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Awesome GitHub RepositoriesHTTP Control Interfaces

RESTful interfaces used to trigger and monitor the status of crawler tasks.

Distinct from Distributed Crawler Orchestrators: Focuses on the control interface for a single crawler instance rather than distributed coordination across environments.

Explore 3 awesome GitHub repositories matching web development · HTTP Control Interfaces. Refine with filters or upvote what's useful.

Awesome HTTP Control Interfaces GitHub Repositories

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  • builderio/gpt-crawlerBuilderIO 的头像

    BuilderIO/gpt-crawler

    22,248在 GitHub 上查看↗

    gpt-crawler is a web scraping utility designed to extract website content and convert it into structured text files for use as AI model knowledge bases. It functions as a data generator that crawls specified web addresses to produce the knowledge files required for building custom GPTs, grounding large language models, and providing context to AI agents. The system transforms raw HTML into clean Markdown text to reduce token usage and improve readability for AI models. It utilizes token-aware content chunking and output file size limitations to ensure generated datasets remain compatible with

    Exposes a REST interface to remotely trigger and monitor scraping tasks.

    TypeScript
    在 GitHub 上查看↗22,248
  • dataabc/weibo-crawlerdataabc 的头像

    dataabc/weibo-crawler

    4,541在 GitHub 上查看↗

    这是一个新浪微博网页爬虫和社交媒体数据管道,旨在提取用户资料、帖子、评论和多媒体资源。它作为一个容器化的数据爬虫,自动化收集社交媒体内容和互动指标,并将其存储在本地。 该系统包含一个处理层,利用大语言模型分析抓取的文本,生成摘要和情感分析。它通过一个部署就绪的容器模型脱颖而出,该模型具有用于管理提取任务和监控作业进度的 HTTP 界面。 该爬虫涵盖了广泛的功能,包括通过定时增量更新进行社交媒体监控、将多媒体资源归档到本地磁盘,以及向平面文件或数据库进行多格式数据导出。它还能捕获详细的社交互动,如一级评论和转发。

    Ships a RESTful interface used to trigger crawling jobs and monitor their execution progress.

    Pythoncrawlerweiboweibo-spider
    在 GitHub 上查看↗4,541
  • automatic-ripping-machine/automatic-ripping-machineautomatic-ripping-machine 的头像

    automatic-ripping-machine/automatic-ripping-machine

    4,595在 GitHub 上查看↗

    Automatic Optical Disc Ripping Server is a headless system that detects inserted CDs, DVDs, and Blu-rays to automatically extract media, transcode video, and eject discs. It functions as a multi-drive media digitizer using a concurrent processing pipeline to rip and transcode media from several optical drives simultaneously without queuing. The system includes an asynchronous video transcoding pipeline that batches conversion tasks to run during scheduled off-peak hours. It also serves as a media server automation tool, fetching metadata from online APIs to name folders and trigger library re

    Exposes an HTTP API for monitoring and controlling rip jobs, logs, and configuration on a headless server.

    Pythonautomaticblu-raycd
    在 GitHub 上查看↗4,595
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  4. HTTP Control Interfaces