Hire the Best Web Scrapers
Gujrat, Pakistan
๐ Iโm Jahanzaib, a Web Scraping & Data Extraction Specialist with experience building fast and reliable scrapers using Python, Scrapy, Selenium, and Playwright. I deliver clean, structured data for data mining, lead generation, and also build Django dashboards to visualize and analyze the data efficiently. โญ What I Deliver โ Clean, structured, and ready-to-use datasets from any website โ Automated web scraping and data extraction pipelines (daily/weekly) โ Accurate data mining and data scraping at scale with proxy rotation & anti-bot bypass โ Lead generation data including emails, contacts, listings, pricing, and market trends โ Reliable data entry and processing for large datasets โ Custom Django dashboards to visualize and manage scraped data โก Technical Strengths โก CAPTCHA solving & anti-bot mitigation (2Captcha, OCR, smart retries) โก Proxy rotation: residential, datacenter, and mobile for large-scale web scraping โก Login automation, session handling, and authenticated data extraction โก Rate-limiting, headless browsers, and fault-tolerant web crawlers โก CSV/Excel/API outputs and cloud automation for data scraping pipelines ๐น What I Can Scrape ๐น E-commerce platforms (products, prices, competitors) ๐น Real estate websites (properties, listings, trends) ๐น Automotive listings (leads, inventory, market research) ๐น B2B directories & lead generation websites ๐น Custom portals, dashboards, and structured data sources ๐ Letโs Work Together I provide professional web scraping, data extraction, data mining, web crawlers, lead generation, and automated data scraping pipelines. I can also build Django dashboards to display your data in a clean and actionable format. Share your requirements, and Iโll deliver accurate, timely, and structured data that helps your business grow.
- Web Scraping
- Data Scraping
- Data Extraction
- Lead Generation
- Data Entry
- Selenium
- Web Scraping Framework
- Data Mining
- Scrapy
- Selenium WebDriver
- Python Script
- Automation
- Communications
- Data Analysis
- ETL Pipeline
Nairobi, Kenya
Every job I have completed on Upwork is rated 5 stars, all of them, at 90 percent job success, with five builds in progress right now. Off platform I run 72 production scrapers on the Apify Store under george.the.developer: 80,000+ runs, 3,100+ users, 1,000 monthly active, over 99 percent run success. Every number is verifiable before you hire. I am a data extraction engineer who specializes in the sites that fight back: Cloudflare Bot Management, Turnstile, DataDome, PerimeterX. The ones where off the shelf tools die after a few hours and accounts get flagged at the TLS layer. I also fix pipelines other people built that quietly stopped working. Here is what most clients learn too late. When your scraper keeps getting blocked, it is almost never the login flow or the parser. It is the TLS fingerprint, the session rotation, or the challenge handling. When your automation pipeline silently drops data, it is usually the webhook retry logic, the dedup key, or the rate limit handling. Those failures are what I diagnose and fix every day. โโโ WHAT I BUILD โโโ โธ Production scrapers on Apify (Crawlee, Playwright, Puppeteer, Node.js) โธ Anti bot audits on existing scrapers that die after a few hours โธ Multi source pipelines pulling 3 to 6 APIs into Sheets, Airtable, Notion, Postgres (n8n, Apify cron, GitHub Actions, webhooks) โธ Daily ops dashboards with dedup, formatting, and Slack alerts on failure โธ AI agent backends on self hosted LLMs (Ollama, Gemma, local RAG over your own data, no per token bills) โธ VPS infrastructure for around the clock scraping (Docker, Redis, worker queues) โโโ STACK โโโ Languages: Node.js, Python Scraping: Crawlee, Playwright, Puppeteer, Apify Actor SDK Automation: Apify cron, n8n, GitHub Actions, webhooks, Standby APIs AI: Ollama, Gemma, local RAG, Claude and OpenAI when remote inference is needed Infra: Docker, Redis, Contabo and Hetzner VPS Proxies: Apify, Bright Data, Oxylabs, residential ISP pools โโโ PROOF โโโ โธ 72 public Apify actors under george.the.developer, 80,000+ runs, live and billing โธ 9 Upwork jobs delivered, every one 5 stars, 90 percent job success โธ 6 Standby APIs (Email Validator, Website Intelligence, AI Content Detector, WebSight, URL Metadata, Domain WHOIS) running serverless โธ PenBot, an AI platform delivering messages through a closed prison email system โธ Inmate Creations, an ecommerce platform for inmate created art, in production โโโ GOOD FITS โโโ โ Scrapers that keep getting flagged and need an anti bot audit โ Sites behind Cloudflare Bot Management, Turnstile, or DataDome โ Apify actors to build, migrate, or optimize โ Multi source data pipelines that run daily without babysitting โ Ops dashboards pulling Shopify, Klaviyo, Stripe, ad platforms into one sheet โ AI agent infrastructure on your own VPS โ Automations where the last dev vanished or the Zapier stack is duct tape โโโ NOT A FIT โโโ โ WordPress plugins, Shopify themes, general web design โ Undefined scope or "can you do anything" requests โ Work priced below $60/hr. I am not the cheapest. I am the one whose pipelines still run next month. Send me the site you need scraped, the pipeline that broke, or the data you want flowing into your sheet every morning. Fast reply on serious inquiries.
