PaLM API vs Spider Cloud
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | PaLM API | Spider Cloud |
|---|---|---|
| Primary purpose | LLM API for text/code generation, chat, classification | Web crawling/scraping API for AI agent data retrieval |
| Pricing | Freemium (usage-based, see Google Cloud pricing) | Freemium (pay-as-you-go, $0.03/1k pages avg) |
| Core feature | Text generation, code, summarization, Q&A, fine-tuning | Fast crawling, structured output, AI extraction, Browser AI commands |
| Best for | Google Cloud ecosystem, enterprise safety, conversational AI | RAG pipelines, AI agents needing live web data, high-volume scraping |
| Integrations | Google Cloud, Workspace, Vertex AI | LangChain, LlamaIndex, CrewAI, S3, GCS, Supabase, etc. |
| Latest news | No recent updates (news from 2026 unrelated to PaLM) | Browser AI commands, scraper catalog, data connectors (Feb-Mar 2026) |
These tools are complementary, not competitors. PaLM API provides the LLM brains (text generation, code, chat), while Spider Cloud supplies the eyes (real-time web data extraction). For an AI agent that needs to search the web and then reason, you likely need both. If you're building a RAG pipeline, Spider Cloud is the scraper; if you're building a chatbot, PaLM API is the model. Buy Spider Cloud if your project demands live web context; buy PaLM API if you need a Google-backed LLM with safety features.
Google's API for text generation with PaLM and Gemini models, plus MakerSuite for prototyping.
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AI web scraping API that turns any site into markdown or JSON for AI agents, pay-as-you-go or flat-rate.
Visit WebsiteWhat 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
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
41 mentions across 2 sources · 10% positive — critical
YouTube, Lemmy
What users praise
- • One endpoint for scraping, crawling, search, and browser automation.
- • Converts sites to markdown, JSON, JSONL, CSV, XML—flexible outputs.
- • Rust engine and stealth browser claim strong anti-bot bypass.
- • Silk AI model handles captchas and HTML-to-structured data on GPUs.
What frustrates them
- • No real user reviews to validate performance or reliability.
- • Brand name confuses with Spider-Man, hurting discoverability.
- • Pricing details are vague—hidden costs may apply.
- • Learning curve for non-developers could be steep.
Researched Aug 18, 2026
Who should pick which
- AI agent developer building a research assistantPick: 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 chatbotPick: 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 contextPick: 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 toolPick: PaLM API
PaLM API includes code generation and explanation features, and MakerSuite allows rapid prototyping without heavy infrastructure setup.
Frequently Asked Questions
PaLM API vs Spider Cloud: which should you choose?
These tools are complementary, not competitors. PaLM API provides the LLM brains (text generation, code, chat), while Spider Cloud supplies the eyes (real-time web data extraction). For an AI agent that needs to search the web and then reason, you likely need both. If you're building a RAG pipeline, Spider Cloud is the scraper; if you're building a chatbot, PaLM API is the model. Buy Spider Cloud if your project demands live web context; buy PaLM API if you need a Google-backed LLM with safety features.
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