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Any website. Any volume. Quality-controlled data, fast.

Managed, cost-aware web scraping that works around anti-bot systems, layout changes, and scale constraints. You get clean, structured data — we handle everything else.

We respond in 12 hours on average

Trusted by 300 public and private organizations.

Accor
Bridgestone
Corsica Ferries
Veolia
MAIF
L'Oréal
Ville de Paris
La Poste
Nocibé

Every month we collect

12,000,000
e-commerce prices
2,500,000
restaurant & hotel reviews
1,800,000
job postings
900,000
real estate listings
800,000
public transport updates
250,000
event schedules
240,000
used vehicle ads
80,000
company profiles

What We Build

Problem solved

You need data from specific websites, structured and reliable, without managing scrapers yourself.

Advantages

Offload conception, hosting, and maintenance entirely to us.

In practice

You get the data you asked for, structured and quality-controlled, on your schedule. No programming, no infrastructure, no fighting anti-bot systems. When the source site changes, we adapt the scraper — you won’t notice.

Problem solved

You need to crawl large numbers of heterogeneous websites or documents where per-site development doesn’t scale.

Advantages

Scales to any number of sites at constant development cost.

In practice

Most scraping projects require scrapers tailored to each target site. Self-adapting scraping uses AI and other economical techniques to handle heterogeneous sources automatically — the way Google crawls the web. Right for large-volume, low-structure data collection.

Problem solved

Some data is only accessible through mobile apps, with no web interface or public API to target.

Advantages

Automates data access and interactions that are off-limits to web browsers.

In practice

We reverse-engineer mobile app APIs or instrument the apps directly to extract the data you need. No web equivalent required. Works for both read operations and automated submissions.

Problem solved

Aggressive anti-bot systems block server-side scrapers regardless of proxy quality or fingerprint tuning.

Advantages

Runs inside a real browser with real user trust. Gets through where server-side scrapers can’t.

In practice

A scraping agent built as a browser extension operates with all the legitimacy of a genuine user session. No proxy chains, no fingerprint spoofing — just real browser traffic that clears even the strictest bot-detection layers.

Problem solved

Tracking competitor prices, product listings, and messaging across dozens of sites is manual and slow to scale.

Advantages

Structured alerts the moment a competitor changes anything that matters.

In practice

We monitor competitor sites continuously — prices, stock levels, job postings, press releases. Changes trigger structured data events so your team responds in hours, not days.

Problem solved

A useful data source exists only as a website, with no API and no plans to build one.

Advantages

Instant, documented API access to any website’s data — no backend access required.

In practice

We wrap any website in a REST API your systems can call programmatically. Query our endpoint; we fetch, extract, and return structured data in real time. Your stack stays clean.

Problem solved

Data is trapped in a legacy web interface or portal with no export function and no API.

Advantages

Extract legacy data at scale without vendor cooperation or database access.

In practice

When source systems offer no export and no API, scraping is the migration path. We extract page by page, normalize the output, and load into your target platform — no vendor involvement needed.

How We Deliver

Data as a Service

Fully managed in-house — site changes and anti-scraping interruptions are transparent to you.

Self-Hosted Scraping

We build and manage your scrapers on your own infrastructure, for maximum control over the data chain.

File Shipping

Structured files delivered on a schedule you define — CSV, JSON, or whatever format fits your workflow.

Hosted Database & API

Data lands in our hosted database and is queryable via a documented API endpoint.

Batch Delivery to Your API

Collected data pushed in batches to an endpoint you control, on your schedule.

On-Demand API Scraping

Your systems trigger scraping jobs via API call and receive structured results in response.

On-Demand UI Scraping

A hosted interface lets your team trigger scraping runs and download results without writing code.

Custom Data Platform

We build a full platform around scraping-sourced data — for internal use or for your customers to interact with directly.

Augmented Browsing

A scraping agent runs inside your browser alongside your own navigation, combining automation with human-in-the-loop control.

Why Stratalis for Web Scraping

Advanced scraping infrastructure

We run a range of browser profiles from economical to fully undetectable, integrated with top-tier residential and datacenter IP providers. Our in-house orchestration software manages scheduling, retries, and monitoring across all active scrapers.

