# Free Leads

**URL:** <https://onehack.st/t/free-leads/323529>\
**Category:** Discussion & Solutions\
**Tags:** solved\
**Created:** [July 1, 2026, 6:22am UTC](https://onehack.st/t/free-leads/323529 "2026-07-01T06:22:45Z")\
**Posts on this page:** 3\
**Page:** 1

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**Author:** ![Stick\_Chick](https://onehack.st/user_avatar/onehack.st/stick_chick/32/154033_2.png) [@Stick\_Chick](https://onehack.st/u/Stick_Chick)\
**Post date:** [July 1, 2026, 6:22am UTC](https://onehack.st/t/free-leads/323529/1 "2026-07-01T06:22:46Z")

</div>

Does anyone have this kinda list from [https://rentechdigital.com/smartscraper/business-report-details/list-of-coffee-shops-in-saudi-arabia](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

---

<div class="post-metadata">

**Author:** ![NoBody](https://onehack.st/user_avatar/onehack.st/nobody/32/163880_2.png) [@NoBody](https://onehack.st/u/NoBody)\
**Post date:** [July 1, 2026, 7:53am UTC](https://onehack.st/t/free-leads/323529/2 "2026-07-01T07:53:41Z")

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💰 **$299 → $0** · the Saudi coffee-shop list, rebuilt free

* * *

 ![image](https://onehack.st/uploads/default/original/3X/6/6/66f693992a4b169ce8307a617675e6d3683de18c.jpeg)

* * *

That [SmartScrapers list](https://rentechdigital.com/smartscraper/business-report-details/list-of-coffee-shops-in-saudi-arabia) 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 👇

> **🪤 what your $299 actually buys**
>
> Their own numbers, out of 8,984 shops:
> 
> | Field | Filled |
> | --- | --- |
> | Phone | 5,256 |
> | Facebook | 972 |
> | LinkedIn | 75 |
> | **Email** | **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.

> **🗺️ the map that bills you nothing**
>
> **OpenStreetMap** (free volunteer world map — Wikipedia for places) tags every café `amenity=cafe`. Pull them all with **[Overpass Turbo](https://overpass-turbo.eu)** (a search box for OSM). No signup, no limit → export CSV (plain spreadsheet file).
> 
> Paste this, hit **Run** , then **Export → CSV** :
> 
> ```auto
> [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;
> 
> ```
> 
> - OSM stores contacts under **two spellings** (`phone` _and_ `contact:phone`) — query grabs both so you don’t lose half the numbers.
> - Arabic turning to junk? Export **“raw data directly from Overpass API”** or import as **UTF-8** (a text-encoding setting).
> - Just want a count first? Swap the last line for `out count;`.
> 
> **Whole country in one file:** [Geofabrik GCC extract](https://download.geofabrik.de/asia/gcc-states.html) (`.pbf` = a region’s entire map in one download, refreshed daily). Filter with `osmconvert`/`osmfilter`, or drag it into free [QGIS](https://qgis.org).
> 
> ⚠ OSM has fewer cafés than Google (a few thousand). Free base layer — top up from Google below.

> **💣 106 million businesses, left unlocked**
>
> Late 2024, Foursquare dumped its **entire** places database open + free: **[Foursquare OS Places](https://huggingface.co/datasets/foursquare/fsq-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](https://duckdb.org)** (free tool that reads giant files on your laptop) — no full download needed:
> 
> ```sql
> 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](https://overturemaps.org)** (Meta + Microsoft + Amazon + TomTom). One line grabs the Saudi map-box: `overturemaps download --bbox=34,16,56,33 -f geojson --type=place`.

