Apify 每月有 4,147,762 次造訪,月增率 +3.9%,定價模式為免費增值、需聯絡報價。Qdrant 每月有 72,992 次造訪,成長率 -38.4%,定價模式為免費增值、需聯絡報價。
Qdrant is an open-source vector search engine and database, written in Rust, for high-performance similarity search in AI applications.
| -4.54萬 (-38.4%) |
| 主要市場與市佔 | 🇺🇸 美國 (22.2%) | 🇮🇳 印度 (46%) |
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| 每月直接造訪 | 181.64萬 | 4.38萬 |
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| 使用者評分 | 4.6 | 4.6 |
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| 支援平台 | 網站 | 網站 |
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一站式雲端平台,執行大量現成網頁擷取工具與 AI 代理
超過十萬個現成擷取器與自動化工具,涵蓋社群媒體、地圖商家、電商、房地產與通用網頁爬取。
把 Apify Actor 直接接進 AI 助手與代理,讓它們能搜尋商店、執行爬蟲,並以工具呼叫取得結構化結果。
平台內建代管代理輪換與反封鎖能力,目標網站加強防護時擷取仍能穩定運作。
開源爬蟲函式庫加上 Python、JavaScript SDK,可用 Playwright、Puppeteer、Selenium 或 Cheerio 打造自訂 Actor。
Qdrant is an open-source vector search engine and database, written in Rust, for high-performance similarity search in AI applications.
Built entirely in Rust with SIMD and a custom Gridstore storage engine for fast, scalable vector search.
Combine dense and sparse vectors in one query, supporting BM25, SPLADE++ and miniCOIL for keyword-plus-vector retrieval.
Store metadata as JSON and apply advanced filters such as nested, text, geo and has_vector, with filters applied during HNSW traversal.
Asymmetric, scalar and binary quantization reduce memory usage by up to 64x while preserving search quality.
免費 / 開源透過 API 提供直接對應 LLM 的 Markdown 轉換,但缺乏 Apify 豐富的現成爬蟲市集。
#3專項更強Automates complex business workflows with AI agents, but is less specialized for raw large-scale web scraping actors.
專項更強Pinecone is a managed vector database and AI knowledge platform for building retrieval-augmented generation (RAG), semantic search, and agent memory. It stores vector embeddings at scale, makes writes searchable within seconds with no index tuning, and keeps p99 latency steady as data grows. Pinecone powers products for more than 10,000 customers and over a million developers worldwide.

採用視覺化點選式擷取工作流程,而不是 Apify 以開發者為核心的 Actor 生態系與雲端執行。
專項更強Automates complex business workflows with AI agents, but is less specialized for raw large-scale web scraping actors.
專項更強Pinecone is a managed vector database and AI knowledge platform for building retrieval-augmented generation (RAG), semantic search, and agent memory. It stores vector embeddings at scale, makes writes searchable within seconds with no index tuning, and keeps p99 latency steady as data grows. Pinecone powers products for more than 10,000 customers and over a million developers worldwide.
專項更強高度專注於現成的社群媒體自動化與潛在客戶開發工作流程,而非一般的網頁擷取。