Best OpenClaw Search Providers in 2026: Brave, Tavily, Gemini, and More Compared

The OpenClaw web search skill powers real-time web access inside AI agents. But it only works as well as the search provider behind it. Pick the wrong one and you get slow responses, incomplete data, or JavaScript-rendered pages that never load. Worse, your OpenClaw web search API costs compound fast once agents run autonomously.

This guide covers the 7 best OpenClaw search providers in 2026. For each, we document what it returns, where it breaks down, exact pricing, and when to use it. All information are based on hands-on testing across research, scraping, and monitoring workflows. Plus, Octoparse shows you what comes after search: turning raw results into clean, structured data ready for analysis.

Quick Answer:

Start with Brave for general use, which is the official default with the most documentation and ~1,000 free queries per month. Upgrade to Tavily if your agent needs structured, full-content results without separate web_fetch calls. Use DuckDuckGo only for local testing before committing to a paid provider.

How OpenClaw Web Search Works

An OpenClaw search provider is the external service that powers the web_search tool inside your agent. It provides two core tools:

• web_search: Sends a query to your configured provider and returns up to 5 results (title, URL, snippet) by default, cached for 15 minutes. Requires a valid API key.
• web_fetch: Retrieves the raw content of a URL via HTTP GET. Does not execute JavaScript, whose pages that rely on client-side rendering will return incomplete or empty content.

The two tools often work together: web_search identifies relevant URLs, and web_fetch extracts content from those pages. Your choice of search provider determines the quality of that first step and whether you need web_fetch at all.

Two integration types exist:

• Native providers: configured under tools.web.search.provider in openclaw.json. Includes Brave, Gemini, Grok, Perplexity, DuckDuckGo, Firecrawl, and Tavily.
• Skill/MCP-based providers: installed alongside your agent setup as additional commands. SearXNG currently works this way.

All native providers accept an API key either as an environment variable or directly in openclaw.json. Auto-detection order when multiple keys are set: Brave → Gemini → Grok → Perplexity → Firecrawl → Tavily. The first key found wins.

The web_search + web_fetch combination gets your agent to a page and then, stops there. web_fetch retrieves raw HTML; it does not parse, structure, or export the data inside it. For simple one-off reads (summarise this page, check if this price changed), that is enough. But as soon as your agent needs to loop through product listings, extract structured fields, or monitor dozens of pages on a schedule, you are doing web scraping and the search provider is only the first step of that pipeline.

Quick Comparison: Best OpenClaw Search Providers

Here’s a quick comparison of the major OpenClaw search providers. We’ve evaluated each based on what they return (snippets vs. structured content), their free tiers, and the integration process.

Overview of OpenClaw Search Providers

Note that all providers return URLs and snippets; none handle the downstream step of extracting structured data from those pages. If you need web scraping and your use case involves extracting structured data from those pages (product prices, lead lists, inventory fields), skip ahead to the After Search section.

Brave Search: The Official Default

Brave is OpenClaw’s default provider and the most-documented option in the official docs. It runs on its own independent index — not Google or Bing — making it a solid privacy-first choice for general web search API use. The Brave Search API offers strong freshness controls and reliable country/language filtering, making it practical for news-aware agents and real-time monitoring tasks.

What it’s good at:

• Clean, privacy-focused search with reliable country and language filtering
• Freshness and date range filters (freshness: “week”, date_after, date_before) for news-aware agents
• Best-in-class documentation and community support among all OpenClaw providers

Where it falls short:

• Returns snippets only — no full-page content; agents needing body text must make a separate web_fetch call per result, adding latency
• llm-context mode silently drops several filter parameters (ui_lang, freshness, date_after, date_before)

💲Pricing: $5/month free credit (~1,000 queries). $5 per 1,000 requests beyond that.

Editor’s Take: Brave is the right starting point: most documented, strongest community support, and the free tier covers typical personal agent use. If your agent needs to extract product fields, monitor listing pages, or build any kind of structured dataset from search results, snippet-only output means you are only halfway there; web scraping picks up where the search provider stops. See the Octoparse section below for how to fill that gap.