> **🔧 rip google maps raw — every café, $0**
>
> The 8,984 count came from Google, so go to the same well.
> 
> **No-code (start here):**
> 
> | Tool | Free | Note |
> | --- | --- | --- |
> | [Instant Data Scraper](https://chromewebstore.google.com/detail/instant-data-scraper/ofaokhiedipichpaobibbnahnkdoiiah) | unlimited | Chrome add-on, auto-grabs the table |
> | [G Maps Extractor](https://gmapsextractor.com) | free tier | quick pulls |
> | [gmplus](https://gmplus.io) | ~40/run | ~18 fields incl. email/social |
> | [Apify Google Maps](https://apify.com/compass/crawler-google-places) | $5/mo ≈ 2,500 | cloud, no PC |
> 
> **Self-hosted (unlimited):**
> 
> | Tool | Free | Note |
> | --- | --- | --- |
> | [omkarcloud](https://github.com/omkarcloud/google-maps-scraper) | 200 searches/mo → **10k+ leads** | desktop app, 50+ fields, email+social built in |
> | [gosom](https://github.com/gosom/google-maps-scraper) | forever | add `-email` → crawls each site for the email |
> 
> Two make-or-break tricks:
> 
> - **120-result cap:** Google returns max ~120 per search. Split by **city/district** , stack results (good scrapers auto-split if the city goes in the city field).
> - **Search Arabic** or miss half: `coffee shop` · `cafe` · مقهى · كافيه · قهوة · كوفي.
> - Run self-hosted on your **home internet** (residential IP = a home address) — Google blocks server-farm IPs fast.
> 
> Official tap: [Google Places API](https://developers.google.com/maps/documentation/places/web-service) throws in thousands of free calls/month.

> **🥷 the saudi stash nobody scrapes**
>
> 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](https://github.com/scrape-do/scrapedo-scrapers/tree/main/hungerstation-scraper) — bend it to pull the store list. Bonus layer for phone gaps.

> **🏛️ the govt left the door open**
>
> - **[Maroof](https://maroof.sa)** — Ministry of Commerce business directory. Each shop links **its website + every social account** on its page. Best free enrichment (enrichment = filling missing columns) — name in, Instagram + site out.
> - **[Saudi Open Data Portal](https://open.data.gov.sa)** — 11k+ official datasets, CSV/JSON, no signup. The [Ministry of Commerce open data](https://mc.gov.sa/en/OpenData) has the commercial registry (name, activity, city, phone), searchable.

> **📬 the 2 columns google buries: emails + socials**
>
> **Emails** (ranked by free yield):
> 
> 1. Crawl the café’s own site — gosom `-email` / omkarcloud built-in. Hits `info@`/`contact@`. Best.
> 2. Free finder tiers: [Hunter](https://hunter.io) (25/mo) · [Apollo](https://apollo.io) (big free tier) · [Snov](https://snov.io) (50) · [QuickEnrich](https://quickenrich.io) (300, no signup). Burn one, rotate.
> 3. [WHOIS](https://who.is) (who-owns-this-site record) — sometimes leaks a contact.
> 
> **Socials** (Instagram is the real prize here):
> 
> - omkarcloud/gosom/gmplus/Apify already grab FB/IG/TikTok/X links off listings + sites.
> - [Apify IG email scraper](https://apify.com/store/email-scraper/scrape-instagram-emails) pulls the email+phone behind the IG “contact” button.
> - OSINT kit (OSINT = digging public info): [Social-Media-OSINT-Tools](https://github.com/osintambition/Social-Media-OSINT-Tools-Collection).
> - Or Maroof + Google `"café name" instagram`.

> **🧵 fuse it into one clean sheet**
>
> - Dedupe by Google **Place ID** (Google’s unique code per business); else by phone; else same name + same spot.
> - Normalize every phone to **+966**.
> - gosom’s built-in “LeadsDB” auto-dedupes, or a one-line spreadsheet/pandas `drop_duplicates`.
> - Re-run every few months — cafés open/close by the hundreds yearly.

> **💸 where this actually prints**
>
> Same method, one payoff: **a free contact list of any business type, any city, on demand.**
> 
> - Sell espresso gear, beans, or POS registers → every café in Riyadh with a phone, cold-call Monday.
> - Run web design / social media as a side gig → filter cafés with **no website** = warm leads who need exactly you.
> - Building a delivery or loyalty app → the whole market mapped free before you spend a riyal on research.
> - Swap “café” for gym, dentist, barber, car wash → any niche, any country, same three clicks.
> - People _resell_ these lists for $299 — you now make them for $0.

**The stack, short:**

```auto
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._

---

<div class="post-metadata">

**Author:** ![system](https://onehack.st/user_avatar/onehack.st/system/32/165705_2.png) [@system](https://onehack.st/u/system)\
**Post date:** [July 1, 2026, 7:54am UTC](https://onehack.st/t/free-leads/323529/3 "2026-07-01T07:54:15Z")

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> [@NoBody](#):
>
> 💰 $299 → $0 · the Saudi coffee-shop list, rebuilt free That SmartScrapers list is just Google Maps + OpenStreetMap scraped an…

**♻ The answer above is now a better, AI-made version from the Core-Community.**