Lead Finder by WappBlaster

Google Maps leads for coworking spaces

How to build a complete, de-duplicated list of coworking spaces for any city: the search terms that surface the category, what a metro actually yields, and the outreach approach that fits how this niche buys.

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The numbers for this niche

  • Search terms that surface the category: "coworking space", "shared office" plus your target city.
  • Typical de-duplicated list size: 50-400 per metro.
  • Email discovery expectation: Medium. 25-40%.
  • Best first channel: Phone-first for residential operators, email for commercial ones.

A single Google Maps search returns roughly 120 results however many coworking spaces actually exist, because the ceiling applies per query, not per city. The counts above are only reachable with grid extraction: subdivide the metro into cells, search each one, merge, and de-duplicate on place ID.

Step by step: extracting coworking spaces

  1. Open Lead Finder and enter coworking space plus your target city, for example "coworking space, Manchester".
  2. Enable the grid sweep so coverage extends past the 120-result cap. Dense metros justify a finer grid.
  3. Let the sweep run; progress auto-saves per cell, so a dropped connection resumes rather than restarts.
  4. Re-run with the alternative terms ("shared office") since Google's category matching is inconsistent, then de-duplicate the merged export.
  5. Export to CSV with every field, and clean before outreach: closed listings out, phones to E.164, then segment.

What to know about coworking spaces data specifically

Split commercial from residential operators early, because they are different buyers with different ticket sizes. Website prevalence is mid-range and review counts separate the professionalised operators from the rest.

Segment by review count before anything else. In this category as in every other, a business with a handful of reviews and one with hundreds are different buyers with different budgets, and the review count is in the export at no extra effort. For the field-by-field reliability of everything else, see what Google Maps data is worth trusting.

Who buys these lists, and the pitch that works

The steady buyers of coworking spaces lists: b2b service vendors, community platforms, corporate flex-desk brokers.

The angle that converts: Member-service partnerships: every space resells services (coffee, IT, insurance) to its members.

Cost of building this list

With a flat licence ($20/year, unlimited rows), a full metro sweep of coworking spaces costs the same as a ten-row test, which changes behaviour: you sweep the whole city and refresh quarterly instead of rationing queries. Per-row cloud tools price the same sweep by volume; the comparison covers where each model wins.

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Frequently asked

How many coworking spaces can I extract from one city?
Typically 50-400 per metro after de-duplication, depending on metro size. A single Google Maps search stops at roughly 120 results regardless of the real count, so full coverage requires grid extraction: the metro is divided into cells, each cell is searched separately, and results are merged and de-duplicated on place ID.
What data does the export include for coworking spaces?
Business name, phone number, website URL, full address, latitude and longitude, star rating, review count, category, opening hours where published, and social links where listed. Medium. 25-40%. Email is discovered from the linked website rather than the listing itself, because Google Maps has no email field.
Who buys coworking spaces lead lists?
The consistent buyers are b2b service vendors, community platforms, corporate flex-desk brokers and similar businesses selling into the niche. The outreach angle that converts best: member-service partnerships: every space resells services (coffee, IT, insurance) to its members.