Configuration:

{
  "tools": {
    "web": {
      "search": {
        "provider": "brave",
        "apiKey": "YOUR_BRAVE_API_KEY",
        "maxResults": 5,
        "timeoutSeconds": 30
      }
    }
  }
}

Or set BRAVE_API_KEY as an environment variable.

Tavily: Best for AI-Optimized Research

Tavily is designed specifically for AI agent workflows, returning structured JSON responses including full page content. This reduces or eliminates the need for separate web_fetch calls — a meaningful speed and cost improvement for research-heavy pipelines.

It works both as a native OpenClaw web search API provider and as a ClawHub skill, unlocking five dedicated tools: tavily_search, tavily_extract, tavily_crawl, tavily_map, and tavily_research.

What it’s good at:

• Direct answer extraction — ideal for competitive intelligence and fact-checking
• Advanced search depth for in-depth, multi-source coverage
• Domain filtering for curated, trusted sources

Where it falls short:

• Requires installation via ClawHub skill for the full tool suite
• Can conflict with the native web_search provider if both are configured simultaneously

💲 Pricing: 1,000 free searches/month. ~$0.008/search beyond that.

Editor’s Take: Tavily excels at structured outputs, making it the best upgrade for research-heavy agents — especially competitive intelligence, fact-checking, or multi-source synthesis workflows.

Install via ClawHub skill:

/skill install @anthropic/tavily-search

Or as a native provider:

{
  "tools": {
    "web": {
      "search": {
        "provider": "tavily",
        "tavily": { "apiKey": "tvly-your-api-key" }
      }
    }
  }
}

Gemini: Best for Google-Grounded Answers

Gemini uses Google’s search index to generate AI-synthesized answers with inline citations. Default model is gemini-2.5-flash. If you already pay for Gemini API access — for LLM calls elsewhere in your stack — search comes at no extra subscription cost, making it a pragmatic zero-added-cost option.

What it’s good at:

• AI-synthesized answers with source citations — reduces hallucination for factual queries
• Broad coverage for local and long-tail queries backed by Google’s index

Where it falls short:

• Returns synthesized text, not structured lists (titles/URLs/snippets) — requires prompt adjustments for downstream skills
• Not ideal for agents needing clean structured data for further programmatic processing

💲 Pricing: Token-based. Effectively free for light use with existing Gemini API access.

🔎Editor’s Take: A strong choice for conversational AI queries and grounded Q&A, but the synthesized output format makes downstream data extraction harder. Pair with Octoparse’s structured extraction layer for reliable results.

Configuration:

{
  "tools": {
    "web": {
      "search": {
        "provider": "gemini",
        "gemini": {
          "apiKey": "AIza...",
          "model": "gemini-2.5-flash"
        }
      }
    }
  }
}

Perplexity: Best for Domain-Filtered Research

Perplexity stands out with its domain_filter feature, letting you restrict results to trusted sources such as .edu domains or github.com. This precision makes it uniquely valuable for academic, technical, and compliance-sensitive research where source quality matters as much as result quality.

What it’s good at:

• Domain-filtering to restrict results to trusted, vetted sources
• Scalable content handling for heavy multi-source research tasks

Where it falls short:

• Dual-mode setup can be confusing for first-time configuration
• No free tier — a barrier for prototyping or low-budget projects

💲 Pricing: No documented free tier in OpenClaw docs.

🔎 Editor’s Take: Best for domain-specific or technical research. Not cost-effective for general-purpose search tasks. If domain_filter isn’t a requirement, Brave or Tavily offer better value.

Configuration:

{
  "tools": {
    "web": {
      "search": {
        "provider": "perplexity",
        "perplexity": { "apiKey": "pplx-..." }
      }
    }
  }
}

Grok: Best for Real-Time Social and News Search

Grok leverages xAI’s API to provide real-time data from social platforms like X (formerly Twitter) and breaking news outlets. It’s the only provider on this list with native social data access, making it the clear choice for social listening and PR monitoring use cases.

What it’s good at:

• Real-time access to social media conversations and breaking news data
• AI-synthesized answers with citations, updated for current events

Where it falls short:

• Best suited for real-time social data — not a general-purpose web search replacement
• Social data access is only useful if your workflow actively requires it

💲 Pricing: Included with xAI API access.