15 years in production

We have been building web scrapers since 2010 and pioneered JavaScript-injection-based scraping techniques that are now industry standard. That depth means we have seen — and solved — most failure modes before they hit your data.

Trusted by governments and enterprises

Our clients include local governments monitoring foreign short-term rental platforms, large corporates running competitive intelligence programs, and agile SMEs that need data without an in-house team to collect it.

Low overhead, fast delivery

No account team between you and the engineers. We scope fast, build fast, and ship fast. Most projects go from brief to live data in days, not weeks.

Full scope under one roof

Scraping is only the start. We cover the full data chain — scraping, databases, data pipelines, and scraping-adjacent software — so you work with one team, not four vendors.

"We have been working with Stratalis for several years, both on one-off assignments and long-term projects. Their technical expertise in web scraping is of the highest level. I recommend them without hesitation."
Sergio Monteiro
Sergio Monteiro
Founder and CEO at Squirrel at Work

Need reliable data from the web? Let’s talk.

Tell us what you need scraped. We’ll scope the project and get back to you within one business day.

Get a Quote

Who It's For

Scrape product listings, pricing, and availability from competitor storefronts. Monitor promotional campaigns and seasonal offers across retail channels. Extract customer review data to benchmark satisfaction trends.
Collect regulatory filings, financial statements, and compliance notices from institutional sources. Extract market data, fund performance metrics, and analyst ratings from financial platforms. Gather KYC-relevant entity data from public registries.
Extract vehicle listings, pricing, and specifications from dealer networks and marketplaces. Collect parts catalogues, recall notices, and technical bulletins from manufacturer portals. Gather fleet management data and auction results from industry platforms.
Scrape property listings, pricing history, and agent details from real estate portals. Extract planning applications, building permits, and zoning data from government registries. Collect construction tender notices and project specifications from procurement platforms.
Extract hotel rates, room availability, and package details from booking platforms. Scrape airline pricing, route schedules, and ancillary fee structures from travel aggregators. Collect guest review scores and sentiment data across hospitality review sites.
Scrape ad placements, campaign creatives, and media buy data from advertising platforms. Extract audience metrics, engagement rates, and content performance data from social media and publisher sites. Collect influencer profiles, sponsorship details, and brand mention volumes.
Extract clinical trial data, drug approval filings, and regulatory notices from health authority portals. Scrape pharmaceutical pricing, formulary listings, and reimbursement data from payer databases. Collect medical device specifications and safety reports from manufacturer sites.
Extract product specifications, pricing tiers, and feature matrices from SaaS and hardware vendor sites. Scrape developer documentation, API changelogs, and integration catalogues from technology platforms. Collect job postings and hiring signals to map competitor talent strategies.
Scrape supplier catalogues, raw material pricing, and lead-time data from industrial marketplaces. Extract shipping rates, port schedules, and customs tariff information from logistics platforms. Collect compliance certificates, safety data sheets, and product standards from regulatory databases.
Extract public tender notices, contract awards, and procurement documents from government portals. Scrape legislative texts, policy consultations, and regulatory proposals from parliamentary and agency sites. Collect grant listings, funding announcements, and eligibility criteria from public funding databases.
Extract case law, statutory texts, and regulatory filings from legal databases and court registries. Scrape firm profiles, practitioner credentials, and service offerings from professional directories. Collect patent filings, trademark registrations, and intellectual property records from IP offices.
Scrape competitor benchmarks, market reports, and trend data from industry portals. Extract structured datasets from public databases and directories for research analysis. Collect pricing and product data points to feed market sizing models.
Extract regulatory filings, rate tables, and compliance notices from institutional portals. Collect financial statements, fund performance data, and analyst ratings from reporting platforms. Gather counterparty information from public registries for due diligence.
Scrape competitor ad creatives, landing pages, and campaign messaging from rival channels. Extract prospect contact data and firmographics from directories and business databases. Collect market positioning signals from pricing pages and feature comparison sites.
Scrape job postings, salary ranges, and qualification requirements from job boards and career pages. Extract candidate profiles and professional data from public directories. Collect employer branding content and benefits data from competitor career sites.
Extract case law, court rulings, and legislative text from government and legal databases. Collect regulatory filings and enforcement actions from authority portals. Gather corporate registry data and beneficial ownership records for due diligence research.
Scrape supplier pricing, lead times, and product specifications from vendor portals. Extract certification data and compliance records from industry authority sites. Collect logistics carrier rates and service level data from shipping platforms.
Scrape competitor feature sets, pricing tiers, and product documentation from rival sites. Extract user reviews and feature requests from app stores and feedback platforms. Collect market sizing data and adoption metrics from industry reports.
Scrape vendor documentation, API references, and platform release notes for technical updates. Extract troubleshooting solutions from forums, knowledge bases, and community sites. Collect service status data and incident reports from provider dashboards.

