Services Data Scraping & Web Parsing
Data Scraping

Data Scraping & Web Parsing

We extract competitor prices, leads, products, and content from thousands of pages. Structured delivery in Excel, JSON, or Google Sheets — ready for your stack.

1M+
Records/day
99.9%
Accuracy
Sources
scraper.py — bash
python scraper.py --url rozetka.ua --pages 50
Initializing scraper v2.4.1...
✓ Proxy pool: 24 active
✓ Connected to target
Fetching pages: 47/50
✓ Extracted 12,847 products
Deduplication: removed 143 duplicates
✓ Saved → data_2024.csv
Preview (5 of 12,847):
NamePriceAvailability
iPhone 15 Pro ₴52,999 ✓ in stock
MacBook Air M3 ₴78,499 ✓ in stock
Samsung S24 ₴38,999 ✓ in stock
AirPods Pro ₴9,499 ✗ out
iPad Pro 13" ₴45,999 ✓ in stock
Elapsed: 2m 14s
✦ Data scraping
Features

What we collect and how

Use cases

Where it's used

Price monitoring

Track competitor prices and adjust your offers automatically. Always know where the market stands.

Most popular

Lead collection

Parse company contacts and potential clients

News aggregation

Pull headlines from many sources into one database

E-commerce data

Products, categories, and stock from marketplaces

Geo data

Addresses, coordinates, and location details

Market research

Competitor and trend analysis

AI development

AI pulls data when there's no clean structure

Unstructured text, messy formats, dirty inputs—AI sorts it automatically: extracts the fields you need, validates output, and strips noise.

  • Extracting fields from unstructured text
  • Validating and cleaning scraped data
  • Normalizing mixed formats into one schema
any
format
Text, HTML, JSON, tables
99%
data cleanliness
Validation at every step
0
manual work
The whole pipeline is automated
// Data pipeline
01
Source
Website, API, or database
02
Collection
Scraper with proxies and anti-bot handling
03
Processing
Cleaning, deduplication, validation
04
Storage
CSV, JSON, Excel, or a database
05
Delivery
Automated export or API
Formats

Export formats

Data in whatever shape you need—from spreadsheets to direct integration with your stack.

CSV
Excel, Google Sheets
JSON
APIs, web apps
Excel
.xlsx files
Database
PostgreSQL, MySQL

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