Yelp Business Analyzer | $3/1K | Reviews, Hours, Tech Stack
Pricing
from $3.00 / 1,000 business-scrapeds
Yelp Business Analyzer | $3/1K | Reviews, Hours, Tech Stack
Deep intelligence on any Yelp business: real-time ratings & reviews, structured weekly hours with is-open-now, geo coordinates, business listing age, website tech stack (20+ platforms), popularity score, customer segment, chain detection. 5 public data sources combined. Pay-per-use $3/1K.
Pricing
from $3.00 / 1,000 business-scrapeds
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Apivault Labs
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Yelp Business Analyzer | Lead Score, Tech Stack, Outreach Pitch
Deep business intelligence for any Yelp business page. Real-time ratings, structured weekly hours with is-open-now, business listing age, website tech stack (50+ platforms), emails (with CloudFlare decoder), social profiles, lead score, and ready-to-paste industry-specific outreach pitches — all in one API call.
Built for B2B lead-gen agencies, competitive research, directory builders, local SEO tools, and CRM enrichment pipelines.
🚀 What you get for $0.003 per business
For every Yelp URL analyzed, you get a single rich JSON record combining 8 public data sources + 30+ derived intelligence signals. No proxies, no logins, no API keys.
⭐ Core fields (real-time, no cache)
- Business name, rating, review count
- Categories, price range
- Full address, phone, website, hours, neighborhood
- Profile image, amenities
🕐 Hours Intelligence
- Structured weekly schedule — one entry per day with opens/closes
- Total hours per week, days open count (1-7)
- Open weekends, has 24-hour day
- Real-time
is_open_nowcheck (UTC-aware)
🛠️ Website Tech Stack — 50+ platforms detected
- E-commerce: Shopify, WooCommerce, BigCommerce, Magento, Wix, Squarespace, Webflow, Square Online, Weebly, Duda, Ecwid
- Restaurant tech: OpenTable, Resy, Tock, SevenRooms, Yelp Reservations, BentoBox, ChowNow, Toast, Olo
- Delivery: DoorDash, Uber Eats, Grubhub, Postmates, Caviar, Slice, ezCater
- Booking: Calendly, Acuity, Mindbody, Vagaro, Booksy, Square Appointments
- Payments: Stripe, PayPal, Square POS, Clover, Lightspeed, Apple Pay, Google Pay, Klarna, Affirm, Afterpay
- Marketing: Mailchimp, Klaviyo, Constant Contact, ActiveCampaign, HubSpot
- Analytics: GA, GTM, Facebook Pixel, TikTok Pixel, Hotjar, Microsoft Clarity
- Reviews: Yotpo, Trustpilot, Judge.me
- Chat: Intercom, Zendesk, Drift, Tidio
- Plus server headers, HSTS, alive check
📞 Contact Enrichment (pulled from the website)
emails_from_website[]— with CloudFlare email decoder (recovers ~25% obfuscateddata-cfemailspans) + 4-layer protection (TLD whitelist, CDN blacklist, lookbehind regex)phones_from_website[]— strict regex with separator requirementsphoneE164+phoneTel— primary phone in international format with click-to-call URLsocial_profiles{}— Instagram, Facebook, Twitter/X, TikTok, YouTube, LinkedIn, Pinterest URLsmenu_url,booking_url,delivery_urls[]— actionable links
🔍 SEO + Mobile-Friendliness Audit
seo_title,seo_meta_description,seo_canonical,seo_og_tags{}seo_h1_countmobile_has_viewport,mobile_has_responsive_css,mobile_friendlyseo_hygiene_score(0-100)
🏷️ Structured Amenities — 28 boolean flags
Free-text amenities → easy-to-filter booleans:
has_outdoor_seating,accepts_reservations,offers_takeout,offers_deliveryaccepts_credit_cards,accepts_contactless,wifi_available,parking_availablewheelchair_accessible,good_for_kids,good_for_groupsserves_alcohol,has_happy_hour,vegan_options,vegetarian_options,gluten_free_optionsserves_breakfast/brunch/lunch/dinner,open_late_nightdog_friendly,has_tvs,live_entertainment,private_dining,bike_parking,has_health_score
