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apify-scraper蜜蜂刮刀

Agent Skill

apify-scraper 用于处理浏览器自动化、网页检查和页面信息提取,适合在 OpenClaw 中需要让 Agent 打开页面、读取网页或验证前端流程时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

6,625

周安装

268

GitHub Stars

公开资料未说明

下载量

2,080
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:apify-scraper(蜜蜂刮刀)
来源仓库:https://github.com/nissan/apify-scraper
安装命令:
openclaw skills install apify-scraper
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install apify-scraper

简介

突破反机器人机制抓取 Twitter/X、Reddit 等平台内容。

  • 适用于被标准 web_fetch 拦截的网站数据提取。
  • 支持线程、评论与搜索结果等高价值信息捕获。
  • 安装命令:openclaw skills install apify-scraper。
  • 使用时请尊重网站 robots.txt 与使用条款。

SKILL.md

name
apify-scraper
version
1.0.0
description
Scrape content from sites that block bots — Twitter/X threads, Reddit, LinkedIn, YouTube comments, Google SERP, and more. Use when standard web_fetch is blocked and you need full thread/comment data. Requires APIFY_API_KEY.
metadata

Apify Scraper Skill

Use this skill when you need to scrape content from sites that block bots — Twitter/X threads, Reddit, LinkedIn, YouTube comments, Google SERP, Amazon, Product Hunt, etc.

When to Use

  • A Twitter/X URL is shared and you need the full thread (not just the first tweet)
  • You need Reddit thread content without the expensive API
  • LinkedIn company/profile data is needed
  • YouTube comments or video metadata beyond what the API gives
  • Google search results programmatically
  • Any site that blocks standard web_fetch

Do NOT use for: sites accessible via normal web_fetch or web_search. Apify costs credits — use it only when needed.

Setup

  • API Key: op://OpenClaw/Apify API Credentials/credential (also in gateway plist as APIFY_API_KEY)
  • Dashboard: https://console.apify.com (account: redditech)
  • Plan: FREE ($5/mo credit)
  • Script: python3 scripts/apify-run.py <actor> <input_json>

Running an Actor

python3 /Users/loki/.openclaw/workspace/scripts/apify-run.py \
  "apidojo/tweet-scraper" \
  '{"twitterHandles": ["solanamobile"], "maxItems": 50}'

Key Actors

Twitter/X

  • apidojo/tweet-scraper — $0.40/1K tweets. Full thread support via conversationIds. Advanced search syntax.
  {"conversationIds": ["2034675043033375103"], "maxItems": 50}

or by handle:

  {"twitterHandles": ["solanamobile"], "maxItems": 20}

Reddit

  • trudax/reddit-scraper-lite — Free tier friendly. Fetch threads + comments.
  {"startUrls": [{"url": "https://reddit.com/r/solana/comments/..."}], "maxItems": 100}

YouTube

  • streamers/youtube-scraper — Comments + metadata.
  {"startUrls": [{"url": "https://youtube.com/watch?v=..."}], "maxComments": 200}

Google SERP

  • apify/google-search-scraper — Search results as structured data.
  {"queries": "solana mobile grants", "maxPagesPerQuery": 1}

LinkedIn

  • anchor/linkedin-profile-scraper — ⚠️ ToS risk. Use sparingly for research only.

Pricing Reference

  • 1 CU = 1 GB RAM × 1 hour
  • Free tier: $5/mo (~16.7 CU)
  • Tweet scraping: ~0.035–0.04 CU/1K tweets (~$0.01/1K on free tier)
  • Some actors charge flat per-result: $0.25–$0.40/1K tweets
  • Check usage: https://console.apify.com/billing

Notes

  • Results are returned as a dataset — the script polls until complete
  • Timeout: 5 minutes default (most actors finish in 30–60s)
  • If an actor breaks (community-maintained), check Apify Store for alternatives
  • MCP integration pending — Apify MCP server exists but openclaw.json doesn't support mcpServers key yet (schema validation rejects it). Use this script approach instead.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

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能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

79.86%
按下载量换算1,661

安全审计

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通过

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通过

Static analysis

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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