How to scrape Uber Eats
Uber Eats (ubereats.com) is a food delivery site. This guide is built from our own checks of its public pages: what the pages contain, whether our requests get through right now, and the request settings that worked.
Intermittent
4 of 20 of our checks passed in the last 7 days (20%).
Last check 2026-10-13 17:04 UTC · last pass 2026-10-13 17:04 UTC · checked with our own requests, never customer data.
Run the code on this page with your own key: 5,000 free credits for 7 days, no card. Get a free API key →
Extraction recipe
Detail pages carry structured data (Restaurant, FAQPage, BreadcrumbList). You can read those fields straight from the HTML, or select any other field with extract rules (CSS selectors). The recipe below is a set of Scrape API extract rules: we ran it through our API on two real Uber Eats pages with the settings on this page and kept only the fields that came back on both. It is checked again every week, and hidden if it stops working.
Restaurant pages
Validated 2026-10-13| Field | Type | Example |
|---|---|---|
place.city | text | Los Angeles |
place.country | text | US |
place.cuisine | text | Vegan, Healthy, Juice and Smoothies |
place.region | text | CA |
Examples from www.ubereats.com/store/cafe-gratitude-larchmont/kb6OWc4ITIiHK... on 2026-10-13, shortened.
Sample output (real, trimmed)
{
"place": {
"city": "Los Angeles",
"country": "US",
"cuisine": "Vegan, Healthy, Juice and Smoothies",
"region": "CA"
}
}extract_rules (1 rule)
{
"place": {
"type": "fn",
"fn": "const T = ['Hotel', 'LodgingBusiness', 'Restaurant', 'FoodEstablishment', 'LocalBusiness', 'Store', 'TouristAttraction', 'Resort', 'Motel', 'BedAndBreakfast', 'CafeOrCoffeeShop']; const n = [...document.querySelectorAll('script[type=\"application/ld+json\"]')].flatMap(s => { try { return [].concat(JSON.parse(s.textContent)).flatMap(x => x['@graph'] || [x]); } catch (e) { return []; } }).find(x => x && [].concat(x['@type']).some(t => T.includes(t))); if (!n) return null; const g = p => p.split('|').map(q => q.split('.').reduce((v, k) => v == null ? v : (Array.isArray(v) ? v[0] : v)?.[k], n)).find(v => v != null && v !== ''); const all = v => Array.isArray(v) ? v.map(all).filter(x => x != null).join(', ') : (v && typeof v === 'object' ? (v.name ?? v['@id'] ?? null) : (typeof v === 'string' ? v.replace('https://schema.org/', '').replace('http://schema.org/', '') : v ?? null)); const one = v => all(Array.isArray(v) ? v[0] : v); return { city: all(g('address.addressLocality')), country: all(g('address.addressCountry.name|address.addressCountry')), cuisine: all(g('servesCuisine')), region: all(g('address.addressRegion')) };"
}
}Code
Complete scripts: set the UJEEBU_API_KEY environment variable and run them as they are. Each one sends the settings on this page and the extraction recipe, prints the extracted JSON, and prints the credits the request cost (the Ujb-Credits response header) on stderr. A non-200 answer stops the script with the API's error message.
Restaurant pages
Runs the recipe on the two pages it was validated on, one after the other.
ubereats_detail_sdk.py
pip install ujeebu-python==0.1.5 # Scrape Uber Eats restaurant pages with the Ujeebu Scrape API.
