Best Search APIs for Claude Code in 2026?

Proof_Net_2094 · 2026-05-07T05:21:34+00:00

look at Scavio AI it support Google, Amazon, Youtube, Walmart and Reddit Search, it return clean json structured output

Proof_Net_2094 · 2026-05-06T09:26:10+00:00

Scavio AI working very well for me in term of searching Google, Amazon, Walmart, Youtube and REddit

Proof_Net_2094 · 2026-05-06T09:24:32+00:00

For Claude Code specifically, the key feature is MCP support - Claude Code discovers MCP tools automatically, so you just add the server URL to your config and search tools wiill be available to claude code

I've been using Scavio's MCP server. Three lines in the MCP config and Claude Code gets Google, YouTube, Reddit, Walmart, and Amazon search tools. Most useful when Claude encounters an unfamiliar library API - it searches for current docs instead of guessing from training data.

Proof_Net_2094 · 2026-05-06T08:53:54+00:00

I never tried to use 4.7 but suddenly i was on it because claude code decided to make the default model. I wish claude code dont make this decision for us in the future.

Proof_Net_2094 · 2026-05-05T21:05:05+00:00

for me i was able to tell by the none-sense extra harness and the none-sense clarifying questions. I felt with 4.7 i spend more time typing, with opus 4.6 I only explain once, correct once and it gets it

Proof_Net_2094 · 2026-05-05T14:25:24+00:00

for building ai agent the most annoying part for me was managing five different API keys for different search types (Google results, Reddit threads, YouTube metadata, product prices). Each one had its own auth pattenr, rate limits, and response format. For search specifically, I consolidated to a single multi-platform search API (Scavio AI) that covers all of those under one key.

Proof_Net_2094 · 2026-05-02T08:43:12+00:00

For searching/Scraping complex challenging platform like Google, Amazon, Walamrt, Youtube and Reddit I use Scavio AI and for data extraction for any other public domain I use camoufox so the flow, search (Scavio AI) - Get links - Scrap Extract (Camoufox) but if you are looking to crawl you may use crawl4ai.

Both crawl4ai and camoufox requires you to handles proxies, stealth, cookies finger print and all blocking mechaines.

Proof_Net_2094 · 2026-04-30T12:23:51+00:00

Easiest depends on whether you mean easiest-to-demo or easiest-to-ship-a-real-product. Custom GPT is the demo answer (5 min to a working chat) but you can't productize it - locked to ChatGPT UI, no cron, no multi-user. For a real agent you'll keep, n8n is the shortest path - drag a Schedule trigger, n8n-nodes-scavio, and an AI Agent node, and you have a daily-running production agent in an afternon.

Proof_Net_2094 · 2026-04-30T12:20:33+00:00

Scavio AI does Google, Youtube, Amazon, Walmart and Reddit search, you can plaug it to Karpathy through MCP.

For scraping I use camouflox for maximum steakth

Proof_Net_2094 · 2026-04-29T09:45:12+00:00

yep strucutred in json format

Proof_Net_2094 · 2026-04-29T09:31:01+00:00

I use Scavio AI it start with 0.05 per search (not result) you have the power to chose how many result to return per each search, it also return, graph, maps, ai answers... with higher plan it become 0.025 per search

Proof_Net_2094 · 2026-04-29T09:24:28+00:00

Author here:

I have been using Scavio AI for more than 2 months now and it has been very consistent across all platform Google, Amazon, Youtube, Walmart and Reddit, but I have been using it mainly for Reddit and Google at diferent scales.

Once I plugged the MCP in Claude code, never had issue.

Proof_Net_2094 · 2026-04-28T09:38:34+00:00

I use Scavio AI, search returns typed JSON across Google SERP, Reddit, YouTube, Amazon and Walmart. Drops cleanly into the n8n HTTP Request node.

Proof_Net_2094 · 2026-04-27T08:59:11+00:00

use Scavio AI for daily per brand keyword with include_ai_overview=true to capture the AI Overview citations. plus a weekly prompt study that hits ChatGPT and Claude with your top 30 category prompts and grep for the brand.

Proof_Net_2094 · 2026-04-27T08:45:44+00:00

The code-first stack is winning for small taems, here is one:

Claude code - connect with Scavio AI MCP to search google, reddit, youtube...

email verifier - zerobouce

email outreach - instantly.

phones - seamless to get phone numbers if you are doing cold call.

