Hire the Best Data Scrapers
Surat, India
With 10+ years of experience, I'm a 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. Data Engineering: Designing efficient ETL/ELT pipelines with Apache Airflow, Pandas, PySpark, and Dask for both structured and unstructured data. 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) 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 โจ Why Work With Me? โ Reliable Data Delivery Clean, structured datasets with built-in monitoring and error handling. โ Anti-Scraping Solutions Stealth scraping, headless browsers, and proxy rotation. โ End-to-End Ownership From scraping to storage (DBs, S3) to API delivery. Let's turn your data challenges into reliable, scalable solutions. Send me a message to discuss your project!
- Data Scraping
- Python
- Data Mining
- Scrapy
- Selenium
- Scripting
- Web Crawling
- Data Extraction
- JavaScript
- AWS Lambda
- Node.js
- Web Scraping
- Data Engineering
- Flask
- Django
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.
- Data Scraping
- Web Scraping
- Data Extraction
- Lead Generation
- Data Entry
- Selenium
- Web Scraping Framework
- Data Mining
- Scrapy
- Selenium WebDriver
- Python Script
- Automation
- Communications
- Data Analysis
- ETL Pipeline
San Luis Potosi, Mexico
Public records. Court systems. Government platforms. Protected websites. I build automated data pipelines that transform difficult-to-access information into lead generation, monitoring systems, business intelligence, and decision-ready datasets. Most data extraction projects are not scraping problems. They are platform and data engineering problems. The real challenge is understanding the systems, APIs, anti-bot protections, public record platforms, and data flows underneath. Experience includes Tyler Odyssey, Socrata, Granicus, Laserfiche, ArcGIS, Akamai Bot Manager, DataDome, Cloudflare, reCaptcha, and dozens of government and enterprise platforms. What appears to be hundreds of independent websites is often a small number of underlying systems โ allowing one solution to scale across entire markets, counties, or industries. 20+ years in technology and 9+ years building data extraction systems, backed by a network security background. That combination is why protected platforms, hidden APIs, and anti-bot systems tend to be predictable engineering problems rather than obstacles. You describe the outcome you need. I design and build the extraction infrastructure. The result is data delivered where your team already works โ database, dashboard, CRM, spreadsheet, API, or scheduled report. Selected work: Government, court & public records โ 225+ counties monitored for court filings with ownership distress signals across NC and TX โ turning public records into actionable real estate leads โ 96K+ business entities extracted from state registries, classified by vertical with AI, enriched with contact data โ 5,000+ municipal meetings analyzed across 5 platforms (Granicus, CivicPlus, PrimeGov); architecture scales to any county without code changes Commercial data at scale โ 150K+ grocery products monitored every 2-5 hours across UK retailers, through Akamai Bot Manager โ 125K+ automotive parts synchronized daily from protected marketplaces โ 100K+ real estate listings deduplicated and enriched with tax records, powering automated valuation AI-augmented processing โ 50K+ companies classified via LLM with configurable framework โ 1,000+ medical clinic sources standardized for terminology โ Autonomous pipelines delivering decisions, not just data Stack: Python, JS/TS, AI integration, direct platform connections over browsers when possible. 28+ government platforms mapped and covered โ the adapter library grows with every engagement. Best fit for organizations that need reliable access to difficult data and prefer to delegate the problem instead of managing freelancers. Whether it's public records, commercial intelligence, valuation data, monitoring systems, or a difficult platform that others failed to extract from, the engineering layer is usually the same. What you get is resilient infrastructure, not a throwaway script. --- lead generation, lead generation pipeline, real estate leads, real estate data, property data, automated valuation, avm, mls data, skip tracing, court records, court records monitoring, public records, foreclosure data, distress signals, ownership data, business entities, competitor intelligence, price monitoring, data extraction, web scraping, data pipeline, automated data pipeline, anti-bot, cloudflare bypass, akamai bypass, datadome, perimeterx, hidden api, api integration, reverse engineering, python automation, browser automation, scheduled extraction, proxy rotation, captcha solving, ai data processing, llm integration, claude api, anthropic api, ai agents, data classification, data normalization, data cleaning, data enrichment, data validation, document extraction, ocr, etl, data orchestration, postgresql, supabase, structured data delivery, government data, municipal data, regulatory data, foia, granicus, tyler odyssey, socrata, playwright, scrapy, selenium.
