TopK vs Spider Cloud

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-10-18
Cross-checked through our multi-step verification ·
Saved

At a glance

DimensionTopKSpider Cloud
Primary Use CaseSearch and retrieval for AI applicationsWeb crawling and scraping for AI agents
Key FeatureMulti-vector retrieval (SMVE) and hybrid searchBrowser AI commands (Act, Extract, Observe)
LatencySub-100ms at billion-scaleNot specified
Open SourceNoCore open-source on GitHub
Best ForAccuracy-critical search and retrievalData extraction for RAG pipelines

Choose Spider Cloud if your primary need is crawling and scraping the web to feed data into AI agents or RAG pipelines, especially with a tight budget thanks to its free tier and open-source core. Choose TopK if you need a high-performance, accurate search engine over your own data, with hybrid and multi-vector retrieval, and you're willing to pay for enterprise-grade reliability.

Try TopKTry Spider Cloud
TopK
TopK

TopK is a unified retrieval engine that runs multi-vector, dense, sparse, regex, and metadata-filtered search in one query, billed per unit of usage.

Visit Website
Spider Cloud
Spider Cloud

Spider Cloud is a web scraping, crawling, and search API that streams live pages as markdown or JSON for AI agents and RAG pipelines.

Visit Website
Pricing
Paid
Freemium
Plans
$10 in free credits
Pay-as-you-go, billed monthly
Custom
$1/GB + $0.0001/CPU-min
From $6/mo
From $40/mo
Custom
Popularity
2 views
7.5k views
Skill Level
Advanced
Intermediate
API Available
Platforms
WebAPI
WebAPIPluginCLIDesktop
Categories
🗄️ Vector Databases & Retrieval📦 LLM App Frameworks & SDKs
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
Hybrid search combining dense, sparse, late-interaction multi-vector, regex, keyword, and metadata filters in one query
Multi-vector retrieval with late interaction (SMVE)
TopK SQL query language over the Postgres wire protocol for semantic and hybrid search
TopK SQL lets any Postgres client run semantic, hybrid, or filtered retrieval
Regex search accelerated with sparse n-grams
semantic_index annotation ships multi-vector retrieval without a separate embedding pipeline
topk-embed-v1 open-source multimodal multi-vector embedding model
Built-in multi-vector text embeddings billed at $0.05 per 1M tokens
File Search returning grounded answers with precise citations
Agentic File Search with sub-queries and reasoning
Document processing with OCR for PDF, DOCX, image, and text inputs
Custom scoring across multiple ranking signals
Multi-tenant partitioned collections with isolated namespaces
Object-storage architecture scaling to 1B+ documents per partition
Private deployment into your VPC or on-prem
Scrape a single page into markdown, JSON, HTML, raw, or plain text
Crawl entire sites with each page streamed as one JSONL line in order as it finishes
Web search endpoint returns SERP results plus the scraped pages behind them
Custom browser renders like a user: scripts run, lazy images load, infinite scroll reaches the end
Load protected pages through a real browser engine with geo checks, returning a 200
Run full browser sessions over WebSocket with anti-detection and rotating exits
Send AI commands (Act, Extract, Observe) over the Browser API WebSocket
Send a prompt on a scrape or crawl request and get named fields back as JSON
Two-phase AI extraction: a fast model for most pages, a stronger model for complex layouts
Provider router sends scrape and crawl requests to outside providers on your own keys
Data connectors pipe crawl results into S3, GCS, Google Sheets, Azure Blob, or Supabase
Proxy network with 215M+ residential and ISP exits in 199 countries, rotated per request
MCP server at mcp.spider.cloud for Claude Code, Codex, Cursor, and Claude Desktop
1,000+ ready-made scraper examples across 32 categories, each with working code
API responses support JSON, JSONL, CSV, and XML; up to 10,000 core API requests per minute by default
Integrations
PostgreSQL
LangChain
LlamaIndex
CrewAI
FlowiseAI
Langflow
Dify
Agno
MCP
Claude Code
Codex
Cursor
Claude Desktop
Amazon S3
Google Cloud Storage
Google Sheets

What real users say: TopK vs Spider Cloud

Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.

