Scraping API vs scraping: which should you choose?

Should you use a website's official API or scrape it? Both extract data, but they differ in availability, cost, reliability and legal framework. Here's how to choose — and how to combine both.

  • Structured data (JSON), ready to use
  • Stable, versioned and documented format
  • Key-based, traceable access
  • Rate limits and quotas depending on the plan
  • No API required: any public page is accessible
  • Complete data: text, prices, images, site structure
  • Independent of API quotas and price changes
  • The trade-off: more fragile to layout changes
  • Availability: does an API exist?
  • Scope: one site, several sites, a whole site?
  • Freshness: real time (API) or batches (scraping)?
  • Structure: clean data or data to extract?
  • Volatility: does the layout change often?
  • API: per-call, volume or subscription pricing
  • Scraping: cost in compute, bandwidth and maintenance
  • API: scaling bounded by quotas
  • Scraping: scaling controlled on your own infrastructure
  • API: clear terms, defined uses and quotas
  • Scraping: respect robots.txt and site terms
  • Personal data: apply the GDPR (see the dedicated guide)
  • API: the most explicit framework for automated use
  • API when it exists and is enough
  • Scraping for the rest of the scope
  • Normalise both sources into one format
  • One unified interface for the whole ecosystem
Should you use an API or scrape a site?

It depends on your need. If an official API exists and covers the scope you want, it is simpler and more stable. If you must aggregate several sites, capture a whole site or retrieve data no API exposes, scraping is necessary.

Is an API always more reliable than scraping?

No. An API is stable as long as the owner maintains it, but it can change version, price or be restricted. Scraping depends on the site layout: it needs monitoring and adjustments, but stays independent of the owner decisions.

Does scraping cost more than an API?

Not necessarily. An API is billed per call or volume, which can get expensive at scale. Scraping consumes compute and bandwidth but lets you share the infrastructure across many sites.

Can you combine an API and scraping?

Yes, and it is often the best approach. Query the API where it exists for structured data, and scrape to complete the scope. Normalising both into one format avoids depending on a single source.

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