Scrape cafes in Parisfrom Google Maps into a mapped lead list
Paris runs on coffee. Here is how to turn that dense map of cafes into a clean, contactable list you can actually sell to, using a free Chrome extension.
Markets··7 min read
Key takeaways
Search Google Maps by arrondissement, not the whole city, because a single result set caps at about 120 places
A free Chrome extension captures each cafe with name, address, phone, rating, and website, then enriches the site for an email
The scrape is only the raw material: the value comes when Paris cafes land in a mapped CRM with AI emails and review insights
Why Paris cafes
A dense, high-intent local market
Few cities have a cafe map as thick as Paris. Walk any street in the 3rd, the 11th, or Montmartre and you pass a coffee counter every few doors. For anyone selling to hospitality (payment terminals, coffee suppliers, delivery apps, booking software, or web design) that density is a gift, because a small area holds hundreds of qualified prospects.
The problem is that this market lives inside Google Maps, and Maps is built for browsing one place at a time, not for exporting a list. You can scroll, click, and copy for hours, or you can capture the whole result set in one pass. This guide covers the second option: how to scrape cafes in Paris cleanly, and what to do with the list once you have it.
Scraping public business details (a cafe name, its street, its phone) sits on solid ground because it is business contact data, not private personal information. If you plan to store and email those contacts, read our note on whether it is legal to scrape Google Maps and keep GDPR in mind before any outreach in France.
Turn the Paris cafe map into a list
Install the Vonsel extension, open Google Maps, and capture a whole arrondissement of cafes in one pass. Free download. No trial, no credit card.
The Vonsel extension is the means here: it does the tedious capture. The end is a working database inside the Vonsel dashboard. The capture itself is simple once you know how Paris is shaped.
1. Pick the right query. Open Google Maps and search something specific: cafe Paris 11e, coffee shop Le Marais, or salon de the Paris 6. French listings mix "cafe", "coffee shop", and "salon de the", so run a few variants to catch the whole niche. A bulk keyword search lets you queue those variants instead of typing them one by one.
2. Capture the visible results. With the extension open, click the Vonsel pop-up on the Maps page and let it walk the list. It reads each card and stores the name, full address, phone, star rating, review count, category, and website. This is the same core flow described in our guide on how to scrape Google Maps.
3. Enrich for emails. A cafe listing rarely shows an email. Vonsel can visit each captured website in the background and pull the contact email, phone, and social profiles from it, so your list arrives with a real inbox to reach, not just a map pin. See how to extract emails from Google Maps for the detail.
4. Export or send to the dashboard. From here you can push the data to CSV, or keep it inside Vonsel where every cafe becomes a card in a mapped CRM.
Covering the whole city
Split Paris by arrondissement
Google Maps limits a single result set to roughly 120 places, a cap Google enforces to keep the interface responsive. Paris holds far more cafes than that, so one search will never give you the city. The fix is to divide and conquer.
Paris is already divided for you into 20 arrondissements, spiralling out from the center. Run one capture per arrondissement and you cover the whole city without hitting the limit. Because you can scrape an entire city on Google Maps zone by zone, the arrondissement map becomes a natural grid.
Zone
Search query
Cafe density
Le Marais (3e / 4e)
cafe Le Marais Paris
Very high
Bastille / Oberkampf (11e)
coffee shop Paris 11e
Very high
Saint-Germain (6e)
salon de the Paris 6
High
Montmartre (18e)
cafe Montmartre
High
Latin Quarter (5e)
coffee Paris 5e
Medium
La Defense (business)
cafe La Defense
Medium
One capture per row and you have a defensible map of Parisian coffee. To keep growing the same list rather than starting over, resume a capture later: reopen the scrape, add the next arrondissement, and the new cafes merge in without duplicating what you already collected.
20
arrondissements to cover Paris without hitting the result cap
~120
places Google returns per single Maps search
1
free extension, no trial and no credit card to start
Beyond the CSV
A raw list is not a pipeline yet
Here is where most Google Maps scrapers stop and where the real work begins. A CSV of 900 Paris cafes is a spreadsheet, not a sales process. You still have to decide who to contact, what to say, and when to visit. That gap is the whole reason Vonsel exists.
Inside the dashboard, every captured cafe becomes a pin on a mapped CRM. You see your Paris coverage at a glance, group cafes by arrondissement, and plan a walking route through the 11th for a single afternoon of door-to-door visits.
Three built-in layers turn the list into context you can sell on:
Reviews Intelligence
Add reviews to captured cafes and let AI surface the pain points. A cafe with repeated complaints about slow card payments is a warm lead for a terminal seller.
Email Intelligence
Vonsel drafts an AI email tailored to each business, referencing its niche and even its review themes, so your first message to a Montmartre cafe does not read like a template.
Sales Intelligence
Every cafe arrives as a value-added record, contextualized with rating, volume, and website signals, so you prioritize the 40 best cafes instead of blasting all 900.
Website enrichment
The background enrichment pulls emails, phones, and social profiles from each cafe site, so your list is contactable the moment the capture finishes.
A scraper answers "who are the cafes in Paris". A mapped CRM answers "which of them should I contact first, what do I say, and when do I walk there". Vonsel does the second job, and the extension just feeds it.
Build your Paris cafe database
Capture the map, enrich the emails, and work the list inside a mapped CRM. Free download. No trial, no credit card.
A few habits keep your Paris cafe project both useful and compliant. Capture only the public business fields you actually need. Google documents these place attributes in the Places API overview, which is a helpful reference for what each field means, even when you capture from the browser rather than the paid API.
Keep the list fresh. Cafes open, close, and rebrand constantly in Paris, so a scrape from six months ago will carry dead pins. Reopen the capture, re-run the busiest arrondissements, and let new cafes merge in. Because the whole flow runs inside a normal Chrome tab (the extension is built on the standard Chrome extension platform), there is nothing to install beyond the browser you already use.
Finally, respect the inbox. Business email outreach in France falls under the GDPR, and the French regulator, the CNIL, publishes clear guidance on B2B prospecting. Personalize with the review pain points Vonsel surfaces, keep volume sane, and your open rates will thank you.
Want to apply the same playbook to other niches? The method transfers cleanly to restaurants across the city, or to a different market entirely such as restaurants in London. The pattern is always the same: split the map, capture, enrich, then work the list.
The scrape gives you every cafe in Paris. The dashboard tells you which ones to sell to
Start with the Paris map
Add the free extension, capture one arrondissement, and see your cafes land in a mapped CRM. Free download. No trial, no credit card. Scrape by location or go nationwide in France.
Open Google Maps, search a query like cafe Paris 11e or coffee shop Le Marais, then run the free Vonsel Chrome extension over the results. It captures each cafe with name, address, phone, rating, and website, and can enrich the site to pull an email. You then export to CSV or send the list into a mapped CRM.
Is it legal to scrape cafe data from Google Maps in Paris?
Scraping publicly listed business information such as a cafe name, address, and phone is generally low risk because it is business contact data, not private personal data. In France you must still respect the GDPR when you store and email contacts. Treat this as a workflow overview and confirm your own compliance before outreach.
Why does Google Maps only show about 120 cafes per search?
Google Maps caps a single result set at roughly 120 places. To cover every cafe in Paris you split the city by arrondissement or neighborhood, run one capture per zone, and reopen the same scrape later to keep adding more without losing what you already collected.