Firecrawl Scraper
ynulihao/AgentSkillOS
Complete knowledge domain for Firecrawl v2 API - web scraping and crawling that converts websites into LLM-ready markdown or structured data.
Web scraping of JavaScript-rendered scientific websites using Firecrawl API
$ npx skills add lamm-mit/scienceclaw --skill firecrawl-scraper -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install lamm-mit/scienceclaw firecrawl-scraper --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/firecrawl-scraper .claude/skills/firecrawl-scraper && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "firecrawl-scraper" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/firecrawl-scraper into .claude/skills/firecrawl-scraper/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "firecrawl-scraper", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/lamm-mit/scienceclaw/tree/main/skills/firecrawl-scraperType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add lamm-mit/scienceclaw --skill firecrawl-scraper -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install lamm-mit/scienceclaw firecrawl-scraper --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/firecrawl-scraper .agents/skills/firecrawl-scraper && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "firecrawl-scraper" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/firecrawl-scraper into .agents/skills/firecrawl-scraper/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "firecrawl-scraper", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add lamm-mit/scienceclaw --skill firecrawl-scraper -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install lamm-mit/scienceclaw firecrawl-scraper --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/firecrawl-scraper .cursor/skills/firecrawl-scraper && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "firecrawl-scraper" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/firecrawl-scraper into .cursor/skills/firecrawl-scraper/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "firecrawl-scraper", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/lamm-mit/scienceclaw.git --path skills/firecrawl-scraper--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add lamm-mit/scienceclaw --skill firecrawl-scraper -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install lamm-mit/scienceclaw firecrawl-scraper --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/firecrawl-scraper .gemini/skills/firecrawl-scraper && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "firecrawl-scraper" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/firecrawl-scraper into .gemini/skills/firecrawl-scraper/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "firecrawl-scraper", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install lamm-mit/scienceclaw firecrawl-scraperInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add lamm-mit/scienceclaw --skill firecrawl-scraper -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/firecrawl-scraper .github/skills/firecrawl-scraper && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "firecrawl-scraper" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/firecrawl-scraper into .github/skills/firecrawl-scraper/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "firecrawl-scraper", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add lamm-mit/scienceclaw --skill firecrawl-scraper -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install lamm-mit/scienceclaw firecrawl-scraper --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/firecrawl-scraper .opencode/skills/firecrawl-scraper && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "firecrawl-scraper" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/firecrawl-scraper into .opencode/skills/firecrawl-scraper/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "firecrawl-scraper", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
firecrawl-scraperWeb scraping of JavaScript-rendered scientific websites using Firecrawl API
Firecrawl Scraper is an agent skill from lamm-mit/scienceclaw. Web scraping of JavaScript-rendered scientific websites using Firecrawl API
Its SKILL.md is about 430 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts (for example `scripts/firecrawl_scrape.py`).
It sits in Data & Analytics, covering Web scraping. It works with Firecrawl and JavaScript. The licence is Apache-2.0.
Read from SKILL.md and the folder at commit ab9aba1. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3From the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
uniprot.orgrcsb.orgbiorxiv.orgAlso links to:
firecrawl.devFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
FIRECRAWL_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Firecrawl Scraper loads about 425 tokens when it runs. Until then it costs about 23 tokens; SKILL.md has 80 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from lamm-mit/scienceclaw at commit ab9aba1, republished under its Apache-2.0 licence (© lamm-mit). 80 words, ~425 tokens.
.claude/skills/firecrawl-scraper/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.Web scraping using the Firecrawl API for JavaScript-rendered scientific websites, database pages, and literature sources. Returns clean Markdown content optimized for LLM processing. Handles dynamic content, authentication flows, and complex single-page applications that static scrapers cannot access.
Particularly useful for scraping scientific databases with JavaScript-heavy frontends, preprint servers, supplementary data pages, and research institution websites.
# Scrape a scientific database page as markdown
python3 skills/firecrawl-scraper/scripts/firecrawl_scrape.py --url "https://www.uniprot.org/uniprotkb/P53_HUMAN"
# Scrape and return raw HTML
python3 skills/firecrawl-scraper/scripts/firecrawl_scrape.py --url "https://www.rcsb.org/structure/1TUP" --format html
# Use explicit API key
python3 skills/firecrawl-scraper/scripts/firecrawl_scrape.py \
--url "https://www.biorxiv.org/content/10.1101/2024.01.01.000001" \
--api-key fc-yourkey123 \
--format markdown{
"url": "https://www.uniprot.org/uniprotkb/P53_HUMAN",
"content": "# Cellular tumor antigen p53\n\n**Organism:** Homo sapiens...",
"format": "markdown",
"title": "P53_HUMAN - Cellular tumor antigen p53",
"links": [
"https://www.uniprot.org/uniprotkb/P04637",
"https://www.rcsb.org/structure/2OCJ"
]
}Set your Firecrawl API key as an environment variable:
export FIRECRAWL_API_KEY=fc-yourkey123Or pass it directly via --api-key. Get a key at https://firecrawl.dev.