# Settings and extract rules validated on real pages on 2026-10-13 (Ujeebu site guide).
# Uses the official SDK ujeebu-python 0.1.5: pip install ujeebu-python==0.1.5
# Run: UJEEBU_API_KEY=your_key python3 ubereats_detail_sdk.py
import json
import os
import sys
import time
import requests
from ujeebu_python import UjeebuClient
API_KEY = os.environ.get("UJEEBU_API_KEY")
URLS = [
"https://www.ubereats.com/store/cafe-gratitude-larchmont/kb6OWc4ITIiHKmMQkRX_IA?mod=quickView&modctx=%257B%2522storeUuid%2522%253A%252291be8e59-ce08-4c88-872a-63109115ff20%2522%252C%2522sectionUuid%2522%253A%25227d0bb91f-f108-500a-8fc0-ae70acd712c3%2522%252C%2522subsectionUuid%2522%253A%2522684a7d7c-48f4-5e53-bc8d-2dffcc7eda39%2522%252C%2522itemUuid%2522%253A%25226d8e9428-d64d-5395-851f-6263c492d1d1%2522%252C%2522showSeeDetailsCTA%2522%253Atrue%257D&ps=1",
"https://www.ubereats.com/store/cafe-gratitude-larchmont/kb6OWc4ITIiHKmMQkRX_IA",
]
SETTINGS = {
"js": True,
}
EXTRACT_RULES = {
"place": {
"type": "fn",
"fn": "const T = ['Hotel', 'LodgingBusiness', 'Restaurant', 'FoodEstablishment', 'LocalBusiness', 'Store', 'TouristAttraction', 'Resort', 'Motel', 'BedAndBreakfast', 'CafeOrCoffeeShop']; const n = [...document.querySelectorAll('script[type=\"application/ld+json\"]')].flatMap(s => { try { return [].concat(JSON.parse(s.textContent)).flatMap(x => x['@graph'] || [x]); } catch (e) { return []; } }).find(x => x && [].concat(x['@type']).some(t => T.includes(t))); if (!n) return null; const g = p => p.split('|').map(q => q.split('.').reduce((v, k) => v == null ? v : (Array.isArray(v) ? v[0] : v)?.[k], n)).find(v => v != null && v !== ''); const all = v => Array.isArray(v) ? v.map(all).filter(x => x != null).join(', ') : (v && typeof v === 'object' ? (v.name ?? v['@id'] ?? null) : (typeof v === 'string' ? v.replace('https://schema.org/', '').replace('http://schema.org/', '') : v ?? null)); const one = v => all(Array.isArray(v) ? v[0] : v); return { city: all(g('address.addressLocality')), country: all(g('address.addressCountry.name|address.addressCountry')), cuisine: all(g('servesCuisine')), region: all(g('address.addressRegion')) };",
},
}
def scrape(client, url):
# with extract_rules, client.scrape sends a JSON POST and the API answers {"result": {...}}
try:
response = client.scrape(url, params={**SETTINGS, "extract_rules": EXTRACT_RULES})
except requests.RequestException as error:
sys.exit(f"Request failed for {url}: {error}")
if response.status_code != 200:
try:
message = response.json().get("message", response.text)
except ValueError:
message = response.text
sys.exit(f"HTTP {response.status_code} for {url}: {str(message)[:300]}")
print(f"Ujb-Credits: {response.headers.get('Ujb-Credits')}", file=sys.stderr)
return response.json()["result"]
if not API_KEY:
sys.exit("Set the UJEEBU_API_KEY environment variable.")
client = UjeebuClient(api_key=API_KEY)
for i, url in enumerate(URLS):
if i:
time.sleep(2) # be polite: one page at a time
print(json.dumps(scrape(client, url), indent=2, ensure_ascii=False))
ubereats_detail_sdk.mjs
npm install @ujeebu-org/ujeebu-sdk@0.1.2 // Scrape Uber Eats restaurant pages with the Ujeebu Scrape API.
// Settings and extract rules validated on real pages on 2026-10-13 (Ujeebu site guide).
// Uses the official SDK @ujeebu-org/ujeebu-sdk 0.1.2: npm install @ujeebu-org/ujeebu-sdk@0.1.2
// Run: UJEEBU_API_KEY=your_key node ubereats_detail_sdk.mjs
import { UjeebuClient } from '@ujeebu-org/ujeebu-sdk';
const API_KEY = process.env.UJEEBU_API_KEY;
const URLS = [
"https://www.ubereats.com/store/cafe-gratitude-larchmont/kb6OWc4ITIiHKmMQkRX_IA?mod=quickView&modctx=%257B%2522storeUuid%2522%253A%252291be8e59-ce08-4c88-872a-63109115ff20%2522%252C%2522sectionUuid%2522%253A%25227d0bb91f-f108-500a-8fc0-ae70acd712c3%2522%252C%2522subsectionUuid%2522%253A%2522684a7d7c-48f4-5e53-bc8d-2dffcc7eda39%2522%252C%2522itemUuid%2522%253A%25226d8e9428-d64d-5395-851f-6263c492d1d1%2522%252C%2522showSeeDetailsCTA%2522%253Atrue%257D&ps=1",
"https://www.ubereats.com/store/cafe-gratitude-larchmont/kb6OWc4ITIiHKmMQkRX_IA",
];
const SETTINGS = {
js: true,
};
const EXTRACT_RULES = {
place: {
type: "fn",
