# Salon & Spa Lead Finder - Vagaro, Boulevard, Booksy, Fresha (`seibs.co/salon-spa-lead-finder`) Actor Enriched Google Maps leads for US independent hair salons, barbershops, nail salons, day spas, med spas, and lash/brow studios. Detects booking/POS (Vagaro, Boulevard, Booksy, Fresha, GlossGenius, Phorest, Mindbody, Square). Major franchises pre-blocked. - **URL**: https://apify.com/seibs.co/salon-spa-lead-finder.md - **Developed by:** [Seibs.co](https://apify.com/seibs.co) (community) - **Categories:** Lead generation, Business, Automation - **Stats:** 7 total users, 4 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $4.00 / 1,000 base lead records This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Salon & Spa Lead Finder > **TL;DR for B2B SaaS, beauty supply, and salon-tech sales reps selling INTO independent salons, spas, barbershops, and nail salons:** Pulls US independent salons, spas, barbershops, nail salons, lash studios, and med-spas from Google Maps with detected booking and PMS software (Boulevard, Vagaro, Mindbody, Booker, Square Appointments, Booksy, GlossGenius, Phorest, Mangomint, Fresha). Compared to compass/crawler-google-places, you get vertical booking-software detection plus chains and franchises (Great Clips, Supercuts, Sport Clips, Massage Envy, European Wax Center, Hand and Stone, Drybar, Ulta, Sephora) pre-blocked. Free Apify plan returns about 1,000 leads per month on your $5 platform credit, then demo samples plus an upgrade message. Upgrade to Apify Starter ($49/mo) for unlimited volume. ### Run it in 30 seconds ```python ## Via the Apify Python SDK from apify_client import ApifyClient client = ApifyClient("") run = client.actor("seibs.co/salon-spa-lead-finder").call(run_input={ "search_terms": [ "hair salon", "nail salon" ], "locations": [ "Los Angeles, CA" ], "enrichment_tier": "premium", "max_results_per_query": 50 }) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) ```` Or via curl: ```bash curl -X POST "https://api.apify.com/v2/acts/seibs.co~salon-spa-lead-finder/run-sync-get-dataset-items?token=" \ -H "Content-Type: application/json" \ -d '{"search_terms": ["hair salon", "nail salon"], "locations": ["Los Angeles, CA"], "enrichment_tier": "premium", "max_results_per_query": 50}' ``` Or click "Try for free" on this page if you prefer the no-code UI. ### What you get Each run produces: - A clean dataset, filterable in the Apify console and downloadable as CSV or JSON - An OUTPUT.html dashboard preview of your top records - A sample-output preview at [`.actor/sample-output.json`](./.actor/sample-output.json) Per-archetype custom artifacts shipped with this actor: - top-leads.csv (HubSpot-ready columns, sorted by confidence\_score) - cold-email-templates.html (per-booking-software pitch with copy-to-clipboard buttons) - stack-breakdown.csv (booking, payments, retail POS per record) *** ### What does Salon & Spa Lead Finder do? Pulls Google Maps listings for US independent hair salons, barbershops, nail salons, day spas, med spas, and lash/brow studios, then enriches each record with website-derived signals: emails, social profiles, booking and POS platforms (Vagaro, Boulevard, Booksy, Fresha, GlossGenius, Phorest, Mindbody, Square), online booking embeds, owner names, year founded, and certifications. Major franchises are pre-blocked so the dataset stays focused on independent operators. ### Features - Google Maps lead extraction across 8 salon / spa types - Major franchises pre-blocked - Three pay-as-you-go enrichment tiers (base, email, premium) - Booking / POS detection (Vagaro, Boulevard, Booksy, Fresha, GlossGenius, Phorest, Mindbody, Square Appointments) - Online booking embed detection (Calendly, Acuity, Vagaro, Mindbody, Schedulicity, etc.) - Role-bucketed emails (sales, support, billing, hr, executive, marketing) - Owner names, employee count, year founded, certifications - Schema.org JSON-LD parsing - Confidence score per record for quality filtering ### What you get Real production output from a sample run on **Smooshine** (Austin, Texas): ```json { "name": "Smooshine", "service_line": "hair_salon", "address": { "city": "Austin", "state": "Texas", "zip": "78705", "lat": 30.2973862, "lng": -97.7417076 }, "phone": "(512) 585-6919", "website": "http://www.smooshine.com/", "rating": 4.9, "reviews_count": 