Skill: donatasdecodo/decodo-scraper-skill (version 1.1.0)

--- 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](https://help.decodo.com/docs/web-scraping-api-google-search). **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:** ```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. --- ### 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/" ``` --- ### 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" ``` --- ### 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" ``` --- ### 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" ``` --- ### 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/" ``` --- ### 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/" ``` --- ## 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).

path: requirements.txt
content: requests>=2.28.0
python-dotenv>=1.0.0


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (HIGH)