fn: "const T = ['Hotel', 'LodgingBusiness', 'Restaurant', 'FoodEstablishment', 'LocalBusiness', 'Store', 'TouristAttraction', 'Resort', 'Motel', 'BedAndBreakfast', 'CafeOrCoffeeShop']; const n = [...document.querySelectorAll('script[type=\"application/ld+json\"]')].flatMap(s => { try { return [].concat(JSON.parse(s.textContent)).flatMap(x => x['@graph'] || [x]); } catch (e) { return []; } }).find(x => x && [].concat(x['@type']).some(t => T.includes(t))); if (!n) return null; const g = p => p.split('|').map(q => q.split('.').reduce((v, k) => v == null ? v : (Array.isArray(v) ? v[0] : v)?.[k], n)).find(v => v != null && v !== ''); const all = v => Array.isArray(v) ? v.map(all).filter(x => x != null).join(', ') : (v && typeof v === 'object' ? (v.name ?? v['@id'] ?? null) : (typeof v === 'string' ? v.replace('https://schema.org/', '').replace('http://schema.org/', '') : v ?? null)); const one = v => all(Array.isArray(v) ? v[0] : v); return { city: all(g('address.addressLocality')), country: all(g('address.addressCountry.name|address.addressCountry')), cuisine: all(g('servesCuisine')), region: all(g('address.addressRegion')) };",
},
};
async function scrape(client, url) {
let res;
try {
// client.scrape POSTs JSON when extract_rules is set (scrapeWithRules would send it as a GET query, which the API ignores)
res = await client.scrape(url, { ...SETTINGS, extract_rules: EXTRACT_RULES });
} catch (err) {
const status = err.response?.status ?? 'error';
const message = err.response?.data?.message ?? err.message;
console.error(`HTTP ${status} for ${url}: ${String(message).slice(0, 300)}`);
process.exit(1);
}
console.error(`Ujb-Credits: ${res.headers['ujb-credits']}`);
return res.data.result;
}
if (!API_KEY) {
console.error('Set the UJEEBU_API_KEY environment variable.');
process.exit(1);
}
const client = new UjeebuClient(API_KEY);
const pause = (ms) => new Promise((resolve) => setTimeout(resolve, ms));
for (const [i, url] of URLS.entries()) {
if (i) await pause(2000); // be polite: one page at a time
console.log(JSON.stringify(await scrape(client, url), null, 2));
}
ubereats_detail.py
pip install requests # Scrape Uber Eats restaurant pages with the Ujeebu Scrape API.
# Settings and extract rules validated on real pages on 2026-10-13 (Ujeebu site guide).
# Run: UJEEBU_API_KEY=your_key python3 ubereats_detail.py (pip install requests)
import json
import os
import sys
import time
import requests
API_URL = "https://api.ujeebu.com/scrape"
API_KEY = os.environ.get("UJEEBU_API_KEY")
URLS = [
"https://www.ubereats.com/store/cafe-gratitude-larchmont/kb6OWc4ITIiHKmMQkRX_IA?mod=quickView&modctx=%257B%2522storeUuid%2522%253A%252291be8e59-ce08-4c88-872a-63109115ff20%2522%252C%2522sectionUuid%2522%253A%25227d0bb91f-f108-500a-8fc0-ae70acd712c3%2522%252C%2522subsectionUuid%2522%253A%2522684a7d7c-48f4-5e53-bc8d-2dffcc7eda39%2522%252C%2522itemUuid%2522%253A%25226d8e9428-d64d-5395-851f-6263c492d1d1%2522%252C%2522showSeeDetailsCTA%2522%253Atrue%257D&ps=1",
"https://www.ubereats.com/store/cafe-gratitude-larchmont/kb6OWc4ITIiHKmMQkRX_IA",
]
SETTINGS = {
"js": True,
}
EXTRACT_RULES = {
"place": {
"type": "fn",
"fn": "const T = ['Hotel', 'LodgingBusiness', 'Restaurant', 'FoodEstablishment', 'LocalBusiness', 'Store', 'TouristAttraction', 'Resort', 'Motel', 'BedAndBreakfast', 'CafeOrCoffeeShop']; const n = [...document.querySelectorAll('script[type=\"application/ld+json\"]')].flatMap(s => { try { return [].concat(JSON.parse(s.textContent)).flatMap(x => x['@graph'] || [x]); } catch (e) { return []; } }).find(x => x && [].concat(x['@type']).some(t => T.includes(t))); if (!n) return null; const g = p => p.split('|').map(q => q.split('.').reduce((v, k) => v == null ? v : (Array.isArray(v) ? v[0] : v)?.[k], n)).find(v => v != null && v !== ''); const all = v => Array.isArray(v) ? v.map(all).filter(x => x != null).join(', ') : (v && typeof v === 'object' ? (v.name ?? v['@id'] ?? null) : (typeof v === 'string' ? v.replace('https://schema.org/', '').replace('http://schema.org/', '') : v ?? null)); const one = v => all(Array.isArray(v) ? v[0] : v); return { city: all(g('address.addressLocality')), country: all(g('address.addressCountry.name|address.addressCountry')), cuisine: all(g('servesCuisine')), region: all(g('address.addressRegion')) };",
},
}
def scrape(url):
response = requests.post(
API_URL,
headers={"ApiKey": API_KEY},
json={"url": url, **SETTINGS, "extract_rules": EXTRACT_RULES},
timeout=180,
)
if response.status_code != 200:
try:
message = response.json().get("message", response.text)
except ValueError:
message = response.text
sys.exit(f"HTTP {response.status_code} for {url}: {str(message)[:300]}")
print(f"Ujb-Credits: {response.headers.get('Ujb-Credits')}", file=sys.stderr)
return response.json()["result"]
if not API_KEY:
sys.exit("Set the UJEEBU_API_KEY environment variable.")
