- name
- decodo-scraper
- description
- Search Google, scrape web pages, Amazon product pages, YouTube subtitles, or Reddit (post/subreddit) using the Decodo Scraper OpenClaw Skill.
- homepage
- https://decodo.com
- credentials
- env
- required
Decodo Scraper OpenClaw Skill
Use this skill to search Google, scrape any URL, or fetch YouTube subtitles via the Decodo Web Scraping API. Search outputs a JSON object of result sections; Scrape URL outputs plain markdown; Amazon and Amazon search output parsed product-page or search results (JSON). Amazon search uses --query. YouTube subtitles outputs transcript/subtitles. Reddit post and Reddit subreddit output post/listing content (JSON).
Authentication: Set DECODO_AUTH_TOKEN (Basic auth token from Decodo Dashboard → Scraping APIs) in your environment or in a .env file in the repo root.
Errors: On failure the script writes a JSON error to stderr and exits with code 1.
Tools
1. Search Google
Use this to find URLs, answers, or structured search results. The API returns a JSON object whose results key contains several sections (not all may be present for every query):
| Section | Description |
|---|---|
organic | Main search results (titles, links, snippets). |
ai_overviews | AI-generated overviews or summaries when Google shows them. |
paid | Paid/sponsored results (ads). |
related_questions | “People also ask”–style questions and answers. |
related_searches | Suggested related search queries. |
discussions_and_forums | Forum or discussion results (e.g. Reddit, Stack Exchange). |
The script outputs only the inner results object (these sections); pagination info (page, last_visible_page, parse_status_code) is not included.
Command:
python3 tools/scrape.py --target google_search --query "your search query"Examples:
python3 tools/scrape.py --target google_search --query "best laptops 2025"
python3 tools/scrape.py --target google_search --query "python requests tutorial"Optional: --geo us or --locale en for location/language.
2. Scrape URL
Use this to get the content of a specific web page. By default the API returns content as Markdown (cleaner for LLMs and lower token usage).
Command:
python3 tools/scrape.py --target universal --url "https://example.com"Examples:
python3 tools/scrape.py --target universal --url "https://example.com"
python3 tools/scrape.py --target universal --url "https://news.ycombinator.com/"3. Amazon product page
Use this to get parsed data from an Amazon product (or other Amazon) page. Pass the product page URL as --url. The script sends parse: true and outputs the inner results object (e.g. ads, product details, etc.).
Command:
python3 tools/scrape.py --target amazon --url "https://www.amazon.com/dp/PRODUCT_ID"Examples:
python3 tools/scrape.py --target amazon --url "https://www.amazon.com/dp/B09H74FXNW"4. Amazon search
Use this to search Amazon and get parsed results (search results list, delivery_postcode, etc.). Pass the search query as --query.
Command:
python3 tools/scrape.py --target amazon_search --query "your search query"Examples:
python3 tools/scrape.py --target amazon_search --query "laptop"5. YouTube subtitles
Use this to get subtitles/transcript for a YouTube video. Pass the video ID (e.g. from youtube.com/watch?v=VIDEO_ID) as --query.
Command:
python3 tools/scrape.py --target youtube_subtitles --query "VIDEO_ID"Examples:
python3 tools/scrape.py --target youtube_subtitles --query "dFu9aKJoqGg"6. Reddit post
Use this to get the content of a Reddit post (thread). Pass the full post URL as --url.
Command:
python3 tools/scrape.py --target reddit_post --url "https://www.reddit.com/r/SUBREDDIT/comments/ID/..."Examples:
python3 tools/scrape.py --target reddit_post --url "https://www.reddit.com/r/nba/comments/17jrqc5/serious_next_day_thread_postgame_discussion/"7. Reddit subreddit
Use this to get the listing (posts) of a Reddit subreddit. Pass the subreddit URL as --url.
Command:
python3 tools/scrape.py --target reddit_subreddit --url "https://www.reddit.com/r/SUBREDDIT/"Examples:
python3 tools/scrape.py --target reddit_subreddit --url "https://www.reddit.com/r/nba/"Summary
| Action | Target | Argument | Example command |
|---|---|---|---|
| Search | google_search | --query | python3 tools/scrape.py --target google_search --query "laptop" |
| Scrape page | universal | --url | python3 tools/scrape.py --target universal --url "https://example.com" |
| Amazon product | amazon | --url | python3 tools/scrape.py --target amazon --url "https://www.amazon.com/dp/B09H74FXNW" |
| Amazon search | amazon_search | --query | python3 tools/scrape.py --target amazon_search --query "laptop" |
| YouTube subtitles | youtube_subtitles | --query | python3 tools/scrape.py --target youtube_subtitles --query "dFu9aKJoqGg" |
| Reddit post | reddit_post | --url | python3 tools/scrape.py --target reddit_post --url "https://www.reddit.com/r/nba/comments/17jrqc5/..." |
| Reddit subreddit | reddit_subreddit | --url | python3 tools/scrape.py --target reddit_subreddit --url "https://www.reddit.com/r/nba/" |
Output: Search → JSON (sections). Scrape URL → markdown. Amazon / Amazon search → JSON (results e.g. ads, product info, delivery_postcode). YouTube → transcript. Reddit → JSON (content).