Crawl budget is the practical set of URLs a crawler can and wants to fetch from a site during a period. Google describes its own budget as the combination of crawl capacity — how much the host can serve safely — and crawl demand — which URLs the crawler considers worth revisiting or discovering.
Capacity protects the target. A crawler should reduce concurrency when responses slow down or server errors rise, and obey explicit pacing signals such as HTTP 429 and Retry-After. Demand protects the crawler's resources: pages that change often or lead to important content deserve earlier revisits than stable, duplicate, or low-value URL variants.
For Google, crawl budget is mainly an advanced concern for very large or rapidly changing sites. For a private scraping job, the same idea is useful at any scale because request quota, runtime, and the target's serving capacity are all finite even when no search indexing is involved.
Faceted navigation, calendar paths, tracking parameters, session IDs, and endless internal search combinations can create an effectively infinite URL space. A crawler that follows every variant may never reach the records that matter. Canonicalization, duplicate filters, maximum depth, and per-pattern limits keep that space bounded.
Sitemaps and stable discovery APIs can put important URLs in front of the crawler without forcing it through every navigation path. Conditional requests with ETag or Last-Modified can save response bytes and parsing work on revisits, although the request itself still consumes server and client capacity.
Define maximum requests per host, concurrency, retry counts, wall-clock time, and stop conditions before a crawl starts. Separate discovery limits from item limits: collecting 10,000 products may require visiting category pages, but a runaway navigation branch should not be allowed to consume the entire job.
Measure useful records per request, duplicate rate, response latency, and error rate. Those signals show whether a larger budget would improve coverage or merely repeat low-value work. A drained queue proves the current frontier is empty; it does not prove the site was exhaustively covered if discovery rules excluded content.
How Crawlora handles this
Crawlora callers can select documented platform operations and pagination bounds instead of exploring an open-ended site graph. Consumers remain responsible for choosing a reasonable query scope, page limit, schedule, and retry policy for their use case.
Related reading
Glossary
FAQ
No. Google popularized the term for search crawling, but any crawler has finite target capacity, time, quota, and demand priorities. Private crawlers should set explicit budgets too.
No. More requests cannot recover URLs the crawler never discovers or intentionally excludes. Coverage also depends on seeds, sitemaps, pagination, canonicalization, and stop rules.
They still require a request and server validation, so they consume some capacity. They save response bandwidth and parsing work because the unchanged representation body is not transferred again.
Beyond Crawl Budget, Crawlora's own docs cover the rest of the stack — browse the APIs, test a request in Playground, and move from scraping infrastructure work to production data workflows.