for i, url in enumerate(URLS):
if i:
time.sleep(2) # be polite: one page at a time
print(json.dumps(scrape(url), indent=2, ensure_ascii=False))
ubereats_detail.mjs
// Scrape Uber Eats restaurant pages with the Ujeebu Scrape API.
// Settings and extract rules validated on real pages on 2026-10-13 (Ujeebu site guide).
// Run: UJEEBU_API_KEY=your_key node ubereats_detail.mjs (Node.js 18 or later)
const API_URL = 'https://api.ujeebu.com/scrape';
const API_KEY = process.env.UJEEBU_API_KEY;
const URLS = [
"https://www.ubereats.com/store/cafe-gratitude-larchmont/kb6OWc4ITIiHKmMQkRX_IA?mod=quickView&modctx=%257B%2522storeUuid%2522%253A%252291be8e59-ce08-4c88-872a-63109115ff20%2522%252C%2522sectionUuid%2522%253A%25227d0bb91f-f108-500a-8fc0-ae70acd712c3%2522%252C%2522subsectionUuid%2522%253A%2522684a7d7c-48f4-5e53-bc8d-2dffcc7eda39%2522%252C%2522itemUuid%2522%253A%25226d8e9428-d64d-5395-851f-6263c492d1d1%2522%252C%2522showSeeDetailsCTA%2522%253Atrue%257D&ps=1",
"https://www.ubereats.com/store/cafe-gratitude-larchmont/kb6OWc4ITIiHKmMQkRX_IA",
];
const SETTINGS = {
js: true,
};
const EXTRACT_RULES = {
place: {
type: "fn",
fn: "const T = ['Hotel', 'LodgingBusiness', 'Restaurant', 'FoodEstablishment', 'LocalBusiness', 'Store', 'TouristAttraction', 'Resort', 'Motel', 'BedAndBreakfast', 'CafeOrCoffeeShop']; const n = [...document.querySelectorAll('script[type=\"application/ld+json\"]')].flatMap(s => { try { return [].concat(JSON.parse(s.textContent)).flatMap(x => x['@graph'] || [x]); } catch (e) { return []; } }).find(x => x && [].concat(x['@type']).some(t => T.includes(t))); if (!n) return null; const g = p => p.split('|').map(q => q.split('.').reduce((v, k) => v == null ? v : (Array.isArray(v) ? v[0] : v)?.[k], n)).find(v => v != null && v !== ''); const all = v => Array.isArray(v) ? v.map(all).filter(x => x != null).join(', ') : (v && typeof v === 'object' ? (v.name ?? v['@id'] ?? null) : (typeof v === 'string' ? v.replace('https://schema.org/', '').replace('http://schema.org/', '') : v ?? null)); const one = v => all(Array.isArray(v) ? v[0] : v); return { city: all(g('address.addressLocality')), country: all(g('address.addressCountry.name|address.addressCountry')), cuisine: all(g('servesCuisine')), region: all(g('address.addressRegion')) };",
},
};
async function scrape(url) {
const res = await fetch(API_URL, {
method: 'POST',
headers: { ApiKey: API_KEY, 'Content-Type': 'application/json' },
body: JSON.stringify({ url, ...SETTINGS, extract_rules: EXTRACT_RULES }),
signal: AbortSignal.timeout(180000),
});
const text = await res.text();
if (res.status !== 200) {
let message = text;
try {
message = JSON.parse(text).message ?? text;
} catch {}
console.error(`HTTP ${res.status} for ${url}: ${String(message).slice(0, 300)}`);
process.exit(1);
}
console.error(`Ujb-Credits: ${res.headers.get('ujb-credits')}`);
return JSON.parse(text).result;
}
if (!API_KEY) {
console.error('Set the UJEEBU_API_KEY environment variable.');
process.exit(1);
}
const pause = (ms) => new Promise((resolve) => setTimeout(resolve, ms));
for (const [i, url] of URLS.entries()) {
if (i) await pause(2000); // be polite: one page at a time
console.log(JSON.stringify(await scrape(url), null, 2));
