Headquartered in New York with a 200-engineer development hub, Actowiz builds fully bespoke extraction pipelines for US enterprises and global brands. We reverse-engineer any target source, design anti-detection layers, map custom field schemas, and automate delivery to your data warehouse. Trusted by 4,000+ businesses across North America, Europe, and the Middle East.
Share the website URL, app name, or data source. Tell us which fields you need — we handle the rest.
⏱ 15-min callOur team analyzes the target, designs extraction logic, builds anti-detection, and configures field mapping.
⏱ Within 2 hoursYou receive 500 rows free. Validate accuracy, completeness, and format before committing to anything.
⏱ 24-48 hoursData flows on your schedule — CSV, JSON, API, S3, Snowflake, or BigQuery. Monitored 24/7 by our ops team.
⏱ Daily / Weekly| Restaurant | Item | Price | Category | Rating | Delivery Fee | ETA | Zone | Promo |
|---|---|---|---|---|---|---|---|---|
| Chipotle | Chicken Burrito Bowl | $11.75 | Bowls | 4.7 ★ | $2.99 | 25 min | Manhattan, NY | 20% off |
| Sweetgreen | Harvest Bowl | $14.50 | Bowls | 4.5 ★ | $3.49 | 35 min | Brooklyn, NY | — |
| Shake Shack | ShackBurger | $8.39 | Burgers | 4.6 ★ | $1.99 | 20 min | Manhattan, NY | Free delivery |
| Address | Price | Beds | Baths | Sqft | Price/Sqft | Days Listed | Agent | Status |
|---|---|---|---|---|---|---|---|---|
| 142 Oak St, Austin TX | $485,000 | 3 | 2 | 1,850 | $262 | 12 | Sarah M. — Compass | Active |
| 78 Elm Ave, Denver CO | $612,000 | 4 | 3 | 2,340 | $262 | 5 | John K. — Redfin | Active |
| Title | Company | Salary | Location | Type | Posted | Source | Skills |
|---|---|---|---|---|---|---|---|
| Senior Data Engineer | Stripe | $185K–$220K | SF / Remote | Full-time | 2d ago | Python, Spark, AWS | |
| ML Engineer | Anthropic | $200K–$350K | SF | Full-time | 5d ago | Indeed | PyTorch, LLMs, RLHF |
| Listing | Host | City | Price/Night | Rating | Reviews | Type | Guests | Superhost |
|---|---|---|---|---|---|---|---|---|
| Modern Loft Near Central Park | Maria S. | New York | $189 | 4.92 ★ | 312 | Entire apt | 2 | ✓ |
| Beachfront Studio Waikiki | James K. | Honolulu | $245 | 4.88 ★ | 187 | Entire apt | 4 | ✓ |
| Product | Brand | Price | MRP | Disc % | Category | Weight | Stock | ETA | Zone |
|---|---|---|---|---|---|---|---|---|---|
| Amul Taaza Toned Milk | Amul | ₹27 | ₹30 | 10% | Dairy | 500ml | In Stock | 10 min | Koramangala, BLR |
| Lay's Classic Salted | Lay's | ₹20 | ₹20 | — | Snacks | 52g | In Stock | 12 min | Indiranagar, BLR |
Your target is Mercado Livre in Brazil, Tokopedia in Indonesia, or a vertical B2B portal that no standard scraper covers. We build from zero for any marketplace on earth.
The data lives exclusively in an iOS or Android app with no web equivalent — food delivery, ride-hailing, quick commerce. We reverse-engineer mobile APIs and extract structured data programmatically.
Data requires interacting with dropdowns, filters, pagination, AJAX-loaded content, or multi-page journeys. We automate the full interaction chain that a human would follow.
The target deploys Cloudflare, DataDome, PerimeterX, or Akamai. Our infrastructure rotates residential proxies across 195 countries, randomizes browser fingerprints, and solves CAPTCHAs automatically.
You need data fields that standard scrapers ignore — shipping zone rates, installment pricing, loyalty program tiers, store-level inventory, or product compatibility matrices.
Track the same product across five different websites with AI-powered matching. We build the complete pipeline — extract, match, normalize, deduplicate, and deliver unified records.
Sub-minute monitoring on a custom source — price drops, stock changes, new listings, content updates. We build always-on crawlers with webhook alerts to Slack, email, or your custom endpoint.
Structured data locked inside PDFs, product catalogs, price lists, invoices, or government filings. We parse, OCR, and structure document content into queryable datasets.
Data that changes based on user location — delivery zones, store-level pricing, regional availability, geo-targeted promotions. We crawl from 195+ country IP addresses to capture location-specific data.
Business registrations, tender notices, court filings, permit databases, FDA approvals — public records that are technically accessible but practically impossible to extract at scale without automation.
Custom-structured datasets for LLM fine-tuning, product classification, image recognition, or sentiment analysis. We build continuous extraction pipelines that feed fresh data into your model retraining workflow.
Extracting data from old web applications, legacy intranets, or outdated platforms that lack APIs. We build custom scrapers to pull historical data for migration into modern systems.
195 countries, city-level targeting
Unique fingerprint per session
reCAPTCHA, hCaptcha, Cloudflare
Smart rate-limiting per target
iOS + Android app extraction
Cookie + header randomization
JS challenge solving engine
99%+ extraction success rate
Our web scraping expertise is relied on by 4,000+ global enterprises including Zomato, Tata Consumer, Subway, and Expedia — helping them turn web data into growth.
Watch how businesses like yours are using Actowiz data to drive growth.
From Zomato to Expedia — see why global leaders trust us with their data.
Backed by automation, data volume, and enterprise-grade scale — we help businesses from startups to Fortune 500s extract competitive insights across the USA, UK, UAE, and beyond.
We partner with agencies, system integrators, and technology platforms to deliver end-to-end solutions across the retail and digital shelf ecosystem.
How to scrape Shopify store data for market research, competitive intelligence, and product analysis. Extract pricing, inventory, collections, and reviews at scale.
How a $50M+ consumer electronics brand used Actowiz MAP monitoring to detect 800+ violations in 30 days, achieving 92% resolution rate and improving retailer satisfaction by 40%.

Track UK Grocery Products Daily Using Automated Data Scraping across Morrisons, Asda, Tesco, Sainsbury’s, Iceland, Co-op, Waitrose, and Ocado for insights.
Whether you're a startup or a Fortune 500 — we have the right plan for your data needs.