Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/scraperapi/scraperapi-skills/scraperapi-serp-intelligencenpx skills add scraperapi/scraperapi-skills --skill scraperapi-serp-intelligencegit clone --depth 1 https://github.com/scraperapi/scraperapi-skillsWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00167 | $0.03846 |
| Opus 5 | $0.00084 | $0.01923 |
| Sonnet 5 | $0.00033 | $0.00769 |
| Haiku 4.5 | $0.00017 | $0.00385 |
Grade A, and why
scraperapi-serp-intelligence scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 338 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SERP Intelligence
Live SERP landscape analysis powered by ScraperAPI's real-time search data. Answers the question rank trackers can't: what does this SERP actually look like, and what does my position within it mean?
You — Claude — execute the tool calls directly. Do not generate code for the user or explain how they could run these calls themselves. Call the MCP tools, read the results, and report findings. The user wants SERP analysis, not instructions.
Never answer SERP questions from training knowledge. SERP features change constantly by query, location, and device. Always gather live data first, then analyze and synthesize.
MCP Tools Available
| Tool | What it returns |
|---|---|
mcp__ScraperAPIRemote__google_search |
Full structured SERP — organic results, featured snippets, PAA, shopping, knowledge panels, related searches |
mcp__ScraperAPIRemote__google_news |
News results for a query — useful for understanding news pack presence and freshness signals |
mcp__ScraperAPIRemote__google_shopping |
Shopping results and pricing — confirms transactional intent and commercial SERP structure |
mcp__ScraperAPIRemote__scrape |
Full page content for a specific URL — use to read AI Overview citations or examine top-ranking content structure |
Render guidance for scrape
When calling mcp__ScraperAPIRemote__scrape, set render=true and premium=true for any page that requires JavaScript to display content — Google search result pages, LinkedIn profiles, Crunchbase, React/SPA-based sites (e.g. G2 grids). Use standard (no render flags) for static HTML pages: news articles, Wikipedia, company homepages, GitHub, and most /pricing pages.
Structured parser limitations for google_search
The google_search tool returns parsed JSON, not raw HTML. Its parser does not reliably handle all SERP result types. Known gaps:
- Sitelinks blocks — A result with sitelinks (sub-links to Careers, About, Contact, etc.) is typically the #1 organic result for a brand query. The parser often drops it entirely, causing organic positions to start at #4 or #5. This does NOT mean positions 1–3 are occupied by a knowledge panel or other feature — they may simply have been dropped by the parser.
- Knowledge panels — May be partially or fully absent from structured output.
- AI Overviews — May be detected but with empty content (use the scrape fallback in this case).
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 338 lines · 167 tokens per session scan A 1b66ea9e1d6f
scraperapi-serp-intelligence is a skill published in the GitHub repository scraperapi/scraperapi-skills (10 stars, last pushed 25d ago), licensed MIT. It adds 167 tokens to every session and 3,846 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
scrapling-official
Scrape web pages using Scrapling with anti-bot bypass (like Cloudflare Turnstile), stealth headless browsing, spiders framework, adaptive scraping, and JavaScript rendering. Use when asked to scrape, crawl, or extract data from websites; webfetch fails; the site has anti-bot protections; write Python code to…
ketch
Research skill for ketch — a fast stateless CLI for web search, OSS code search, curated library docs, page scraping, and site crawling; an optional MCP server exists for operators who want it, but the CLI is the primary interface. Use when a question needs live sources: 'research X', 'what are people saying about Y'…
browser-automation
Playwright-based browser automation patterns for autonomous web interaction.
web-browse
Drive a headless browser to navigate pages, read content, click, and fill forms — for sites that need JavaScript rendering or interaction beyond a plain HTTP fetch.
ecommerce-full-pipeline
电商运营在开展跨境电商或闲鱼捡漏业务时，若需解决选品难、上架繁琐等痛点，必用此技能！一键打通“爆品挖掘→1688采集→多平台上架→推广文案→短视频生成”全自动流水线，轻松实现端到端自动化，让开店运营效率翻倍。.
browser-scrape
用 AutoCLI 二进制驱动用户已登录的 Chrome 抓取 Twitter/X、知乎、Bilibili、Reddit 等 55+ 站点.