}
ubereats_detail.sh
#!/usr/bin/env bash
# Scrape Uber Eats restaurant pages with the Ujeebu Scrape API.
# Settings and extract rules validated on real pages on 2026-10-13 (Ujeebu site guide).
# Run: UJEEBU_API_KEY=your_key bash ubereats_detail.sh (curl 7.76 or later)
set -euo pipefail
curl -sS --fail-with-body --max-time 180 -D headers.txt \
-X POST 'https://api.ujeebu.com/scrape' \
-H "ApiKey: ${UJEEBU_API_KEY:?Set the UJEEBU_API_KEY environment variable.}" \
-H 'Content-Type: application/json' \
--data-binary @- <<'JSON'
{
"url": "https://www.ubereats.com/store/cafe-gratitude-larchmont/kb6OWc4ITIiHKmMQkRX_IA?mod=quickView&modctx=%257B%2522storeUuid%2522%253A%252291be8e59-ce08-4c88-872a-63109115ff20%2522%252C%2522sectionUuid%2522%253A%25227d0bb91f-f108-500a-8fc0-ae70acd712c3%2522%252C%2522subsectionUuid%2522%253A%2522684a7d7c-48f4-5e53-bc8d-2dffcc7eda39%2522%252C%2522itemUuid%2522%253A%25226d8e9428-d64d-5395-851f-6263c492d1d1%2522%252C%2522showSeeDetailsCTA%2522%253Atrue%257D&ps=1",
"js": true,
"extract_rules": {
"place": {
"type": "fn",
"fn": "const T = ['Hotel', 'LodgingBusiness', 'Restaurant', 'FoodEstablishment', 'LocalBusiness', 'Store', 'TouristAttraction', 'Resort', 'Motel', 'BedAndBreakfast', 'CafeOrCoffeeShop']; const n = [...document.querySelectorAll('script[type=\"application/ld+json\"]')].flatMap(s => { try { return [].concat(JSON.parse(s.textContent)).flatMap(x => x['@graph'] || [x]); } catch (e) { return []; } }).find(x => x && [].concat(x['@type']).some(t => T.includes(t))); if (!n) return null; const g = p => p.split('|').map(q => q.split('.').reduce((v, k) => v == null ? v : (Array.isArray(v) ? v[0] : v)?.[k], n)).find(v => v != null && v !== ''); const all = v => Array.isArray(v) ? v.map(all).filter(x => x != null).join(', ') : (v && typeof v === 'object' ? (v.name ?? v['@id'] ?? null) : (typeof v === 'string' ? v.replace('https://schema.org/', '').replace('http://schema.org/', '') : v ?? null)); const one = v => all(Array.isArray(v) ? v[0] : v); return { city: all(g('address.addressLocality')), country: all(g('address.addressCountry.name|address.addressCountry')), cuisine: all(g('servesCuisine')), region: all(g('address.addressRegion')) };"
}
}
}
JSON
echo
grep -i '^ujb-credits' headers.txt >&2
ubereats_detail.php
<?php
// Scrape Uber Eats restaurant pages with the Ujeebu Scrape API.
// Settings and extract rules validated on real pages on 2026-10-13 (Ujeebu site guide).
