From 989f8c91c88c2871fe2e941fdb750ef14ec137e0 Mon Sep 17 00:00:00 2001
From: unclecode <unclecode@kidocode.com>
Date: Sat, 8 Jun 2024 18:50:35 +0800
Subject: [PATCH] Update README

---
 README.md | 21 ++-------------------
 1 file changed, 2 insertions(+), 19 deletions(-)

diff --git a/README.md b/README.md
index 688fd9ac..2e555970 100644
--- a/README.md
+++ b/README.md
@@ -56,7 +56,7 @@ print(response_data['results'][0].keys())
 # 'metadata', 'error_message'])
 ```
 
-To show the simplicity take a look at the first example:
+But you muore control then take a look at the first example of using the Python library.
 
 ```python
 from crawl4ai import WebCrawler
@@ -66,24 +66,7 @@ crawler = WebCrawler()
 
 # Run the crawler with keyword filtering and CSS selector
 result = crawler.run(url="https://www.nbcnews.com/business")
-print(result) # {url, html, markdown, extracted_content, metadata}
-```
-
-If you don't want to install Selenium, you can use the REST API or local server. 
-
-```python
-import requests
-
-data = {
-  "urls": [
-    "https://www.nbcnews.com/business"
-  ],
-  "word_count_threshold": 10,
-  "extraction_strategy": "NoExtractionStrategy",
-}
-
-response = requests.post("https://crawl4ai.com/crawl", json=data) # OR local host if your run locally 
-print(response.json())
+print(result) # {url, html, cleaned_html, markdown, media, links, extracted_content, metadata, screenshots}
 ```
 
 Now let's try a complex task. Below is an example of how you can execute JavaScript, filter data using keywords, and use a CSS selector to extract specific content—all in one go!