⏱️ Business Listing Age
- Earliest Wayback Machine snapshot of the Yelp page
business_listing_age_years,estimated_first_listed_year
🎯 Lead Score & Best Contact
leadScore(0-100) — composite of website health, modern tech, contact data quality, popularity, SEO hygiene, quality tierleadTier—cold/warm/hot/scorchingleadScoreReasons[]— explainable signalsbestContact: {channel, value, label}— most actionable handle (priority: email > E.164 phone > IG > FB > LinkedIn > website)
💬 Industry-Specific Outreach Pitch
outreachPitch — ready-to-paste cold-outreach message tailored to the business category. 15 industry templates matched against Yelp categories:
- 🍽️ Restaurants / cafes / bars / bakeries
- 💇 Salons / spas / barbers / nail / beauty
- 🏥 Dentists / chiropractors / medical / clinics
- 🚗 Auto repair / mechanic / car wash
- 🔧 Plumbing / electric / HVAC / roofing / handyman
- ⚖️ Law firms / attorneys
- 🏘️ Real estate / realtors / brokers
- 💪 Gyms / yoga / pilates / fitness
- 🏨 Hotels / motels / lodging
- 🛍️ Retail / boutiques / gift shops
- 🐕 Pet care / veterinary / grooming
- 💍 Wedding / catering / events / DJ / florist
- 🧹 Cleaning / janitorial / laundry
- 🎓 Daycare / tutoring / education
- 💼 Financial / accounting / tax / insurance
Plus a sensible generic fallback for any other category.
📊 Derived Intelligence
popularity_score(0-100),customer_segment,quality_tieronline_presence_score(0-100),chain_likelihood_score,service_offerings_countis_open_now,open_weekends
🌍 Optional Geocoding
Set extractGeocoding: true to add latitude / longitude via Nominatim (off by default — Nominatim is rate-limited).
📦 Input
{"businessUrls": ["https://www.yelp.com/biz/tartine-bakery-san-francisco","https://www.yelp.com/biz/the-french-laundry-yountville"],"exportFormat": "default","excludeChains": false,"maxConcurrency": 2}
| Field | Description | Default |
|---|---|---|
businessUrls | Yelp business pages (yelp.com/biz/...) | required |
extractCore | Thunderbit core fields (name, rating, hours…) | true |
extractHoursIntel | Structured weekly schedule + is-open-now | true |
extractWebsite | Detect 50+ platforms tech stack | true |
extractContactEnrichment | Emails + phones + social profiles + action links | true |
extractAmenities | 28 boolean amenity flags | true |
extractAge | Wayback listing age | true |
extractGeocoding | Add lat/lng via Nominatim | false |
extractDerivedSignals | popularity, segment, quality, chain | true |
extractLeadScore | leadScore + bestContact | true |
extractOutreachPitch | Industry-specific outreach pitch | true |
excludeChains | Skip chain-likelihood ≥ 50 | false |
exportFormat | default (full JSON) or csv (sales-ready flat) | default |
writeSummary | Aggregate summary to KV store on bulk runs | true |
maxConcurrency | Parallel businesses (1-5) | 2 |
timeout | Seconds per business (60-300) | 180 |
📖 Sample Output
{"success": true,"inputUrl": "https://www.yelp.com/biz/tartine-bakery-san-francisco","yelpBusinessId": "tartine-bakery-san-francisco","businessName": "Tartine Bakery","rating": "4.2","rating_normalized": 4.2,"reviewsCount": "9200","reviewsCount_int": 9200,"priceRange": "$$","categories": "Bakeries, Cafes, Desserts","address": "600 Guerrero St, San Francisco, CA 94110","phone": "(415) 487-2600","phoneE164": "+14154872600","phoneTel": "tel:+14154872600","website": "https://tartinebakery.com","neighborhood": "Mission","weekly_schedule": [{"day": "Monday", "opens": "07:30", "closes": "18:00"},{"day": "Saturday", "opens": "08:00", "closes": "18:00"}],"hours_per_week_total": 