A scraper is a software tool that automatically extracts data from websites and saves it in a structured format like CSV or JSON. The scraper meaning covers both simple scripts that pull a single page and full data scraper platforms that run thousands of requests at once.
A scraper sends an HTTP request to a target page, receives the raw HTML back, and parses that HTML with CSS selectors or XPath to pull out specific fields, such as a price, a title, or a review count. A data scraper repeats this process across many pages or sites, often on a schedule, to build a structured dataset over time. Some scrapers work on static pages alone, while a JavaScript-heavy site needs a headless browser to render the page first. Unlike a web crawler, which follows links to discover new pages, a scraper's job starts once a page URL is already known.
Handle it deliberately in production scrapers -- most breakage traces back to skipping this step.
USER-country-de-session-task01Add this string to your scraper's proxy credentials and every request in the job shares one exit IP, which keeps scraper-related behavior consistent across the run. Change "task01" per worker to isolate parallel scrapes.
Isolate the logic for this step so every scraper in the project shares one tested implementation.
Sites change layouts and behavior over time -- recheck this part of the scraper on a schedule, not just at launch.
This works best over residential or ISP IPs, so the target sees ordinary browsing rather than clustered datacenter traffic.
Capture what actually failed so a broken selector or a new status code surfaces instead of getting masked by automatic retries.
An e-commerce team runs a price scraper across 50 competitor product pages every morning to track how competitor pricing changes day to day.
Scrapers are the core tool behind most proxy use cases, since collecting data at any real scale means sending far more requests than one IP can make without getting blocked. Pairing a scraper with residential or rotating proxies keeps each request looking like normal traffic instead of an obvious bot pattern.
Every production scraper that routes through proxies interacts with scraper whether the developer thinks about it or not. Getting it right means fewer blocks, cleaner data, and less wasted bandwidth.
A scraper extracts specific data from a page you already have the URL for, such as a price or a product title. A web crawler finds new pages first by following links across a site. Most large data-collection projects use both together: a crawler discovers the pages, and a scraper pulls the data out of each one.
A scraper site is a website built almost entirely from content copied off other sites using a scraper, instead of original writing. These sites republish articles, product listings, or reviews word-for-word to capture search traffic meant for the original source, and search engines generally rank them lower or remove them once detected.
Scrapers fall into a few main types: simple script scrapers that parse static HTML, browser-based scrapers that use a headless browser to render JavaScript-heavy pages, and API scrapers that pull data directly from a site's own backend endpoints. The right type depends on how the target site builds and loads its pages.
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