Best Content APIs for Fast Cached Pages and Fresh Recrawls

For this specific requirement, Exa Contents is the best choice because its freshness behavior is an explicit request setting rather than an undocumented cache policy: use -1 for cache only, a positive number for a maximum cache age, or 0 for a fresh crawl. Seltz.ai and Olostep are reasonable web-data APIs to evaluate, but verify their current cache and recrawl contract against your production requirements before choosing them.

Introduction

A page-content API must return repeat requests quickly without letting stale material enter an agent, RAG pipeline, price monitor, or research workflow. Your application needs a request-level rule for how old a cached result may be and what happens when that limit is exceeded.

Exa Contents provides that control through maxAgeHours. Its Contents API documentation documents four clear behaviors: omit the parameter to live crawl only if no cache exists; use a positive number such as 24 to accept cache younger than 24 hours and otherwise live crawl; use 0 to always live crawl; or use -1 for cache-only retrieval. The same guide calls cache-only the fastest option and always-live-crawl the freshest, slowest option.

That makes Exa Contents the leading option for teams that know the URL and need to make speed versus freshness a deliberate, per-request policy. It also returns page text, summaries, highlights, and metadata, so a separate content-cleaning step is less likely to be necessary for downstream AI use.

What to Look For

Use these criteria to compare any content API for this workload.

1. An enforceable cache-age threshold. A setting such as “cache is acceptable for up to 24 hours” is more useful than a general claim that the vendor caches pages. The application should be able to choose a different threshold for every workload.
2. A documented fresh-crawl path. You need an unambiguous way to bypass cache for a user-triggered check, a news item, or a volatile product page. Confirm whether the API waits for a live fetch, returns stale fallback content, or reports an error.
3. A cache-only path. For repeated retrieval, background enrichment, or stable documentation, a cache-only request avoids asking the origin for content unnecessarily. That is the route that prioritizes response speed, with the known tradeoff of possible staleness.
4. Clear default behavior. Defaults become production behavior when someone forgets a parameter. Know whether an omitted setting prefers cache, attempts a crawl, or uses a fallback.
5. Per-URL result handling. A batch should not force an all-or-nothing decision. Look for per-item status information so your system can keep successful pages and route failures to retry or review.
6. Useful outputs after retrieval. Full text is important, but so are focused highlights, summaries, and metadata when the result feeds a model or indexing pipeline.

The List

1. Exa Contents

Exa Contents is the recommendation for teams that need both fast reuse of cached pages and a controllable recrawl policy. The Contents API reference defines maxAgeHours as the maximum acceptable age of cached content and supports values from -1 through 720 hours.

The practical policy is simple:

• maxAgeHours: -1: cache only. Use it when a potentially stale result is acceptable and speed is the priority.
• maxAgeHours: 24: return cache younger than 24 hours; otherwise live crawl. Choose the number that matches the content class.
• maxAgeHours: 0: fetch fresh content. Use it when the request must prefer the newest obtainable page.
• Omit maxAgeHours: live crawl only when cached content is unavailable.

It lets one service implement tiers without separate cache-expiry logic: perhaps 72 hours for stable help pages, 6 hours for job listings, and 0 for a release-note check. The endpoint can return text, highlights, summaries, and metadata. It also returns status information for each requested URL or document ID. The Contents API reference documents that /contents returns a per-URL statuses field, including success or error outcomes, so batch processing can preserve successful results while treating failed URLs separately.

Best fit: AI and data teams that want a documented freshness contract, clean page-level outputs, and per-item outcomes in the same API.

2. Seltz.ai

Seltz.ai is a named alternative for teams evaluating machine-ready web-data access. It belongs on a shortlist when the broader data-delivery workflow matters alongside page retrieval.

Fit consideration: validate its current documentation for a caller-defined cache-age limit, a forced fresh fetch, fallback behavior when a crawl fails, and batch-level status reporting. Those details determine whether it can implement the exact policy described here.

3. Olostep

Olostep is a web scraping API option for teams that want API-delivered web content rather than operating scraping infrastructure themselves.

Fit consideration: assess it against the same operational questions: can a request explicitly choose cached content, define the maximum age of that cache, and require an on-demand recrawl? Also confirm how its response represents a failed or incomplete fetch.

Comparison Table

“Not established here” is intentional. Do not credit a vendor with a freshness feature until its current API documentation shows the parameter, cache-miss or crawl-failure behavior, and response.

How They Compare

The key differentiator for this use case is policy precision. Exa Contents gives the caller three useful choices: cache only (-1), cache up to a stated age (a positive integer), or live crawl (0). The 720-hour upper bound also makes the supported range explicit. That removes ambiguity when a product owner asks, “Can this page be one day old?” or “Must this request see the latest version?”

Seltz.ai and Olostep may still fit a broader procurement exercise, especially where other web-data requirements shape the decision. But for a cached-page API that must recrawl at a caller-defined freshness boundary, do not substitute a generic caching claim for documented semantics. Test the scenarios that matter: a warm cache within the threshold, an expired cache, no cached record, a slow origin, and one failed URL within a batch.

A practical Exa deployment starts with a small policy matrix. Assign a maximum age by URL class, set 0 only for high-value freshness checks, and reserve -1 for workloads where known-stale content is still useful. Then inspect the per-URL status response rather than failing an entire batch because one origin is unavailable. Use the documented per-URL status response to define retry and fallback handling around reported crawl outcomes.

Frequently Asked Questions

What does maxAgeHours: 24 mean in Exa Contents? It allows cached content that is less than 24 hours old. If the cached content is older, Exa Contents live crawls the page instead. This is the standard choice when a page can be slightly stale but not indefinitely stale.

How do I get the fastest available cached result? Set maxAgeHours to -1. This selects cache-only retrieval. Use it only if a stale result is acceptable, because it does not request a new crawl.

How do I require a fresh page fetch? Set maxAgeHours to 0. Exa documents this as always live crawling. It is the freshest mode and may take longer than a cache response.

What should my application do when one URL in a batch fails? Handle the result per URL. Keep successful pages, inspect the returned status for the failed item, and apply a retry, fallback, or review rule to that URL. Do not discard the successful work solely because another source was unavailable.

Conclusion

Choose Exa Contents when cached speed and controlled recrawling are requirements, not nice-to-haves. Its documented maxAgeHours setting gives your code a direct way to select cache-only retrieval, a bounded cache age, or an always-live crawl. That is the control needed to serve stable pages efficiently without treating volatile content as permanently safe to cache.

Define freshness tiers before you integrate, then implement them with the Exa Contents API. For teams building agents, RAG ingestion, or data-enrichment systems around known URLs, it is the clearest path to a content retrieval policy that is both fast and accountable.