You will get Web Scraper/Crawler running on Server
Project details
You will get Complete Solution, I will be building web scrapper using Python Scrapy Framework, Selenium or BeautifulSoup and deploy that scrapper on Google Cloud VM Server and schedule the scraper for any frequency you need. The output data could be saved in CSV/EXCEL/JSON and exported to Google Sheets/MYSQL/SQLite/Google cloud bucket/AWS Bucket.
You don't need to worry about anything related to script maintenance, server deployment, storages etc.
You don't need to worry about anything related to script maintenance, server deployment, storages etc.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$300
|
Standard
$600
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 30 days |
Number of Pages Mined/Scraped | 500 | 10000 | 1000000 |
Number of Sources Mined/Scraped | 1 | 1 | 1 |
Number of Revisions | 3 | 6 | Unlimited |
Frequently asked questions
32 reviews
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TS
Tim S.
Sep 10, 2023
JB
Joe B.
May 12, 2025
Data Scraping and Collection System Evaluation
Gave a small contract to evaluate the efficiency of our system. Concluded with insightful concrete, actionable suggestions which can be immediately implemented.
AB
Antoine B.
Jun 7, 2024
Web Crawler/Scraper/Data Mining for YC Startup
TS
Tim S.
Sep 10, 2023
You will get Web Scraper/Crawler running on Server
SS
Sarabjit S.
Apr 20, 2023
Web scraping from e-commerce websites
JG
Jake G.
Mar 20, 2023
Data Scrape
Thorough and fast
About Assad
Web Scraping Engineer | High-Volume Data Collection with Python
100%
Job Success
Islamabad, Pakistan - 8:55 pm local time
Over the years, I’ve designed and maintained high-volume web crawlers, automated data pipelines, and custom scraping solutions that operate across thousands of pages, multiple websites, and complex anti-bot environments. My focus is not just “getting data once,” but building stable systems that keep working over time.
What I Do Best
- Web scraping using Python (Scrapy, Requests, Selenium, Playwright)
- Large-scale crawling & distributed scraping
- Handling anti-bot protections (Cloudflare, rate limits, captchas, session handling)
- Data cleaning, normalization, and structuring (JSON, CSV, databases)
- API integration & reverse-engineering private APIs
- Automation scripts & scheduled data pipelines
- Long-term scraper maintenance & monitoring
How I Work
I approach scraping as an engineering problem, not a quick hack:
Clean, maintainable code
Clear communication & realistic timelines
Focus on accuracy, performance, and reliability
Solutions designed to scale when your data needs grow
I’m comfortable working with millions of records, rotating proxies, headless browsers, queues, and background workers. Whether you need a one-time extraction or a production-ready scraping system, I can help.
Typical Use Cases I Handle
Market & competitor intelligence
E-commerce product & pricing data
Business directories & lead generation
Legal, financial, or public-records data
Custom datasets for analytics or AI/ML workflows
Why Clients Choose Me
Strong Python fundamentals and real-world scraping experience
Proven ability to handle complex, blocked, or large websites
Honest advice (I’ll tell you what’s feasible and what’s not)
Long-term mindset — I aim to be a reliable technical partner, not a disposable freelancer
If you’re looking for someone who understands both scraping and production-grade systems, feel free to reach out. I’m happy to review your requirements and suggest the best approach before we start.
Steps for completing your project
After purchasing the project, send requirements so Assad can start the project.
Delivery time starts when Assad receives requirements from you.
Assad works on your project following the steps below.
Revisions may occur after the delivery date.
First Step is Building Crawler
Using Python I Will Build Crawler Using - Scrapy Framework - Selenium Webdriver Framework - BeautifulSoup/LXML - Pandas - Numpy - gspread
Second Step is Exporting data to Desired Format
After scrapping data i will be exporting data to desired format or database For Example : xlsx/csv/json/xml - google sheets/MYSQL/SQLITE/MONGODB - GCP Bucket/AWS Bucket