// Run: UJEEBU_API_KEY=your_key php ubereats_detail.php (PHP 7.4 or later with curl)
$apiKey = getenv('UJEEBU_API_KEY') ?: exit("Set the UJEEBU_API_KEY environment variable.\n");
$urls = [
'https://www.ubereats.com/store/cafe-gratitude-larchmont/kb6OWc4ITIiHKmMQkRX_IA?mod=quickView&modctx=%257B%2522storeUuid%2522%253A%252291be8e59-ce08-4c88-872a-63109115ff20%2522%252C%2522sectionUuid%2522%253A%25227d0bb91f-f108-500a-8fc0-ae70acd712c3%2522%252C%2522subsectionUuid%2522%253A%2522684a7d7c-48f4-5e53-bc8d-2dffcc7eda39%2522%252C%2522itemUuid%2522%253A%25226d8e9428-d64d-5395-851f-6263c492d1d1%2522%252C%2522showSeeDetailsCTA%2522%253Atrue%257D&ps=1',
'https://www.ubereats.com/store/cafe-gratitude-larchmont/kb6OWc4ITIiHKmMQkRX_IA',
];
$settings = [
'js' => true,
];
$extractRules = [
'place' => [
'type' => 'fn',
'fn' => 'const T = [\'Hotel\', \'LodgingBusiness\', \'Restaurant\', \'FoodEstablishment\', \'LocalBusiness\', \'Store\', \'TouristAttraction\', \'Resort\', \'Motel\', \'BedAndBreakfast\', \'CafeOrCoffeeShop\']; const n = [...document.querySelectorAll(\'script[type="application/ld+json"]\')].flatMap(s => { try { return [].concat(JSON.parse(s.textContent)).flatMap(x => x[\'@graph\'] || [x]); } catch (e) { return []; } }).find(x => x && [].concat(x[\'@type\']).some(t => T.includes(t))); if (!n) return null; const g = p => p.split(\'|\').map(q => q.split(\'.\').reduce((v, k) => v == null ? v : (Array.isArray(v) ? v[0] : v)?.[k], n)).find(v => v != null && v !== \'\'); const all = v => Array.isArray(v) ? v.map(all).filter(x => x != null).join(\', \') : (v && typeof v === \'object\' ? (v.name ?? v[\'@id\'] ?? null) : (typeof v === \'string\' ? v.replace(\'https://schema.org/\', \'\').replace(\'http://schema.org/\', \'\') : v ?? null)); const one = v => all(Array.isArray(v) ? v[0] : v); return { city: all(g(\'address.addressLocality\')), country: all(g(\'address.addressCountry.name|address.addressCountry\')), cuisine: all(g(\'servesCuisine\')), region: all(g(\'address.addressRegion\')) };',
],
];
function scrape(string $url, string $apiKey, array $settings, array $extractRules)
{
$ch = curl_init('https://api.ujeebu.com/scrape');
$headers = [];
curl_setopt_array($ch, [
CURLOPT_POST => true,
CURLOPT_RETURNTRANSFER => true,
CURLOPT_TIMEOUT => 180,
CURLOPT_HTTPHEADER => ['ApiKey: ' . $apiKey, 'Content-Type: application/json'],
CURLOPT_POSTFIELDS => json_encode(['url' => $url] + $settings + ['extract_rules' => $extractRules]),
CURLOPT_HEADERFUNCTION => function ($ch, $line) use (&$headers) {
if (strpos($line, ':') !== false) {
[$k, $v] = explode(':', $line, 2);
$headers[strtolower(trim($k))] = trim($v);
}
return strlen($line);
},
]);
$body = curl_exec($ch);
if ($body === false) {
fwrite(STDERR, 'Request failed: ' . curl_error($ch) . "\n");
exit(1);
}
$status = curl_getinfo($ch, CURLINFO_RESPONSE_CODE);
if ($status !== 200) {
$message = json_decode($body, true)['message'] ?? $body;
fwrite(STDERR, "HTTP $status for $url: " . substr((string) $message, 0, 300) . "\n");
exit(1);
}
fwrite(STDERR, 'Ujb-Credits: ' . ($headers['ujb-credits'] ?? '?') . "\n");
return json_decode($body, true)['result'];
}
foreach ($urls as $i => $url) {
if ($i > 0) {
sleep(2); // be polite: one page at a time
}
echo json_encode(scrape($url, $apiKey, $settings, $extractRules), JSON_PRETTY_PRINT | JSON_UNESCAPED_SLASHES | JSON_UNESCAPED_UNICODE), "\n";
}
ubereats_detail.go
go mod init scraper && go get github.com/ujeebu/ujeebu-go@v0.1.8 // Scrape Uber Eats restaurant pages with the Ujeebu Scrape API.
// Settings and extract rules validated on real pages on 2026-10-13 (Ujeebu site guide).
