Coworking Leads Extractor (Google Maps, Emails, Socials, Phone) avatar
Coworking Leads Extractor (Google Maps, Emails, Socials, Phone)

Pricing

from $7.00 / 1,000 results

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Coworking Leads Extractor (Google Maps, Emails, Socials, Phone)

Coworking Leads Extractor (Google Maps, Emails, Socials, Phone)

Developed by

Lucas Reyre

Lucas Reyre

Maintained by Community

Turn Google Maps queries into an enriched list of coworking spaces: name, category, rating, reviews, phone (international), website, contact page, emails, socials, address, Maps URL. Niche-tuned filters + quality score (gold/silver/bronze). CSV/JSON + Apify Dataset export.

5.0 (1)

Pricing

from $7.00 / 1,000 results

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2

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Last modified

4 days ago

Coworking Leads Extractor — Google Maps Scraper (Emails, Socials, Phone)

Apify Actor · CSV/JSON export · Ready-to-prospect coworking lists

Get a clean, enriched coworking spaces lead list from Google Maps in minutes.

  • Core fields: name, category, rating, reviews, phone (international), website, contact page, emails, socials, address, Google Maps URL
  • Quality score + tiers to prioritize the best spaces (gold / silver / bronze)
  • 🌍 International-ready: phone normalization by country, multi-language category cleanup
  • Fast & stable: Playwright, safe concurrency, resource blocking
  • 📦 Exports to Apify Dataset, CSV and JSON

Keywords: coworking scraper, Google Maps coworking, coworking leads extractor, coworking emails, coworking contact list, B2B lead generation coworking, Apify actor coworking.

Sample


What you get

A CSV ready to prospect with:

  • Business: name, category, address_full, maps_url
  • Trust: rating, reviews_count
  • Contact-ready: phone (+XX international), website, contact_page_url, email_1, email_2
  • Social presence: linkedin_company, instagram, facebook, x
  • Prioritization: quality_score (0–1) and tier (gold/silver/bronze)

Why a niche actor for coworking?

Generic “Google Maps Scraper” tools are crowded and produce noisy data.
This actor is coworking-focused:

  • Category detection tuned for coworking / shared office / workspace (multi-language)
  • Directory filtering (Yelp, Yellow Pages, etc.)
  • Scoring model biased towards contactability (emails + website + LinkedIn)
    Higher conversion, cleaner exports, less manual cleanup.

How to use (Apify UI — no code)

  1. Open the Actor on Apify.
  2. Fill Location (e.g. Lisbon, Portugal, Paris, France).
  3. (Optional) Keep Query = coworking or tweak to coworking space, shared office, etc.
  4. Add filters (rating/reviews/has website) if needed.
  5. Run → Download your CSV / JSON from the run’s Dataset.

Good starting examples

  • Location: Lisbon, Portugal · Max results: 60 · Min reviews: 5 · Has website: ✅
  • Location: Paris, France · Max results: 100 · Min rating: 4.2
  • Location: Berlin, Germany · Max results: 80 · Min reviews: 10 · Has website: ✅

Input fields

FieldDescription
LocationCity/region (+country for phone normalization). Example: Lisbon, Portugal.
QuerySearch term (defaults to coworking). You can use coworking, coworking space, shared office, workspace, etc.
Max resultsTarget number of results (typical: 50–200).
ConcurrencyHow many detail pages open in parallel (1–8).
Minimum ratingKeep only spaces with rating ≥ this value (e.g., 4.2).
Minimum reviewsKeep only spaces with at least this many reviews.
Must have websiteKeep only spaces that have a website.
Export resultsAlso save local results.csv and results.json (in addition to the Apify Dataset).

Tip: Include the country in Location for better phone normalization.


Output sample (CSV columns)

namecategoryratingreviews_countphonewebsitecontact_page_urlemail_1email_2facebookinstagramlinkedin_companyaddress_fullmaps_urlquality_scoretier

Pricing

This actor uses Apify compute units (CUs) — billed by Apify.

  • 🆓 Free trial: up to 0.2 CU (≈ ~20 results) for new users
  • 💳 Pay as you go: at your Apify account rate (default ~$0.25 / CU)
  • 📈 Indicative usage:
    • ~1 CU → ≈ 100 results
    • ~10 CU → ≈ 1,000 results
    • ~50 CU → ≈ 5,000 results

Actual CU usage varies with city density, filters, and website enrichment timeouts.


Best practices

  • Keep Concurrency ≤ 6 for stability.
  • Use Minimum reviews to target established spaces.
  • Prefer Location with country (e.g., Paris, France) to normalize phones.
  • If you need more emails, enable Has website and raise Min reviews.

FAQ

I get fewer results than requested.
Google Maps may cap the visible list. Try more specific queries, reduce concurrency, or re-run.

Why few emails on some websites?
Not every domain exposes emails. We scan the homepage and the Contact page if detected.

Directories (Yelp, etc.) appear.
We filter most directories by name/domain, but noise can occur. You can tune queries and filters to reduce it further.

Phone format seems inconsistent.
Add the country in Location to improve normalization to international +XX format.

Compliance: Always follow source Terms and applicable laws when scraping and contacting businesses.


Roadmap

  • City / country fields parsed separately
  • Opening hours & amenities (meeting rooms, phone booths, 24/7)
  • Optional export to Google Sheets / Airtable / CRM
  • Advanced niche-aware scoring and tagging

Support & feedback

Issues, feature requests, or custom niches (real estate, medical, education)?
Open an issue or contact us via the Actor page.


🇫🇷 Version française — Extracteur de Leads Coworking (Emails, Réseaux, Téléphone)

Transformez une recherche Google Maps en liste de leads d’espaces de coworking enrichie et prête à prospecter.

  • Champs clés : nom, catégorie, note, avis, téléphone (international), site, page contact, emails, réseaux sociaux, adresse, URL Google Maps
  • Score qualité + tiers (gold/silver/bronze) pour prioriser
  • 🌍 International : normalisation du téléphone par pays, nettoyage multi-langues des catégories
  • Rapide & stable : Playwright, concurrence maîtrisée, blocage sélectif des ressources
  • 📦 Export Dataset Apify, CSV et JSON

Utilisation (UI Apify — sans code)

Renseignez Location (ex. Paris, France) et laissez Query = coworking (par défaut).
Ajoutez des filtres (note/avis/site) si besoin, puis lancez et téléchargez le CSV/JSON.

Bons réglages de départ

  • Location: Lisbon, Portugal · Max results: 60 · Min reviews: 5 · Has website: ✅
  • Location: Paris, France · Max results: 100 · Min rating: 4.2

Conformité : respectez les CGU des sources et la réglementation (prospection, données, RGPD).