Put data to work in real business
From opinion, ads and competitors to e-commerce pricing, AI training data and app markets — one acquisition capability covers many scenarios. AntsData gets you the real data you can't collect on your own.
Opinion Monitoring
Track volume, sentiment and spread across the web in real time — sense brand and event shifts first.
- Real-time volume and mention tracking
- Auto sentiment grading
- Reconstruct spread paths and key nodes
- Second-level alerts on negative buzz
Ad Monitoring
Cross-platform ad creatives, spend and landing-page insight — see rivals' buying strategy.
- Cross-platform ad creative library
- Spend scale and budget estimates
- Landing page and funnel reconstruction
- Rivals' buying cadence and selling points
Competitor Tracking
Rivals' launches, rankings, reviews and pricing — build continuous competitive intelligence.
- New product / version launch tracking
- Chart and ranking shift monitoring
- Web-wide pricing and promo changes
- Review and reputation intelligence
E-commerce Pricing
Web-wide price comparison, stock and promo tracking — power dynamic pricing and selection decisions.
- Web-wide price comparison and gap detection
- Stock and sold-out status tracking
- Promo / discount rule collection
- Real-time signals for dynamic pricing
AI Training Data
Real, structured, continuously refreshed corpora and signals for large models and agents.
- Web body text and structured extraction
- Multimodal text / image / video corpora
- Continuously incremental data streams
- Traceable sources, compliant and controllable
App Market Data
ASO keywords, charts, reviews and ad data — for app and game growth going global.
- ASO keyword and coverage tracking
- Free / paid / top-grossing charts
- Rating and negative-review analysis
- Ad creative and placement insight
Built for these teams
Different teams, different scenarios — backed by the same stable, deliverable, API-ready data acquisition capability.
AI Companies
Real data input for models and agents
Data Companies
Fill in hard-to-scrape data sources
Ad & Marketing
Ad monitoring and competitor insight
Cross-border E-commerce
Price comparison, selection and rival tracking
Opinion Monitoring Firms
Web-wide volume and sentiment
App / Game Going Global
ASO, charts and market data
From human-handled to self-serve
Customer relationships evolve as capability accrues: first people handle complex needs, then we standardize, platformize and add intelligence.
Human-led presales · consultative selling
Needs are rarely standard. Solution consultants first understand the business, judge feasibility, then quote and propose a scraping plan — people catch the complex requests.
- One-to-one needs discussion
- Feasibility and cost assessment
- Quote after POC validation
Semi self-serve API · customer success
High-frequency, standard needs are distilled into self-serve APIs customers can use directly; complex, non-standard needs enter the solution flow, supported by customer success.
- Self-serve standard API access
- Complex needs into the solution flow
- Ongoing customer success support
Self-serve platform · agent-assisted
Customers describe a need; the agent recommends APIs, generates a workflow and executes delivery; enterprise customers add a dedicated cluster and enterprise-grade service.
- Self-serve platform + workflow
- AI agent helps create tasks
- Enterprise service and SLA
Find the scraping scenario
that fits you
Hand your need to a solution consultant and validate feasibility with a controlled-cost POC; or browse the store and pick a ready-to-use standard API.