666, "enrichment": { "tier": "premium", "social": { "instagram": "https://www.instagram.com/mastercam.austin" }, "tech_stack": [ "fresha", "wix", "google_tag_manager" ], "year_founded": 1999, "homepage_title": "The X Team | Smooshine", "homepage_status": 200 } } ``` ### Preview (real production data) Single-record snapshot from the same run, rendered as a table: | Field | Value | |---|---| | **Name** | Smooshine | | **Service line** | hair\_salon | | **Location** | Austin, Texas | | **Phone** | (512) 585-6919 | | **Website** | http://www.smooshine.com/ | | **Rating** | 4.9 (666 reviews) | | **Tech stack detected** | fresha, wix, google\_tag\_manager | | **Year founded** | 1999 | | **Social channels** | instagram | *** ### Pricing â€" Pay Per Event | Event | Price | When charged | |---|---|---| | Base record | $0.004 | Always | | Email enrichment | + $0.004 | Email scraped from website | | Premium signals | + $0.007 | Booking/pos (vagaro, boulevard, booksy, fresha, glossgenius, phorest, mindbody) or marketplace presence detected | **Effective:** $0.004 base / $0.008 with email / $0.015 fully enriched. *** ### Use cases Find indie salons in a metro on no detected booking platform â€" that's your no-stack outbound for Vagaro, Boulevard, Booksy. Filter by city + salon type for hyper-targeted lists. Buyers include: Vagaro, Boulevard, Booksy, Fresha, GlossGenius, Phorest, Mindbody competitors; beauty-PE rollups; product distributors. *** ### FAQ **Q: Is this legal?** A: Yes. Every field is sourced from publicly accessible Google Maps listings and public salon / spa websites. No logged-in scraping, no booking-platform back-end access, no data the business did not publish itself. **Q: Why might a run fail or return zero records?** A: The most common cause is the Apify free-plan compute / proxy credit ceiling on large premium runs. The actor soft-fails by default â€" it writes whatever was already enriched and exits cleanly rather than throwing. If a paid run errors, check the log for rate-limit or proxy-bandwidth messages. **Q: Why are Sport Clips, Great Clips, Supercuts, Massage Envy etc excluded?** A: We target boutique independents and small chains because that is where the booking, POS, and marketing-SaaS TAM lives. National chains run enterprise contracts at the brand level â€" individual locations cannot adopt Vagaro / Boulevard / Booksy on their own. They are pre-blocked when `exclude_chains: true`. **Q: How fresh is the data?** A: Live at run time. Google Maps listings reflect the current snapshot; website enrichment reflects the homepage as of `scraped_at`. No stale cache. **Q: Can I schedule daily or weekly runs?** A: Yes. Apify Schedules can run this actor on any cron interval. Pair with a webhook to push only new salons or changed booking platforms into your CRM. **Q: Does it integrate with my CRM?** A: Yes â€" via Zapier, Make, n8n, or direct webhook. Records map cleanly into HubSpot, Salesforce, Pipedrive, Clay, Apollo, and Instantly. See Integrations below. **Q: What does it cost in practice?** A: $0.004 base, $0.008 with email, $0.015 fully enriched. A statewide independent-salon run typically lands in the $20-50 range. *** ### Related Actors Pair this actor with adjacent SEIB intelligence for richer beauty / wellness outbound: - [Google Maps Reviews Pro](https://apify.com/seibs.co/google-maps-reviews-pro) â€" pull review velocity and sentiment to rank salons by growth or churn-risk - [B2B Sales Triggers](https://apify.com/seibs.co/b2b-sales-triggers) â€" detect funding, leadership changes, and hiring spikes to time the pitch *** ### Integrations ``` - Zapier â€" push to HubSpot/Salesforce/Pipedrive/Apollo - Make.com (formerly Integromat) â€" workflow automation - n8n â€" self-hosted automation - Apify webhooks â€" POST to your endpoint - API + dataset export (JSON/CSV/Excel/XML) - MCP / AI agents â€" call from Claude/GPT/LangChain ``` *** ### Salon / spa types covered `hair_salon | barbershop | nail_salon | day_spa | med_spa | lash_brow | tanning_salon | wellness_massage` *** ### What this actor does NOT do (v1) - No SMTP-level email validation - No phone validation - No screenshots - No non-US geographies - No data the source business didn't make public *** ### Example: 1,000 records across major Texas metros ```json { "search_terms": ["hair salon"], "locations": ["Austin, TX", "Dallas, TX", "Houston, TX", "San Antonio, TX", "Fort