This OpenClaw skill integrates Decodo's Web Scraping API into any OpenClaw-compatible AI agent or LLM pipeline. It exposes seven tools that agents can call directly:
google_search– query Google Search and receive structured JSON (organic results, AI overviews, paid, related questions, and more)universal– fetch and parse any public webpage, returning clean Markdownamazon– fetch parsed Amazon product-page data (e.g. ads, product info) by product URLamazon_search– search Amazon by query; get parsed results (e.g. results list, delivery_postcode)youtube_subtitles– fetch subtitles/transcript for a YouTube video (by video ID)reddit_post– fetch a Reddit post’s content (by post URL)reddit_subreddit– fetch a Reddit subreddit listing (by subreddit URL)
Backed by Decodo's residential and datacenter proxy infrastructure, the skill handles JavaScript rendering, bot detection bypass, and geo-targeting out of the box.
- Real-time Google Search results scraping
- Universal URL scraping
- Amazon product page parsing (by URL)
- Amazon search (by query)
- YouTube subtitles/transcript by video ID
- Reddit post content by URL
- Reddit subreddit listing by URL
- Structured JSON or Markdown results
- Simple CLI interface compatible with any OpenClaw agent runtime
- Minimal dependencies — just Python with Requests
- Authentication via a single Base64 token from the Decodo dashboard
- Python 3.9 or higher
- Decodo account with access to the Web Scraping API
- OpenClaw installed on your machine
- Clone this repo.
git clone https://github.com/Decodo/decodo-openclaw-skill.git
- Install dependencies.
pip install -r requirements.txt
- Set your Decodo auth token as an environment variable (or create a
.envfile in the project root):
# Terminal
export DECODO_AUTH_TOKEN="your_base64_token"
# .env file
DECODO_AUTH_TOKEN=your_base64_token
This skill ships with a SKILL.md file that defines all tools in the OpenClaw skill format. OpenClaw-compatible agents automatically discover and invoke the tools from this file without additional configuration.
To register the skill with your OpenClaw agent, point it at the repo root — the agent will read SKILL.md and expose google_search, universal, amazon, amazon_search, youtube_subtitles, reddit_post, and reddit_subreddit as callable tools.
Search Google and receive structured JSON. Results are grouped by type: organic (main results), ai_overviews (AI-generated summaries), paid (ads), related_questions, related_searches, discussions_and_forums, and others depending on the query.
python3 tools/scrape.py --target google_search --query "your query"
Fetch and convert any webpage to clean Markdown file:
python3 tools/scrape.py --target universal --url "https://example.com/article"
Fetch parsed data from an Amazon product page (e.g. ads, product details). Use the product URL:
python3 tools/scrape.py --target amazon --url "https://www.amazon.com/dp/B09H74FXNW"
Search Amazon and get parsed results (e.g. results list, delivery_postcode):
python3 tools/scrape.py --target amazon_search --query "laptop"
Fetch subtitles/transcript for a YouTube video (use the video ID, e.g. from ?v=VIDEO_ID):
python3 tools/scrape.py --target youtube_subtitles --query "dFu9aKJoqGg"
Fetch a Reddit post’s content (use the full post URL):
python3 tools/scrape.py --target reddit_post --url "https://www.reddit.com/r/nba/comments/17jrqc5/serious_next_day_thread_postgame_discussion/"
Fetch a Reddit subreddit listing (use the subreddit URL):
python3 tools/scrape.py --target reddit_subreddit --url "https://www.reddit.com/r/nba/"
Decodo Web Scraping API documentation
ClaWHub – OpenClaw skill registry
All code is released under the MIT License.