--- 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: - DECODO_AUTH_TOKEN env: required: - DECODO_AUTH_TOKEN ---

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.

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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.

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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/"

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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"

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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"

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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"

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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/"

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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/"

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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).