- Python
- Web Scraping
- Data Mining
- Data Extraction
- Automation
- Selenium
- API Integration
- Data Processing
- ETL Pipeline
- Browser Automation
- Data Engineering
- Puppeteer
- Tyler Technologies Odyssey
- TypeScript
- PostgreSQL
- Data Cleaning
- Machine Learning
- Data Analysis
Kasur, Pakistan
Looking for ๐ช๐ฒ๐ฏ ๐ฆ๐ฐ๐ฟ๐ฎ๐ฝ๐ถ๐ป๐ด ๐ฆ๐ผ๐น๐๐๐ถ๐ผ๐ป๐? โ Need to convert Large websites into structured data? โ Want to extract data from ๐ฐ๐ผ๐บ๐ฝ๐น๐ฒ๐ , ๐๐ฎ๐๐ฎ๐ฆ๐ฐ๐ฟ๐ถ๐ฝ๐-๐ต๐ฒ๐ฎ๐๐ sites? โ Looking for data to ๐ฝ๐ผ๐๐ฒ๐ฟ your business analysis? โ Need real-time data for ๐ฐ๐ผ๐บ๐ฝ๐ฒ๐๐ถ๐๐ผ๐ฟ ๐ฎ๐ป๐ฎ๐น๐๐๐ถ๐ or ๐ฝ๐ฟ๐ถ๐ฐ๐ฒ ๐ฐ๐ผ๐บ๐ฝ๐ฎ๐ฟ๐ถ๐๐ผ๐ป? โ Want clean, ready-to-use datasets for your ML projects? I build scalable ๐ฃ๐๐๐ต๐ผ๐ป ๐๐ฎ๐๐ฎ ๐ฆ๐ฐ๐ฟ๐ฎ๐ฝ๐ถ๐ป๐ด ๐ฆ๐๐๐๐ฒ๐บ๐ that extract clean, accurate dataset using ๐ช๐ฒ๐ฏ ๐ฆ๐ฐ๐ฟ๐ฎ๐ฝ๐ถ๐ป๐ด, ๐๐ฎ๐๐ฎ ๐๐ ๐๐ฟ๐ฎ๐ฐ๐๐ถ๐ผ๐ป, ๐๐ฎ๐๐ฎ ๐ ๐ถ๐ป๐ถ๐ป๐ด, ๐๐ฃ๐๐, ๐ฆ๐ฐ๐ฟ๐ฎ๐ฝ๐, ๐ฆ๐ฒ๐น๐ฒ๐ป๐ถ๐๐บ, ๐ฃ๐๐๐ผ๐น๐น, ๐ฃ๐น๐ฎ๐๐๐ฟ๐ถ๐ด๐ต๐, ๐๐ฟ๐ผ๐๐๐ฒ๐ฟ ๐๐๐๐ผ๐บ๐ฎ๐๐ถ๐ผ๐ป, ๐ฃ๐ฟ๐ผ๐ ๐ ๐ฅ๐ผ๐๐ฎ๐๐ถ๐ผ๐ป, ๐๐๐ฃ๐ง๐๐๐ Bypass, and ๐ฅ๐ฒ๐ฎ๐น-๐ง๐ถ๐บ๐ฒ ๐ ๐ผ๐ป๐ถ๐๐ผ๐ฟ๐ถ๐ป๐ด even for complex, ๐น๐ผ๐ด๐ถ๐ป-๐ฏ๐ฎ๐๐ฒ๐ฑ and ๐๐ฎ๐๐ฎ๐ฆ๐ฐ๐ฟ๐ถ๐ฝ๐-๐ต๐ฒ๐ฎ๐๐ websites like ๐ฒ-๐ฐ๐ผ๐บ๐บ๐ฒ๐ฟ๐ฐ๐ฒ, ๐ฅ๐ฒ๐ฎ๐น ๐๐๐๐ฎ๐๐ฒ, ๐๐ฒ๐๐๐ถ๐ป๐ด ๐ข๐ฑ๐ฑ๐, ๐ฉ๐ฒ๐ต๐ถ๐ฐ๐น๐ฒ ๐บ๐ฎ๐ฟ๐ธ๐ฒ๐๐ฝ๐น๐ฎ๐ฐ๐ฒ๐, and ๐2๐ ๐น๐ฒ๐ฎ๐ฑ ๐ฑ๐ฎ๐๐ฎ, all integrated directly into MongoDB, PostgreSQL, MySQL, Redis, Supabase, Airtable, or any database you use. With 6+ ๐๐ฒ๐ฎ๐ฟ๐ of experience and 1000+ completed scraping, automation, and data processing projects, I deliver reliable pipelines that run 24/7 without breaking. ๐๐๐ฎ ๐๐ ๐๐ก๐ก๐จ: โ ๐ฃ๐๐๐ต๐ผ๐ป: Proficient in Python programming for web scraping, automation, web-apps, and desktop-based apps. โ ๐ฆ๐ฐ๐ฟ๐ฎ๐ฝ๐: Expert in using the Scrapy framework for efficient web scraping. โ ๐ฅ๐ฒ๐พ๐๐ฒ๐๐๐: Skilled in making HTTP requests to interact with websites for data extraction. โ ๐ฆ๐ฒ๐น๐ฒ๐ป๐ถ๐๐บ: Experienced in automating web browsers for complex scraping and automation tasks. โ ๐๐ฎ๐๐ฎ ๐๐ ๐๐ฟ๐ฎ๐ฐ๐๐ถ๐ผ๐ป: Proficient in extracting data from various web structures and formats using Scrapy, Scrapling, requests, and many more. โ ๐๐ฎ๐๐ฎ ๐ฆ๐๐ผ๐ฟ๐ฎ๐ด๐ฒ: Skilled in storing data in different formats and databases, including TXT, CSV, Excel, Google Sheets, Airtable, SQL(๐ฆ๐ค๐๐ถ๐๐ฒ, ๐ ๐๐ฆ๐ค๐, ๐ฃ๐ผ๐๐๐ด๐ฟ๐ฒ๐, ๐ฆ๐๐ฝ๐ฎ๐ฏ๐ฎ๐๐ฒ), NoSQL(๐ ๐ผ๐ป๐ด๐ผ๐๐, ๐ฅ๐ฒ๐ฑ๐ถ๐), and JSON. โ ๐๐ฎ๐๐ฎ ๐ ๐ถ๐ป๐ถ๐ป๐ด: Capable of analyzing and extracting insights from large datasets. โ ๐ช๐ฒ๐ฏ ๐ฆ๐ฐ๐ฟ๐ฎ๐ฝ๐ถ๐ป๐ด: Skilled in obtaining data from the internet efficiently. โ ๐ช๐ฒ๐ฏ ๐๐ฟ๐ฎ๐๐น๐ฒ๐ฟ๐: Proficient