Web Scraping vs APIs

When you need data from a website, you generally have two options: use the site's official API (if one exists) or scrape the data from the web pages themselves. Both approaches have real trade-offs. Here is how to decide which one to use.

Quick comparison

Official APIWeb Scraping
Data availabilityOnly what the API exposesAnything visible on the page
Structured outputRequires parsing
StabilityVersioned, documented changesCan break when site updates
Rate limitsOften strictDepends on approach
CostFree tier then paid (often expensive)Cost of rendering/proxies
AuthenticationAPI key, OAuth, etc.None for public pages
Works without an API existing

When to use an official API

The API provides the exact data you need

If a site's API gives you the data you need in a clean, structured format, use it. API responses are already parsed - you get JSON or XML instead of HTML that you need to navigate and extract from. This is simpler to work with and less likely to break.

You need real-time or streaming data

APIs can offer webhooks, WebSocket connections, or polling endpoints that deliver data in near real-time. Web scraping is batch-oriented by nature - you check the page periodically, not continuously.

The API is free or reasonably priced

Some APIs offer generous free tiers or pricing that works for your use case. If the cost and rate limits fit your needs, an API is the path of least resistance.

You need write access

If you need to create, update, or delete data (posting to social media, updating inventory, managing listings), you need an API. Web scraping is read-only - it can extract data but cannot modify anything on the target site.

When to use web scraping

No API exists

Most websites do not offer a public API. If the data you need is on a web page but there is no API to access it programmatically, scraping is your only option. This is the most common reason people scrape.

The API does not expose the data you need

APIs only return what the provider chooses to expose. A site might display pricing, reviews, and availability on its web pages but only offer a limited API that returns product names and descriptions. If the data is visible on the page but not available through the API, scraping fills the gap.

The API is too expensive

Some APIs charge per request at rates that make large-scale data collection prohibitively expensive. A social media API might charge $100/month for 10,000 requests. If the same data is publicly visible on the website, scraping it may be more cost-effective.

The API has restrictive rate limits

Free API tiers often come with tight rate limits - 100 requests per day, 1,000 per month. If you need more data than the rate limit allows and upgrading is not feasible, scraping the public web pages is an alternative.

You need data from multiple sources

Integrating 10 different APIs means managing 10 different authentication schemes, rate limits, data formats, and pricing models. Web scraping uses the same approach for every site - fetch the page, parse the HTML. One tool, one method, any website.

Using both together

In practice, many data collection projects use both approaches. You might use an API for structured product data and scrape the website for pricing that the API does not include. Or use an API for your primary data source and scrape competitors who do not offer APIs at all.

The best approach depends on your specific data needs, budget, and how much maintenance you are willing to do. APIs are more stable but limited. Scraping is more flexible but requires updating when sites change.

How Browser7 fits in

Browser7 is a web scraping API - it handles the infrastructure side of scraping (browser rendering, proxies, anti-bot bypass, CAPTCHAs) so you only write the data extraction code. You get the flexibility of web scraping with the simplicity of an API call.

Every page costs $0.01 with everything included. No proxy subscriptions, no browser infrastructure, no CAPTCHA solving services. If you have decided that scraping is the right approach for your use case, Browser7 makes the implementation straightforward.

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