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Explore the skillAwesome Web Scraping
lorien
List of libraries, tools and APIs for web scraping and data processing.
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Results: 30
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Explore the skilllorien
List of libraries, tools and APIs for web scraping and data processing.
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Explore the skillunclecode
Open-source LLM-friendly web crawler and scraper for agent workflows.
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Explore the skilldotnetcore
DotnetSpider, a .NET standard web crawling library. It is lightweight, efficient and fast high-level web crawling & scraping framework
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Explore the skillD4Vinci
Adaptive web scraping for agent data collection
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Explore the skillscrapy
Scrapy, a fast high-level web crawling & scraping framework for Python.
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Explore the skilldmlc
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask,…
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Explore the skillcadence-workflow
Cadence is a distributed, scalable, durable, and highly available orchestration engine to execute asynchronous long-running business logic in a scalable and resilient wa…
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Explore the skilladbar
Python & Command-line tool to gather text and metadata on the Web: Crawling, scraping, extraction, output as CSV, JSON, HTML, MD, TXT, XML
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Explore the skillgo-rod
A Chrome DevTools Protocol driver for web automation and scraping.
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Explore the skillSpiderClub
:sparkling_heart: High available distributed ip proxy pool, powerd by Scrapy and Redis
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Explore the skillapify
Crawlee—A web scraping and browser automation library for Node.js to build reliable crawlers. In JavaScript and TypeScript. Extract data for AI, LLMs, RAG, or GPTs. Down…
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Explore the skilloxylabs
Structured data gathering from any website using AI-powered scraper, crawler, and browser automation. Scraping and crawling with natural language prompts. Equip your LLM…
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Explore the skillGradientHQ
Parallax is a distributed model serving framework that lets you build your own AI cluster anywhere
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Explore the skilllorien
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Explore the skilltidyverse
Simple web scraping for R
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Explore the skillsdl60660
Scraping publicly-accessible Letterboxd data and creating a movie recommendation model with it that can generate recommendations when provided with a Letterboxd username