in developing bots to traverse websites and collect data. โ ๐๐ฒ๐ฎ๐ฑ ๐๐ฒ๐ป๐ฒ๐ฟ๐ฎ๐๐ถ๐ผ๐ป: Experienced in extracting leads from websites for marketing purposes. โ ๐๐๐๐ผ๐บ๐ฎ๐๐ถ๐ผ๐ป: Streamline processes and improve efficiency through Selenium/playwright/pydoll automation. โ ๐๐ฃ๐: Connect and extract data from various publicly and officially available APIs efficiently. โ ๐ช๐ต๐ ๐๐๐๐ถ๐ป๐ฒ๐๐๐ฒ๐ ๐ฃ๐ฟ๐ฒ๐ณ๐ฒ๐ฟ ๐ ๐ ๐ฆ๐๐๐๐ฒ๐บ๐ I donโt just โ๐ฏ๐๐ถ๐น๐ฑ ๐๐ฐ๐ฟ๐ฎ๐ฝ๐ฒ๐ฟ๐.โ I build data engines that save time, ๐ถ๐ป๐ฐ๐ฟ๐ฒ๐ฎ๐๐ฒ ๐ฟ๐ฒ๐๐ฒ๐ป๐๐ฒ, and automate what your team is doing manually. Whether you need real estate property feeds, Amazon price monitoring, lead extraction, sportsbook odds scraping, or large-scale datasets for analytics, you get clean, structured data optimized for business use. ๐ ๐ฅ๐ฒ๐ฎ๐น-๐ช๐ผ๐ฟ๐น๐ฑ ๐ฃ๐ผ๐ฟ๐๐ณ๐ผ๐น๐ถ๐ผ (๐๐ป๐ฑ๐๐๐๐ฟ๐-๐ฆ๐ฝ๐ฒ๐ฐ๐ถ๐ณ๐ถ๐ฐ ๐ฅ๐ฒ๐๐๐น๐๐) ๐ฏ๐๐ฎ๐๐ฒ ๐ฆ๐๐๐ฑ๐ 1: ๐ฅ๐ฒ๐ฎ๐น ๐๐๐๐ฎ๐๐ฒ ๐๐ฎ๐๐ฎ ๐ฃ๐ถ๐ฝ๐ฒ๐น๐ถ๐ป๐ฒ (๐ ๐๐ฆ, ๐ญ๐ถ๐น๐น๐ผ๐, ๐ฅ๐ฒ๐ฎ๐น๐๐ผ๐ฟ) Continuous data scraping from real estate websites of the USA, Romania, Hungary, and Spain. We extract all available data from each website and save it in a PostgreSQL database. ๐ฏ๐๐ฎ๐๐ฒ ๐ฆ๐๐๐ฑ๐ 2: ๐๐ฐ๐ผ๐บ๐บ๐ฒ๐ฟ๐ฐ๐ฒ ๐ฃ๐ฟ๐ถ๐ฐ๐ฒ ๐๐ป๐๐ฒ๐น๐น๐ถ๐ด๐ฒ๐ป๐ฐ๐ฒ (๐ก๐ญ๐๐ฎ๐ฟ๐บ๐ฆ๐ผ๐๐ฟ๐ฐ๐ฒ, ๐๐ฎ๐ฟ๐บ๐๐ฎ๐ป๐ฑ๐, ๐ฃ๐๐ ๐ช๐ฟ๐ถ๐ด๐ต๐๐๐ผ๐ป ๐ก๐ญ) Built a Scrapy + rotating proxies system tracking 11k+ SKUs โ helped client to set their margins and increase their sales. ๐ฏ๐๐ฎ๐๐ฒ ๐ฆ๐๐๐ฑ๐ 3: ๐๐ฒ๐ฎ๐ฑ ๐ฆ๐ฐ๐ฟ๐ฎ๐ฝ๐ถ๐ป๐ด & ๐๐ป๐ฟ๐ถ๐ฐ๐ต๐บ๐ฒ๐ป๐ (๐ฌ๐ฒ๐น๐ฝ, ๐ฌ๐ฒ๐น๐น๐ผ๐๐ฃ๐ฎ๐ด๐ฒ๐, ๐๐ผ๐ผ๐ด๐น๐ฒ๐ ๐ฎ๐ฝ๐) Automated lead extraction + email enrichment โ scaled outreach to 10,000+ verified leads ๐ฏ๐๐ฎ๐๐ฒ ๐ฆ๐๐๐ฑ๐ 4: ๐๐ฎ๐๐ฎ ๐๐ ๐๐ฟ๐ฎ๐ฐ๐๐ถ๐ผ๐ป ๐ณ๐ฟ๐ผ๐บ ๐๐ฒ๐๐๐ถ๐ป๐ด ๐ช๐ฒ๐ฏ๐๐ถ๐๐ฒ๐(๐จ๐ป๐ถ๐ฏ๐ฒ๐, ๐ง๐ถ๐ฝ๐ถ๐ฐ๐ผ, ๐๐ฟ๐ฎ๐ณ๐๐ธ๐ถ๐ป๐ด, ๐๐ผ๐๐ฎ๐ฑ๐ฎ) Extract data such as 1X2, over/under, and moneyline odds from 30+ sportsbook websites worldwide and save it in MongoDB for further analysis. In this, we integrate proxy-rotation middleware and an error notifier to detect errors as early as possible. โ ๐ช๐ต๐ฎ๐ ๐ ๐ฑ๐ฒ๐น๐ถ๐๐ฒ๐ฟ โ๏ธ High-volume Scrapy/Playwright Scrapers โ๏ธ JavaScript & anti-bot protected Scraping โ๏ธ Proxies + fingerprint spoofing โ๏ธ Real-time dashboards & APIs โ๏ธ Lead scraping + enrichment systems โ๏ธ Daily/weekly automated reports โ๏ธ Cloud deployment (Scrapyd, Docker) Send me the website you want scraped + the database you use, and Iโll analyze it for free and show you the fastest, most scalable way to turn it into an automated data pipeline.
- Data Scraping
- pandas
- Python
- Python-Requests
