Freelance Data Scrapers in PunjabFreelance Data Scrapers in Punjab
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Zohaib Khan's avatar
Zohaib Khan
Lahore, Pakistan
Verified B2B Leads & Data Enrichment for Outreach
5.0
Rating
15
Followers
Verified B2B Leads & Data Enrichment for Outreach
Cover image for B2B lead generation and list building using Lusha
B2B lead generation and list building using Lusha
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14
Cover image for B2B Lead generation and list building using Apollo
B2B Lead generation and list building using Apollo
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69
Cover image for LinkedIn Outreach Campaign Management
LinkedIn Outreach Campaign Management
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12
Cover image for Virual Assistant WordPress Elementor Data Entry Project
Virual Assistant WordPress Elementor Data Entry Project
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9
Data Scraper(2)
Ammar Tahir's avatar
Ammar Tahir
Sahiwal, Pakistan
UI/UX Designer crafting intuitive, modern digital experience
New to Contra
UI/UX Designer crafting intuitive, modern digital experience
Cover image for Football Live Scores App UI
Football Live Scores App UI
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2
Cover image for Football Live Scores Mobile App UI/UX Design
Football Live Scores Mobile App UI/UX Design
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1
Cover image for We design MVP apps that
We design MVP apps that help startups move fast, validate ideas, and launch with confidence. Our focus is on building only what matters—clear user flows, essential features, and a product experience that’s easy to understand and test.
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25
Cover image for Music creation experience designed to
Music creation experience designed to make producing music feel simple, fast, and distraction-free. The concept explores a smooth workflow for creating beats, generating music with AI, discovering sounds, and managing projects—all within a minimal and intuitive interface. The visual direction combines soft neutrals, bold orange accents, rounded cards, and spacious layouts to create a friendly yet premium music-production experience. Designed with a focus on simplicity, discoverability, and effortless music creation.
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28
Data Scraper(2)
Imran Shafiq's avatar
Imran Shafiq
Rawalpindi, Pakistan
Python Automation Developer |Scripts, Bots & Data Extraction
7
Followers
Python Automation Developer |Scripts, Bots & Data Extraction
Cover image for Python Web Automation Bot |
Python Web Automation Bot | Selenium Automation & Form Submission Key Features • Automated real-time website monitoring & form submission. • Human-like browser automation using Python & Selenium. • Intelligent page state detection & automatic error recovery. • Session persistence, configurable delays & proxy support. • Packaged as a Windows EXE for easy deployment. Business Value ✔ Eliminated repetitive manual monitoring. ✔ Improved workflow reliability & efficiency. ✔ Reduced downtime with automated recovery. ✔ Delivered scalable Python automation for enterprise workflows.
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29
Cover image for AI Workflow Automation for Property
AI Workflow Automation for Property Search & Database Management Key Features • AI-powered workflow automation with n8n. • Intelligent property search using Supabase. • Stateful conversation & preference tracking. • Automated routing between database & Weather API. • Dynamic filtering, caching & workflow optimization. Business Value ✔ Reduced manual property search efforts. ✔ Faster responses with intelligent caching. ✔ Automated data retrieval & decision making. ✔ Scalable workflow automation for real estate applications.
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51
Cover image for Python Job Scraper | Selenium
Python Job Scraper | Selenium Web Automation Key Features • Automated job scraping from Indeed Pakistan. • Extracted job titles, company names & job links. • Selenium automation with undetected ChromeDriver. • Structured data collection for further processing. • Reliable browser automation with dynamic page handling. Business Value ✔ Automated repetitive job data collection. ✔ Saved time with accurate data extraction. ✔ Reduced manual search efforts. ✔ Delivered scalable Python web scraping solutions.
