24 guides in 3 clusters
Guides
Reference material for the data these Actors return: what each field contains, how often it is actually populated, where the target site's own rules set the limits, and which obligations attach to which data. Written for somebody about to build a pipeline, not for a keyword.
Everything, most recently updated first
Measured fill rates
A field list is a promise. A fill rate is a measurement. This is what happened when one Actor's numbers were re-measured at n=741 instead of n=30.
Cache metadata
Shared caching makes runs fast and cheap and quietly destroys trust — unless the row itself reports where it came from and when.
Pay-per-event pricing
Charging per delivered row changes what you are allowed to ship. If an error row costs the user money, every bug becomes a billing dispute.
robots.txt as a spec
A site's robots.txt is the only machine-readable statement it makes about crawling. Treating it as the specification — and downloading it on every run — is why a scraper survives.
Comparing data sources
Coches.net, Milanuncios, Wallapop and AutoScout24 all list Spanish cars, and they differ in the one thing that matters for data work: how much structure the site publishes.
Spanish market analysis
What you can and cannot conclude from marketplace listings: asking prices are not transaction prices, inventory is not demand, and the badge distribution tells you more than the fuel type does.
GDPR and classifieds
Scraping a marketplace means scraping individuals. Article 14 attaches an obligation to that which no scraper can discharge at scale — and a setting does not remove it, it transfers it.
Coches.net data fields
A reference for the 55 fields in a coches.net listing row, each with the percentage of 550 real listings that had it filled, plus the two fields deliberately left out.
Car dealer lead lists
Dealer profiles come with business phone, address, postcode and province at 100% coverage on a 60-dealer sample. Private sellers' numbers are never included, and that is not a configuration gap.
DGT badge data
Spain's environmental badge decides where a car can drive and what it is worth. What each code means, how often it appears in listing data, and why it stays untranslated.
Cars below market price
A concrete screen: which fields to filter on, which segments carry the valuation data, and how to avoid the two biases that make a below-market list look better than it is.
Price rank explained
Coches.net computes its own valuation for each model and publishes it next to the asking price. Two fields, filled on 77.6% of listings, that replace a pricing model you would otherwise have to build.
Coches.net API
Coches.net publishes no public listing API. What it does publish is a server-rendered payload and a detailed robots.txt — which together define exactly what a compliant integration can read.
Scrape coches.net
A walkthrough of extracting used-car listings from Spain's largest vehicle marketplace: how discovery works by facet rather than pagination, what the 55 fields contain, and what a thousand listings cost.
Is it legal?
The interesting question is not "is scraping legal" but which specific data creates which specific obligation. Public business contact details and neighbor posts are not the same thing.
Trade area vs city
Asking Nextdoor for 200 dentists in one city returns the surrounding four towns too. We counted where the switch happens: results 1-75 were 96-100% local, everything past 76 was 0%.
Nextdoor city data
The city dataset is the least known part of Nextdoor's public surface and the most useful for market sizing: residents, income, age, homeownership, subjective scores and full category coverage.
Local lead generation
Which Nextdoor fields are usable for outreach, what the fill rates mean for a target list of a given size, and how to avoid building a list that is 40% dead ends.
Scraping without cookies
Most Nextdoor scrapers ask for your session cookies. They work on setup day and fail silently later. The trade-off of refusing them, stated in both directions.
Nextdoor city slugs
Nextdoor identifies a city as `city-name--state`. The rule sounds trivial and breaks on saints, hyphens and states that share a city name — here is the exact format and how to confirm a slug before spending a run on it.
Nextdoor data fields
A field-by-field reference for the 34 attributes in a public Nextdoor business record, each with the percentage of 741 real businesses that had it filled in.
Recommendations vs reviews
Measured across 891 recommendations, 50% were neighbors asking for a provider and only 19% were actual reviews. Why the feed mixes three things, and how to separate them before they poison a sentiment model.
Nextdoor API: what exists
Nextdoor has no public data API for business listings or recommendations. Here is what its actual interfaces cover, why the gap exists, and how to get structured data without one.
Scrape Nextdoor business listings
A complete walkthrough: how Nextdoor exposes business data to signed-out visitors, how to select cities and categories, what a first run costs, and how to read the 34 fields you get back.