🔎 Editor’s Take: Grok is purpose-built for time-sensitive tasks where data freshness is non-negotiable. It does not replace a general-purpose search provider — run it alongside Brave or Tavily for complete coverage.

Configuration:

{
  "tools": {
    "web": {
      "search": {
        "provider": "grok",
        "grok": { "apiKey": "xai-...", "model": "grok-4-1-fast" }
      }
    }
  }
}

DuckDuckGo: Best Free Zero-Config Option

DuckDuckGo is OpenClaw’s only native provider requiring no API key. It works by scraping DuckDuckGo’s non-JavaScript HTML search pages — not an official API — making it fully free and zero-configuration. It is officially listed in OpenClaw’s documentation as an experimental, unofficial integration.

What it’s good at:

• Zero cost, zero API key setup — works out of the box
• Good enough for personal use and testing the OpenClaw web search skill before committing to a paid provider
• Region and SafeSearch controls available

Where it falls short:

• Experimental and unofficial — DuckDuckGo may serve CAPTCHAs or block requests under heavy or automated use
• No freshness filters or granular country/language filtering compared to Brave
• HTML parsing can break if DuckDuckGo changes its page structure

💲 Pricing: Free. No account or API key required.

🔎Editor’s Take: The right starting point if you want to test OpenClaw’s web search capabilities before signing up for any paid API. Not suitable for production or high-volume use; switch to Brave or Tavily once your workflow is validated. And once you move to production and start needing structured data from the pages your agent finds (price lists, product fields, lead information), that’s when a dedicated web scraping layer becomes necessary.

Configuration:

{
  "plugins": {
    "entries": {
      "duckduckgo": {
        "config": {
          "webSearch": {
            "region": "us-en",
            "safeSearch": "moderate"
          }
        }
      }
    }
  }
}

SearXNG: Best Free Self-Hosted Option

SearXNG is a free, open-source metasearch engine that aggregates results from multiple backends including Google, DuckDuckGo, and Bing. Self-hosting gives you unlimited queries and complete data privacy, but requires more infrastructure setup than any API-based provider.

What it’s good at:

• Unlimited queries with no per-query cost — ideal for high-volume agents
• Fully private and self-controlled when self-hosted

Where it falls short:

• More setup required compared to API-based options — not beginner-friendly
• Inconsistent result quality depending on which backends are active

💲 Pricing: Free. Only server hosting costs apply.

🔎 Editor’s Take: Ideal for privacy-first teams or high-volume agents with a cost ceiling. Requires DevOps comfort. For everything else, start with Brave.

Setup:

docker run -d -p 8080:8080 searxng/searxng

Then install the skill from ClawHub.

Which OpenClaw Search Provider Should You Use?

No single consensus exists — use case drives everything. As one forum thread put it: “Which one works best for you? Brave, Tavily, SearXNG, Perplexity, Gemini, Grok?” On Reddit, the same debate surfaces around cost: “What are you personally paying in search API tokens?” — and most users report being blindsided by how fast bills compound once agents run autonomously.

Here is where each provider earns its place:

• New setup / testing: Start with DuckDuckGo (no API key needed) or Brave (most documented). Add Tavily once you need better research output.
• Research-heavy agents (competitive intelligence, fact-checking, multi-source synthesis): Tavily as primary provider.
• Already paying for Gemini: Use Gemini search — same API key, no extra subscription.
• Academic or domain-specific research: Perplexity, specifically for domain_filter.
• Social listening or breaking news monitoring: Grok.
• Privacy-first or high-volume with cost constraints: SearXNG for infrastructure you control, or DuckDuckGo for a simpler zero-cost option.

After Search: When Your Agent Needs Structured Data

Every provider on this list solves the same problem: finding pages. None of them solve what comes next.

Think of it this way: when OpenClaw’s web_search finds a competitor’s pricing page, and web_fetch pulls the HTML — someone still has to extract the actual prices, normalize them into rows, handle pagination if there are 50 products, and export a clean file your team can act on. That gap between “retrieved a page” and “have usable data” is exactly where web scraping tools operate.

When your agent searches for competitor pricing, lead lists, or product inventories, it gets back titles and snippets — a starting point, not a dataset. Turning those URLs into structured, analysis-ready data requires a separate extraction layer.

