HasDatav1.0.0

E-commerce teams use amazon-search, google-shopping, and amazon-product to track competitor pricing across marketplaces on a schedule. They persist price changes to a file or database to detect undercutting and adjust their own pricing strategy dynamically. This requires no CSS scraping code, just CLI calls piped through jq.

Real-estate agents and investors pull zillow-listing with type=sold and recent days-on-zillow filters to identify comparable sales near a target property. They use redfin-property and zillow-property for deep dives on individual addresses, then summarize findings for clients. This replaces manual MLS lookups and stale public records.

Writers, analysts, and AI practitioners use google-serp and google-news to ground prompts with current information, then web-scraping with markdown output to summarize long articles without ads or navigation. They also verify links are live and render JS-heavy pages via web-scraping before citing them. This ensures outputs are not based on stale LLM training data.

Sales teams use google-maps and yelp-search to find businesses matching criteria, then fan out per-place calls to google-maps-place or yelp-place for phone numbers, addresses, and reviews. They combine glassdoor-job data to assess company size and reputation before outreach. This builds clean prospect lists without manual lookup.

Travel platforms and budget travelers use airbnb-listing, airbnb-property, and google-flights to compare vacation rentals and flight options across dates and destinations. They filter by price, location, and amenities, then aggregate results into comparison dashboards. Google-events can supplement with local happenings during the stay.

A developer builds a vertical-specific API (e.g., Amazon price history or Zillow comps) that internally calls hasdata subcommands and returns normalized JSON. This abstracts away scraping complexity and adds caching, scheduling, and alerting. The business sells API access or usage-based credits to other developers.

A SaaS product that continuously monitors prices, trends, reviews, and inventory across Google, Amazon, and Shopify for retail brands. Using hasdata CLI calls on a schedule, it surfaces alerts, dashboards, and reports so brands can act on competitor moves. The value is in aggregation and visualization, not raw scraping.

A consulting or agency service that uses hasdata to generate prospect lists, market research reports, and SEO audits for clients. Deliverables include contact-enriched business lists from Google Maps / Yelp and search-trend analysis from Google Trends. Clients pay per project or retainer instead of building internal data teams.