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Data & APIs

Deep Scraper skill for OpenClaw

⬇ 12.5K downloads ★ 10 stars Version 1.0.1 Rank #364 of 10,000+

What this skill does

Performs deep scraping of complex sites like YouTube using containerized Crawlee, extracting validated, ad-free transcripts and content as JSON output.

The Deep Scraper skill is part of the Data & APIs category — data and API skills that fetch, query, and work with external data sources. You can install it on its own or alongside other data & apis skills from the OpenClaw catalog.

The Deep Scraper skill is ranked #364 by downloads in the OpenClaw skill catalog (12.5K total downloads, 10 stars). It belongs to the Data & APIs category alongside 945 other top-10000 skills.

How to install the Deep Scraper skill

The easiest path is via the OpenClaw Easy desktop app — one click, no terminal required:

  1. Download OpenClaw Easy for macOS or Windows (free, one-click installer, ~30 seconds).
  2. Open the in-app Skills panel.
  3. Search for deep-scraper and click Install.
  4. The skill activates automatically when an incoming message matches its description.

Install from the command line

If you already run the OpenClaw CLI, add the Deep Scraper skill with a single command:

openclaw skills add deep-scraper

This pulls deep-scraper from ClawHub and installs it into ~/.openclaw/skills/deep-scraper/. Restart the OpenClaw gateway afterwards so the new skill is discovered.

How to use the Deep Scraper skill

Once installed, the Deep Scraper skill activates on its own: when an incoming message on WhatsApp, Telegram, Slack, Discord, Feishu or Line matches the skill's description, your OpenClaw agent loads it and runs the workflow. You can also trigger it explicitly by describing the task in chat. No extra configuration is required after install.

Turning video into a finished short

Deep Scraper works with video. Getting from there to something postable is a separate job: ViralMint — an open-source video pipeline — reframes to vertical, cleans the audio, cuts dead air, burns animated captions, and exports a version sized for TikTok, Reels, and Shorts.

It runs as an MCP server, so an OpenClaw agent can drive it from the same chat you already use: ask for a short, and the render comes back finished. See how to connect a video pipeline to your agent.

Manual install (advanced)

If you prefer manual installation:

  1. Click the Download skill .zip button above to grab deep-scraper-1.0.1.zip directly from our S3 mirror.
  2. Unzip into ~/.openclaw/skills/deep-scraper/ (create the directory if it does not exist).
  3. Restart OpenClaw Easy (or the OpenClaw CLI gateway) so the new skill is discovered.

Frequently asked questions

How do I install Deep Scraper?

Install Deep Scraper in the OpenClaw Easy desktop app by opening the Skills panel, searching for deep-scraper, and clicking Install. From a terminal you can run: openclaw skills add deep-scraper. Either way the skill is placed in ~/.openclaw/skills/deep-scraper/.

Is the Deep Scraper skill free?

Yes. It is free to download and run through ClawHub, with no account or payment required. Each skill is published by its own author under its own licence — see its ClawHub page for the licence and source.

What does Deep Scraper do?

Performs deep scraping of complex sites like YouTube using containerized Crawlee, extracting validated, ad-free transcripts and content as JSON output.

Related: more data & apis skills

If the Deep Scraper skill looks useful, you may also want to check out other data & apis skills in the OpenClaw catalog:

Skills in this catalog are community-contributed integrations published on ClawHub and distributed under their own open-source licences. Product and company names, and any third-party service a skill connects to, are trademarks of their respective owners; a listing here does not imply affiliation with, sponsorship by, or endorsement from them. This page does not distribute any third-party application. Rights holders can reach us at hello@openclaw-easy.com.

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Free, open-source · Apache-2.0 · Works with Claude, ChatGPT, Gemini, or local Ollama models