- Automated Workflow
- API Integration
- AI Chatbot
- AI Agent Development
- Automation Anywhere
- n8n
- Make.com
- AI Bot
- Task Automation
- Data Scraping
- Error Detection
- Predictive Analytics
- Marketing Automation
- Process Optimization
- Customer Service Chatbot
Anand, India
Python Web Scraping Expert | Scrapy, Playwright, Selenium, Data Extraction Hi, Iโm Akash Sakhiya, a Python Web Scraping & Data Automation Engineer with 3+ years of experience building reliable scraping and automation systems for real business use cases. I help businesses collect structured data from complex websites, automate repetitive workflows, and build scalable scraping pipelines that work consistently even on dynamic or protected platforms. Keywords & Technologies: - Python - Web Scraping - Data Extraction - Data Mining - Data Collection - Web Crawling - Data Harvesting - Data Gathering - Lead Generation - Contact List Building - Market Research - E-commerce Scraping - Event Data Scraping - Real Estate Data Scraping - Directory Scraping - Business Data Collection - LinkedIn Data Extraction - Google Maps Data Extraction - Custom Web Scrapers - Browser Automation - Web Automation - API Integration - REST API - Scrapy - Playwright - Selenium - Apify - Zyte API - Requests - BeautifulSoup - Dynamic Website Scraping - JavaScript Rendering - AJAX Scraping - Cloudflare Bypass - Anti-Bot Bypassing - CAPTCHA Solving - Rotating Proxies - Residential Proxies - Data Cleaning - Data Processing - CSV, Excel, JSON, XML, SQL, PostgreSQL, MySQL, ETL Pipelines - Data Transformation - Data Aggregation - Python Automation - Large-Scale Data Collection I can help you with: โ Web scraping from static and dynamic websites โ Login-based and JavaScript-heavy websites โ E-commerce, directory, and lead generation scraping โ API extraction and data collection โ Automated data pipelines and scheduled scraping โ Proxy handling, retries, session management, and anti-bot handling โ Clean structured outputs in CSV, Excel, JSON, SQL, or databases I focus on building scrapers that are stable, maintainable, and production-ready instead of quick scripts that fail after a few runs. I also have experience working on AI training and data-focused projects, which helps me understand data quality, structure, validation, and large-scale processing requirements. Why clients work with me: - Clear communication - Fast response time - Clean and organized code - Reliable long-term support - Attention to edge cases and data accuracy If you need accurate data extraction, automation, or a scalable scraping solution, feel free to message me with your requirements. Iโll explain the best approach before starting the project.
- Web Scraping
- Python
- Data Extraction
- Data Scraping
- Web Crawling
- Beautiful Soup
- Selenium WebDriver
- Scrapy
- pandas
- HTML
- CSS
- JavaScript
- API Integration
- SQL
- Matplotlib
- Selenium
- Data Collection
- Data Mining
- Lead Generation
- Automation
Surat, India
With 7+ years of experience, I'm Expert in Web Scraping, Data Engineer, AI/ML and Full-Stack Developer specializing in large-scale data extraction, automation, and pipeline engineering. I build robust, scalable systems that transform raw data into actionable insights. ๐ก Core Expertise Web Scraping & Automation: Expert in bypassing anti-bot systems (CAPTCHA, rate limits, IP rotation) using Scrapy, BeautifulSoup, Selenium, Playwright, and rotating proxies. Automation & Workflow Engineering: Airflow, Prefect, Dagster, n8n, Zapier, Make, Power Automate, UiPath, Step Functions, Logic Apps, GCP Workflows, Business Process Automation, RPA, CI/CD, Jenkins, GitHub Actions, GitLab CI/CD, Monitoring & Alerting. Data Engineering: Designing and building scalable ETL/ELT