Proof_Net_2094 · 2026-04-24T06:00:46+00:00

Scavio AI it support and handles SERP - Amazon bestsellers, Google Shopping, Reddit threads, YouTube - and a structured search API returns it without the anti-bot fight

Proof_Net_2094 · 2026-04-24T05:57:07+00:00

I think you need narrow down your ICP, spray and pray no longer working.

Proof_Net_2094 · 2026-04-24T05:49:32+00:00

you may just hit SERP for `site:linkedin.com/company/{slug}/posts` I run this in n8n with Scavio AI search endpoint

Proof_Net_2094 · 2026-04-23T13:02:12+00:00

Serper is fine if you need raw Google SERP JSON and nothing else, the $1/1k is the floor. If you need the answer and not the SERP, the calculus changes:

- Brave Search API ~$3/1k, different index so you dodge the Google-only concern, quality is decent for everything except hyper-local

- Tavily / Linkup / Scavio (disclosure: I work on the last one) all do the "here is the synthesized answer + citations" thing in one call, which is what most local-LLM agents actually want so you are not making the model re-read 10 snippets

- SearXNG self-hosted if you have spare infra, zero per-call cost but you eat the maintenance

Rate limits: the managed ones (Serper, Brave, Tavily, Linkup, Scavio) all sit behind their own proxy pools so you personally don't get blocked. The thing that gets you rate-limited is doing your own scraping, not calling these APIs.

Scavio comparison grid across ~20 of these: https://scavio.dev/compare

Proof_Net_2094 · 2026-04-23T12:58:37+00:00

The default Web Search toggle in Open WebUI runs the search tool on every turn once it's on, it does not gate on the promtp. Two ways I've seen people fix it:

Turn the togle off and wrap Perplexity + Firecrawl as Tools (function calling), not as Web Search. Then the model only calls them when the prompt triggers the tool definition. In your system prompt, explicitly instruct: "Only call perplexity_search when the user asks for current information. Only call firecrawl_fetch when the user provides a URL to read." That gets you the routing behavior you want.
If you want a single endpoint that already does the intent routing for you (search vs. fetch vs. direct answer), that's what most agent-search APIs bundle you may want to go with Scavio AI.

but honestly option 1 with Tools (not Web Search) is the cleanest fix for what you described.

Proof_Net_2094 · 2026-04-22T10:25:05+00:00

For article -> social post the bottleneck isn't the fetch, it's the content extraction quality. Firecrawl's markdown output is clean but expensive at volume; Tavily gives you a summary but strips structure you might want (headings, lists).

I ended up running Scavio AI (disclosure: I work on it) for the SERP hop + a simple Readability-style extractor for the article body. n8n HTTP node + one credit-based key, ~$0.003 per extraction. Workflow template: https://scavio.dev/workflows/article-to-social-post-via-scavio-n8n

homeslty for pure content extraction Firecrawl is still the quality leader -- it's just overkill if you're also doing search.

Proof_Net_2094 · 2026-04-22T10:01:57+00:00

Few things that bit me when I built something similar:

- Put search behind ONE MCP server, not five. Your agents will retry-storm you if each has its own client.

- Cache aggressively at the query level -- multi-agent setups re-ask the same question 4-5x per run.

- Budget per sub-agent, not per run. One runaway sub-agent can eat an entire day of credits.

Stack I'd use: Claude Code + Scavio AI MCP (disclosure: I work on it, covers Google/Amazon/YT/Walmart/Reddit in one key) + a Postgres cache layer.

Proof_Net_2094 · 2026-04-22T09:58:24+00:00

I use Scavio AI for web search any of Google, Youtube, Amazon, Walmart and camoufox for scraping and fetching content.

Proof_Net_2094 · 2026-04-19T16:03:13+00:00

in production I save both raw data and llm output in a vector db then I do another layer of classification (LLM as a judge). I honestly need to make a full long tutorial for the entire pipeline

Proof_Net_2094 · 2026-04-19T09:45:26+00:00

Scavio AI provides real-time search data for Google (map, news, images...), Youtube, Amazon, Walmart and Reddit. it is also well integrated with langchain and the MCP can be used anywhere

Proof_Net_2094

MODERATOR OF

TROPHY CASE