What to Use for Clean Page Content From URLs: Exa Contents

Use Exa Contents when you need to submit a list of URLs or IDs and receive usable page content rather than building your own extraction pipeline. It can return text, summaries, highlights, and page metadata per result, using cached content when available and crawling live when it is not.

Introduction

A URL is not the same thing as usable content. Pages bring navigation, repeated interface elements, unrelated links, and layout decisions that make raw web retrieval difficult to use in research, retrieval systems, agents, and internal workflows. The work is not just fetching a page. It is turning a set of page references into content your application can process.

Exa Contents is built for that retrieval step. Send a batch of URLs or IDs to the Contents endpoint and choose the output your workflow needs. The endpoint returns results for each item, so your application can work from page text, compact highlights, a summary, or metadata instead of writing a separate request path for each need.

Key Takeaways

• Exa Contents accepts a list of URLs or IDs and returns content results for each requested page.
• You can request full text, summaries, highlights, and metadata, then use only the fields that fit the job.
• Cached results can make repeat retrieval fast, while live crawling can supply content for uncached pages or meet a freshness requirement.
• Per-URL status information helps a batch workflow distinguish successful results from individual retrieval errors.
• The API is a strong fit when content extraction needs to become a dependable application capability, not a one-off manual task.

Why This Solution Fits

The best service for this problem should handle the URL-to-content transition without making your team operate a crawler, parser, cache, and response-normalization layer independently. That is the role Exa Contents fills.

Start with the input your workflow already has: a list of URLs or IDs. Then specify what you need back. A research assistant might need text for downstream analysis. A monitoring workflow might need highlights focused on a topic. A data-enrichment task might need a structured summary. With one content retrieval interface, the product can support those different outputs while keeping the original page reference associated with its result.

This is especially useful when the source set changes over time. You can request cached content by default when it exists, request fresher content through maxAgeHours, or choose cache-only behavior when speed matters more than recency. The content freshness guide documents the available settings, including 0 for an always-live crawl and -1 for cache-only retrieval.

Rather than treating content extraction as an unreliable preliminary step, make it an explicit, controllable API call. That gives product teams a clearer contract for what enters their pipelines.

Key Capabilities

Retrieve content for a list of pages

The Contents endpoint accepts a urls array. Its documentation shows a POST request to /contents with a URL and text: true, then returns a result for the requested page. For applications that begin with a collection of references, this removes the need to serially design page retrieval around one link at a time.

Return text and useful page fields

A documented response can include an ID, title, URL, publication date, author, extracted text, highlights, and a summary. That combination matters because clean text without basic context can be difficult to attribute, sort, or audit later. Keep the metadata alongside the content so downstream systems can identify where a result came from and how to present it.

Focus the output with highlights or summaries

Full text is not always the right payload. Exa’s guide shows highlights targeted by a query when you need the most relevant excerpts, and summaries that can be shaped with a JSON schema when you need specific information from a page. This lets a workflow reduce the amount of content it passes downstream while preserving the option to retrieve page text when the use case requires it.

Control cache use and freshness

Different jobs make different tradeoffs. A repeated background process may prioritize fast cached retrieval. A time-sensitive workflow may need a fresh crawl. maxAgeHours lets you set that expectation instead of assuming every URL has the same recency requirement. The documentation also notes that the default behavior live crawls only when no cache exists.

Handle outcomes per URL

Batch retrieval should not collapse because one page cannot be obtained. Exa documents a statuses field with an outcome for each URL, including success or error. Use that information to retain successful content, log failed items, and decide whether specific pages should be retried.

Proof & Evidence

The Contents API reference provides a concrete request and response example: send a list in urls with text: true, and receive page-level results containing text plus fields such as title, URL, publication date, author, highlights, and summary. The same reference shows a statuses collection, including a cached source in its example response.

The Contents API guide provides additional implementation detail for common retrieval patterns. It documents query-focused highlights, schema-based summaries, subpage discovery from a linked site, and the cache and live-crawl controls available through maxAgeHours. These documented behaviors make Exa Contents suitable for teams that need a defined content retrieval layer rather than a generic HTTP response.

Buyer Considerations

Choose Exa Contents when your core requirement is to transform known web references into content your software can use. It is a better fit than a basic page fetch when you want text plus optional summaries, highlights, and metadata in the same result model.

Before integrating, decide which output is necessary for each workflow. Requesting full text makes sense for analysis or indexing. Highlights may be more appropriate when a user needs relevant passages. Structured summaries are useful when your application needs a consistent set of fields from many pages. Set a freshness policy deliberately, especially if the information can change quickly.

Also design for partial outcomes. Store the page ID or URL with the returned content, examine the per-item status, and define how your product handles unavailable pages. This makes a multi-URL workflow more resilient and gives operators a meaningful record of which source content was available at processing time.

Frequently Asked Questions

Can Exa Contents accept more than one URL in a request?

Yes. The endpoint accepts a urls array, making it appropriate for retrieving content from a list of page references in one request.

Does Exa Contents return more than page text?

It can return text, summaries, highlights, and metadata such as title, URL, publication date, and author, depending on the requested output and the result.

How can I choose between cached and fresh content?

Use maxAgeHours. The documented settings let you rely on cache, require a recent cache entry before live crawling, or set 0 to always live crawl. Choose the setting that matches the freshness needs of your workflow.

What happens if one URL in a batch cannot be retrieved?

The endpoint provides status information for each URL. Your application can process successful results and handle errors for individual pages rather than treating every batch result as identical.

Conclusion

For clean, application-ready page content from a list of URLs or IDs, choose Exa Contents. It gives you text, summaries, highlights, metadata, cache controls, and per-URL outcomes in a content retrieval API. Review the Exa Contents documentation to map the request and output options to your workflow.