pipelines for structured, semi-structured, and unstructured data using Apache Airflow, Apache Spark (PySpark), Pandas, Dask, Databricks, Snowflake, Apache Kafka, Apache Hive, Apache Hadoop, Delta Lake, Apache Iceberg, dbt, AWS Glue, Azure Data Factory, Google Cloud Dataflow, Apache NiFi, Trino, Presto, and Apache Beam. Experienced in data warehousing, data lakes, lakehouse architectures, data modeling, data transformation, data quality, data governance, batch and real-time processing, streaming data pipelines, orchestration, workflow automation, schema design, partitioning, optimization, and performance tuning. Proficient with cloud platforms including AWS, Azure, and GCP, S3, Redshift, EMR, Athena, Lambda, Azure Synapse Analytics, Azure Data Lake Storage, BigQuery, Cloud Storage, and Pub/Sub. Skilled in SQL, Python, data integration, data migration, CDC, metadata management, monitoring, CI/CD, Docker, Kubernetes, and modern data stack technologies. Backend Development: High-performance APIs and microservices with FastAPI, Django, Flask, and Celery for async task handling. AI/ML Integration: Leveraging NLP and LLMs (LangChain, Llama, NLTK) for data enrichment, classification, and intelligent automation. Cloud & DevOps: Deploying scalable scrapers and data workflows on AWS (Lambda, ECS, S3), GCP, Docker, and Kubernetes. ๐ ๏ธ Tech Stack Data & Scraping: โธ Scrapy | Selenium | Playwright | Proxies (BrightData, ScraperAPI, etc) โธ Pandas | PySpark | Apache Airflow | PostgreSQL | MongoDB | Redis Backend & Cloud: โธ Python (FastAPI, Django, Flask) | Celery | RabbitMQ โธ AWS (Lambda, ECS, RDS, S3) | GCP | Docker | Kubernetes AI/ML: โธ NLP (NLTK, spaCy) | LLMs (LangChain, OpenAI, Llama) | Data Annotation Let's turn your data challenges into reliable, scalable solutions. Send me a message to discuss your project!
- Web Scraping
- Python
- Data Scraping
- Data Mining
- Scrapy
- Selenium
- Scripting
- Web Crawling
- Data Extraction
- JavaScript
- AWS Lambda
- Node.js
- Data Engineering
- Flask
- Django
Islamabad, Pakistan
๐ Most Web Scraping projects fail because anti-bot systems, hidden APIs, or complex JavaScript protect the data you need. I'm a Python Web Scraping engineer in the (๐ Top 0.3% on Upwork ย |ย ๐ฅ Top Rated Plus ย |ย ๐ฏ 100% Client Satisfaction) who specialises in extracting data from websites and apps that actively resist being scraped. ๐ฃ What I solve that others can't: โ Sites protected by Cloudflare, DataDome, PerimeterX, or Akamai โ JavaScript-heavy SPAs with dynamic rendering โ Mobile apps with certificate-pinned APIs (Android & iOS) โ Authenticated sessions, paginated data, and rate-limited endpoints โ Undocumented hidden APIs reverse-engineered for faster, stable extraction ๐ฅ What you get: โ Clean, structured data in CSV, JSON, PostgreSQL, Google Sheets, or direct API โ Fully automated pipelines deployed on AWS, VPS, or cloud with monitoring โ Production-grade scrapers that don't break after a week ๐ฌ Why clients come back: โ 95+ projects completed with zero failed deliveries โ If another freelancer says your site can't be scraped โ send it to me first โ I don't just deliver data, I deliver scrapers that keep working ๐ Tech Stack โคต โ๏ธ Python โ๏ธ Scrapy โ๏ธ Playwright โ๏ธ Selenium โ๏ธ NoDriver โ๏ธ BeautifulSoup โ๏ธ lxml โ๏ธ PostgreSQL โ๏ธ AWS/VPS Deployment โ๏ธ Linux โ๏ธ Windows VPS ๐ฅ Whom I Work With I work with startups, agencies, and enterprise teams building data products, competitive intelligence tools, or ongoing scraping infrastructure. ๐ฉ Send me your target site or app. I'll respond within a few hours with a feasibility assessment, approach, and timeline โ no obligation. Looking forward to helping you turn hard-to-get data into a competitive advantage.
