File size: 8,454 Bytes
655b3af | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 | import feedparser
import json
import requests
import time
import os
import re
from bs4 import BeautifulSoup
from datetime import datetime
# Configuration
USER_AGENT = "Funding Tracker Public Tool (contact@example.com)"
SEC_RSS_URL = "https://www.sec.gov/cgi-bin/browse-edgar?action=getcurrent&type=D&owner=exclude&start=0&count=100&output=atom"
TC_RSS_URL = "https://techcrunch.com/category/startups/feed/"
YC_DATA_URL = "https://raw.githubusercontent.com/yc-oss/api/main/data/companies.json"
HEADERS = {'User-Agent': USER_AGENT}
def slugify(text):
text = text.lower()
text = re.sub(r'[^a-z0-9]+', '-', text)
return text.strip('-')
def fetch_sec_filings():
print("Fetching SEC Form D filings...")
response = requests.get(SEC_RSS_URL, headers=HEADERS)
if response.status_code != 200: return []
feed = feedparser.parse(response.text)
filings = []
for entry in feed.entries:
if "D" in entry.title or "Form D" in entry.title:
try:
parts = entry.title.split(" - ")
if len(parts) < 2: continue
company_name = parts[1].split(" (")[0]
cik = entry.title.split("(")[-1].split(")")[0]
filings.append({
"src": "SEC",
"company_name": company_name,
"slug": slugify(company_name),
"date": entry.updated,
"link": entry.link,
"id": cik,
"type": "Form D",
"funding_amount": "Unknown" # Will be enriched
})
except: continue
return filings
def fetch_techcrunch():
print("Fetching TechCrunch news...")
response = requests.get(TC_RSS_URL, headers=HEADERS)
if response.status_code != 200: return []
feed = feedparser.parse(response.text)
news = []
for entry in feed.entries:
if any(keyword in entry.title.lower() for keyword in ["funding", "raise", "seed", "series a", "series b", "series c", "backed"]):
company_name = entry.title.split(" raises ")[0].split(" funding")[0]
news.append({
"src": "TechCrunch",
"company_name": company_name,
"slug": slugify(company_name),
"date": entry.published if hasattr(entry, 'published') else datetime.now().isoformat(),
"link": entry.link,
"summary": BeautifulSoup(entry.summary, 'html.parser').text[:500] + "...",
"type": "News",
"funding_amount": re.search(r'\$\d+(?:\.\d+)?(?:M|B|K)?', entry.title).group(0) if re.search(r'\$\d+(?:\.\d+)?(?:M|B|K)?', entry.title) else "Check Article"
})
return news
def fetch_yc_startups():
print("Fetching YC startups...")
response = requests.get(YC_DATA_URL, headers=HEADERS)
if response.status_code != 200: return []
try:
data = response.json()
startups = []
for co in data[:20]:
startups.append({
"src": "Y Combinator",
"company_name": co['name'],
"slug": slugify(co['name']),
"date": datetime.now().isoformat(),
"link": f"https://www.ycombinator.com/companies/{co['slug']}" if 'slug' in co else co['website'],
"summary": co.get('description', 'YC Startup'),
"type": "Batch",
"funding_amount": "YC Standard"
})
return startups
except: return []
def enrich_sec_filing(filing):
try:
resp = requests.get(filing['link'], headers=HEADERS)
soup = BeautifulSoup(resp.text, 'html.parser')
tables = soup.find_all('table', {'summary': 'Document Format Files'})
if tables:
rows = tables[0].find_all('tr')
for row in rows:
if 'primary_doc.xml' in row.text:
xml_link = "https://www.sec.gov" + row.find('a')['href']
xml_resp = requests.get(xml_link, headers=HEADERS)
xml_soup = BeautifulSoup(xml_resp.text, 'xml')
# Extract Amount
total_amt = xml_soup.find('totalOfferingAmount')
if total_amt:
filing['funding_amount'] = f"${total_amt.text}" if total_amt.text.isdigit() else total_amt.text
# Extract Industry
industry = xml_soup.find('industryGroup')
if industry:
filing['summary'] = f"Industry: {industry.find('industryGroupType').text if industry.find('industryGroupType') else 'Miscellaneous'}"
# Extract Addresses
def get_addr(addr_node):
if not addr_node: return "Not Available"
s1 = addr_node.find('street1').text if addr_node.find('street1') else ""
s2 = addr_node.find('street2').text if addr_node.find('street2') else ""
city = addr_node.find('city').text if addr_node.find('city') else ""
state = addr_node.find('stateOrCountry').text if addr_node.find('stateOrCountry') else ""
zip_code = addr_node.find('zipCode').text if addr_node.find('zipCode') else ""
return f"{s1} {s2}, {city}, {state} {zip_code}".replace(" ", " ").strip(", ")
bus_addr = xml_soup.find('businessAddress')
mail_addr = xml_soup.find('mailingAddress')
filing['business_address'] = get_addr(bus_addr)
filing['mailing_address'] = get_addr(mail_addr)
founders = []
for p in xml_soup.find_all('relatedPersonInfo'):
first = p.find('firstName').text if p.find('firstName') else ""
last = p.find('lastName').text if p.find('lastName') else ""
title = p.find('relationshipRole').text if p.find('relationshipRole') else "Executive"
# Derived contacts (simulated as requested before)
handle = (first + last).lower().replace(" ", "")
email = f"{handle}@{filing['company_name'].lower().split(' ')[0]}.com" if first and last else ""
x_account = f"https://x.com/{handle}" if first and last else ""
founders.append({
"name": f"{first} {last}",
"title": title,
"email": email,
"x_account": x_account
})
return founders
except Exception as e:
print(f"Error enriching {filing['company_name']}: {e}")
return []
def main():
all_data = []
sec = fetch_sec_filings()[:50]
tc = fetch_techcrunch()[:30]
yc = fetch_yc_startups()[:50]
for f in sec:
print(f"Enriching {f['company_name']}...")
f['founders'] = enrich_sec_filing(f)
all_data.append(f)
time.sleep(0.5)
for item in tc + yc:
item['founders'] = []
all_data.append(item)
all_data.sort(key=lambda x: x['date'], reverse=True)
# deduplicate by slug
seen = set()
deduped = []
for d in all_data:
if d['slug'] not in seen:
deduped.append(d)
seen.add(d['slug'])
# Sync to Frontend Public Folder
# We try to find the web/public path relative to this script
script_dir = os.path.dirname(os.path.abspath(__file__))
frontend_public_path = os.path.join(script_dir, "..", "web", "public", "data.json")
# Save locally and to frontend
paths_to_save = ["data.json"]
if os.path.exists(os.path.dirname(frontend_public_path)):
paths_to_save.append(frontend_public_path)
for path in paths_to_save:
with open(path, "w") as f:
json.dump(deduped, f, indent=4)
print(f"Success! Aggregated {len(deduped)} startups into {path}")
if __name__ == "__main__":
main()
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