Our Tech Stack

Web Scraping

Proprietary and open tooling for reliable extraction at any scale

Espion JS Injection WebExtension

Data Engineering

Clean, normalize, and route data into the systems that need it

Python SQL ClickHouse NiFi Superset

AI

LLM-powered extraction, classification, and content generation

Claude OpenAI Gemini Image Gen Image Processing

Use Cases

Scrape structured training datasets from web sources for model fine-tuning and evaluation. Extract knowledge base content from documentation sites for RAG ingestion. Collect labeled data samples from public repositories and research portals.
Extract structured records from directories, databases, and public web portals at scale. Scrape product catalogs, company profiles, and financial data from business platforms. Collect regulatory filings and public records from government data sources.
Scrape competitor product pages, pricing tiers, and feature comparison tables. Extract job postings and organizational data to map competitor growth strategies. Collect ad creatives, landing page copy, and positioning statements from rival channels.
Extract historical records from legacy web platforms lacking export or API capabilities. Scrape structured data from internal tools and portals scheduled for decommission. Collect reference data from external sources needed to enrich migrated records.
Scrape prospect contact data from business directories, LinkedIn profiles, and company websites. Extract firmographic details like revenue, headcount, and tech stack from public sources. Collect event attendee lists and speaker data from conference and trade show sites.
Scrape product prices, availability, and shipping costs from competitor storefronts and marketplaces. Extract promotional offers, bundle pricing, and discount structures from retail platforms. Collect MAP violation data and reseller pricing from distributor portals.
Scrape customer reviews, ratings, and testimonials from review platforms and app stores. Extract brand mentions and discussion threads from forums and community sites. Collect media coverage and press mentions from news outlets and industry publications.
Scrape data from web platforms that lack API endpoints to create structured feeds. Extract reference data from documentation sites for integration mapping and validation. Collect configuration and schema data from vendor portals for connector development.
Scrape data from SaaS dashboards and web apps that lack export or API capabilities. Extract reports, metrics, and account data from cloud platforms via browser automation. Collect configuration and settings data from admin portals for migration purposes.
Scrape form field options, reference data, and validation rules from target web portals. Extract workflow parameters and submission requirements from process documentation. Collect test data from staging environments for automation development and validation.

FAQ

Yes. We handle JavaScript-rendered SPAs, authenticated sessions, CAPTCHAs, and multi-step pagination. If a human can see it in a browser, we can extract it.

Many common use cases for web scraping are legal in most jurisdictions. Competitive monitoring, collection of legal evidence, and business process automation all rely on it routinely.

We are not legal professionals and cannot advise on your specific situation. If a request strikes us as manifestly illegal, we will decline. We recommend consulting a lawyer, and we’re happy to refer you to attorneys who understand the technicalities of web scraping.

Our monitoring often catches structural changes automatically, but not always. What we do guarantee is fast response: our engineering team is always ready to pick up maintenance tasks with very little notice. Layout changes are a normal part of running scrapers. We handle them fast and we handle them often.

Anti-scraping systems have become significantly more sophisticated, especially since 2023. We invest continuously in R&D and infrastructure to stay ahead of the most advanced defenses.

Our success metric goes beyond raw request success rates. We optimize for low cost per data point delivered, which means choosing the right technique for each target rather than brute-forcing through blocks.

Fixed quotes per project, based on number of sources, data volume, and delivery frequency. No hourly billing. You know the number before we start.

Ready to turn any website into structured data?

Get a fixed-price quote for your scraping project. No commitment, no hourly billing — just a clear number.

  • Free, no-obligation quote
  • Response within 24 hours
  • We never share your data

Next: tell us about your project (2 min). We'll reply with a proposal, and a quick call to clarify if needed.