xMap data

Nearby places

Nearby places looks in xMap’s own places database, more than 300 million places refreshed every month, for the places of a type around a point: restaurants, cafes, pharmacies, hospitals, gas stations, gyms, banks, hotels, schools and more than 5,000 other types. Put it after your own places to find what is around each one, or to count it: the competitors around a store, the cafes near a site. Every place comes with its distance, brand, whether it belongs to a chain, its rating and reviews, when it opened, a traffic score and how long people stay.

In the editor: Places around a point from xMap’s own places database (300M+ places, refreshed every month): pick the types of place (more than 5,000, such as Restaurant, Cafe, Pharmacy, Hospital or Gas station, or a whole group of them) and how far to look. Each place comes with its distance, brand, whether it is part of a chain, its rating and reviews, when it opened, a traffic score and how long people stay. Around each of your places it can count them instead: the competitors around a site.

Settings

Types of place

A list you type

Empty: every kind of place, one search for each place or point. Or add up to 12 types; each is one search.

Pick from 5,462 choices.

Where

Pick one

Around the places that reach this block when they have a location, otherwise across the Area of interest before it.

  • Automatic
  • Each incoming place
  • Area of interest Each city or area of the Area of interest before this block, from its middle to its edge (at most 25 km).
  • A point One position you type below, with the distance under Within.

Point (latitude, longitude)

Text

The point to look around, as latitude, longitude.

Within

Pick one

Of each incoming place or the point. An Area of interest is searched across its own size.

  • 100 m The same street or building.
  • 250 m
  • 500 m A short walk.
  • 1 km A walk of about 12 minutes.
  • 2 km
  • 5 km
  • 10 km
  • 25 km The largest circle one search covers.

Pass on

Pick one

The places found go on, the nearest first, each with near (which of your places) and distance_m.

  • The places found
  • Each incoming place, with counts Your places go on, each with how many were found around it.

Keep

Pick one

The nearest places first.

  • Nearest first
  • Best rated first

Only places that are open

On or off

Leaves out places the database marks as closed.

Chains

Pick one
  • All
  • Only chains
  • Only independents

Minimum rating

A slider

Opened

Pick one
  • Any time
  • Last 6 months
  • Last 12 months
  • Last 2 years

Only places with a phone or website

On or off

Places you can reach: they have a phone number or a website.

Only this brand

Text

Cover the whole area

On or off

Each city or area is searched from its middle: the nearest places first.

Most places

A number

For each place, point or area searched, the nearest first. Up to 500.

What comes out

Each item that leaves the block carries these fields, to use in the blocks after it as {{field}}.

The places found

Pass on is The places found (or Where is Area of interest or A point). One item per place, the nearest first.

  • name, category: The place and its type, as the database names it.
  • category_group, sector: The wider groups it belongs to.
  • distance_m: How far it is from the place or point searched, in metres.
  • near: Which of your places it was found around (around each incoming place).
  • area: Which city or area it was found in (Area of interest).
  • brand, chain: Its brand when it has one, and whether it belongs to a chain (true or false).
  • status: Open or Closed, as the database last saw it.
  • rating, reviews: Its average rating out of 5 and how many people rated it.
  • traffic_score, avg_stay_min: How busy it is (0 to 100) and how long people stay, in minutes, when known.
  • opened, closed: When it opened, and closed if it did.
  • dining_type, price_level, hotel_stars: For restaurants, hotels and the like, when known.
  • address, street, city, region, postal_code, country: Where it is.
  • phone, website: How to reach it, when known.
  • inside, floor: The mall or building it is in, and the floor, when known.
  • lat, lng: Its position, for maps and the blocks after it.
  • poi_id: Its id in the database, so Only new knows it next time.

Each incoming place, with counts

Where is Each incoming place (or Automatic with places that have a position) and Pass on is Each incoming place, with counts. Your places go on with these fields added.

  • nearby_count: How many places of the types picked are within the distance.
  • nearby_nearest, nearby_nearest_m: The nearest one and how far it is, in metres.
  • nearby_avg_rating: The average rating of those that have one.
  • nearby_chains: How many of them belong to a chain.
  • nearby_<type>_count: With two types or more, the count of each, such as nearby_cafe_count.
  • nearby_within_m: The distance used, in metres.

How to use it

Retail

Competitors around each store

A pharmacy chain wants to know, for every one of its stores, how many other pharmacies are within 500 m and how close the nearest one is.

Counting keeps your stores as the items, so the email lists each store with its own numbers, and a store that suddenly has more competitors stands out.

