Create a web crawler in python to scrape data from the website.
Website URL: https://www.example.com/
```
import requests
from bs4 import BeautifulSoup

url = 'https://www.example.com/'

headers = {
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36'
}

response = requests.get(url, headers=headers)

soup = BeautifulSoup(response.text, 'html.parser')

# get all links on the page
links = []
for link in soup.find_all('a'):
    links.append(link.get('href'))

# get all text on the page
text = soup.get_text()

# print the results
print(links)
print(text)
```

This script uses the requests package to make an HTTP GET request to the URL, with a custom User-Agent header to make it look like we're using a regular web browser. We then use BeautifulSoup to parse the HTML response and extract the links and text on the page.
Complete the following task based on the instruction and optional input provided.### Instruction:
Create a web crawler in python to scrape data from the website.

### Input:
Website URL: https://www.example.com/

### Output:
```
import requests
from bs4 import BeautifulSoup

url = 'https://www.example.com/'

headers = {
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36'
}

response = requests.get(url, headers=headers)

soup = BeautifulSoup(response.text, 'html.parser')

# get all links on the page
links = []
for link in soup.find_all('a'):
    links.append(link.get('href'))

# get all text on the page
text = soup.get_text()

# print the results
print(links)
print(text)
```

This script uses the requests package to make an HTTP GET request to the URL, with a custom User-Agent header to make it look like we're using a regular web browser. We then use BeautifulSoup to parse the HTML response and extract the links and text on the page.