PaLM API vs Spider Cloud

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

Analysis reviewed Live tool data as of 2026-10-09
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At a glance

DimensionPaLM APISpider Cloud
Primary purposeLLM API for text/code generation, chat, classificationWeb crawling/scraping API for AI agent data retrieval
Core featureText generation, code, summarization, Q&A, fine-tuningFast crawling, structured output, AI extraction, Browser AI commands
Best forGoogle Cloud ecosystem, enterprise safety, conversational AIRAG pipelines, AI agents needing live web data, high-volume scraping
IntegrationsGoogle Cloud, Workspace, Vertex AILangChain, LlamaIndex, CrewAI, S3, GCS, Supabase, etc.
Latest newsNo recent updates (news from 2026 unrelated to PaLM)Browser AI commands, scraper catalog, data connectors (Feb-Mar 2026)
PaLM API
PaLM API

Google's developer gateway to its large language models, launched March 2023 with the PaLM API and MakerSuite prototyping tool.

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Spider Cloud
Spider Cloud

Spider Cloud is a web scraping and crawling API that turns live pages into markdown or JSON for agents and RAG pipelines.

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Pricing
Freemium
Freemium
Plans
$0/mo
Per-token pricing
$1/GB + $0.0001/CPU-min
From $6/mo
From $40/mo
Custom
Popularity
4 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
APIWeb
WebAPIPluginCLIDesktop
Categories
⚛️ Foundation Models & LLM APIs
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
Text generation through the PaLM API
Efficient language model available at launch, with other sizes announced to follow
MakerSuite visual prototyping for prompts
Prompt engineering workflows
Synthetic data generation
Custom-model tuning on your own data
Safety controls and content filtering
Foundation models for text and image generation via Vertex AI
Model discovery, prompt creation and deployment in Vertex AI
Fine-tuning on your own data on Google Cloud
Generative AI App Builder for chat interfaces and digital assistants
Out-of-the-box search experiences tied to conversational AI flows
Smart Compose in Gmail
Auto-generated summaries in Google Docs
Draft generation in Gmail and Docs from a typed topic
Scrape a single page into markdown, JSON, HTML, raw text, or plain text
Crawl entire sites with each page streamed as one JSONL line in order the moment it finishes
Web search endpoint returns SERP results plus the scraped pages behind them in one call
Custom browser renders like a user: scripts run, lazy images load, infinite scroll completes
Unblocker loads protected pages through a real browser engine with geo checks and a 200
Browser Cloud runs full sessions 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 the 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
Requests stream back as they land, in order, without waiting for the last URL
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
Integrations
Google Cloud
Vertex AI
Gmail
Google Docs
Google Workspace
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: PaLM API 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.

PaLM API

16 mentions across 2 sources · 20% positive — critical (averaged across 2 sources)

Hacker News, Lemmy

What users praise

  • • Access to Google's PaLM 2 and Gemini models in one API.
  • • Strong safety controls and content filtering promised by Google.
  • • Integration with Google Cloud and Workspace ecosystem.
  • • Covers a wide range of NLP tasks including code generation.

What frustrates them

  • • Very little community discussion or real user feedback available.
  • • Launched later than OpenAI, ceding early market advantage.
  • • Pricing transparency unclear beyond free tier.
  • • Limited integrations compared to competitors like OpenAI.

Researched Jul 3, 2026

Spider Cloud

No verifiable community signal. We scanned public discussion on Oct 7, 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

  • AI agent developer building a research assistant
    Pick: Spider Cloud

    Spider Cloud provides the web crawling and structured data extraction (markdown, JSON) needed to fetch real-time information for the assistant, with Browser AI commands for interactive tasks.

  • Enterprise developer deploying a customer support chatbot
    Pick: PaLM API

    PaLM API offers strong safety controls, integration with Google Cloud and Workspace, and fine-tuning capabilities to create a compliant, company-branded conversational AI.

  • RAG pipeline engineer needing up-to-date web context
    Pick: Spider Cloud

    Spider Cloud's fast crawling, direct integrations with LangChain/LlamaIndex, and data connectors to GCS/S3 make it ideal for feeding fresh data into a RAG system.

  • Solo founder building a code generation tool
    Pick: PaLM API

    PaLM API includes code generation and explanation features, and MakerSuite allows rapid prototyping without heavy infrastructure setup.

Frequently Asked Questions

Can I use PaLM API to scrape websites?

No, PaLM API is an LLM API for text generation and understanding, not web scraping. For scraping, use Spider Cloud.

Does Spider Cloud provide LLM capabilities?

No, Spider Cloud focuses on web data extraction. It does not generate text or code like an LLM. It can be paired with PaLM API or other LLMs.

What is the pricing for PaLM API?

PaLM API is pay-as-you-go via Google Cloud. Exact rates depend on the model (PaLM 2, Gemini) and usage tier. A free tier with limited requests is available.

How cost-effective is Spider Cloud?

Very cost-effective: average $0.03 per 1,000 pages, with no charge for failed requests. Free tier includes 100 pages/month.

Can I use both tools together?

Yes, they are complementary. Use Spider Cloud to fetch and structure web data, then feed it to PaLM API for analysis, summarization, or question answering.

Which tool has better safety features?

PaLM API has built-in safety controls and content filtering, important for enterprise compliance. Spider Cloud focuses on data extraction, not content safety.

Does Spider Cloud support captcha solving?

Yes, Spider Cloud's Silk custom AI model handles captcha solving and extraction on complex pages.

Does PaLM API support fine-tuning?

Yes, PaLM API allows fine-tuning with custom data for domain-specific use cases.

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Last reviewed: July 3, 2026