// Uses the official SDK github.com/ujeebu/ujeebu-go v0.1.8: go mod init scraper && go get github.com/ujeebu/ujeebu-go@v0.1.8
// Run: UJEEBU_API_KEY=your_key go run ubereats_detail.go
package main
import (
"encoding/json"
"errors"
"fmt"
"os"
"time"
ujeebu "github.com/ujeebu/ujeebu-go"
)
var urls = []string{
"https://www.ubereats.com/store/cafe-gratitude-larchmont/kb6OWc4ITIiHKmMQkRX_IA?mod=quickView&modctx=%257B%2522storeUuid%2522%253A%252291be8e59-ce08-4c88-872a-63109115ff20%2522%252C%2522sectionUuid%2522%253A%25227d0bb91f-f108-500a-8fc0-ae70acd712c3%2522%252C%2522subsectionUuid%2522%253A%2522684a7d7c-48f4-5e53-bc8d-2dffcc7eda39%2522%252C%2522itemUuid%2522%253A%25226d8e9428-d64d-5395-851f-6263c492d1d1%2522%252C%2522showSeeDetailsCTA%2522%253Atrue%257D&ps=1",
"https://www.ubereats.com/store/cafe-gratitude-larchmont/kb6OWc4ITIiHKmMQkRX_IA",
}
// The extract rules of the recipe, as the JSON the API takes.
const extractRulesJSON = `{
"place": {
"type": "fn",
"fn": "const T = ['Hotel', 'LodgingBusiness', 'Restaurant', 'FoodEstablishment', 'LocalBusiness', 'Store', 'TouristAttraction', 'Resort', 'Motel', 'BedAndBreakfast', 'CafeOrCoffeeShop']; const n = [...document.querySelectorAll('script[type=\"application/ld+json\"]')].flatMap(s => { try { return [].concat(JSON.parse(s.textContent)).flatMap(x => x['@graph'] || [x]); } catch (e) { return []; } }).find(x => x && [].concat(x['@type']).some(t => T.includes(t))); if (!n) return null; const g = p => p.split('|').map(q => q.split('.').reduce((v, k) => v == null ? v : (Array.isArray(v) ? v[0] : v)?.[k], n)).find(v => v != null && v !== ''); const all = v => Array.isArray(v) ? v.map(all).filter(x => x != null).join(', ') : (v && typeof v === 'object' ? (v.name ?? v['@id'] ?? null) : (typeof v === 'string' ? v.replace('https://schema.org/', '').replace('http://schema.org/', '') : v ?? null)); const one = v => all(Array.isArray(v) ? v[0] : v); return { city: all(g('address.addressLocality')), country: all(g('address.addressCountry.name|address.addressCountry')), cuisine: all(g('servesCuisine')), region: all(g('address.addressRegion')) };"
}
}`
var extractRules map[string]any
func fail(format string, args ...any) {
fmt.Fprintf(os.Stderr, format+"\n", args...)
os.Exit(1)
}
func short(s string) string {
if len(s) > 300 {
return s[:300]
}
return s
}
func params(target string) ujeebu.ScrapeParams {
p := ujeebu.ScrapeParams{URL: target}
p.JS = true
p.ExtractRules = extractRules
return p
}
func scrape(client *ujeebu.Client, target string) map[string]any {
// the int is the credits the request cost (the Ujb-Credits header), not an HTTP status
resp, credits, err := client.Scrape(params(target))
if err != nil {
var apiErr *ujeebu.APIError
if errors.As(err, &apiErr) {
fail("HTTP %d for %s: %s", apiErr.StatusCode, target, short(apiErr.Message))
}
fail("Request failed for %s: %v", target, err)
}
fmt.Fprintf(os.Stderr, "Ujb-Credits: %d\n", credits)
result, _ := resp.Result.(map[string]any)
return result
}
func printJSON(v any) {
enc := json.NewEncoder(os.Stdout)
enc.SetEscapeHTML(false)
enc.SetIndent("", " ")
if err := enc.Encode(v); err != nil {
fail("Cannot print the result: %v", err)
}
}
func main() {
apiKey := os.Getenv("UJEEBU_API_KEY")
if apiKey == "" {
fail("Set the UJEEBU_API_KEY environment variable.")