- Database
- Web Crawling
- Lead Generation
- Data Mining
- Data Extraction
- Scrapy
- Web Scraping Framework
- API Integration
- Beautiful Soup
- ETL Pipeline
- Web Scraping
- Automation
- Selenium WebDriver
- Browser Automation
- Screen Scraping
- Scraper Site
Tbilisi, Georgia
Struggling with websites that block your scraper? Need data collected automatically without doing it manually every day? Want your web scraping process to run faster and deliver cleaner results? I solve exactly these problems. Whether you need to extract thousands of records from complex sites, automate repetitive data collection, or build a system that monitors and alerts you when new data appears - I build it in Python and it runs on its own. What clients come to me for: โ Sites blocking scrapers or showing CAPTCHAs โ Data scattered across multiple sources that needs consolidating โ Manual data collection eating up hours every week โ Raw scraped data that's messy and needs cleaning โ Need a REST API to deliver scraped data automatically Tools I use: Python ยท Playwright ยท BeautifulSoup ยท REST API ยท PostgreSQL ยท pandas ยท Apify ยท Google Sheets API 8 jobs completed ยท 5-star rated ยท 50,000+ records delivered ยท CAPTCHA-protected sites handled Send me your project and I'll tell you exactly how I'd solve it. Got a complex challenge? I offer a free 15-minute call before you commit to anything. โ Aleko
- pandas
- Python
- Web Scraping
- Data Extraction
- Automation
- REST API
- PostgreSQL
- n8n
- Beautiful Soup
- Selenium
- FastAPI
- Google Sheets
- Telegram API
- ETL
- Data Cleaning
- Data Mining
- SQL
- Data Collection
- Scrapy
- Data Entry
Kyiv, Ukraine
Web scraping is a headache. I can help you forget about it. โ Top Rated Plus โ 100% Job Success โ 92% Client Return Rate โ 500M+ Pages/Day โ 13+ Years I specialize in data scraping and web scraping โ Python systems processing 500M+ pages daily for data extraction, web crawling, ETL pipelines, PDF parsing, lead generation, and AI data collection from government portals, e-commerce platforms, real estate databases, social media, and business directories. When off-the-shelf tools like Octoparse or ParseHub hit their limits โ and they will โ companies come to me. You need me if: ๐ด You have a large scraping project that's breaking, slow, or falling behind ๐ด Your existing scraper stopped working or needs to be maintained and updated ๐ด Your AI startup needs a large, clean dataset now ๐ด You want data your competitor has but you don't What I build: ๐ E-commerce & price