Does anyone have this kinda list from https://rentechdigital.com/smartscraper/business-report-details/list-of-coffee-shops-in-saudi-arabia
or if someone has a potential lead list for cafe’s in Saudi Arabia, please help
Thank you! Hope this helps others aswell
$299 → $0 · the Saudi coffee-shop list, rebuilt free
That SmartScrapers list is just Google Maps + OpenStreetMap scraped and resold — public data. Their own page: 8,984 cafés, only 138 with emails (1.5%). You’re paying for a scrape you can run yourself.
Every source below is free. Crack open the drops 
Their own numbers, out of 8,984 shops:
| Field | Filled |
|---|---|
| Phone | 5,256 |
| 972 | |
| 75 | |
| 138 (1.5%) |
So the “premium” product = a Google Maps scrape (scrape = a bot copying on-screen data into a spreadsheet) + a weak email crawl. Name, address, phone, rating, reviews, website, socials — all public on Google Maps + OpenStreetMap right now.
Set expectations: email is the one hard column. Most Saudi cafés are Instagram + phone only — even the paid vendor got 1.5%. Chase phone + socials, grab emails where they exist.
OpenStreetMap (free volunteer world map — Wikipedia for places) tags every café amenity=cafe. Pull them all with Overpass Turbo (a search box for OSM). No signup, no limit → export CSV (plain spreadsheet file).
Paste this, hit Run, then Export → CSV:
[out:csv(name,"contact:phone",phone,"contact:website",website,"contact:email",email,"contact:instagram",::lat,::lon;true;",")]
[timeout:180];
{{geocodeArea:Saudi Arabia}}->.searchArea;
(
nwr["amenity"="cafe"](area.searchArea);
nwr["shop"="coffee"](area.searchArea);
nwr["cuisine"="coffee_shop"](area.searchArea);
);
out center;
phone and contact:phone) — query grabs both so you don’t lose half the numbers.out count;.Whole country in one file: Geofabrik GCC extract (.pbf = a region’s entire map in one download, refreshed daily). Filter with osmconvert/osmfilter, or drag it into free QGIS.
OSM has fewer cafés than Google (a few thousand). Free base layer — top up from Google below.
Late 2024, Foursquare dumped its entire places database open + free: Foursquare OS Places — 106M businesses worldwide, name/address/phone/website/socials, monthly refresh, commercial-use license. The sellers never mention this.
Filter it to Saudi cafés with DuckDB (free tool that reads giant files on your laptop) — no full download needed:
SELECT name, address, locality, region, tel, website, email, latitude, longitude
FROM read_parquet('s3://fsq-os-places-us-east-1/release/dt=2025-12-08/places/parquet/*.parquet')
WHERE country = 'SA'
AND (list_contains(fsq_category_labels,'Café')
OR list_contains(fsq_category_labels,'Coffee Shop'));
Sister dump: Overture Maps (Meta + Microsoft + Amazon + TomTom). One line grabs the Saudi map-box: overturemaps download --bbox=34,16,56,33 -f geojson --type=place.
The 8,984 count came from Google, so go to the same well.
No-code (start here):
| Tool | Free | Note |
|---|---|---|
| Instant Data Scraper | unlimited | Chrome add-on, auto-grabs the table |
| G Maps Extractor | free tier | quick pulls |
| gmplus | ~40/run | ~18 fields incl. email/social |
| Apify Google Maps | $5/mo ≈ 2,500 | cloud, no PC |
Self-hosted (unlimited):
| Tool | Free | Note |
|---|---|---|
| omkarcloud | 200 searches/mo → 10k+ leads | desktop app, 50+ fields, email+social built in |
| gosom | forever | add -email → crawls each site for the email |
Two make-or-break tricks:
coffee shop · cafe · مقهى · كافيه · قهوة · كوفي.Official tap: Google Places API throws in thousands of free calls/month.
Every Saudi delivery app is a café directory with name, address, exact location, often phone — by city, served fresh. Catches shops that never touched Google: HungerStation, Jahez, Mrsool, ToYou, Careem Food, Talabat, Ninja (each loads its restaurant list from a hidden data feed the browser reads).
HungerStation is Saudi-locked + anti-bot → needs a Saudi home IP. Starter scraper on GitHub: scrape-do HungerStation — bend it to pull the store list. Bonus layer for phone gaps.
Emails (ranked by free yield):
-email / omkarcloud built-in. Hits info@/contact@. Best.Socials (Instagram is the real prize here):
"café name" instagram.drop_duplicates.Same method, one payoff: a free contact list of any business type, any city, on demand.
The stack, short:
OSM + Foursquare + Google Maps → dedupe (+966, Place ID) → your list
fastest: Overpass query (5 min) · fullest: omkarcloud · socials: Maroof
Public data is fair game, but it breaks Google’s ToS and Saudi PDPL covers personal info — keep it B2B, honor opt-outs, credit OSM/Foursquare.
They didn’t sell you data. They sold you the ten minutes you didn’t know you could skip.
The answer above is now a better, AI-made version from the Core-Community.
!