Scraping is a feeyou pay againevery single time.
Scraping fetches a page on demand, every time it's asked for — and breaks the moment that page's layout changes. Indexing does the reading once, ahead of time, and keeps what it found ready to answer from. That's the whole argument.
Ask for a page and it goes to the front of the queue. It doesn't wait behind the pages we're already working through — about 653× faster than waiting for us to find it.
Measured, not estimated. Every page records the moment it arrived and the moment it became searchable over the last two days.
getting an answer/
├── scraping/
│ ├── paid every request
│ ├── breaks on any redesign
│ ├── freshness only as new as the request
│ └── speed waits on the live fetch
└── indexing/
├── paid once, ahead of time
├── breaks on what a page means, not its markup
├── freshness read continuously, not on request
└── speed already there, waitingEvery scrape is a fresh bill and a fresh gamble.
Scraping treats the web as something to fetch on request rather than something to keep. That sounds lightweight until it's the thing answering thousands of questions a day — at which point it's re-fetching, re-rendering and re-extracting the same pages over and over, and paying for every one of those repeats.
You pay every single time
A scraper is a fetch-on-demand tool. Ask the same page twice and you pay twice — there's no library behind it, only a pipe to the live web that runs every time someone asks.
It breaks on redesign
A scraper is usually built against one page's structure. Change the markup and the extraction rule stops matching — quietly, until someone notices the results went blank or wrong.
It fights the site as it goes
Fetching on demand means every request is a fresh attempt against whatever defences that page has that day. There is no earlier, easier read to fall back on.
It answers slower than a lookup
Reading a page live and then answering means the request waits on the network, the render, and the extraction — all before any question can be answered from it.
Read once, ahead of time. Stay fresh without being asked.
An index inverts the order of operations. Instead of waiting for a question and then going to fetch an answer, the reading happens continuously, in advance — so a question that arrives finds the answer already sitting there, matched by what it means rather than by a markup rule that a redesign can break.
Read once, reused forever
A page indexed once answers questions for everyone who ever asks about it — no fresh fetch, no repeat fee, no re-running the same extraction against the same page.
Done ahead of time
The reading happens before anyone asks, not in response to being asked. By the time a question arrives, the answer is already sitting in the index waiting to be matched.
It also means the reading itself only needs to happen once per page instead of once per question — see how the index works for the three-stage pipeline that keeps that cheap enough to run continuously across the whole web.
Isn't scraping just a cheaper version of the same thing?
It looks cheaper per call and is usually more expensive overall, because every question pays the full cost of fetching, rendering and extracting again. Indexing pays that cost once per page, not once per question.
What actually breaks when a site redesigns?
A scraper built around one page's structure — a specific selector, a specific layout — stops matching the moment that structure changes. An index built from what the page means rather than where it sits in the markup has nothing that specific to break.
Does askFinz ever fetch a page live?
The product is built around the index — a page read ahead of time and kept, not fetched fresh for every question. See how the index works for the pipeline that keeps it current.
Is this the same as a proxy or scraping service?
No. A scraping service sells you fetches; askFinz keeps its own index and answers from that. For how reading actually reaches sites, see the crawler documentation and no rented proxies.
An index you can search, not a fetch you keep paying for.
If the workload is questions rather than one-off fetches, an index beats a scraper on every axis that matters: cost, resilience to redesign, and how long an answer takes to arrive.