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17
Cover image for Python Automation Platform for Regulatory
Python Automation Platform for Regulatory Monitoring & Data Extraction Key Features • Automated monitoring of regulatory websites and RSS feeds • Web scraping and structured data extraction using Python • Automated data processing and risk analysis • Multi-agent workflow for compliance automation • PDF and Excel report generation • API integration for intelligent document analysis Business Value ✔ Eliminates repetitive manual monitoring of regulatory updates ✔ Accelerates compliance review workflows ✔ Improves data accuracy through automated extraction ✔ Reduces time spent on compliance-related administrative tasks ✔ Generates structured reports automatically
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19
Data Scraper(5)
Owais Raza's avatar
Owais Raza
Faisalabad, Pakistan
Full Stack Developer | Agentic Systems | MVP & SaaS Platform
New to Contra
Full Stack Developer | Agentic Systems | MVP & SaaS Platform
Cover image for CTRBoss, Programmatic CTR Optimisation &
CTRBoss, Programmatic CTR Optimisation & Local SEO GeoGrid Rank Tracking SaaS Built an enterprise-grade CTR optimisation and local SEO rank tracking platform for digital marketing agencies combining stealth browser automation, geo-targeted proxy routing, smart traffic scheduling, and geographic GeoGrid rank visualisation into a single fully automated system. Running CTR campaigns at scale is one of the most technically demanding challenges in SEO. Every bot session has to appear indistinguishable from a real human user across browser fingerprint, user agent, proxy IP, search behaviour, and on-site activity. Off-the-shelf automation tools get detected and blocked immediately. Agencies needed a platform that could run hundreds of realistic sessions per day across multiple client campaigns, target specific geographies, and visualise local SEO performance all without manual intervention. CTRBoss is built on Django, Flask microservices, React, Next.js, and PostgreSQL. The core bot engine runs Undetected ChromeDriver with selenium-stealth, removes webdriver flags via Chrome DevTools Protocol, sets device-specific user agents, and routes every session through geo-targeted residential proxies from Geonode and Proxy Empire with country, state, and city-level granularity. For organic search campaigns, the bot types the keyword into Google, locates the client's website across organic results, Knowledge Panel, and paginated SERPs, clicks through, and spends session time on-site with multi-page browsing and gradual scrolling to mimic real human behaviour. Google Maps campaigns use a three-tier detection system covering the Knowledge Panel, the local 3-pack, and full Maps results with pagination. The Django smart scheduler runs every minute implementing time-of-day traffic ramping so sessions are light overnight and peak during business hours, enforcing per-keyword interval rules and daily search limits, pre-verifying proxies before each run, and auto-restarting the Flask bot server on consecutive errors. Up to 12 parallel keyword campaigns run simultaneously across multiple clients. The GeoGrid rank tracker queries DataForSEO's Google Maps SERP API across a coordinate grid producing a visual map showing exactly where a Google Business Profile ranks across its target area and where competitors dominate. Three payment gateways Stripe, PayPal, and Braintree with a credit-based billing system made the platform commercially ready at launch. Tech Stack: Django · Flask · React · Next.js · PostgreSQL · Celery · Redis · Selenium · Undetected ChromeDriver · Playwright · Geonode · Proxy Empire · DataForSEO · Stripe · PayPal · Braintree · ApexCharts
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121
Cover image for Keyword Finder, AI SEO Keyword
Keyword Finder, AI SEO Keyword Research & SERP Intelligence SaaS Built a distributed SEO research platform that expands a single seed keyword into thousands of opportunities combining Google Ads volume data, live SERP analysis, NLP competitor scoring, domain authority metrics, and AI content brief generation into one unified workflow with no CSV exports or tool-switching. SEO agencies were stitching together four or five separate tools a keyword research tool, a SERP analyser, a domain authority checker, an NLP scorer, and a rank tracker and manually reconciling their exports in spreadsheets. Scaling that workflow across multiple clients and thousands of keywords every month was unsustainable. Keyword Finder is built on Django 5, FastAPI, Flask microservices, React 18, and GPT-4o. The platform supports 4 keyword generation modes — Seed, URL, Competitor, and Bulk. In Seed mode it builds prefix, suffix, and alpha combination lists, fires them to Google Autocomplete in parallel with rotating proxies, then runs a second deep expansion round before fetching volume, CPC, and competition data from the Google Ads API via OAuth2. SERP analysis jobs are distributed across a dedicated Flask scraping microservice fleet with round-robin load balancing and a four-tier fallback chain direct, Bright Data, scraping.narf.ai (http://scraping.narf.ai), and CrawlBase — ensuring near-100% page retrieval success regardless of target site protection. Each competitor URL is processed through a full NLP pipeline using YAKE and NLTK, with domain authority pulled from Moz and Majestic via DomDetailer and cached locally to avoid redundant API calls. The Ranking Recipe lets agencies define custom Easy, Medium, Hard, and Easiest thresholds across 12 metrics turning keyword prioritisation from guesswork into a data-driven decision. AI content briefs are generated using GPT-4o and Cohere with full keyword context, cutting brief writing time from hours to minutes. Real-time job progress is delivered via Django Channels WebSockets, with Celery and Redis managing the async scraping queue. Supports 200+ Google country domains for multi-market research. Tech Stack: Django · FastAPI · Flask · React · GPT-4o · LangChain · Celery · Redis · PostgreSQL · Google Ads API · Bright Data · YAKE · NLTK · Moz · Majestic · Material UI · Redux