intelligence Amazon, eBay, marketplace scrapers with competitor price monitoring, daily stock updates, and product data pipelines ๐๏ธ Government & public records permit portals, court records, legislative data, SEDAR, AHPRA, corporate registries, multi-state public data collection ๐ PDF & document extraction structured data from reports, invoices, and manuals; OCR of scanned files delivered to Excel or SQL; large-scale PDF pipelines ๐ค Lead generation Google Maps, business directories, and contact databases scraped to lists in Excel or your CRM ๐ Real estate data Zillow-style portal scraping, property listings and rental data with recurring scheduled updates ๐ฑ Social media Instagram, LinkedIn, Facebook, Reddit, TikTok data extraction for market research, brand monitoring, and competitor analysis ๐ค AI data collection & pipelines โ structured datasets for LLM training, RAG systems, AI agents, and ML workflows Sample projects: โข 500M+ pages processed daily โ e-commerce price monitoring across 250+ domains โข Government & public records โ 300+ portal scrapers across US, UK, Canada, and Australia โข PDF extraction โ structured data from 10,000+ documents delivered to Excel and SQL โข Real estate monitoring โ Zillow-style portal scraping with daily updates across 40,000+ listings โข Lead generation โ 50,000+ verified business contacts from Google Maps and directories โข AI training dataset โ 50M+ structured records for LLM fine-tuning pipelines Technical stack: Python, Scrapy, Selenium, Playwright, BeautifulSoup, Requests โ anti-bot bypass including Cloudflare (IUAM + Turnstile), Akamai Bot Manager, DataDome, PerimeterX, reCAPTCHA, hCaptcha, TLS/JA3 fingerprint alignment, authenticated scraping behind login, residential proxy rotation. Cloud deployment on AWS Lambda, EC2, DigitalOcean, or your preferred infrastructure. ETL pipelines delivering to PostgreSQL, MySQL, BigQuery, Excel, Google Sheets, CSV, or your API. I build, deploy, and maintain production scraping systems โ not just scripts. Source code and full documentation included. ๐ Clients served: ๐บ๐ธ ๐จ๐ฆ ๐ฌ๐ง ๐ฉ๐ช ๐ซ๐ท ๐จ๐ญ ๐ณ๐ฑ ๐ง๐ช ๐ธ๐ช ๐ฉ๐ฐ ๐ณ๐ด ๐ซ๐ฎ ๐ฆ๐น ๐ฎ๐ช ๐ฆ๐บ ๐ณ๐ฟ and more 92% of clients come back. Let's solve your data challenge and find out if you will too. Keywords: Python, Scrapy, Selenium, Playwright, BeautifulSoup, Requests, lxml, httpx, Pandas, AWS Lambda, EC2, DigitalOcean, PostgreSQL, BigQuery, MongoDB, MySQL, Redis, Docker, Celery, RabbitMQ, Apache Airflow, PySpark โ Amazon, eBay, LinkedIn, Google