HERE WeGo Places Scraper

Scrape points of interest (POIs) / places from HERE — the maps provider behind the HERE WeGo app — without an API key or account. Search by keyword, browse by category, or list what's near a point, and get clean structured rows: name, category, full address, coordinates, phone, website, opening hours, and rating when available.

It talks to HERE's own Places API directly (the same one the HERE WeGo mobile app uses), so it's fast and returns structured JSON — no headless browser, no HTML parsing. A drop-in alternative to a Google Maps place scraper, backed by HERE's global POI dataset.

What you can do

• Keyword search — "coffee", "hardware store", "pharmacy" near a place.
• Category browse — every Restaurant / Hotel / Landmark near a point, no keyword needed.
• Nearby lookup — everything around a specific lat,lng.
• Lead generation & location intelligence — names, addresses, phones, websites and coordinates for businesses in an area.
• Store/competitor mapping, geo datasets, address enrichment.

Input

Field	Type	Default	Description
location	string	–	Required. Area/city name ("Berlin", "San Francisco") or "lat,lng" ("52.52,13.405"). This is the anchor point the search runs around.
q	string	–	Keyword to search ("coffee", "restaurant", "hotel"). Optional if a category is given.
category	select	–	Restrict to a place category (dropdown): Restaurant, Coffee & Tea, Museum & Nightlife, Landmark & Attraction, Hotel & Lodging, Gas Station, Hospital & Health Care, Government & Community.
maxItems	integer	50	Max POI rows to return. HERE caps a single search at ~100 results.
language	select	en	Response language for names/categories.
proxyConfiguration	proxy	Apify Proxy	Proxy routing. Apify Proxy is on by default.

You must provide a location (a name to geocode, or coordinates) — HERE Places search needs an anchor point. At least one of q or category is expected.

Usage & examples

1) Keyword search near a place

{ "q": "coffee", "location": "San Francisco", "maxItems": 20 }

→ one row per place:

{
  "placeId": "here:pds:place:8409q8yy-f095baace59a4098ada28e34a27bfaa1",
  "name": "STARBUCKS",
  "category": "Coffee Shop",
  "categories": ["Coffee Shop"],
  "addressLabel": "STARBUCKS, 150 Van Ness Ave, San Francisco, CA 94102-5200, United States",
  "street": "Van Ness Ave",
  "houseNumber": "150",
  "postalCode": "94102-5200",
  "city": "San Francisco",
  "state": "California",
  "country": "United States",
  "countryCode": "USA",
  "lat": 37.77707,
  "lng": -122.41936,
  "distance": 18,
  "phone": [],
  "website": ["https://www.starbucks.com"],
  "email": [],
  "openingHours": ["Mon-Fri: 04:30 - 20:00", "Sat: 05:00 - 21:00", "Sun: 05:00 - 20:00"],
  "isOpen": true,
  "rating": null,
  "reviewCount": null,
  "ratingSupplier": null,
  "photos": []
}

2) Browse a whole category (no keyword)

{ "category": "500-5000-0000", "location": "Las Vegas", "maxItems": 30 }

→ every Hotel & Lodging place near Las Vegas (same row shape as above). Pick the category from the dropdown; it maps to HERE's category id for you.

3) Around specific coordinates

{ "q": "museum", "location": "48.8566,2.3522", "maxItems": 20 }

→ museums around that point (central Paris), each with its own distance (metres) from the anchor.

Output fields

Field	Description
placeId	Stable HERE place identifier
name	Place name
category / categories	Primary category / all categories
addressLabel	Full formatted address
street, houseNumber, postalCode, city, state, country, countryCode	Address parts
lat, lng	Coordinates
distance	Metres from the search anchor
phone, website, email	Contact arrays (may be empty)
openingHours	Human-readable opening hours (array)
isOpen	Whether it's open at scrape time
rating, reviewCount, ratingSupplier	Rating when HERE provides one (often null)
photos	Photo URLs when available

Pricing

Pay-per-result: $2.00 per 1,000 POI rows ($0.002 per row). You pay only for the places returned — a search that matches nothing costs nothing.

Notes & limits

• No account or API key needed — the actor authenticates with HERE for you.
• ~100 results per search: HERE caps a single query at about 100 places. To cover more, run several searches with narrower keywords, tighter categories, or different lat,lng anchors.
• Rating/reviews are sparse: HERE's dataset focuses on business/address data; rating, reviewCount and photos are frequently null/empty. Use a Google/Yelp scraper if reviews are your priority.
• Invalid location fails fast with a clear message ("Could not find location '…' — check the spelling, or pass coordinates as 'lat,lng'.").

FAQ

Do I need a HERE API key? No.

How do I get more than ~100 results? Split by category, keyword, or geographic anchor and run multiple searches — HERE limits each individual search to ~100.

What export formats? JSON, CSV, Excel, XML, JSONL, or live via the Apify API.

Is scraping this legal? You are responsible for how you use the data. Scrape only public place data and comply with HERE's Terms and applicable law (e.g. GDPR/CCPA for any personal data).