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Cover image for Just launched a powerful SaaS
Just launched a powerful SaaS project: One-Click SEO Audit Marketplace Built a complete platform that helps users analyze and improve their website SEO in seconds. From technical audits to keyword insights and performance tracking, everything is streamlined into a simple, user-friendly experience. The platform scans websites, identifies SEO issues, and provides clear, actionable recommendations to boost rankings and traffic Key highlights: • Instant SEO audits with detailed reports • Multi-site management dashboard • Credit-based service marketplace • Scalable SaaS architecture Designed for agencies, marketers, and business owners who want fast, data-driven SEO decisions without complexity. Check it out: https://oneclickseo.ai/
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Cover image for WriteWave, Enterprise AI Content Automation
WriteWave, Enterprise AI Content Automation SaaS for Agencies Built an end-to-end AI content automation platform for digital marketing agencies covering everything from SERP competitor research and NLP keyword extraction through AI article generation, image creation, schema injection, and auto-publishing to 10+ CMS platforms, all with zero manual steps between brief and live URL. Agencies managing content for multiple clients were stuck repeating the same manual workflow for every article SERP research, keyword extraction, writing, sourcing images, adding schema, scheduling, and publishing across dozens of clients. Scaling to hundreds of articles per month was operationally impossible without full automation. WriteWave is a multi-tenant agency SaaS built on Django 5, Celery, React 18, and GPT-4o. The platform offers 8 distinct article generation modes including a one-click engine that scrapes top SERP competitors, extracts NLP keywords via YAKE and NLTK, builds an optimised outline, generates full HTML content, creates AI images per section, injects internal links from sitemap crawls, adds DoFollow and NoFollow external links, embeds YouTube videos, and scores every article from 0 to 100 against NLP targets. A reading-level humanisation system adjusts vocabulary complexity from Grade 5 through college graduate. The standout feature is an Agentic AI Journalist powered by VAPI an AI phone agent that autonomously calls real human experts, conducts a structured interview, transcribes the conversation, and generates a complete publishable article from the transcript. Agencies get genuinely expert-sourced content at scale without journalist hours. Business Profile articles pull live Google reviews, Maps photos, and inject JSON-LD LocalBusiness schema automatically. All 10+ publishing integrations — WordPress, Shopify, LinkedIn, Wix, Squarespace, Medium, and more — adapt HTML per platform so no manual reformatting is ever needed. Real-time article generation progress is delivered via Django Channels WebSockets, with Celery and Redis handling async workloads at agency scale. Tech Stack: Django · React · GPT-4o · LangChain · Celery · Redis · PostgreSQL · VAPI · OpenAI · NLTK · Material UI · TipTap · Redux
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1
267
Data Scraper(2)
Noreen Aslam's avatar
Noreen Aslam
Bahawalpur, Pakistan
Lead Generation Expert | Real Estate Motivated Seller Lists
New to Contra
Lead Generation Expert | Real Estate Motivated Seller Lists
Cover image for Project: Ecommerce Stores Database Research
Project: Ecommerce Stores Database Research – United Kingdom (2nd Milestone) Successfully researched and compiled a comprehensive database of UK-based Ecommerce Stores across various niches (Apparel, Cosmetics, Health & Wellness, Personal Care, etc.). Collected detailed information including company name, domain, LinkedIn profiles, employee count, address, revenue, founding year, and key decision-maker contacts. Delivered clean, structured, and verified data in Google Sheets for easy analysis and outreach. Focused on accuracy and relevance for business development and lead generation. Tools Used: Google Sheets, Advanced Web Research, Data Verification
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Cover image for Project: Realtors Database Research –
Project: Realtors Database Research – Pennsylvania, USA Successfully researched and compiled a comprehensive database of active real estate agents and companies across Pennsylvania. Collected key details including company names, domains, LinkedIn profiles, addresses, contact numbers, and decision-maker information. Delivered clean, organized, and ready-to-use data in Google Sheets format. Focused on accuracy and relevance for outreach and lead generation campaigns. Tools Used: Google Sheets, Web Research, Data Verification
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52
Cover image for Project: Residency & Fellowships Data