Maps, Zillow, Streeteasy, Instagram, Reddit, Facebook, TripAdvisor, Yelp, Airbnb, Booking, Craigslist, Indeed, Glassdoor, Walmart, Etsy, SEDAR, AHPRA, court portals, government databases, permit portals, legislative data, Companies House, BCAssessment, Illinois SOS, corporate registries โ PDF, OCR, invoice extraction, ETL, data pipeline, Excel, Google Sheets, CSV, JSON, SQL, database scraping, structured data extraction, data pipeline orchestration, spiders, web spiders, Scrapy spiders โ Cloudflare, Akamai, DataDome, PerimeterX, reCAPTCHA, hCaptcha, Incapsula, TLS fingerprinting, proxy rotation, anti-bot bypass, authenticated scraping, Apify, Scrapy Cloud, Zyte โ n8n, Make, Zapier, OpenAI API, Claude API, LLM, AI agent, RAG, vector database, AI workflow, AI data collection, AI data acquisition, product scraper, price scraper, lead scraper, real estate scraper, directory scraper, review scraper, social media scraper, instagram scraping, facebook scraper, linkedin scraper, twitter scraping, PropTech, FinTech, SaaS data pipeline, bot, scraping bot, web bot, Python bot, EAN codes, RSS feeds, event scraping, scraper maintenance, improve scrapers, nightly automation, scheduled scraping, VM deployment
- Data Scraping
- pandas
- Python
- Web Scraping
- Data Extraction
- Scrapy
- Selenium
- Data Mining
- Lead Generation
- Web Crawling
- Automation
- SQL
- ETL Pipeline
- Data Entry
- API Integration
- Data Engineering
- PDF Conversion
- Beautiful Soup
- Microsoft Excel
- Data Cleaning
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How to Hire Top Data Scrapers
How to hire data scrapers
Thereโs a lot of data publicly available on the web. If youโre looking to collect that data and organize it into a format where it can be accessed for analysis and use, a data scraper can help.
So how do you hire data scrapers? What follows are some tips for finding top data scrapers on Upwork.
How to shortlist data scraping professionals
As youโre browsing available data scraping consultants, it can be helpful to develop a shortlist of the contractors you may want to interview. You can screen profiles on criteria such as:
- Industry fit. While not required, it can be useful if a data scraper also understands your industry so they can help you figure out how best to obtain the data you need.
- Project experience. Screen candidate profiles for specific skills and experience (e.g., data scraping with Import.io and storing it for further analysis).
- Feedback. Check reviews from past clients for glowing testimonials or red flags that can tell you what itโs like to work with a particular data scraper.
