Web Scraping — Clean Data at Any Scale

Web scraping publicly available data is generally legal in most jurisdictions, as affirmed by the hiQ Labs v. LinkedIn ruling in the US. However, legality depends on the specific site, data type, and intended use. We review robots.txt files, Terms of Service, and applicable regulations before starting any scraping project and advise you on compliance considerations.

We scrape product listings, pricing data, contact information, job postings, real estate listings, news articles, review platforms, financial data, sports statistics, and any other publicly accessible structured or semi-structured content. We do not scrape data behind authentication unless you own the accounts being accessed.

We use headless browsers (Playwright/Puppeteer), residential and rotating datacenter proxy networks, human-like request timing, and browser fingerprint randomization. For sites with CAPTCHA challenges, we integrate automated CAPTCHA solving services. We disclose when a target site's protections make reliable scraping impractical.

Frequency depends on the target site's capacity and your data freshness requirements. We can scrape anything from hourly competitive pricing updates to weekly large-scale data refreshes. We always set respectful rate limits and configure schedules that balance your data needs with responsible crawling.

We deliver data in whatever format your downstream systems consume: JSON, CSV, Parquet, or direct insertion into PostgreSQL, BigQuery, Snowflake, MongoDB, or your existing database. We also build Google Sheets and Airtable integrations for non-technical stakeholders who need easy access.

Website changes are the most common cause of scraper failure. Our monitoring setup detects when data quality drops or error rates spike, and alerts us immediately. Our maintenance retainer covers prompt updates to selectors and logic whenever target sites change — typically within 1 business day.

Yes. We use Playwright and Puppeteer to render JavaScript fully before extraction, which handles React, Vue, Angular, and other SPA frameworks. We also intercept network requests to capture API responses directly when that is more reliable than parsing rendered HTML.

We have run scrapers processing millions of pages per month using distributed architectures with multiple worker processes and proxy pools. Scale is a configuration problem, not a capability problem. We design the system for your volume requirements from the start.

Yes. Raw scraped data is almost never immediately usable. Our pipelines include normalization (consistent date formats, currency, units), deduplication using fingerprinting or record matching, and validation rules that flag anomalous records for review before they reach your downstream systems.

Yes, when you provide the credentials for accounts you own and have the right to access. We securely store credentials, manage session cookies, and handle re-authentication when sessions expire. We do not access accounts that belong to other users or that require terms violation to access.

Yes. We download and parse PDFs, Excel files, Word documents, and other structured attachments from websites. We use tools like pdfplumber, camelot, and Tika to extract tabular and text content from documents and integrate it into the same data pipeline as scraped HTML content.

Share the target URLs and describe what data you need. We will review the sites, assess technical complexity and compliance considerations, and provide a scoping estimate within 2 business days. Simple single-site scrapers can be live within one week of project kickoff.