Worth, TX"], "max_results_per_query": 100, "enrichment_tier": "premium", "service_lines": [], "exclude_chains": true } ``` Cost ceiling: 5 cities Ã- 100 = 500 raw records â†' ~350 after chain filter â†' at $0.015 fully enriched = **~$5-8 for a metro-wide independent salon / spa types list with platform stack mapped**. *** ### Input Configure the run from the Apify Console form or via the API. Key fields: | Field | Type | Description | |---|---|---| | `search_terms` | array | Google Maps queries, e.g. `["hair salon", "barbershop", "nail salon"]` | | `locations` | array | US locations, e.g. `["Austin, TX", "78701"]` | | `max_results_per_query` | int | Cap per (term \* location) tuple, max 500 | | `enrichment_tier` | string | `base`, `email`, or `premium` | | `service_lines` | array | Filter to: `hair_salon`, `barbershop`, `nail_salon`, `day_spa`, `med_spa`, `lash_brow`, `tanning_salon`, `wellness_massage` | | `exclude_chains` | boolean | Drop major franchises (Supercuts, Great Clips, etc.) (default true) | | `max_concurrent_enrichments` | int | Parallel website fetches, default 8 | Sample input: ```json { "search_terms": ["hair salon"], "locations": ["Austin, TX"], "max_results_per_query": 25, "enrichment_tier": "premium", "service_lines": ["hair_salon"], "exclude_chains": true } ``` ### Output **Sample output:** [`.actor/sample-output.json`](./.actor/sample-output.json) â€" copy-paste-ready preview of real-looking records. First record inline: ```json { "place_id": "ChIJY2W0UySwQuOsMqKoImGkEiCgAe8", "name": "Velvet Petal Salon & Spa", "category": "Hair salon", "vertical": "salon_spa", "service_line": "hair_salon", "address": { "street": "6534 Main St", "city": "Scottsdale", "state": "AZ", "zip": "85251", "country": "US", "lat": 33.5272, "lng": -111.9381 }, "phone": "(480) 555-1069", "phone_e164": "+14805550169", "website": "https://velvetpetalsalon.com/", "google_maps_url": "https://www.google.com/maps/place/?q=place_id:ChIJY2W0UySwQuOsMqKoImGkEiCgAe8", "rating": 4.9, "reviews_count": 184, "hours": { "mon": "8:00 AM - 6:00 PM", "tue": "8:00 AM - 6:00 PM", "wed": "8:00 AM - 6:00 PM", "thu": "8:00 AM - 6:00 PM", "fri": "8:00 AM - 5:00 PM", "sat": "Closed", "sun": "Closed" }, "claimed": true, "scraped_at": "2026-05-10T10:23:10Z", "confidence_score": 0.62, "enrichment": { "tier": "premium", "emails": [ "info@velvetpetalsalon.com", "hello@velvetpetalsalon.com" ], "social": { "facebook": "https://www.facebook.com/velvetpetalsalon", "instagram": "https://www.instagram.com/velvetpetalsalon", "linkedin": "https://www.linkedin.com/company/velvetpetalsalon" }, "tech_stack": [ "vagaro", "google_tag_manager", "boulevard_studio", "stripe" ], "license_numbers": [ "AZ-100960" ], "service_area_mentions": [ "Scottsdale", "Phoenix", "Tempe" ], "year_founded": 2014, "fleet_hints": [], "homepage_title": "Velvet Petal Salon & Spa | Scottsdale, AZ", "homepage_status": 200, "bbb": { "accredited": true, "rating": "A+" }, "open_24_7": false, "licensed_bonded_insured": false, "locations_count": 2, "spanish_speaking": false, "linkedin_company": "https://www.linkedin.com/company/velvetpetalsalon", "yelp_url": "https://www.yelp.com/biz/velvetpetalsalon-scottsdale", "third_party_reviews": [], "press_mentions": [], "awards": [], "team_size_hints": [ "5 team members" ], "owner_names": [ "Maria Chen" ], "employee_count": 8, "role_emails": { "executive": [ "mchen@velvetpetalsalon.com" ], "billing": [ "billing@velvetpetalsalon.com" ], "support": [ "support@velvetpetalsalon.com" ], "generic": [ "info@velvetpetalsalon.com" ] }, "financing_processors": [ "affirm", "klarna" ], "payment_processors": [ "stripe" ], "hiring_signals": { "actively_hiring": true, "indicators": [ "careers page link", "we're hiring banner" ] }, "insurance_carriers_accepted": [], "languages_offered": [], "online_booking_platforms": [ "calendly", "vagaro", "boulevard_studio" ], "customer_count_signals": { "customers_served": 1500, "reviews_count": 184, "projects_completed": null, "locations_served": null, "raw_matches": [ "Trusted by 1500+ clients" ] }, "chatbot_platforms": [ "intercom" ], "email_marketing_platforms": [ "mailchimp" ], "lead_capture_ctas": { "has_free_quote_cta": true, "has_get_started_cta": true, "has_appointment_booking": true, "has_callback_request": true, "has_contact_form": true, "cta_count": 3 }, "mobile_app_links": { "has_ios_app": false, "has_android_app": false, "ios_app_id": null, "android_app_id": null }, "certifications_credentials": [ "State Cosmetology License" ], "financing_accepted": [ "credit_card", "cash", "bnpl" ], "growth_signals": { "growth_score": 0.4, "components": { "hiring": 0.6, "employee_scale": 0.4, "multi_location": 0.5 }, "indicators_count": 2 }, "jsonld": { "name": "Velvet Petal Salon & Spa", "phone": "(480) 555-1069", "email": "info@velvetpetalsalon.com", "address": { "street": "6534 Main St", "city": "Scottsdale", "region": "AZ", "zip": "85251" }, "opening_hours": [ "Mo-Fr 08:00-18:00" ], "social_urls": [ "https://www.facebook.com/velvetpetalsalon", "https://www.instagram.com/velvetpetalsalon" ], "aggregate_rating": { "rating": 4.9, "count": 184 }, "employee_count": 8, "founders": [ "Maria Chen" ] } } } ``` Each dataset item is a single salon or spa with the structure shown above in **What you get**. The Apify Console renders two views: **Overview** for a quick scan of name, location, phone, rating, and key enrichment signals, and **Detailed** for every field on every record. Records can also be downloaded as CSV, JSON, Excel, or HTML from the Storage tab. ### FAQ **Q: Where does the data come from?** A: Public Google Maps listings plus public salon/spa website content (homepage, services, contact, about pages). No logged-in scraping. **Q: Are the emails verified?** A: Format-validated and TLD-filtered, but not SMTP-verified. Pipe through NeverBounce or ZeroBounce before cold outreach. **Q: Why are some records missing enrichment fields?** A: Enrichment is best-effort and depends on what the salon publishes on its public website. Use the confidence\_score to filter for richer records. **Q: What is the rate limit?** A: Throttled by Google Maps response time and the max\_concurrent\_enrichments setting (default 8). Plan ~1-2 records per second per concurrent worker. **Q: Can I include franchise locations?** A: Yes, set `exclude_chains: false`. Default is true. ### Save your input as an Apify Task Apify Tasks let you save a configured input once and re-run it with a single click - no need to re-type search terms, locations, filters, or tier settings every time. Tasks are the foundation for everything that comes next: schedules, monitor mode, and webhook routing all attach to a saved Task, not to the raw actor. Steps to save your current input as a Task: 1. On this actor's Apify Store page, click `Run` with your input fully configured. 2. Click the `Save as task` button at the top of the run page. 3. Name the task something memorable (e.g. `Salons in Brooklyn, NY - weekly`). 4. Reload the task page and click `Start` anytime to re-run with the same inputs. Tasks unlock the next two features below: scheduling and monitor mode. ### Run this weekly with Apify Schedules Apify Schedules cron-run any saved Task automatically. Pair this with the saved Task above and you get hands-off recurring runs with no manual clicks, no missed weeks, and a steady stream of fresh data into your CRM or warehouse. Steps to schedule a Task: 1. Save your input as a Task (see above). 2. Go to https://console.apify.com/schedules and click `Create new schedule`. 3. Pick your Task and set the cron expression. Common patterns: - Daily at 9am UTC: `0 9 * * *` - Weekly on Mondays at 9am: `0 9 * * 1` - Monthly on the 1st: `0 9 1 * *` 4. Save. Apify will run your Task on that schedule automatically, push the dataset to whatever integrations you have wired up, and fire run-completion webhooks for downstream automation. Run weekly to keep your prospect list fresh and catch newly-opened salons and spas in your service area. ### Monitor mode (v2, beta) Monitor mode is the v2 evolution of this actor and is currently in BETA. It turns a recurring schedule into a true change-feed instead of a firehose of duplicate records. How it works: - When this actor runs under an Apify Schedule, monitor mode is enabled automatically. - Instead of emitting ALL records every run, it emits ONLY records that are NEW or CHANGED since the last scheduled run. - A digest record summarizes the delta (X new, Y changed, Z removed) at the top of every run. - Optional: provide a Slack or email webhook URL in the `monitor_webhook_url` input field and the digest fires there too, so your team gets the delta in their inbox or channel without polling the dataset. - Cost: a single `scheduled_delta_run` event ($0.05) per scheduled run, plus standard PPE on emitted delta records only. Predictable monthly cost, no surprise bills from re-charging for unchanged records. Monitor mode is rolling out to the top 3 actors first (this one included if it's hotel-motel-lead-finder, google-maps-reviews-pro, or mcp-accounting-firm-leads). Full portfolio coverage by end of June. ### Support Open an issue on this actor's GitHub or reach out via the Apify support page. *** ### More from the SEIB portfolio Same data engine, different vertical â€" pick the one that matches your buyer: - ðŸ"§ [Home Services Lead Finder](https://apify.com/seibs.co/home-services-lead-finder) - 🍽️ [Restaurants Lead Finder](https://apify.com/seibs.co/restaurant-lead-finder) - ðŸš- [Auto Dealerships Lead Finder](https://apify.com/seibs.co/auto-dealership-lead-finder) - 🦷 [Healthcare Practices Lead Finder](https://apify.com/seibs.co/healthcare-practice-lead-finder) - 🧘 [Fitness Studios Lead Finder](https://apify.com/seibs.co/fitness-studio-lead-finder) - ðŸ"Š [Accounting Firms Lead Finder](https://apify.com/seibs.co/accounting-firm-lead-finder) - ðŸ"© [Auto Repair Shops Lead Finder](https://apify.com/seibs.co/auto-repair-lead-finder) - ðŸ-️ [Construction Contractors Lead Finder](https://apify.com/seibs.co/contract-heavy-smb-lead-finder) - 🏨 [Hotels & Motels Lead Finder](https://apify.com/seibs.co/hotel-motel-lead-finder) - âš-️ [Law Firms Lead Finder](https://apify.com/seibs.co/law-firm-lead-finder) - 🏢 [Real Estate Brokerages Lead Finder](https://apify.com/seibs.co/real-estate-brokerage-lead-finder) All 12 actors share the same Pay-Per-Event pricing ($0.004 base / $0.008 with email / $0.015 with premium signals) and output schema. Mix-and-match across verticals without translation logic. Built by [Seibs Management LLC](https://apify.com/seibs.co). ### Found this useful? If this actor saved you time or money, please consider leaving a quick review on the Apify Store. Reviews help other buyers find work that solves their problem and let me prioritize the features paying customers actually use. Leave a review: https://apify.com/seibs.co/salon-spa-lead-finder#reviews # Actor input Schema ## `search_terms` (type: `array`): Google Maps search queries. Example: \['hair salon']. Up to 10 terms per run. ## `locations` (type: `array`): US locations. Format: 'City, ST' or ZIP. Up to 25 locations per run. ## `max_results_per_query` (type: `integer`): Cap per (term × location) tuple. Hard ceiling 500. Hard max 100 to protect compute budget. ## `enrichment_tier` (type: `string`): base = Maps profile only ($0.004/record). email = + scraped email ($0.008/record). premium = + platform/stack detection ($0.015/record). Default 'base' avoids per-record website-visit compute. Set 'premium' to enable deep tech-stack detection (incurs additional compute time). ## `service_lines` (type: `array`): Restrict output to these types. Records that don't classify are dropped before enrichment. ## `exclude_chains` (type: `boolean`): Drop records matching the built-in chain blocklist. Useful when targeting independents for SaaS sales. ## `max_concurrent_enrichments` (type: `integer`): Parallel HTTP fetches against websites. 8 is safe. ## Actor input object example ```json { "search_terms": [ "hair salon" ], "locations": [ "Austin, TX" ], "max_results_per_query": 50, "enrichment_tier": "base", "service_lines": [], "exclude_chains": true, "max_concurrent_enrichments": 4 } ``` # Actor output Schema ## `datasetItems` (type: `string`): Narrow, token-efficient slice of every record. Consumer: LLM agents (Claude, GPT, LangChain tools), MCP hosts, dashboards. SDR-skim fields: name, vertical, service line, city, state, phone, email, website, confidence\_score. ## `datasetItemsDetailed` (type: `string`): All fields for every record. Consumer: humans browsing the dataset in the Apify UI, RAG ingest pipelines, and full backups. Larger payload — not recommended as a direct LLM tool response. ## `datasetItemsUnwind` (type: `string`): Same records, but each element of the `technologies` array is promoted to its own row. Consumer: Zapier / Make / n8n / Google Sheets users who want one row per item, and LLM agents that prefer flat rows over nested arrays. ## `datasetItemsMcp` (type: `string`): First 50 overview records as a clean JSON array. Wrap on the agent side in an MCP tool-call response envelope, e.g. `{ "ok": true, "data": , "meta": { "actor": "salon-spa-lead-finder", "count": , "view": "overview" } }`. Consumer: MCP servers, Claude Desktop, Cursor, OpenAI Assistants tool calls. ## `datasetItemsCsv` (type: `string`): Spreadsheet-friendly export of the overview view. Consumer: humans, sales-ops teams, Excel / Google Sheets users. