Google Place ID reverse lookupFrom an opaque ID to a real business record
A Place ID is Google's fingerprint for one location. Reverse lookup turns that string back into a name, address, and contact you can sell to.
Database··7 min read
Key takeaways
A Google Place ID is a unique text string that points to one specific business or location on Google Maps
Reverse lookup resolves that ID back into readable fields: name, address, phone, website, category, and coordinates
Raw IDs are a means, not an end. The goal is a usable lead database inside a mapped CRM you can act on
The Vonsel Chrome extension captures businesses straight from Maps, so you never touch an ID by hand. It is free, no trial, no card
Definition
What is a Google Place ID reverse lookup?
A Google Place ID reverse lookup takes a Place ID, a unique text identifier for a single point on Google Maps, and resolves it back into human readable details such as the business name, full address, phone number, website, category, and latitude and longitude. In short, it turns a string like ChIJN1t_tDeuEmsRUsoyG83frY4 into a record you can read, store, and use for outreach.
A Place ID looks like random characters, but it is stable and specific. Where a business name can be duplicated across a city and an address can be written five different ways, the Place ID points to exactly one entity. That is why Google uses it as the anchor for the rest of its place data. If you want the deeper background, see our primer on what a Google Place ID is and how it differs from a Google CID.
Reverse lookup matters because an ID on its own has no commercial value. You cannot email a Place ID or knock on its door. The value appears the moment you expand it into a contactable business and drop it into a workflow. According to the Google Maps Platform Place ID documentation, the recommended pattern is to store the ID and re-resolve it when you need fresh fields.
Skip the manual ID resolution entirely
Capture businesses straight from Google Maps into a mapped CRM. No API keys, no Place ID juggling.
Whether you use an official endpoint or a browser tool, the logical steps are the same. You start with an identifier and end with an enriched, usable record. Here is the sequence and what each stage produces.
Step
Input
Output
1. Obtain the ID
A search result or a Maps URL
A Place ID string
2. Resolve details
Place ID
Name, address, phone, website
3. Add coordinates
Place ID
Latitude and longitude
4. Enrich signals
Business record
Category, rating, review count, hours
5. Load to CRM
Enriched record
A lead you can contact and map
The official route is Google's own Place Details call, which returns the fields you request against a Place ID. You can test a single lookup with the Place ID Finder tool, then request the specific place data fields you need. This is fine for a handful of IDs. It gets slow and costly the moment you want a whole city, because you are billed per field group and you still have to assemble everything into a database yourself.
The practical route for sales is to skip the ID step altogether. Instead of resolving strings one by one, you capture the businesses directly as you browse Google Maps. That is exactly what a Google Maps scraper Chrome extension does: it reads the listings in front of you and writes finished records, no keys and no ID handling required.
1
Place ID points to exactly one business, no duplicates
27
character prefix (ChIJ) that marks a standard Place ID
0
API keys needed when you capture with the extension
Why it matters
An ID is the means, the database is the end
Reverse lookup is a plumbing task. It is necessary, but no deal was ever closed because you resolved a Place ID cleanly. What moves revenue is what sits on top: a list segmented by niche and area, scored by real buying signals, and ready to contact. Raw IDs and raw CSV rows are the same problem in different clothing, as we cover in Google Maps data vs bought lists.
This is where the Vonsel dashboard changes the shape of the work. The extension is the means, the mapped CRM is the end. Once businesses land inside it, you get context, not just coordinates: Reviews Intelligence surfaces recurring pain points, Sales Intelligence ranks who is worth a call first, and Email Intelligence drafts a tailored AI email per business based on what that specific place is missing.
A Place ID tells you a business exists. A value added database tells you why that business should buy from you this quarter. That gap is the whole job, and it is the reason raw lookup is only the first inch of a much longer workflow.
Because the capture and the CRM are one system, you can reopen a previous scrape and add more businesses to it, attach reviews to places you already captured, and keep a history of every list you built. The identifier disappears into the background where it belongs, and you work with contexts and territories instead. For where the raw fields come from, see Google Maps data fields explained.
Turn Maps listings into a database you can sell from
Capture, enrich, and organize local businesses in a mapped CRM with AI email per lead.
Resolving IDs gives you rows. Deciding which rows matter needs an Ideal Customer Profile. Below is a compact template you can apply to any list once the businesses are enriched, so a thousand records becomes a ranked shortlist. Pair it with our local ICP template for the full version.
Signal
What it tells you
Priority
No website on record
Open lane for web or booking services
High
Rating below 4.0
Reputation pain you can solve
High
Few recent reviews
Low visibility, needs marketing
Medium
Strong rating, many reviews
Established, harder to displace
Low
In your target category and area
Fits the niche you sell to
High
Two of these signals, website presence and review health, are exactly the fields that matter most for local outreach and the ones raw ID resolution rarely hands you cleanly. Vonsel enriches them at capture time, then Sales Intelligence scores each business so your first calls go to the highest priority rows. That is location intelligence in practice: the map is not decoration, it is a filter. You can also read how scraping fits the law before you build a list in our guide to whether it is legal to scrape Google Maps.
Caveats
Things to know before you rely on Place IDs
IDs are stable, not eternal
A merge, move, or data refresh can change a Place ID. Store the ID, but re-resolve periodically so your records do not go stale.
Fields are billed in groups
The official API prices data in field tiers. Pulling contact and atmosphere fields at scale adds up fast, which is why bulk capture is cheaper in practice.
One ID, one entity
The big win: a Place ID deduplicates for you. Two listings with the same name and different IDs are two different places.
You can skip IDs for sales
If your goal is a lead list, capturing finished records from Maps is faster than resolving IDs and stitching a database together yourself.
A Place ID is the address on the envelope. The database is the letter that sells
A Place ID reverse lookup takes a Google Place ID, a unique text identifier for a single business or location, and resolves it back into readable details such as the business name, address, phone number, website, category, and coordinates. It turns an opaque ID into a record you can use.
Is a Google Place ID permanent?
Place IDs are stable for most places but not guaranteed to be permanent. A business can be merged, moved, or refreshed, which can change its ID. Google recommends storing the Place ID and re-resolving it periodically so your database stays current.
How do I turn a list of Place IDs into a lead database?
Resolve each Place ID to its full details, add the fields that matter for outreach such as website presence and review signals, then load the records into a CRM. The Vonsel Chrome extension captures businesses directly from Google Maps and sends them into a mapped CRM, so you skip manual ID resolution entirely.
Add Chrome Extension