- Web Scraping
- Data Extraction
- Data Scraping
- Data Collection
- Web Crawling
- Web Crawler
- Web Scraping Software
- Python
- Scrapy
- Selenium
- Beautiful Soup
- Data Mining
- Python Script
- Selenium WebDriver
- Python-Requests
- Database
- Scraper Site
- ETL
- Screen Scraping
- Browser Automation
Novi Sad, Serbia
โ Upwork Top 1% Talent โ 650+ Jobs โ 18.000+ Hours โ Native English โ 100% Job Success ๐ Created the most popular & well known scraping course(20k+ students) ๐ Ranked in the top 1% for scraping on Upwork ๐ Official reviewer for several leading web scraping books โ 10+ years of experience in scraping Full-time scraping consultant specializing in web scraping, crawling, and indexing web pages. Over the years, I've collaborated with more than 500 individuals, startups, and companies, helping them achieve their goals through effective data extraction and automation. My hourly rate ranges from $50-$70. The hourly rate depends upon the complexity and timeframe of the project and if it's a part-time or a full-time project. Hereโs what you will get by working with me: * Working only on projects that I can deliver 100% * Ridiculous quality of work * Smart suggestions on increasing results/revenue and decreasing costs * Responsibility for tasks/projects I work on * Reliability * Short response time * Excellent written and verbal English skills * Good sense of humor ;) keywords: python, scrapy, selenium, requests, beautifulsoup, lxml, web scraping, web crawling, automation, bots, scrapers, spiders, cloudflare, captcha, puppeteer, playwright, tutoring, real estate, e-commerce, lead gen, zillow, trulia, realtor, redfin, streeteasy, linkedin, airbnb, auction, tripadvisor, craigslist, sales navigator, ebay, amazon, google listings, pandas, discord, google maps, indeed, glassdoor, walmart, bestbuy, target, etsy, facebook, instagram, twitter, tiktok, builtwith, walmart, watch, captcha, incapsula, cloudflare, akamai, travel, yelp, yellowpages, booking, reviews, finance, crypto, reddit, hotel, motel, zyte, leads, cars, automotive, doctor, google search, API, rest API, pcpartpicker, truepeoplesearch, restaurants, insurance, g2, retailer, zapier, google sheets, fashion, behance, serp, excel, ec2, workspace, senior, expert, bot, spreadsheet, chatGPT, data mining,automobiles,overstock,wayfair,flipkart,rakuten,jd,aliexpress,newegg,homedepot,lowes,expedia,orbitz,hotwire,kayak,skyscanner,delta,americanairlines,doordash,apartments,rent,cars,autotrader,edmunds,tesla,ford,mercedesbenz,bmwusa,twitter,pinterest,quora,reddit,,crunchbase,angel,patreon,medium,soundcloud,crawler,shopify,product,membership,directory,clay,n8n,AI,supabase,apollo,airflow
- Web Scraping
- Scrapy
- Automation
- Python
- Selenium
- Data Scraping
- Web Crawling
- Scripts & Utilities
- XPath
- Puppeteer
- Web Crawler
- Web Scraping Software
- ETL
- Data Warehousing & ETL Software
- pandas
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Python web & data scraper hiring guide
Python web or data scrapers build custom solutions to collect, structure, and refresh web data for analytics, research, marketing, and automation. Their expertise supports industries leveraging public web data for strategic decisions, including retail, finance, real estate, and marketing.
What does a Python web scraper do?
A Python web scraper produces scripts and tools that extract data from web pages, e-commerce platforms, and dynamic online applications. Businesses rely on them to automate price monitoring, lead generation, market research, and structured data entry while ensuring scalability, accuracy, and compliance.
These professionals engineer tailored solutions using frameworks like Scrapy, Selenium, and Beautiful Soup. Their technical expertise extends to handling complex data structures, navigating JavaScript-rendered pages, implementing proxy rotation systems, and building robust error-handling mechanisms.
Python remains preferred for web scraping due to its extensive library ecosystem, readable syntax, and powerful data manipulation capabilities. Developers skilled in Python can rapidly prototype scrapers and scale them for enterprise-level data collection.
How to hire a Python web scraper on Upwork
Upwork connects businesses with top-rated web scraping professionals. Whether contracting solo freelancers or building a full DevOps team, the hiring process is designed for speed, transparency, and control.
Step 1: Post your project
Your job post serves as the foundation for attracting qualified Python web scraping specialists.
Specify project goals mentioning outcomes like a data mining system, real-time web crawling, or scheduled scraping
List tech requirements including frameworks such as Selenium and Scrapy
Clarify deliverables by outlining extracted data format, desired frequency, and integration needs such as API or SQL database connections
Review our web developer job post template for ideas on content and format. For a rapid start, try Job Post Generator, powered by Uma, Upwork's Mindful AIโข. Simply describe your needs in a few sentences and Uma will draft a job post for you to review and adjust.
Step 2: Review proposals
A systematic approach helps identify candidates whose technical capabilities align with your web scraping requirements.
