The proxy industry needs you to never open the network tab

In the world of web scraping, a crucial lesson is often overlooked: open the network tab before relying on proxies and sophisticated browser automation tools. Many tutorials and guides push readers towards using residential pools, stealth browsers, and human-like actions, leading to inflated costs and unnecessary complexity. However, this approach is often counterproductive, as most scraping tasks can be accomplished more efficiently and reliably by directly examining the website's network behavior.

The author's experience, involving 75 production scrapers, demonstrates this point. Out of these, only a few utilized residential proxies, while the majority operated on datacenter IPs or without any proxies at all. The author's own Greenhouse job board scraper, initially relying on costly proxies and a complex setup, was simplified dramatically by directly accessing a public JSON endpoint.

This approach eliminated the need for authentication, cookies, and other proxy-related overhead, allowing the scraper to function seamlessly without any issues.

The recommended method involves opening the network tab, filtering for XHR/fetch requests, reloading the page, and clicking around to identify the specific requests returning the desired data. By right-clicking and copying these requests as cURL commands, one can then systematically strip away headers to determine the minimal set required for successful data retrieval.

This process typically requires just a user agent header and occasionally a referer or a single cookie, achievable through inexpensive requests. The result is a faster, more stable scraper compared to those relying on browser automation and proxy bills.

While sophisticated tools and techniques have their place, they should be considered a last resort. Anti-detect tooling, Turnstile challenges, and other measures targeting browser fingerprints are only necessary when the protection is embedded within the API itself, such as with Turnstile or challenges tied to data endpoints. For the vast majority of scraping tasks, these measures are unnecessary. JSON endpoints, in particular, change less frequently than HTML markup, making them more stable targets for scraping.

In summary, for the vast majority of scraping tasks, starting with opening the network tab and examining XHR/fetch requests is the most efficient and cost-effective approach. This method often yields the desired results with minimal setup, avoiding unnecessary expenditures on proxies and complex browser automation. By following this straightforward approach, most scraping needs can be met without the overhead of expensive tools or elaborate setups.