}
if err := json.Unmarshal([]byte(extractRulesJSON), &extractRules); err != nil {
fail("Bad extract rules: %v", err)
}
client, err := ujeebu.NewClient(apiKey, ujeebu.WithTimeout(180*time.Second))
if err != nil {
fail("%v", err)
}
for i, target := range urls {
if i > 0 {
time.Sleep(2 * time.Second) // be polite: one page at a time
}
printJSON(scrape(client, target))
}
}
SDK tabs use the official Ujeebu SDKs (ujeebu-python 0.1.5, @ujeebu-org/ujeebu-sdk 0.1.2, github.com/ujeebu/ujeebu-go v0.1.8); there is no PHP SDK, so the PHP tab calls the API with curl. For agents and scripts, the same status and settings are at /scrape/ubereats.json.
Try it yourself
Run this on Uber Eats with your own key
Get a free API key, set UJEEBU_API_KEY and run any script above as it is. 5,000 free credits for 7 days, no card.
URL patterns and pagination
What the URLs look like, read from the pages our checks fetched.
Restaurant pages
- Pattern
https://www.ubereats.com/store/cafe-gratitude-larchmont/kb6OWc4ITIiHKmMQkRX_IA?mod={mod}&modctx={modctx}&ps={ps}- Validated on
https://www.ubereats.com/store/cafe-gratitude-larchmont/kb6OWc4ITIiHKmMQkRX_IA?mod=quickView&modctx=%257B%2522storeUuid%2522%253A%252291be8e59-ce08-4c88-872a-63109115ff20%2522%252C%2522sectionUuid%2522%253A%25227d0bb91f-f108-500a-8fc0-ae70acd712c3%2522%252C%2522subsectionUuid%2522%253A%2522684a7d7c-48f4-5e53-bc8d-2dffcc7eda39%2522%252C%2522itemUuid%2522%253A%25226d8e9428-d64d-5395-851f-6263c492d1d1%2522%252C%2522showSeeDetailsCTA%2522%253Atrue%257D&ps=1https://www.ubereats.com/store/cafe-gratitude-larchmont/kb6OWc4ITIiHKmMQkRX_IA
Settings that work today
From our health checks over the last 7 days: the cheapest settings that return the real page most of the time.
| Endpoint | /scrape |
|---|---|
js | true |
| Cost | up to 5 credits a request (only HTTP 200 and 404 are billed) |
For search and listing pages, change the query or the page parameter in the URL to paginate, and fetch the pages one after another rather than in bursts. Collect detail page URLs from listing pages first, then fetch each detail page. Our checks run with JavaScript rendering on (js=true): keep it on. Start with the default (rotating) proxy, the cheapest one that passed most of its attempts in our checks.
| Proxy | Attempts | Passed |
|---|---|---|
| Default (rotating) | 6 | 4 |
The cheapest proxy that passes most of our checks of this site.
Troubleshooting
The failures our own checks of ubereats.com ran into over the last 7 days, and what got the page in the same check.
| What happened | Times | What fixed it |
|---|---|---|
| The site blocked the request (HTTP 403 or a block page) | 2 | None of the settings we tried got past it in 7 days. |
| The page did not load in time | 1 | Nothing we tried in the same check. Retry later, one request at a time. |
A failed request is not billed: only HTTP 200 and 404 responses cost credits.
What people build with Uber Eats data
- Restaurant market researchMap the restaurants of an area with their cuisine, rating and delivery terms.More on this use case
Limits and etiquette
- Public pages only. Pages behind a login, and data shown only to signed-in users, are out of scope.
- Keep the rate modest: fetch pages one after another or with low concurrency, and cache what you already have.
- Read Uber Eats's terms of service before you collect data at scale, and do not collect personal data you have no basis to process. This guide is not legal advice.
Questions
Can you scrape Uber Eats with Ujeebu?
Partly. 4 of 20 checks of public Uber Eats pages passed in the last 7 days; most failures were the site blocked the request (HTTP 403 or a block page). Retry failed pages later, and use the settings on this page.
Which settings work for Uber Eats?
Call /scrape with js=true. On the default (rotating) proxy, 4 of 6 attempts passed in the last 7 days.
How many credits does a Uber Eats request cost?
With these settings a request costs up to 5 credits. Only responses with HTTP 200 or 404 are billed: a blocked or timed-out request is free.
Which fields can I extract from Uber Eats?
With the extraction recipes on this page, validated on real Uber Eats pages through our API: restaurant pages: city, country, cuisine, region. Pass the recipe as extract_rules in a POST to /scrape and the API returns those fields as JSON.
How fresh is this page?
The status and settings come from our own health checks of ubereats.com, which run around the clock. Last check: 2026-10-13 17:04:32 UTC; last pass: 2026-10-13 17:04:32 UTC.