TopK

69 mentions across 4 sources · 0% positive — critical (averaged across 4 sources)

Hacker News, Bluesky, Stack Overflow, Lemmy

What users praise

  • • Claims 10x lower cost with object storage
  • • Unlimited scale with sub-100ms latency at billion-scale
  • • Unified retrieval over structured and unstructured data
  • • Hybrid search with vector, keyword, and custom scoring

What frustrates them

  • • Zero verified user reviews or testimonials
  • • All community data is keyword false positives
  • • Performance claims are unverified in real-world use
  • • No independent benchmarks or case studies

Researched Jul 5, 2026

Spider Cloud

No verifiable community signal. We scanned public discussion on Oct 14, 2026 and found posts matching the name “Spider Cloud”, but could not establish that they are about this product rather than something else sharing its name. Rather than publish a score built on the wrong subject, we publish none.

Who should pick which

  • Solo founder building an AI agent
    Pick: Spider Cloud

    Free tier reduces risk; scraping API easy to integrate with LangChain.

  • Enterprise building a RAG system over internal docs
    Pick: TopK

    Hybrid search and SMVE ensure high accuracy; File Search with citations.

  • Developer needing web scraping for LLM training data
    Pick: Spider Cloud

    1,000+ scraper examples and AI Studio simplify extraction at low cost.

  • Finance team needing accurate query over reports
    Pick: TopK

    TopK's custom scoring and multi-vector retrieval reduce hallucinations.

  • Open-source advocate needing self-hosted scraping
    Pick: Spider Cloud

    Open-source core allows self-hosting with cloud fallback.

Frequently Asked Questions

TopK vs Spider Cloud: which should you choose?

Choose Spider Cloud if your primary need is crawling and scraping the web to feed data into AI agents or RAG pipelines, especially with a tight budget thanks to its free tier and open-source core. Choose TopK if you need a high-performance, accurate search engine over your own data, with hybrid and multi-vector retrieval, and you're willing to pay for enterprise-grade reliability.

Which tool is better for real-time web data?

Spider Cloud, as it specializes in crawling and scraping live web pages for AI agents.

Can TopK scrape websites?

No, TopK is a search/retrieval engine; it does not offer web scraping capabilities.

Does Spider Cloud support vector search?

Not natively; Spider Cloud focuses on extracting structured data, not vector indexing.

Which is cheaper for low-volume use?

Spider Cloud has a free tier; TopK starts at $199/month with no free tier.

Does TopK have any free tier?

No, but it offers a 14-day free trial for paid plans.

Can I self-host Spider Cloud?

Yes, the core is open-source on GitHub, allowing self-hosting.

Is TopK open source?

No, TopK is a proprietary platform.

Which integrates better with AI frameworks?

Both: Spider Cloud integrates with LangChain, LlamaIndex, etc.; TopK has native SDKs (Python, JS, Rust).

More TopK or Spider Cloud comparisons

Vercel vs Spider Cloud comparison

These aren't competitors, so there's no either/or decision here — most teams building agent products end up using both. If your problem is shipping and operating a web app or agent backend, Vercel is

Power BI vs Spider Cloud comparison

These are not competitors. Power BI is a governed BI layer for Microsoft-centric organizations; Spider Cloud is HTTP plumbing that returns rendered web pages to agents and retrieval pipelines. If you

LM Studio vs Spider Cloud comparison

These are not competitors — they are two halves of a stack, and nobody should be choosing one over the other. Pick LM Studio if your problem is where inference runs: you want open models and the Bioni

Amplitude vs Spider Cloud comparison

These are not competitors — don't frame this as a pick-one decision. Spider Cloud is infrastructure you buy to get live web pages into an agent or retrieval pipeline; Amplitude is the analytics layer

Tableau vs Spider Cloud comparison

These aren't competitors — pick based on the problem, not the price. If you need dashboards, governed self-service exploration, and agentic analytics on top of data you already store, Tableau is the b

Looker vs Spider Cloud comparison

These tools are not competitors — they solve different problems for different buyers. Spider Cloud is a developer API for pulling live web data into agents and RAG pipelines, with a freemium entry poi

Explore each tool further

TopK
View TopK reviewTopK alternatives
Spider Cloud
View Spider Cloud reviewSpider Cloud alternatives

Browse these categories

Best AI Vector Databases & Retrieval toolsBest AI Web Scraping & Search APIs toolsBest AI LLM App Frameworks & SDKs toolsBest AI Browser & Computer-Use Agents tools
Still deciding? Get the weekly AI tools brief

One email a week — new tools, honest comparisons, no spam.

Last reviewed: July 3, 2026