© lamm-mit, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 2 other files (scripts) in skills/firecrawl-scraper of lamm-mit/scienceclaw.
Open the folder on GitHubat commit ab9aba1
Firecrawl Scraper next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Firecrawl Scraper this skilllamm-mit/scienceclaw | 244 | — | ~425 | Automated safety check: Pass | Apache-2.0 | |
| Firecrawl Scraperynulihao/AgentSkillOS | 617 | 1 repos | ~4.1k | Automated safety check: Notes | MIT | |
| Firecrawl Scrapersecondsky/claude-skills | 227 | 1 repos | ~1.9k | Automated safety check: Notes | MIT | |
| Firecrawlaiskillstore/marketplace | 430 | 1 repos | ~2.6k | Automated safety check: Pass | None | |
| Web Scrapingplatonai/Browser4 | 1.2k | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Selenium Opinion Crawler123321kk/opinion-agent-ultimate | 107 | — | ~631 | Automated safety check: Pass | None |
ynulihao/AgentSkillOS
Complete knowledge domain for Firecrawl v2 API - web scraping and crawling that converts websites into LLM-ready markdown or structured data.
secondsky/claude-skills
Firecrawl v2.5 API for web scraping/crawling to LLM-ready markdown.
aiskillstore/marketplace
Firecrawl handles all web operations with superior accuracy, speed, and LLM-optimized output.
platonai/Browser4
Extracts data from web pages using browser automation and CSS/JavaScript selectors.
123321kk/opinion-agent-ultimate
browser-based page capture and text extraction for public-opinion research.
einverne/dotfiles
Browser automation, debugging, and performance analysis using Puppeteer CLI scripts.
lamm-mit/scienceclaw
Query FRED (Federal Reserve Economic Data) API for 800,000+ economic time series from 100+ sources.
lamm-mit/scienceclaw
Generates comprehensive drug research reports with compound disambiguation, evidence grading, and mandatory completeness sections.
lamm-mit/scienceclaw
Query and download public cancer imaging data from NCI Imaging Data Commons using idc-index.
lamm-mit/scienceclaw
Cloud-based quantum chemistry platform with Python API. An agent skill from lamm-mit/scienceclaw.
lamm-mit/scienceclaw
Create professional infographics using Nano Banana Pro AI with smart iterative refinement.
lamm-mit/scienceclaw
Generate comprehensive disease research reports using 100+ ToolUniverse tools.
Works with
Categories
Web scraping of JavaScript-rendered scientific websites using Firecrawl API. Firecrawl Scraper is an agent skill from lamm-mit/scienceclaw.
Firecrawl Scraper fits situations like: tasks that involve Web scraping.
Run `npx skills add lamm-mit/scienceclaw --skill firecrawl-scraper -a claude-code`. Or copy the skill folder (skills/firecrawl-scraper in lamm-mit/scienceclaw) into .claude/skills/firecrawl-scraper in your project. Claude Code loads it when a task matches its description.
Run `npx skills add lamm-mit/scienceclaw --skill firecrawl-scraper -a codex`. Or copy the skill folder (skills/firecrawl-scraper in lamm-mit/scienceclaw) into .agents/skills/firecrawl-scraper in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add lamm-mit/scienceclaw --skill firecrawl-scraper -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/firecrawl-scraper, .gemini/skills/firecrawl-scraper, .github/skills/firecrawl-scraper and .opencode/skills/firecrawl-scraper in your project.
Going by SKILL.md and its folder, Firecrawl Scraper needs Python for the scripts in its folder, the command-line tools its instructions call (python3) and credentials named FIRECRAWL_API_KEY. Our summary lists: Python 3; A credential in FIRECRAWL_API_KEY.
SKILL.md names 4 domains. In commands or code: uniprot.org, rcsb.org and biorxiv.org; the agent is likely to contact these when it follows the instructions. As links in the text: firecrawl.dev. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Firecrawl Scraper is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 425 tokens (SKILL.md is roughly 1.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Firecrawl Scraper: Firecrawl Scraper (ynulihao/AgentSkillOS, 617 stars), Firecrawl Scraper (secondsky/claude-skills, 227 stars), Firecrawl (aiskillstore/marketplace, 430 stars) and Web Scraping (platonai/Browser4, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
lamm-mit (a GitHub user) maintains it in lamm-mit/scienceclaw, which has 244 GitHub stars. The repository holds 85 skills in this directory. The repository was last updated on August 21, 2026.
Source: lamm-mit/scienceclaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.