Data Scraping

Any website, structured data

We build automated scrapers that extract, clean, and deliver data from any website at scale — product listings, prices, leads, or fully custom datasets. Built to handle JS rendering, proxies, and site changes.

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scraped_data.json · 5,432 records
url:https://shop.example.com/p/123
title:Wireless Headphones Pro
price:$89.99
rating:4.7 / 5 (2,318 reviews)
stock:In Stock · 142 units
Updated 2 min ago● Scraping

What we build

Data scraping services

Web Scraping & Data Extraction

Extract structured data from any website — static HTML or JavaScript-rendered SPAs. We handle pagination, login walls, and dynamic content loading.

  • Playwright & Puppeteer for JS-rendered pages
  • BeautifulSoup & Scrapy for static HTML
  • Pagination, infinite scroll & AJAX handling
  • Output in JSON, CSV, or direct DB insert
Price & Product Monitoring

Continuous price intelligence across competitor sites, marketplaces, and directories — scheduled, deduplicated, and delivered to your dashboard or BI tool.

  • Scheduled scraping (hourly / daily / real-time)
  • Delta detection — only changed records
  • Multi-source aggregation & deduplication
  • Webhook / API delivery or CSV export
Lead & Contact Extraction

Build targeted lead lists from LinkedIn, directories, business listings, and public sources — enriched with emails, phones, and company details.

  • LinkedIn, Crunchbase, Google Maps, Yelp
  • Email pattern detection & validation
  • Company size, industry & tech-stack enrichment
  • CRM-ready CSV or direct HubSpot / Airtable sync
Large-Scale Data Aggregation

High-volume scraping pipelines with proxy rotation, CAPTCHA solving, and rate-limit management — built to run reliably at 10k–100k records per day.

  • Residential & datacenter proxy rotation
  • Distributed scraping with Redis job queues
  • Retry logic, error handling & alerting
  • Docker + cloud deployment (AWS Lambda / EC2)

Tech stack

PythonPlaywrightPuppeteerBeautifulSoupScrapyRequestsPandasNode.jsCheerioMongoDBPostgreSQLRedisProxy RotationBright DataDockerAWS Lambda

How we work

Our process

01

Scope

Identify target sites, data fields, volume, and refresh cadence. We audit anti-bot protections upfront.

02

Build

Develop and test scrapers against real pages, including edge cases, pagination logic, and anti-detection measures.

03

Deliver

Data delivered in your preferred format: JSON, CSV, PostgreSQL table, or via API endpoint — clean and validated.

04

Monitor

Ongoing health monitoring with auto-alerts when site structure changes break a scraper. Fixes within 24 h.

Need data from the web?

Tell us the site, the fields, and the volume — we'll scope a scraper and have it running within days.

Book a free call