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "search_terms": [ "hair salon" ], "locations": [ "Austin, TX" ], "max_results_per_query": 50, "enrichment_tier": "base", "max_concurrent_enrichments": 4 }; // Run the Actor and wait for it to finish const run = await client.actor("seibs.co/salon-spa-lead-finder").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "search_terms": ["hair salon"], "locations": ["Austin, TX"], "max_results_per_query": 50, "enrichment_tier": "base", "max_concurrent_enrichments": 4, } # Run the Actor and wait for it to finish run = client.actor("seibs.co/salon-spa-lead-finder").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "search_terms": [ "hair salon" ], "locations": [ "Austin, TX" ], "max_results_per_query": 50, "enrichment_tier": "base", "max_concurrent_enrichments": 4 }' | apify call seibs.co/salon-spa-lead-finder --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=seibs.co/salon-spa-lead-finder", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Salon & Spa Lead Finder - Vagaro, Boulevard, Booksy, Fresha", "description": "Enriched Google Maps leads for US independent hair salons, barbershops, nail salons, day spas, med spas, and lash/brow studios. Detects booking/POS (Vagaro, Boulevard, Booksy, Fresha, GlossGenius, Phorest, Mindbody, Square). Major franchises pre-blocked.", "version": "0.1", "x-build-id": "BzOekq9dNf0oSq3Jy" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/seibs.co~salon-spa-lead-finder/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-seibs.co-salon-spa-lead-finder", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/seibs.co~salon-spa-lead-finder/runs": { "post": { "operationId": "runs-sync-seibs.co-salon-spa-lead-finder", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/seibs.co~salon-spa-lead-finder/run-sync": { "post": { "operationId": "run-sync-seibs.co-salon-spa-lead-finder", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "search_terms", "locations", "enrichment_tier" ], "properties": { "search_terms": { "title": "Search terms", "maxItems": 10, "type": "array", "description": "Google Maps search queries. Example: ['hair salon']. Up to 10 terms per run.", "default": [ "hair salon" ], "items": { "type": "string" } }, "locations": { "title": "Locations", "maxItems": 25, "type": "array", "description": "US locations. Format: 'City, ST' or ZIP. Up to 25 locations per run.", "default": [ "Austin, TX" ], "items": { "type": "string" } }, "max_results_per_query": { "title": "Max results per query", "minimum": 1, "maximum": 100, "type": "integer", "description": "Cap per (term × location) tuple. Hard ceiling 500. Hard max 100 to protect compute budget.", "default": 50 }, "enrichment_tier": { "title": "Enrichment tier", "enum": [ "base", "email", "premium" ], "type": "string", "description": "base = Maps profile only ($0.004/record). email = + scraped email ($0.008/record). premium = + platform/stack detection ($0.015/record). Default 'base' avoids per-record website-visit compute. Set 'premium' to enable deep tech-stack detection (incurs additional compute time).", "default": "base" }, "service_lines": { "title": "Salon / spa types (optional filter)", "uniqueItems": true, "type": "array", "description": "Restrict output to these types. Records that don't classify are dropped before enrichment.", "items": { "type": "string", "enum": [ "hair_salon", "barbershop", "nail_salon", "day_spa", "med_spa", "lash_brow", "tanning_salon", "wellness_massage" ] }, "default": [] }, "exclude_chains": { "title": "Exclude major chains / national franchises", "type": "boolean", "description": "Drop records matching the built-in chain blocklist. Useful when targeting independents for SaaS sales.", "default": true }, "max_concurrent_enrichments": { "title": "Max concurrent website enrichments", "minimum": 1, "maximum": 8, "type": "integer", "description": "Parallel HTTP fetches against websites. 8 is safe.", "default": 4 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```