Solutions
Each solution covers one problem: the data you need, how Zenrows collects it, and what you build with it. Looking for guides by team or role? See For teams.
Each solution is scoped to one outcome, with the data your team needs and how to use it. Looking for team-specific guides? See For teams.
Competitor prices tracked and decision-ready, the moment they move, not last week's snapshot.
Track competitor prices for these 20 SKUs and alert me the moment any of them drops.
Every competitor move, prices, stock, positioning, reviews, on one structured feed you can act on.
What did my top three competitors change this week, prices, stock, or positioning?
A company domain in, a full account out, sourced from its own web and kept current.
Enrich these company domains with headcount, funding, and tech stack.
Every product across every seller, normalized into one clean catalog: variants, prices, reviews, images.
Pull every variant, price, and review for this product across all sellers.
Give your AI agents reliable access to the live web. Fetch clean context, extract structured data, and operate dynamic websites.
Give my agent live, structured access to any website it needs.
Reviews, forums, news, and listings across the open web, normalized into one research dataset.
Size this market from public web sources and cite every one.
Web-scale text, cleaned, deduplicated, and license-aware. Raw pages in, a model-ready corpus out.
Collect a clean, deduplicated corpus from these domains for training.
Counterfeit, fake reviews, brand abuse, and sanctioned entities, monitored across the open web and flagged.
Flag any of these sellers listing counterfeit or restricted goods.
Assortment, price, stock, variants, and reviews from every store, kept current as one clean feed.
How are my competitors priced and stocked across these categories?
Hiring, app ranks, reviews, and footprint turned into clean series that lead the reported numbers.
Turn these filings and product pages into a daily alt-data signal.
Posts, engagement, profiles, and spread across every platform, pulled clean and structured, live.
What are people saying about my brand across these platforms?
Headlines, articles, and bylines from across the web, pulled clean and structured in near real time.
Summarize today's coverage of this topic from these outlets.
Freight, ports, customs, and inventory tracked across carrier and authority sites, returned as one live feed.
Track carrier rates and transit times across these lanes.
Web signals for finance, PE, and hedge funds. Hiring trends, product velocity, reviews, category activity.
Turn this web activity into a signal I can backtest.
Listings, pricing, occupancy, market movement, and demand signals, refreshed on schedule.
Pull every active listing in these ZIP codes, with price history.
Availability, pricing, and reviews per provider, across hotels, flights, and rentals.
What's the cheapest fare and availability for this route next month?
Job postings as a structured feed. Hiring signals turned into alternative data.
How many roles is this company hiring for, and where?
Adjacency
Same outcome, two surfaces. /solutions is for the buyer. /workflows is for the agent. Cross-linked, not duplicated.
Browse workflowsPick the route