I build custom Python web scrapers and data parsers starting at €60. Pull data from any publicly accessible site on a schedule. Clean JSON, CSV, or direct database output. If you need data collected automatically, contact me with the site and what fields you need — I'll confirm if it's possible and what it costs.

Quick Answer

  • Starting price: €60 for a basic single-site scraper
  • Full pipeline with database: €100–200
  • Delivery: 2–5 days depending on site complexity
  • Output formats: JSON, CSV, Excel, PostgreSQL, MySQL, SQLite
  • Scheduling: Cron, task scheduler, or on-demand trigger
Scraped job listing data table with recruiter email, phone number, job description, industry, company, and location fields extracted automatically
A Python job scraper built for a recruiting agency: every row is one job listing, every column is a field that matters — contact info, role, industry, location, all extracted automatically.

What I Build

  • Product scrapers — extract names, prices, descriptions, images from e-commerce sites
  • Price monitoring scripts — track competitor prices, alert on changes
  • Data parsers — parse JSON APIs, XML feeds, HTML pages into structured data
  • Database inserters — scrape and push directly to PostgreSQL, MySQL, or SQLite
  • PDF and Excel extractors — pull structured data from documents
  • API integration scripts — connect two services, run on schedule or trigger
  • Scraper + LLM pipelines — scrape, process with AI, insert clean results

Table of Contents

Real Project: ASOS Price Tracker That Monitors 10,000 Products Daily

A client needed to monitor ASOS product pages for price drops across hundreds of items. Manual checking was impossible. The solution was a Python scraper that:

  1. Accepts product URLs from users via a Telegram bot interface
  2. Visits each product page on a scheduled interval using requests + BeautifulSoup
  3. Compares current price to the stored baseline price in a SQLite database
  4. Sends an instant Telegram notification when a price drops or a discount appears

The scraper handles pagination, retries on failure, and logs all price history. Users get notified the moment a price changes. No manual checking required. The video below shows how it works:

YouTube Video Thumbnail ▶ Play Video

How Web Scraping Works and When You Need It

Web scraping is the automated process of visiting a website and extracting specific data from its pages. Instead of copying data manually, a script does it in seconds and can repeat the process on any schedule.

You need a scraper when:

  • You monitor competitor prices: Manual checking takes hours. A scraper checks thousands of pages in minutes.
  • You need data from a site with no API: Most sites do not offer an API. A scraper is the only way to get the data programmatically.
  • You aggregate data from multiple sources: Pull listings, reviews, or statistics from 10 different sites into one database.
  • You need data on a schedule: Fresh data every hour, day, or week without any manual work.

Note on anti-bot protection: Sites with heavy JavaScript rendering require Playwright or Selenium. Sites with aggressive bot detection may need proxy rotation. I assess this before confirming price and timeline.

What You Get

  • Full Python source code: Clean, commented code you own completely
  • Scheduled execution: Cron job or task scheduler setup on your server
  • Error handling and retries: Script recovers from failed requests automatically
  • Output in your preferred format: JSON, CSV, Excel, or direct database insert
  • Logging: Run history, error log, and extracted record count per run
  • 7 days of post-delivery support: Bug fixes and small adjustments after delivery at no extra cost

How It Works

  1. Contact me — share the site URL, what data you need, and how often you need it updated.
  2. I assess feasibility — I check the site structure and confirm if scraping is possible and what tools are needed.
  3. Fixed price agreed — you get a clear quote before any work starts. No surprises.
  4. I build and test — scraper built, tested on the live site, output verified.
  5. Delivery — source code, deployment on your server, and 7 days of support included.

Web Scraper Development Pricing

Fixed price per project. Agreed before work starts. No hidden fees.

Web Scraping and Data Parsing Prices
Service What It Includes Price Delivery
Basic Scraper Single site, static HTML, CSV or JSON output from €60 1–2 days
Price Monitor Track prices on schedule, alert on changes, log history from €80 2–3 days
API Parser Parse JSON/XML API responses, filter, structure, output from €80 2–3 days
Scraper + Database Scrape and insert directly into PostgreSQL or MySQL from €120 3–5 days
JS-Heavy Site Scraper Playwright or Selenium for dynamic sites, full pipeline from €150 3–5 days
Scraper + LLM Pipeline Scrape, process with AI, insert clean results to DB from €200 5–7 days

Hourly rate: €15/hour for changes, additions, or new target sites after delivery.

Frequently Asked Questions

How much does a web scraper cost?
A basic single-site scraper starts at €60. A full scraper with scheduling, database insertion, and error handling costs €100–200 depending on site complexity and output requirements. The price is fixed and agreed before work starts.
Can you scrape any website?
Most publicly accessible websites can be scraped. Sites with heavy JavaScript rendering require Playwright or Selenium. Sites with aggressive anti-bot protection may need proxy rotation. I confirm feasibility before taking payment.
What format does scraped data come in?
JSON, CSV, Excel, or direct database insertion into PostgreSQL, MySQL, or SQLite. The format depends on how you plan to use the data. I deliver whichever format fits your workflow.
How do I get data from a website automatically?
A Python scraper runs on a schedule using cron or a task scheduler. It visits the target site, extracts the data you need, and saves it or inserts it into your database automatically. You get fresh data without any manual work.
Is web scraping legal?
Scraping publicly available data is generally legal in most countries. I only work on scraping publicly accessible data and do not help circumvent paywalls or scrape data behind authentication.