My data
My data brings your own places into a flow: a table you uploaded (right in the block, or on the My data page: your stores, customers, depots, sites) or a list of results you saved. Each row becomes an item with its columns as fields, and latitude and longitude columns become its position, so the blocks after it can search around each place, score it, match it or put it on a map. Use it to start a flow from your own places, or to check the same list on a schedule.
In the editor: Brings in a table you uploaded or a list you saved on the My data page: your stores, customers, target accounts or sites. Use it to start a flow from your own places, or to watch a list every day.
Settings
Use
A settingTables and saved lists from the My data page.
Needed before the flow can run.
At most
Pick oneThe most rows to bring in each run, from the top of the table or list.
- 100
- 500
- 1000
- 5000
What comes out
Each item that leaves the block carries these fields, to use in the blocks after it as {{field}}.
From a table
One item per row, with every column of the table as a field.
(your columns): Each column by its name in the first row, as text.lat, lng: The position, from columns called lat/latitude/y and lng/lon/long/longitude/x.name: Taken from a column called name, title, label, store, site, branch, company or account when there is no name column.
From a saved list
One item per saved result, with the fields it had when it was found.
name, category, city: As the result was found.lat, lng: Its position.status: Its status on the Results page: new, contacted, won or ignored.record_id: The result’s ID, linking back to its record page.
How to use it
What opens near my stores
My data brings in your stores; the scan then looks for new places within 1 km of each one.
Watch my target accounts
A saved list of target accounts, checked every week: each one is looked up on the map for its current rating, status and phone.
Count the cafes near each store
A coffee chain wants to know which of its stores face the most competition.
Each store keeps its own columns (manager, region) and gets places_nearby, so the email reads like your store list.
The nearest depot to every new customer
A delivery company keeps its depots in a table and wants each new customer matched to the closest one.
The same depots table feeds Find nearest; update it on the My data page and every flow that uses it follows.
Weather and surroundings for every site we manage
Your sites have positions, so Weather forecast can work on each of them.
Score our own branch list
A bank uploads its branches and asks how each one’s surroundings have changed this quarter.
Before: The network team rebuilt the analysis by hand every quarter.
With the flow: The sheet fills itself with each branch’s count of shops nearby and a score.
Clinics we already work with, checked for closures
A saved list keeps the clinics you chose on the Results page; looking each one up shows which ones closed.
Good to know
- Upload a CSV or paste a Google Sheet link right in the block’s settings, or use the My data page: up to 5,000 rows and 40 columns. Rows without latitude and longitude get a position from their address or city columns. Rows can also be added through the API.
- Latitude and longitude are read from common column names, with a dot or a comma as the decimal mark. Rows without them still come out, just without a position.
- Column values come in as text; blocks that compare numbers (Filter, Sort) read them as numbers.
- A saved list keeps the fields its results had when they were saved; run them through Map business scan with Each place itself to refresh them.
- The table is read on the server when the flow runs. The editor’s preview shows a few sample rows until then.
- To start a flow when rows are added rather than on a schedule, use the New rows trigger with the same table.
- Free: My data costs no credits.
Works well with
- Map business scan: Finds businesses on online maps live: name, category, rating, address, phone, website and whether it is open.
- Find nearest: For each place, finds the nearest of your own points from a CSV you upload, for example the nearest ambulance to each accident or the nearest branch to each new lead, and adds its name and the distance.
- Match with my table: Looks each incoming item up in one of your tables or saved lists (My data), for example your customers.
- New rows: Starts the flow when new rows appear in a Google Sheet or in a table in My data.
- Weather forecast: The weather forecast (Open-Meteo, from national weather services) for up to 16 days: temperature, rain, wind and UV.
- 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.
- Only new: Lets through only the items this flow has not found before, so a daily flow sends only what is new.
Templates that use it
- What opens near my stores: New places opening within 1 km of each of your stores, every week.
- Watch my target accounts: Check your target accounts every week and get told what changed.
- Who runs the businesses around my stores: Who runs the restaurants and cafes around your stores, every week.
- Changes at my key accounts, with what to do: What changed at your key accounts this week: closures, ratings, phones and websites.
- More businesses like my best customers: Businesses that look like your best customers, near them, not yet in HubSpot.
- Stores competing with each other: Your stores that sit within 1 km of each other, with the people around them.
- Weather-driven promotions per store: A promotion idea for each store when heat or rain is coming.
- How customers rate the cafes around me: How customers rate the best cafes around each of your branches, every week.
- New restaurants opening near my branches: New restaurants opening within 2 km of your branches, by cuisine, every week.
- Alert when a branch’s rating drops: An alert when a branch's rating drops, with where it now stands.
- Rain coming: push delivery at the right branches: When rain is expected, branch managers get a WhatsApp to push delivery promos.
- Monthly satellite pictures of my projects, with a site note: The latest satellite picture of each of your construction sites, every month.
- Roadworks and closures near my projects: Road closures and roadworks near each of your sites, every morning.
- Heavy rain at my properties, with a checklist: An alert to facilities when heavy rain is coming at your properties.
- Customers that closed or moved, with what to do: Customers that closed, moved or changed phone this week.
- Heatwave stock alert for my outlets: When a heatwave is coming, stock advice for your outlets on WhatsApp.
- WhatsApp assistant for shop owners: An AI agent that answers shop owners on WhatsApp from your product list.
- Rating watch for my clients: Every client's rating watched daily, with where it stands when it moves.
- Best neighbourhoods to target ads around a store: The 20 blocks with the most adults around each store, for your ad targeting.
- More reviews for my clients: a request message for each: A ready message for each client to ask happy customers for reviews, every morning.
- Road closures near my depots, every hour: Closures and roadworks near each depot every hour, to dispatch on WhatsApp.
- Rain warning for my delivery hubs: When rain is coming at a hub, a customer notice is ready for the ops team.
- EV charging around my depots: Your depots with no EV charger within 5 km, for your electric fleet plan.
- Public projects from space, every month: A monthly satellite picture of each public project, with the weather.
And 169 more in the template gallery.
Stories with it
- Three days’ warning before the wind (Event catering)
- Six beaches, one van, the right one each morning (Gelato van)
- Every cake order answered while she bakes (Home bakery)
- Water on the shelves before the heat arrives (Supermarkets)
- Website questions that become showroom visits (Furniture)
- Two hundred dealers, checked every Sunday night (Luxury watches)
- Every building site checked from space before payday (Property development)
- Cash machines that follow the street, not last year (Retail banking)
- Every tenant warned before the storm arrives (Property management)
- Twelve fair routes before the officers leave (Microfinance)
- Every monument in Naples, seen from above each week (Heritage protection)
- Forty school buses, no surprise road closures (School transport)
Help articles
- Your own tables and lists (My data): Upload a CSV, save lists of results, and use them in flows.
Guides and terms
- How to score candidate store sites: Compare sites on residents, competitors and neighbours, with an AI score and a reason.
- How to skip your existing customers: Only prospects reach your team, never someone you already serve.
- Data enrichment: Adding details to records you already have.
Industries that use it
B2B sales · Retail & franchise · Restaurants & cafes · Real estate · FMCG & distribution · Marketing & agencies · 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 · 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
Build a flow with My data on the home page, no account needed, or book a call. Try it live