Blog / Web data by industry
Web data by industry
What structured data from real estate, travel, jobs, search, social and marketplace sites is good for, with real fields and uses.
Job Posting Data for Labour-Market Research
Which Indeed posting fields support trend analysis, where postings mislead versus hires, and a weekly collection plan that costs 3,000 credits a month.
Salary Data from Job Sites: Reading Ranges Without Bias
Glassdoor's salaries endpoint returns p10 to p90 total pay, a currency and a national count. How to read those ranges and the biases of self-reported pay.
Software Review Data Analysis for Competitive Research
What Capterra, Trustpilot and Google Play reviews can and can't tell you about a competitor, which fields to keep, the sampling bias, and a worked rating tally.
Flight Price Data: What Fare Tracking Can and Cannot Show
What one recorded JFK to LAX call shows: price, stops, duration and CO2 per flight. Plus what a single snapshot can't tell you, and a daily tracker's cost.
Vacation Rental Pricing Data: Fields That Matter
Which Airbnb and Vrbo fields drive nightly-rate analysis, why advertised rates aren't booked rates, and what tracking 200 listings weekly costs in credits.
Classifieds Data for Price Benchmarking: A Practical Guide
Benchmark prices with eBay, Craigslist and Kleinanzeigen data: which fields to keep, why asking prices run high, and a median script at 1 credit per call.
Product Review Data for Sentiment Analysis: What to Collect
Which review fields to keep from Trustpilot, Google Play and the App Store, how to handle rating skew and duplicates, and why to drop reviewer names.
Search Result Data for SEO Monitoring: Fields to Track
Which search result fields to store per keyword per day, from position to snippet, and what 200 keywords tracked daily cost in credits.
Rental Listing Data for Market Analysis: Fields That Matter
Which rental listing fields drive yield and rent-index work: rent range, beds, fees, deposit and availability date, with real HotPads and SpareRoom output.
Hotel Price Data for Rate Monitoring: Fields and Costs
The fields a rate-monitoring job needs from Booking, Expedia and Trivago, and what 200 hotels over 30 dates costs, 6,000 credits per source.
Patent Data for Competitive Intelligence: A Practical Guide
Which patent fields show where a competitor invests (assignee, priority and filing dates, family status), the 18-month publication lag, and a worked example.
Car Auction Price Data: What Sold Prices Can Show
Auction results are sold prices, not asking prices. The filters that matter on Bring a Trailer, Cars & Bids and Copart, their biases, and a 5-year pull's cost.
Used Car Listing Data: Fields for Price Analysis
Which fields a used-car price model needs (mileage, year, trim, seller type, days listed) and how AutoScout24, CarGurus and AutoTrader UK return them.
News Data for Event Detection: Signals and Noise
Turn news search results into event signals: drop duplicate URLs, cluster syndicated titles, count distinct sources in a window, and compare with a baseline.
UK Sold House Price Data: What Listing Sites Add
Land Registry's Price Paid Data is the free record of sold prices. What Zoopla and Rightmove add (asking prices, agents, valuation history) and fields to keep.
Real Estate Listing Data: Fields That Matter for Valuation
Which fields in a Zillow search response feed a valuation model (price, livingArea, yearBuilt), which are noisy, and what listing data can't tell you.
Search Trend Data for Demand Forecasting: What It Can Show
Google Trends values are a 0 to 100 relative index, not search volumes. What that means for forecasting, with a real interest response and a rescaling example.