You will get a Python web scraper for any website, delivering clean structured data

Diogo O.Status: Offline
Diogo O. Diogo O.
4.8

Let a pro handle the details

Buy Data Mining & Web Scraping services from Diogo, priced and ready to go.
Diogo O.Status: Offline
Diogo O. Diogo O.
4.8

Let a pro handle the details

Buy Data Mining & Web Scraping services from Diogo, priced and ready to go.

Project details

Need data from a website? I'll build you a reliable Python scraper that pulls exactly what you need and delivers it clean, structured, and ready to use.

I work with static sites, JavaScript-heavy pages, paginated listings, and login-protected or Cloudflare-protected targets. My stack: Playwright for JS rendering and anti-bot bypass, BeautifulSoup and Scrapy for static HTML, and pandas for cleaning and structuring the output.

What you get:
 • Clean, deduplicated data in CSV, JSON, or Excel
 • Well-documented Python script you can re-run anytime
 • Handles pagination, infinite scroll, and multi-page crawls
 • Fast turnaround (3 to 7 days depending on complexity)

I've completed scraping projects on Upwork with 5-star reviews, including a large-scale product data extraction and a structured document pipeline. I'm based in Lisbon and available for follow-up questions or retainer work.

Tell me the URL and the fields you need. I'll confirm scope within 24 hours.
Data Tool
Python
What's included
Service Tiers Starter
$150
Standard
$250
Advanced
$400
Delivery Time 3 days 5 days 7 days
Number of Pages Mined/Scraped
10001000050000
Number of Sources Mined/Scraped
113
Number of Revisions
111

Frequently asked questions

4.8
12 reviews
92% Complete
1% Complete
(0)
1% Complete
(0)
8% Complete
1% Complete
(0)

CB

Christoph B.
5.00
Jun 2, 2026
V2 of scrapping project Just like last time, Diogp did a great job!! He has creative ideas to solve problems. Highly recommend working with him

AM

Ashok M.
5.00
May 4, 2026
Build Clean Panel Dataset — NASDAQ-100 Firms (2009–2025) Diogio did a solid job working on the panel dataset. He handled the data structure well, ensured consistency across time and entities, and was careful with cleaning and transformations. His approach was methodical, and he was responsive to feedback, making necessary adjustments quickly. Overall, reliable and detail-oriented work.

TB

Tadas B.
5.00
Apr 27, 2026
Python Automation — Marketplace Data Pipeline Everything was done timely and what we agreed on, trustful freelancer +++++

TB

Tadas B.
5.00
Apr 8, 2026
CSV Product Translation & Bulk Upload to Marketplace (DeepL 400 Products) Excellent freelancer — very responsible, reliable, and efficient. Delivered high-quality work quickly and met all expectations as promised.

LW

L W.
2.00
Apr 3, 2026
Python Developer Needed: Ongoing Data Scraping Job Could not complete job. Kept asking for additional money to adhere to the obligations under the contract.
Diogo O.Status: Offline

About Diogo

Diogo O.Status: Offline
Python Automation & Data Expert | Web Scraping, Playwright, FastAPI |
83% Job Success
4.8  (12 reviews)
Lisbon, Portugal - 8:59 pm local time
Are you trying to collect data from websites that block scrapers, or build Python pipelines that handle complex workflows, uploads, translations, ET, without manual work?

I build production-grade Python systems: scrapers that bypass anti-bot defenses, automation pipelines that merge and transform data across sources, and scheduled workflows that run clean and deliver results on time.

5+ years of experience. Bachelor's in AI & ML Engineering. Based in Lisbon, Portugal (CET timezone).

━━━ WEB SCRAPING ━━━
→ JavaScript-heavy sites: Playwright & Selenium for full browser automation
→ Static sites and APIs: Requests, BeautifulSoup, Scrapy for speed at scale
→ Anti-bot targets: proxy rotation, fingerprint spoofing, CAPTCHA handling
→ API reverse engineering: extracting data from undocumented endpoints
→ OCR pipelines: image-to-structured-data extraction

━━━ AUTOMATION & DATA PIPELINES ━━━
→ Multi-source ETL: merge, normalize, validate across suppliers and formats
→ Marketplace integrations: WooCommerce, Mirakl, bulk product uploads at scale
→ Translation pipelines: DeepL API with local caching, multi-language delivery
→ PostgreSQL and SQLite with historical snapshots
→ Google Sheets API, CSV, JSON, Excel exports
→ Streamlit dashboards for monitoring and reporting

━━━ SCHEDULING & INFRASTRUCTURE ━━━
→ Scheduled pipelines (daily, weekly, monthly)
→ Docker-containerized deployments
→ Auto-alerts when sources change or scrapers break
→ Fully documented, maintainable code

━━━ AI & BACKEND ━━━
→ RAG pipelines: local LLM integration, semantic retrieval, FastAPI backends
→ Document Q&A: PDF/DOCX ingestion, chunking, citation-grounded answers
→ REST API development: FastAPI, PostgreSQL, structured data delivery

━━━ INDUSTRIES ━━━
E-commerce · Real Estate · Lead Generation · Market Research · Finance · Legal & Compliance

━━━ 3 SERVICE TIERS ━━━
1. One-time delivery: data extracted or task automated, clean output fast
2. Automated pipeline: scheduled runs, database backend, error handling
3. Fully managed service: I monitor, maintain, and update as targets change

Send me details about what you need built and I'll tell you exactly how I'd approach it - usually within a few hours.




━━━
python · playwright · scrapy · selenium · requests · beautifulsoup · lxml · web scraping · web crawling · data extraction · browser automation · anti-bot bypass · captcha handling · proxy rotation · ocr · tesseract · fastapi · postgresql · sqlite · docker · pandas · etl · api integration · json · csv · data pipeline · data mining · headless browser · web crawler · screen scraping · workflow automation · google sheets · woocommerce · marketplace · mirakl · deepl · translation · lead generation · e-commerce · real estate · market research · finance · linkedin · amazon · google maps · price monitoring · product data · cloudflare · akamai · incapsula

Steps for completing your project

After purchasing the project, send requirements so Diogo can start the project.

Delivery time starts when Diogo receives requirements from you.

Diogo works on your project following the steps below.

Revisions may occur after the delivery date.

Scope confirmation

I review the site structure, confirm exactly what data is extractable, and flag any access challenges — all within 24 hours of purchase.

Build, test, and deliver

I build and test the scraper, handle pagination and edge cases, then deliver the clean data file and a reusable Python script.

Review the work, release payment, and leave feedback to Diogo.