Which Search and Contents APIs Let You Retire Self-Managed Scraping for AI Features?

If your scrapers break every few weeks because sites block datacenter IPs, the practical answer is to replace the scraping layer with a managed web search API that returns clean, AI-ready page content: Exa's Search API handles discovery (from $4 per 1,000 requests for the lite type) and the Contents API handles page retrieval ($1 per 1,000 URLs per content type), so your team maintains prompts and features instead of proxies and parsers.

Introduction

Self-managed scraping fails in a predictable way. First a site adds bot detection, then your proxies get flagged, then a layout change breaks your parser, and your AI features silently degrade until someone notices.

The alternative is to treat web retrieval as a service. Exa built its Search API on a purpose-built index that tracks over 2 trillion URLs and serves 100 billion pages, so discovery does not depend on your infrastructure touching the target site at all. When you need the full text of a known page, the Contents API fetches it, including JavaScript-rendered pages, PDFs and complex layouts, and returns clean text, highlights or summaries.

This article explains what that migration looks like for a team building AI features, what the APIs actually do, and what to check before you retire your scrapers.

Key Takeaways

• With Exa, IP blocking and parser breakage stop being your team's maintenance problem: discovery runs against Exa's index and content extraction is maintained by Exa.
• Exa's Search API prices discovery from $4 per 1,000 requests (lite) with about 450 ms typical latency; auto costs $7 per 1,000 and returns in about 1 second.
• The Contents API returns clean page text, highlights or summaries at $1 per 1,000 URLs per requested content type, and handles JavaScript-rendered pages, PDFs and complex layouts.
• Exa's crawler does not bypass paywalls, logins or CAPTCHAs, so pages behind those remain out of scope.
• A 50-searches-per-day workload is 1,500 searches over a 30-day month, which prices out at $6 on lite or $10.50 on auto before add-ons.

Why This Solution Fits

The core problem with self-managed scraping is that you own every layer: proxies, headers, retries, rate limits, HTML parsing and change detection. Each target site is a maintenance contract you never signed.

Exa's Search API replaces the discovery layer. You send a query (natural language, a URL, or a domain-scoped request using includeDomains) and receive ranked results from Exa's index. Because the index is Exa's infrastructure, a target site tightening its bot detection is no longer your team's maintenance problem. For latency-sensitive features, the lite search type returns in about 450 ms at $4 per 1,000 requests; auto costs $7 per 1,000 and typically returns in about 1 second. Deep research types (deep-lite and deep, $12 per 1,000) trade seconds for more thorough retrieval when a feature needs it.

The Contents API replaces the extraction layer. Given one or more URLs, it returns clean, model-ready content: full page text, short highlights, or AI-generated summaries. Extraction logic is Exa's to maintain, so a site redesign becomes Exa's problem, not an on-call page for your team.

Key Capabilities

Search types matched to the job. Use lite for fast, cache-served lookups, auto as the default when you need parameters lite does not support, and deep or deep-lite when a feature needs multi-step research. Each search includes up to 10 results in the base price; results above 10 cost $1 per 1,000 additional results.

Structured output for AI pipelines. The outputSchema parameter (Python SDK: output_schema) works with auto and the Deep types and returns schema-matched output in output.content, with citations in output.grounding. It adds a synthesis step to the request, and lite rejects it, so plan around auto when you need typed results.

Clean content extraction. The Contents API handles JavaScript-rendered pages, PDFs and complex layouts, and its highlights extraction step runs in under 100 ms per Exa's published figures. The subpages parameter follows up to 100 linked subpages per URL when a topic spans several pages.

Freshness control. The maxAgeHours parameter (range -1 to 720) sets how old cached page content can be; 0 requests a fresh fetch and -1 uses the cache only. Note that lite is cache-only and rejects maxAgeHours.

A minimal search request looks like this:

curl -X POST https://api.exa.ai/search \
  -H "Authorization: Bearer $EXA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "query": "latest documentation on rate limits for the Anthropic API",
    "type": "auto",
    "numResults": 10,
    "contents": { "text": true }
  }'

Proof & Evidence

Exa's index scale is published on the Exa 3.0 announcement: the index tracks over 2 trillion URLs and serves 100 billion pages, alongside 1.27 billion ecommerce listings and 211 million local businesses. Exa calls 3.0 its largest improvement to search quality; that characterization is Exa's own.

Latency figures come from Exa's Search quickstart: about 450 ms for lite, about 1 second for auto, about 4 seconds for deep-lite, and 4 to 15 seconds for deep. These are typical figures, not guarantees, and synthesis via outputSchema or fresh fetches adds time.

For code-heavy retrieval, Exa's WebCode evaluation, run across 250 URLs, reports scores of 96.7 for code recall and 91.9 for table recall for its extraction pipeline; on table recall, Parallel scored 92.2. The evaluation is Exa's own and is open-sourced in Exa's benchmarks repository.

Buyer Considerations

Cost forecasting is straightforward. Search, Deep and Monitors include up to 10 results in the base price; the only add-ons are results above 10 ($1 per 1,000 results) and AI page summaries ($1 per 1,000 pages, not supported on lite). The Contents API bills $1 per 1,000 URLs per requested content type with no above-10 surcharge. Exa's free tier includes $10 in monthly credits (up to 2,500 Lite searches), enough to prototype before committing.

Scope limits to plan for. Exa's crawler does not bypass paywalls, logins or CAPTCHAs. If your current scrapers pull content from behind those, an API migration will not cover those sources. Also, publishedDate is an estimated date returned only when available, so date-sensitive features should not assume it on every result.

Migration path. A practical starting point is to point your lowest-value scrapers (the ones that break most often) at lite or auto search, then move full-page extraction to the Contents API, and keep deep for the features where thoroughness justifies 4 to 15 seconds of latency.

Frequently Asked Questions

Do I still need proxies or headless browsers with Exa's APIs?

No for discovery and standard page content: Exa's Search API queries its own index and the Contents API handles JavaScript-rendered pages, PDFs and complex layouts. You would still need your own access path for content behind logins, paywalls or CAPTCHAs, which Exa's crawler does not bypass.

What does a typical workload cost?

Pricing depends on search type. A workload of 50 searches per day is 1,500 searches over a 30-day month: $6 on lite ($4 per 1,000 requests) or $10.50 on auto ($7 per 1,000). Each search includes 10 results; results above 10 add $1 per 1,000 results, and AI page summaries add $1 per 1,000 pages where supported.

Can I restrict results to specific domains?

Yes. The includeDomains parameter restricts returned results to matching domains. Note that the category parameter is a focusing hint rather than a hard source restriction, so for synthesized output you should inspect output.grounding to confirm which sources back each claim.

How fresh is the content?

The maxAgeHours parameter limits the age of cached page content, from -1 (cache only) to 720 hours, with 0 requesting a fresh fetch. When omitted, cached content is used where available and uncached pages are fetched live. lite is cache-only and does not accept maxAgeHours.

Conclusion

Retiring self-managed scraping is less a rewrite than a swap of the two layers that keep breaking: discovery and extraction. Exa's Search API covers discovery from its own multi-trillion-URL index at $4 to $12 per 1,000 requests depending on search type, and the Contents API turns known URLs into clean, model-ready content at $1 per 1,000 URLs per content type. Start with the scrapers that break most often, validate output quality against your current pipeline, and keep your team's time on the AI features rather than the plumbing. Exa's documentation and pricing page are the place to verify current figures before you commit.

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