项目地址

GitHub - mendableai/firecrawl: 🔥 Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.

Firecrawl更多是使用在LLM大模型知识库的构建，是大模型数据准备中的一环（在Dify中会接触到）也是作为检索增强生成（Retrieval Augmented Generation）技术，简称 RAG（当前最火热的LLM应用方案）的一环。

在线体验

https://www.firecrawl.dev/

邮箱或其他方式登录后，点击Dashboard

然后可见自己的API Key

分析

1.用Firecrawl的Python SDK举例

使用方法：

1.通过官网进入获取自己的API Key（免费可用500次请求）

2.打开firecrawl中的Python SDK文件夹

可在里面构建.py用于测试的文件（部分test_开头的文件是博主自行构建用于测试的）
 

2.分析搜索地址（请勿大批量爬取影响网站正常运作）

https://re.jd.com/search?keyword=CCD&enc=utf-8

我们可以看到不同关键词搜索会改变地址栏的keyword=CCD，那么我们就可以通过更改地址栏keyword=？来更改网络页面。（可以在在线体验中先测试一下）
简单用代码表示如下

python">    keyword = "Dangerous people"try:# Crawl a website:crawl_status = app.crawl_url(# 京东f'https://re.jd.com/search?keyword={keyword}&enc=utf-8',params={'limit': 10,'scrapeOptions': {'formats': ['markdown', 'html']}},)

3.完整爬虫代码

配置好环境，更换自己的API Key和关键词keyword即可

python">from firecrawl import FirecrawlApp
import json
import urllib.parse
import re
from bs4 import BeautifulSoupdef get_value_in_html(text):"""html取值，通过BeautifulSoup取对应的值"""soup = BeautifulSoup(text, 'html.parser')items = soup.find_all('li', {'clstag': lambda x: x and 'ri_same_recommend' in x})result = []for item in items:# 取img_k类的img标签的src属性作为图片链接pic_img = item.find('div', class_='pic').find('img', class_='img_k')['src']pic_img = f"https:{pic_img}"a_tag = item.find('div', class_='li_cen_bot').find('a')if a_tag is None:continueproduct_link = a_tag['href']price = a_tag.find('div', class_='commodity_info').find('span', class_='price')if price is not None:price = price.text.strip()else:price = ''title = a_tag.find('div', class_='commodity_tit')if title is not None:title = title.text.strip()else:title = ''comment_span = a_tag.find('div', class_='comment').find('span', class_='praise')if comment_span is not None:evaluation = comment_span.text.strip()else:evaluation = ''product_info = {'price': price,'title': title,'evaluation': evaluation}result.append({"pic_img": pic_img,"product_link": product_link,"product_info": product_info})return resultAPI_KEY = "..."
# 用登录后自己的API_KEY
app = FirecrawlApp(api_key=API_KEY)if __name__ == '__main__':# 可更改关键词搜索其他keyword = "Dangerous people"# keyword_encode = urllib.parse.quote(keyword)try:# Crawl a website:crawl_status = app.crawl_url(# 京东热卖f'https://re.jd.com/search?keyword={keyword}&enc=utf-8',params={'limit': 10,'scrapeOptions': {'formats': ['markdown', 'html']}},)# markdown = crawl_status['data'][0]['markdown']# 使用html提取（提取方法用到bs4）html = crawl_status['data'][0]['html']response = {"result_list": get_value_in_html(html)}print(json.dumps(response, ensure_ascii=False))except Exception as e:print(f"链接firecrawl异常:{e}")

4.返回爬取数据

返回json数据如下