How to write an effective data scraping job post
With a clear picture of your ideal data scraper in mind, itโs time to write that job post. Although you donโt need a full job description as you would when hiring an employee, aim to provide enough detail for a contractor to know if theyโre the right fit for the project.
An effective data scraping job post should include:
- Scope of work: From data scraping to data visualization, list all the deliverables youโll need.
- Project length: Your job post should indicate whether this is a smaller or larger project.
- Background: If you prefer experience with certain industries or technologies, mention this here.
- Budget: Set a budget and note your preference for hourly rates vs. fixed-price contracts.
Ready to collect aggregate data found publicly on the web? Log in and post your data scraping job on Upwork today.
DATA SCRAPERS FAQ
Frequently asked questions
What is data scraping?
Data scraping (also known as web scraping) is the practice of programmatically collecting and importing data from a website into a usable format, such as a spreadsheet. Data scrapers help businesses perform market research, gather business intelligence, and even pull data for use in web applications (e.g., travel price-comparison sites).
Hereโs a quick overview of the skills you should look for in data scraping consultants:
- Data scraping/web scraping
- Dynamic web queries with Excel
- Data scraping tools such as WebHarvy, Import.io, and Chromeโs Data Scraper plugin
- Data analytics
Why hire data scrapers?
The trick to finding top data scrapers is to identify your needs. Do you require only someone with experience performing dynamic web queries with Excel? Or will they also be expected to perform some analysis and data visualization? The cost of your project will depend largely on your scope of work and the specific skills needed to bring your project to life.
How much does it cost to hire a data scraper?
Rates can vary due to many factors, including expertise and experience, location, and market conditions.
- An experienced data scraper may command higher fees but also work faster, have more-specialized areas of expertise, and deliver higher-quality work.
- A contractor who is still in the process of building a client base may price their data scraping services more competitively.
Which one is right for you will depend on the specifics of your project.
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