Decodo Scraper

# 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: ```bash python3 tools/scrape.py --target google_search --query "your search query" ```

Examples: ```bash 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: ```bash python3 tools/scrape.py --target universal --url "https://example.com" ```

Examples: ```bash 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: ```bash python3 tools/scrape.py --target amazon --url "https://www.amazon.com/dp/PRODUCT_ID" ```

Examples: ```bash 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: ```bash python3 tools/scrape.py --target amazon_search --query "your search query" ```

Examples: ```bash 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: ```bash python3 tools/scrape.py --target youtube_subtitles --query "VIDEO_ID" ```

Examples: ```bash 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: ```bash python3 tools/scrape.py --target reddit_post --url "https://www.reddit.com/r/SUBREDDIT/comments/ID/..." ```

Examples: ```bash 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: ```bash python3 tools/scrape.py --target reddit_subreddit --url "https://www.reddit.com/r/SUBREDDIT/" ```

Examples: ```bash 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).