full time freelancer and have 17+ years of experience in * Android app development work * python development for automation script, already create many scraping software like amazon product scraper,instagram automation, facebook automation * Software and Web development in asp.net c#, javascript,sql server . * Database : Microsoft SQL Server * Front End Technology : HTML 5, JQUERY, AJAX, Javscript, Bootstrap * Third party API integration Like Payment Gateway , SMS and Email API integration, and banking Financial API , Insurance API * Automation Bot Software Work. Work on many Automation bot software. please contact me on private chat, we can discuss more about project and show you demo as well Thanks