Real estate

Score a site before the visit

A broker sends candidate sites through a webhook; each one is scored by what is around it before anyone drives out.

Nearby places and Demographics together say how much demand and how much competition a site has, and xMap AI turns them into one score with a reason.

Food and beverage

Independent cafes worth calling

A coffee roaster sells to independent cafes, not to chains, and wants the well-rated ones near its delivery area.

Chains filters out the cafes that buy centrally, and Only new keeps the sales team on places it has not called yet.

Healthcare

Where a new clinic is missing

A heat map of every medical center shows the neighbourhoods with few of them, the places to look at first.

Banking and payments

Merchants around each branch

A payments company wants the shops and restaurants near each bank branch to offer them card terminals.

Around each branch, every place found keeps near (the branch) and its distance, so the field team visits them branch by branch.

Hospitality

What is around each hotel

The counts and the nearest place of each type give xMap AI the facts for a short, true note about each hotel’s surroundings.

Fitness

Gyms opening near our clubs

Only new remembers every gym already found, so a gym that appears in the database near a club is reported once, the day it shows up.

Marketing agencies

The neighbourhood of a campaign

The traffic score and how long people stay say which places nearby get the most visits, the partners worth asking first.

Good to know

  • The data is xMap’s own places database, refreshed every month (each place says when it was last checked). It is not a live search of online maps: for places that opened this week, use Map business scan.
  • Types are the database’s own names, more than 5,000 of them in about 500 groups, such as Restaurant, Coffee shop, Pharmacy, General hospital or Gas station. Pick them from the list as you type, or a whole small group such as Gas Station (all 6 types); common words such as cafes, hospitals, petrol stations or salons are turned into the right types. Up to 12 types a block, groups opened up.
  • A word that is not in the list is searched as written and usually finds nothing; the block says which words are not in it. Each type is one search for each place or point, so a group of 6 types is 6 searches.
  • Leave Types of place empty to find every kind of place: one search for each place or point, nearest first, each place with its own type.
  • One search is one type around one place or point, up to 25 km and the 500 nearest. Around each incoming place: up to 100 places a run and 200 searches. When a search reaches its 500 nearest, the step says there may be more.
  • An Area of interest is searched from the middle of each city or area to its edge, at most 25 km and 8 areas; only places inside the area itself are kept. For a whole country, draw the part you need.
  • Credits are per search sent, plus a small amount for each place passed on. Counting passes on no places, so it costs only the searches. A search that fails is not charged.
  • Places marked closed are left out unless you switch off Only places that are open.

Works well with

  • My data: Brings in a table you uploaded or a list you saved on the My data page: your stores, customers, target accounts or sites.
  • Webhook / API: Starts the flow when another system sends a POST request with a JSON body to this flow’s webhook URL.
  • Area of interest: Sets where the flow looks: countries, cities or specific places, or areas you draw on a map.
  • Only new: Lets through only the items this flow has not found before, so a daily flow sends only what is new.
  • Sort and limit: Puts the items in order, and can keep only the first ones: the 10 best rated, the 20 nearest, the highest fit scores.
  • Filter: Keeps only the items that match a rule.
  • Demographics: Who lives in an area: the number of residents, men and women, and nine age groups, from xMap’s population grid (hexagons of about 0.1 km², about 100 countries).
  • xMap LLM: Tell the AI what to do in plain words.
  • Show on a map: Shows the results as points on a map, with the area of interest.
  • Email: Sends one email per run with all the items, or one email per item.

Templates that use it

And 634 more in the template gallery.

Stories with it

Help articles

Guides and terms

Industries that use it

B2B sales · Retail & franchise · Restaurants & cafes · Real estate · FMCG & distribution · Marketing & agencies · Recruiting & staffing · Logistics & delivery · Government & cities · Investors & consultants · Healthcare & pharma · Hotels & tourism · Banking & lending · Energy & EV · Construction & facilities · Telecom · Automotive & mobility · Education & training · Agriculture & food supply · Fitness, beauty & wellness · Law & professional services · Media & publishing · Events & venues · Non-profits & humanitarian · Security & emergency services · Environment & climate · Ports & shipping · E-commerce & D2C · Manufacturing & industrial · Software & tech · Sports clubs & leagues · Pet care & veterinary · Home services & trades · Food delivery & quick commerce · Airports & aviation · Mining, oil & gas · Public transport · Water & waste utilities · Insurance · Fishing & aquaculture

Try it

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