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Trust & Company
Scalable web, app & AI-powered extraction. 99.9% accuracy.
All Services → Core Scraping Services
Top Global Platforms
Pricing & Promotions
Brand & Intelligence
Digital Shelf & Search
Assortment For RetailersWhich solution fits?
Talk to Expert Marketplace Scrapers
Data APIs Universal APIs Delivery & SDKsReady to integrate?
Start Free Trial Knowledge Center
Guides & Playbooks
Downloads & Tools
Trust & CompanyBuilt by a US-headquartered data intelligence company (Albany, NY) with a 200-engineer development hub, our AI training datasets give American ML teams what public repositories cannot — fresh, structured, annotated commerce data from 200+ live platforms, refreshed daily, cleaned through a five-stage validation pipeline, and delivered directly to your S3 bucket or Snowflake warehouse. No stale Kaggle snapshots. Production-grade data for production-grade models.
Tell us the model architecture, training objective, language requirements, and domain focus.
⏱ 15-min callOur data science team designs the schema, annotation strategy, and quality benchmarks.
⏱ Within 2 hoursYou receive a representative sample for evaluation before committing to any engagement.
⏱ 24-48 hoursProduction dataset delivered on schedule — with ongoing refresh for model retraining cycles.
⏱ Daily / Weekly| Product | Question | Answer | Category | Language | Source | Tokens |
|---|---|---|---|---|---|---|
| Sony WH-1000XM5 | Does this work with Android? | Yes, compatible with any Bluetooth device including Android phones, iPhones, laptops, and tablets. | Electronics | en-US | Amazon US | 42 |
| Dyson V15 Detect | How long does the battery last? | Up to 60 minutes in Eco mode, approximately 25 minutes in Boost mode on a full charge. | Home | en-US | Best Buy | 38 |
| Allbirds Wool Runner | Can I wash these in a machine? | Yes, remove insoles, place in a delicate bag, cold water, gentle cycle, air dry only. | Footwear | en-US | Shopify | 35 |
| Product ID | Date | Price | Competitor Avg | Promo | Stock Level | Day of Week | Season | Review Velocity |
|---|---|---|---|---|---|---|---|---|
| B0CX23V2ZK | 2026-04-01 | $279.99 | $289.50 | Spring Sale | High | Tuesday | Q2 | +12/day |
| B0CX23V2ZK | 2026-04-02 | $279.99 | $285.00 | — | High | Wednesday | Q2 | +8/day |
| B0CX23V2ZK | 2026-04-03 | $269.99 | $285.00 | Flash Deal | Medium | Thursday | Q2 | +31/day |
| Product | Review Text (excerpt) | Overall | Aspects | Features | Emotion | Lang |
|---|---|---|---|---|---|---|
| AirPods Pro 2 | "Noise cancelling is incredible but the case scratches easily" | Mixed (0.62) | ANC: +, Build: − | noise_cancel, case | Satisfied | en |
| Instant Pot Duo | "Changed how I cook. Meals ready in 30 minutes every night" | Positive (0.94) | Speed: +, Ease: + | cook_time, daily_use | Delighted | en |
| Dyson Airwrap | "Precio muy alto para lo que ofrece, no vale la pena" | Negative (0.21) | Value: − | price, worth | Disappointed | es |
| Title | L1 Category | L2 Category | L3 Category | Brand | Attributes | Source |
|---|---|---|---|---|---|---|
| Nike Air Max 270 React | Clothing & Shoes | Men's Shoes | Running Shoes | Nike | color:black, size:10, sole:react_foam | Amazon |
| Anker 65W USB-C Charger | Electronics | Accessories | Chargers | Anker | watts:65, ports:2, type:gan, foldable:yes | Amazon |
| Olaplex No.3 Hair Perfector | Beauty | Hair Care | Treatments | Olaplex | size:3.3oz, sulfate_free:yes, vegan:yes | Shopify |
| Product | Image URL | Resolution | Background | Type | Has Logo | Objects | Similarity Cluster |
|---|---|---|---|---|---|---|---|
| Sony WH-1000XM5 | cdn.../xm5-main.jpg | 2000x2000 | Studio White | Hero | Yes | headphones, ear_cups | CL-4821 |
| Sony WH-1000XM5 | cdn.../xm5-lifestyle.jpg | 1500x1000 | Lifestyle | Context | No | person, headphones, desk | CL-4821 |
| Bose QC Ultra | cdn.../bose-qc-main.jpg | 2000x2000 | Studio White | Hero | Yes | headphones, ear_cups | CL-4821 |
Training GPT-based product advisors, conversational search engines, and AI shopping copilots that need real-world commerce context — not synthetic data that hallucinates product facts.
Data science teams at major retailers building internal price optimization engines, demand forecasting models, or automated merchandising systems that require clean labeled training corpora refreshed continuously.
Academic researchers studying e-commerce pricing dynamics, consumer sentiment evolution, or product taxonomy structures who need large-scale real-world datasets for reproducible experiments and publications.
Software companies ingesting structured commerce data to power customer-facing dashboards, market indices, benchmarking tools, and automated reporting features within their own products.
Teams training product recognition models, visual search engines, image quality classifiers, or logo detection systems that need millions of annotated product images with consistent labeling standards.
Quantitative analysts using product pricing velocity, review sentiment shifts, stock depletion patterns, and promotional cadence as alternative data signals for investment models and market predictions.
All standard ML formats
Direct cloud delivery
GDPR + CCPA compliant
Native source, not translated
5-stage validation pipeline
For continuous retraining
Labels, tags, sentiment scores
Full field-level data dictionary
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.
E-commerce & Retail
Grocery & FMCG
Travel & Hospitality
Food & Restaurants
Finance & Legal
Healthcare & Pharma
Real Estate & Local
Automotive & Mobility
Media & Entertainment
Emerging Industries