Compare freelancers by reviewing Upwork profiles, technical skills, and years of experience
Scan portfolios for examples of Python-based web applications, data scraping projects, or automation systems
Prioritize candidates with Top Rated or Top Rated Plus badges, solid client reviews, and relevant certifications
You can use Upworkโs instant video interviews to screen applicants for a best-fit shortlist.
Step 3: Conduct interviews
The interview stage validates a candidate's hands-on experience with web scraping challenges.
Ask about scraping challenges including antibot defenses they've overcome using proxy rotation, headless browsers, or scraping APIs
Discuss tool selection to understand why they might choose Beautiful Soup vs. Scrapy, or Selenium vs. a custom parser
Cover project logistics including time zone compatibility, file delivery formats, and postlaunch support.
Tailor Upwork's web developer interview questions with additional queries tied to your scraping application.
Upwork Messages allows you to schedule and conduct live video interviews on the platform, with call transcripts and summaries available after the calls.
Step 4: Hire and collaborate
Before the person you choose can begin work, youโll want a firm contract in place as protection for both parties. Establishing a structured workflow sets the stage for successful project delivery
Set milestones by breaking deliverables into manageable chunks like prototype, data validation, and deployment phases
Communicate in-platform using Upwork Messages or Zoom integration for real-time discussions
Track progress by verifying deadlines, reviewing file submissions, and setting sprint goals from your dashboard
Upwork's transparent pricing and milestone-based payment system gives you control over budget allocation while protecting both parties throughout the engagement.
How much does hiring a Python web scraper cost?
The cost to hire a Python web scraper varies based on project scope, tech stack, and expertise level. On Upwork, Python scrapers generally charge $20-$40 per hour. Whether you need a simple one-time extraction or an ongoing enterprise solution, pricing typically reflects the complexity of target sites, data volume requirements, and the level of automation needed. Review these typical costs to help estimate your budget needs for Python web scraping support:
Basic single-site scraper
$300-$800 /project
- Single-site scraping script
- Data export to CSV or Excel
- Basic error handling
Multisite data extraction
$800-$2,500 /project
- Scraping for 3-5 domains
- Scheduled automation setup
- CAPTCHA handling configuration
E-commerce monitoring system
$2,500-$6,000 /project
- Price tracking across competitors
- Rotating proxy integration
- Automated alerts and reporting
Enterprise data pipeline
$6,000-$15,000 /project
- High-volume multisite scraper
- Real-time API integration
- Custom dashboard with monitoring
Custom AI-enhanced scraper
$15,000-$30,000+ /project
- Machine learning data categorization
- Advanced bot evasion techniques
- Full infrastructure deployment
Additional costs may include proxy services, cloud hosting infrastructure, and ongoing maintenance fees. Many businesses find value in starting with a smaller proof-of-concept project before scaling to enterprise solutions. This approach allows you to validate data quality, test integration workflows, and build confidence in your chosen specialist's capabilities.
Frequently asked questions
Is hiring a Python web scraper worth it?
Yes, hiring a Python web scraper is valuable, especially if your business relies on consistent, structured data from third-party sources. A skilled specialist can automate repetitive data entry, extract competitive e-commerce pricing, and support scalable lead generation. Many companies see immediate ROI through improved automation and faster decision-making.
What do I do after I hire a Python web scraper?
After youโve hired a web scraper, focus on onboarding your developer with clear documentation, access to target sites, and sample outputs. Align on communication frequency, time zone, and data handling best practices. Define ownership around maintenance, error handling, and adapting to site structure changes.
What types of businesses benefit most from hiring a Python web scraper?
Companies in e-commerce, market research, startups, and digital media benefit significantly from hiring Python web scraping. This data extraction is commonly used for competitor pricing, SEO audits, social media trend tracking, and job board aggregation. B2B companies often hire scraping experts to support lead generation or power machine learning models with training data.
How long does building a web scraping tool take?
Building simple web scraping scripts may take two to four days. Larger platforms with dozens of sites, dynamic content, and antibot measures can take several weeks. The timeline depends on frameworks, APIs, and parsing complexity involved.
What kind of ongoing maintenance or support is needed?
Because target websites often update layouts or block scraping attempts, ongoing maintenance is key to continuing web scraping success. This includes debugging, rotating proxies, handling CAPTCHA, and adjusting to JavaScript changes. Freelancers may offer services under monthly retainers or train your in-house team to manage scraping tools.
Is web scraping a form of AI?
Web scraping isnโt directly a form of AI. Web scraping is typically rule-based, using scripts to extract content. However, machine learning may be layered on top to interpret or categorize extracted data. For example, a scraper might collect e-commerce listings, then feed that data into an AI model to predict demand or flag pricing anomalies.
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