Yellow Pages scraper API: search results as JSON

curl -G 'https://api.ujeebu.com/scrape' \
  -H "ApiKey: $UJEEBU_API_KEY" \
  --data-urlencode 'url=https://www.yellowpages.com/search?search_terms=pizza&geo_location_terms=Los+Angeles%2C+CA' \
  --data-urlencode 'recipe=yellowpages'

import os, requests

r = requests.get(
    "https://api.ujeebu.com/scrape",
    params={"url": "https://www.yellowpages.com/search?search_terms=pizza&geo_location_terms=Los+Angeles%2C+CA", "recipe": "yellowpages"},
    headers={"ApiKey": os.environ["UJEEBU_API_KEY"]},
    timeout=120,
)
for item in r.json()["result"]["places"][:3]:
    print(item["name"], item["title"], item["address"])
# Example output:
# Griddle Cafe 1. Griddle Cafe 7916 W Sunset BlvdLos Angeles, CA 90046
# Toast Bakery Cafe 2. Toast Bakery Cafe 8221 W 3rd StLos Angeles, CA 90048

const params = new URLSearchParams({
  url: "https://www.yellowpages.com/search?search_terms=pizza&geo_location_terms=Los+Angeles%2C+CA",
  recipe: "yellowpages",
});
const res = await fetch(`https://api.ujeebu.com/scrape?${params}`, {
  headers: { ApiKey: process.env.UJEEBU_API_KEY },
});
const { result } = await res.json();
for (const item of result.places.slice(0, 3)) {
  console.log(item.name, item.title, item.address);
}
// Example output:
// Griddle Cafe 1. Griddle Cafe 7916 W Sunset BlvdLos Angeles, CA 90046
// Toast Bakery Cafe 2. Toast Bakery Cafe 8221 W 3rd StLos Angeles, CA 90048