dji-shell-companies.py

from bs4 import BeautifulSoup
import requests

browserstorage = {
	"fccid.io": {
		"cookies": {
  
		},
		"headers": {
   
		}
	},
	"justia.com": {
		"cookies": {
			
		},

		"headers": {
			
		}
	},
	"faa.gov": {
		"cookies": {
		},

		"headers": {
			
		}
	}
}

def get_faa_remoteid(company_name):
	splitted = company_name.split(" ")

	company_name_clean = ""
	for part in splitted:
		if len(part) > 2:
			company_name_clean = part
			break

	response = requests.get(
		'https://uasdoc.faa.gov/api/v1/publicDOCRev?itemsPerPage=8&pageIndex=0&search=' + company_name_clean,
		cookies=browserstorage.get("faa.gov").get("cookies"),
		headers=browserstorage.get("faa.gov").get("headers")
	)

	got = response.json().get("data")

	if got.get("currentItemCount") == 0:
		return "N"
	else:
		return "Y"

def fccfreqs():
	"""
	Known DJI frequencies:
	- 5ghz OcuSync v2
	lower = "5745.5"
	upper = "5829.5"

	-
	"""
	lower = "5730.5"
	upper = "5844.5"

	known_dji_entities = [
		"SZ DJI TECHNOLOGY CO., LTD",
		"SZ DJI Osmo Technology Co.,Ltd."
	]

	response = requests.get(f"https://fccid.io/frequency.php?lower={lower}&upper={upper}&exact", cookies=browserstorage.get("fccid.io").get("cookies"), headers=browserstorage.get("fccid.io").get("headers"))
	html_content = response.text
	soup = BeautifulSoup(html_content, 'lxml')

	data = []

	for row in soup.select("table tr")[1:]:  # skipping the header row with [1:]
		cols = row.select("td")
		if len(cols) > 0 and (cols[0].contents[2].text.strip() not in known_dji_entities):
			data.append({
				"id": cols[0].find("a").text.strip(),
				"company": cols[0].contents[2].text.strip(),
				"date": cols[0].contents[5].text.strip(),
			})

	print("{:<20} {:<50} {:<15} {:<5}".format("FCC ID", "Company", "Date", "FAA RID"))
	for hit in data:
		print("{:<20} {:<50} {:<15} {:<5}".format(hit.get("id"), hit.get("company"), hit.get("date"), get_faa_remoteid(hit.get("company"))))

def trademarks():
	response = requests.get(
		'https://trademarks.justia.com/owners/cogito-tech-company-limited-5648351/',
		cookies=browserstorage.get("justia.com").get("cookies"),
		headers=browserstorage.get("justia.com").get("headers")
	)
	html_content = response.text
	soup = BeautifulSoup(html_content, 'lxml')
	h4_elements = soup.find_all('h4', class_='has-no-margin')
	data = []
	for h4 in h4_elements:
		# Find all <a> elements within the current <h4>
		a_elements = h4.find_all('a')

		# Extract the text from each <a> element and add it to the list
		for a in a_elements:
			data.append(a.text)

	print("Name")
	for hit in data:
		print(hit)

print("FCC search of known frequencies:")
fccfreqs()

print("Trademark search:")
trademarks()