Whatsapp Indonesia Leads Scrape by Places

What does WaReady ID do?

Get WhatsApp-ready local leads from Indonesian cities for outreach, market lists, or research. Pick a city and a place type, then download businesses you can actually message.

You get:

• A place name plus the city and category you asked for
• An Indonesian mobile in +62 format when one is public
• A clickable wa.me link you can open in WhatsApp

{
    "name": "Warung Sederhana",
    "city": "Jakarta",
    "category": "restaurant",
    "phone_e164": "+6281234567890",
    "wa_me": "https://wa.me/6281234567890",
    "lead_ready": true
}

Try the default input (Jakarta restaurants) on Apify. Then export CSV or Excel, or pull the list from the Apify API.

The data comes from public OpenStreetMap places via the Overpass API. This is not a Google Maps scraper and it never logs into WhatsApp.

Why use WaReady ID?

Most map dumps give you pins. This Actor gives you numbers you can open in WhatsApp.

• Lead-gen and outreach teams — build city lists for restaurants, clinics, hotels, salons, and shops, then click wa.me into a campaign.
• Local SEO and listing shops — collect consistent packs for 22 Indonesian cities, from Jakarta and Surabaya to Semarang, Makassar, and Batam.
• Researchers and operators — keep callable places (name, phone, address), not just coordinates.

On Apify you also get scheduling, API access, integrations (Make, n8n, Zapier), run monitoring, and pay-per-event billing so you only pay for WhatsApp-ready rows.

What data can WaReady ID extract?

Field	What it means
name	Place name
city / category	The pack you selected
phone_e164	Indonesian mobile (+628…), or empty if it is a landline
wa_me	https://wa.me/628… when the number is a mobile
lead_ready	true only when both the mobile and the WhatsApp link exist
address	Street address when OpenStreetMap has one
lat / lon	Map coordinates
osm_url	Link to the public OpenStreetMap page

Landlines (021, 031, and similar) stay in the file so you can see coverage. They are marked lead_ready: false and you are not billed for them.

How to scrape WhatsApp-ready Indonesia leads

1. Open the Actor in Apify Console.
2. On the Input tab, pick a city and category (defaults: Jakarta restaurants).
3. Set Max places (1–500, default 50) if you want a smaller sample.
4. Click Start. When the run finishes, open the Output tab.
5. Download JSON, HTML, CSV, or Excel, or pull items from the dataset API.

No coding is required for a first run. Developers can start the same Actor from the API tab.

How much will it cost to scrape Indonesian local leads?

You pay only for WhatsApp-ready rows. The billed event is lead_ready — one charge per place that has a +62 mobile and a wa.me link.

Failed runs and landline-only rows are free.

Example: if the live price is $0.006 per ready lead, then 1,000 WhatsApp-ready leads cost $6. Check the Pricing tab for the exact rate.

A 15–50 place sample is a cheap way to confirm a city before you scale. Runs are HTTP-only (no browser). Memory is capped at 256–1024 MB so compute stays predictable.

Input

See the Input tab for the full form. You only need a city and a category.

Field	Options
City	Jakarta, Surabaya, Bandung, Semarang, Yogyakarta, Surakarta, Malang, Medan, Palembang, Pekanbaru, Padang, Bandar Lampung, Jambi, Makassar, Manado, Denpasar, Mataram, Samarinda, Balikpapan, Banjarmasin, Pontianak, Batam
Category	Restaurant, cafe, hotel, clinic, salon, gym, spa, shop
Max places	1–500 (default 50). The list can include landlines; you only pay for ready rows.

{
    "city": "Jakarta",
    "category": "restaurant",
    "maxItems": 15
}

Output

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

{
    "name": "Warung Sederhana",
    "city": "Jakarta",
    "category": "restaurant",
    "phone_e164": "+6281234567890",
    "wa_me": "https://wa.me/6281234567890",
    "lead_ready": true,
    "address": "10 Jl. Melawai Jakarta",
    "lat": -6.244,
    "lon": 106.801,
    "osm_url": "https://www.openstreetmap.org/node/42"
}

A landline row looks the same except phone_e164 and wa_me are empty and lead_ready is false.

Tips and advanced options

• Start with 15–50 places while you confirm coverage in a city.
• Shop is a broad filter and can take longer in Jakarta.
• Indonesian mobiles like 08xx, 8xx, +62 8xx, and 00 62 8xx are normalized to +628….
• Set a max cost per run in Console if you want a hard spend cap. The Actor stops when that limit is reached.

MAMS HQ reporting

Each run can push telemetry to MAMS HQ so Finance and Tech rooms stay current. Reporting is implemented in src/mams.ts and runs automatically when the env vars below are set. If they are unset, the Actor still works and ingest is skipped.

Variable	Required	Purpose
MAMS_URL	Yes	HQ base URL (e.g. https://your-mams.vercel.app)
MAMS_KEY	Yes	Ingest key sent as x-mams-key header
MAMS_SLUG	No	Business slug in HQ (default waready-id)
MAMS_PUSH_STATUS	No	Set to 1 to POST lifecycle updates to /api/ingest/status
MAMS_STATUS	No	HQ status when MAMS_PUSH_STATUS=1 (building, launched, etc.)
MAMS_PUBLIC_URL	No	Store or product URL for HQ
MAMS_REPO_URL	No	Git repo URL for HQ
MAMS_LAUNCH_DATE	No	YYYY-MM-DD launch date for HQ

What each run reports

• Heartbeat — start and end of every run (/api/ingest/heartbeat)
• Metrics — runs_count, items_out, leads_ready, run_failures, error_count, compute_cost_usd, revenue_usd with per-run dims (/api/ingest/metrics)
• Financials — daily UTC revenue and compute cost, merged in the Actor KV store (/api/ingest/financials)
• Status — only when MAMS_PUSH_STATUS=1 (/api/ingest/status)

Copy .env.example to .env for local apify run. On Apify Console, add the same keys under Settings → Environment variables (never commit live secrets).

FAQ, disclaimers, and support

Does this scrape WhatsApp or Google Maps?

No. It reads public OpenStreetMap place tags. It does not scrape Google Maps and does not log into WhatsApp.

Our Actors do not extract private user data such as email addresses or gender. They only extract what has been shared publicly on OpenStreetMap. Results can still contain personal data (business phones). Personal data is protected by the GDPR in the European Union and by other regulations around the world. Do not scrape personal data unless you have a legitimate reason. If you are unsure, consult your lawyers.

Why are some rows not WhatsApp-ready?

OpenStreetMap often stores landlines. Those rows stay in the dataset so you can see coverage, but they are not charged.

Can I use this from Make, n8n, or my own API?

Yes. Use the API tab, or connect the Actor through Apify integrations. The dataset is the same list you see in Output.

Where do I report issues?

Use the Actor Issues tab. We aim to reply quickly.