That is where Octoparse fits in — a no-code web scraping platform that handles the extraction step search providers do not touch. For teams using AI assistants like Claude, ChatGPT, or Cursor, Octoparse MCP (Model Context Protocol) bridges the gap: a single natural-language prompt inside your AI assistant can trigger Octoparse extraction tasks across multiple templates simultaneously — pulling competitor pricing, lead lists, and inventory data without leaving the chat.

• Extracts structured data (CSV, JSON, Excel) directly from result pages — see the web scraping API guide for integration options.
• Renders JavaScript-heavy sites that web_fetch cannot handle.
• Bypasses CAPTCHAs and Cloudflare protection automatically.
• Runs bulk scraping and cloud parallel jobs — suitable for high-volume agents. Learn more about AI web scrapers.

OpenClaw Search Provider VS Octoparse

If you’re already running an OpenClaw agent and hitting these limits, the fastest path is to connect Octoparse via MCP — no extra scraper setup required. Start free

Conclusion

Choosing the right OpenClaw search provider depends on your use case. Brave is the safest default — most documented, free tier included. Tavily is the best upgrade for research-heavy workflows that need structured JSON output without extra web_fetch calls. If you already use Gemini for LLM calls, its search integration adds zero extra cost. For domain-specific research, Perplexity‘s domain_filter is unmatched. Grok shines for real-time social media and news monitoring.

None of these providers extract structured data from the pages they find — that is where Octoparse steps in. Pair your OpenClaw web search API with Octoparse to transform search results into clean, analysis-ready datasets. Whether you need the Octoparse API for automated pipelines or the no-code scraper for one-off extraction, the two tools are purpose-built to work together.

FAQs

1. Is there a free OpenClaw search provider?

Yes — several. DuckDuckGo requires no API key and works out of the box (experimental, not recommended for production). Brave includes $5/month in free credit (~1,000 queries). Tavily offers 1,000 free searches/month. SearXNG is completely free when self-hosted, with unlimited queries at server cost only.

2. Does the OpenClaw web search API work without an API key?

Generally no. Without a configured provider key, the OpenClaw web search skill returns a setup error rather than running silently. DuckDuckGo is the one exception — it requires no key because it scrapes public search pages directly rather than calling an official API endpoint.

3. What does OpenClaw web search skill do?

It gives the agent real-time internet access — replacing the need to pre-load all knowledge into the system prompt. The OpenClaw web search skill queries your configured provider, retrieves titles, URLs, and snippets, and makes those results available for the agent to reason over. For full page content, web_fetch is used as a follow-up step. For production-grade structured data extraction, a dedicated tool like Octoparse is needed.

4. Which provider does OpenClaw use by default?

OpenClaw auto-detects based on available environment variables in this order: Brave → Gemini → Grok → Perplexity → Firecrawl → Tavily. The first valid key found is used. If no key is configured, web_search returns an error. Run openclaw doctor after setup to verify connectivity.

5. Can I switch providers mid-project?

Yes. Update the provider value in openclaw.json (or swap the environment variable) and restart your agent. No data migration required — the provider only affects how queries are sent and results returned. Run openclaw doctor after switching to verify connectivity before going live.

6. How does OpenClaw compare to a traditional web scraper?

OpenClaw approaches the web conversationally: you describe what you want in plain English, and the agent figures out how to get it — ideal for ad-hoc, one-off intelligence tasks like monitoring a competitor’s pricing page or summarising a Reddit thread. A dedicated web scraper like Octoparse is purpose-built for structured, repeatable data extraction at scale — reliable for 100+ URLs, JavaScript-heavy sites, and scheduled pipelines that run 24/7. The two are complementary, not competing: use OpenClaw for flexible agent reasoning; use Octoparse when you need clean CSV/JSON output, CAPTCHA bypass, or bulk runs. Many teams use both in the same workflow.

7. What is the Brave Search API and how does it integrate with OpenClaw?

The Brave Search API is an independent, privacy-first search index. In OpenClaw, it is configured as the default OpenClaw search provider by setting BRAVE_API_KEY as an environment variable or specifying it in openclaw.json under tools.web.search.provider. It returns up to 5 results per query (title, URL, snippet) and supports freshness filtering, date ranges, and country/language targeting — making it the most versatile general-purpose option for production agents.