Project: Residency & Fellowships Data Research (New York + New Mexico) Successfully compiled and organized detailed information on 3rd Batch Residency & Fellowship programs for New York and New Mexico. Cleaned and structured data including full names, specialties, graduation years, and contact emails. Sourced accurate information from reliable platforms. Delivered organized Google Sheet for easy use in outreach and networking. Tools Used: Google Sheets, Web Research, Data Cleaning
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Cover image for Project: Event Planners Database Research
Project: Event Planners Database Research – Washington, USA Successfully researched and compiled a comprehensive database of Event Planners and Wedding Planners in Washington State, USA. Collected key details including company name, domain, LinkedIn profiles, address, contact information, and decision-maker data. Delivered clean, structured, and verified data in Google Sheets for targeted outreach and business development. Focused on accuracy and relevance for the events industry. Tools Used: Google Sheets, Advanced Web Research, Data Verification
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49
Data Scraper(3)
Sannan Abbasi's avatar
Sannan Abbasi
Rawalpindi, Pakistan
SaaS| Browser Extension Developer| Save Time with automation
New to Contra
SaaS| Browser Extension Developer| Save Time with automation
Cover image for Developed an automated trading bot
Developed an automated trading bot for Pocket Broker that enables users to customize key trading parameters such as trade duration and investment amount. The system executes trades in real time based on user-defined inputs, reducing the need for constant manual interaction. The bot is built with a focus on automation, consistency, and user control. It continuously monitors trading activity and operates according to predefined logic, helping streamline the execution process and improve efficiency. This project highlights my ability to design and build intelligent automation systems, handle real-time workflows, and create user-focused solutions with customizable controls.
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Cover image for Description Pro Productivity is a Chrome
Description Pro Productivity is a Chrome extension designed to help users understand and improve their online habits. The extension automatically tracks the time spent on each website, providing detailed insights into daily browsing behavior. Users can create tasks, set focus timers, and receive reminders to stay productive throughout the day. The extension features real-time website activity tracking, task management, focus alarms, and productivity analytics in a clean and intuitive interface. By visualizing browsing patterns and tracking task progress, users can identify distractions, manage their time more effectively, and build better productivity habits. Key Features ✅ Website Time Tracking Automatically tracks time spent on every website. Displays real-time browsing activity. ✅ Task Management Create and manage productivity tasks. Monitor active and completed tasks. ✅ Focus Timers & Alarms Set custom focus sessions. Receive alerts when task timers expire. ✅ Activity Dashboard View browsing history and usage statistics. Analyze productivity trends over time. ✅ Clean User Interface Modern dark-themed design. Easy-to-use and distraction-free experience. Technologies Used React WXT Framework JavaScript Chrome Extension APIs Local Storage HTML5 CSS3 Problem Solved Many users underestimate how much time they spend online. Pro Productivity provides clear visibility into browsing habits while helping users stay focused on important tasks through time tracking and smart reminders. Results The extension enables users to: Track online activity accurately. Reduce distractions. Improve time management. Increase productivity through focused work sessions. Gain valuable insights into their daily digital behavior. Role: Full-Stack Chrome Extension Developer Project Type: Productivity & Time Management Tool Platform: Google Chrome Extension
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Cover image for PromptVault AI is a Chrome
PromptVault AI is a Chrome extension I built that helps users generate, save, organize, and reuse high-quality AI prompts in seconds. The extension uses a guided question workflow where users answer a few simple questions and the AI crafts perfect prompts tailored to their specific needs. Key features I developed: AI-powered prompt generation for content creation, code generation, data analysis, and problem solving Guided multi-step question workflow to capture user intent Prompt Library & Storage to save and organize prompts One-click copy to use prompts anywhere instantly Keyboard shortcut support (Ctrl/Cmd) for power users Clean sidebar UI that works on any webpage Secure, private, and fast — no data leaves the browser Tech stack: React, JavaScript, Chrome Extension APIs, AI API integration, HTML/CSS
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Cover image for PageMind AI is a Chrome
PageMind AI is a Chrome extension I built from scratch that brings AI-powered browsing capabilities directly into the browser. The extension allows users to interact with web page content using AI, summarize pages, ask questions, and get instant explanations without leaving the tab. Key features I developed: AI chat integration that understands and responds to page content Clean, responsive extension UI built with React and JavaScript Session tracking with counters for messages and interactions Sidebar panel that opens within any webpage seamlessly Secure and optimized for fast, lightweight performance Tech stack: React, JavaScript, Chrome Extension APIs, AI API integration, HTML/CSS
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Data Scraper(1)