73.5,"open_weekends": true,"is_open_now": true,"website_alive": true,"website_domain": "tartinebakery.com","website_tech_stack": ["Shopify", "Klaviyo", "Google Analytics", "Apple Pay"],"emails_from_website": ["info@tartinebakery.com", "hello@tartinebakery.com"],"phones_from_website": ["(415) 487-2600"],"social_profiles": {"instagram": "https://www.instagram.com/tartinebakery","facebook": "https://www.facebook.com/tartine.bakery","twitter": "https://twitter.com/tartinebakery"},"seo_title": "Tartine Bakery | Artisan Bread & Pastries","seo_meta_description": "Award-winning bakery in San Francisco's Mission District…","seo_h1_count": 1,"mobile_friendly": true,"seo_hygiene_score": 90,"menu_url": "https://tartinebakery.com/menu","has_outdoor_seating": true,"accepts_credit_cards": true,"wifi_available": true,"good_for_kids": true,"offers_delivery": true,"earliest_wayback_snapshot": "2010-03-14","business_listing_age_years": 16.2,"customer_segment": "mid-range","quality_tier": "great","popularity_score": 84,"online_presence_score": 90,"chain_likelihood_score": 0,"service_offerings_count": 8,"leadScore": 78,"leadTier": "scorching","leadScoreReasons": ["website live","4 tech detected","emails recovered","3 social profiles","high popularity","strong SEO hygiene","great quality"],"bestContact": {"channel": "email","value": "info@tartinebakery.com","label": "mailto:info@tartinebakery.com"},"outreachPitch": "Saw Tartine Bakery on Yelp (4.2★, 9200 reviews). I help bakeries brands turn Yelp traffic into repeat orders with branded online ordering and SMS follow-ups — would a 10-min look at your funnel be useful?"}
💼 Use Cases
🥇 B2B Lead Generation (the headline use case)
The default output is CRM-ready — drop the CSV directly into HubSpot / Pipedrive / Salesforce / Apollo:
- Filter by
leadTier = "scorching"for the warmest prospects - Filter by
website_tech_stack contains "Shopify"to find your match-fit - Filter by
chain_likelihood_score < 50to focus on independents - Use
bestContactfor outreach orchestration - Use
outreachPitchas the first cold-email/cold-DM template - Use
phoneE164+phoneTelfor click-to-call dialers
🥈 Niche Directory & Aggregator Building
- "Best date-night restaurants" → filter
private_dining = true+serves_alcohol = true+priceRange = "$$$" - "Family-friendly cafés" →
good_for_kids+wifi_available+outdoor_seating - "24-hour spots" →
has_24h_day = true
🥉 Local SEO / Tech Adoption Research
- Track what % of restaurants in a market use modern reservation systems
- Identify SMBs without HSTS / mobile-friendly sites for upsell
- Map
customer_segmentdistribution by neighborhood
Investment & M&A Due Diligence
business_listing_age_yearsfor legitimacy verificationquality_tierconsistency over time- POS adoption signals (Toast, Square, OpenTable, Stripe)
CRM Enrichment Pipeline
- Batch-enrich a list of Yelp URLs and get phones in E.164 format, validated emails, and 7-platform social profiles in a single CSV ready for upload.
💰 Pricing
| Volume | Cost |
|---|---|
| 1 business | $0.003 |
| 100 businesses | $0.30 |
| 1,000 businesses | $3.00 |
| 10,000 businesses | $30.00 |
Pay only for what you extract. No subscriptions, no hidden fees.
⚡ Speed & Reliability
- 15–25 seconds per business (parallel HTTP, no rendering)
- 2 businesses in parallel by default (Yelp-friendly, configurable up to 5)
- No proxies needed — Thunderbit handles Yelp scraping for us
- Single website fetch powers all 8 enrichment layers (no extra cost vs simpler scrapers)
- Graceful degradation — if Wayback is slow or a website is down, other layers still return data
📊 Aggregate Summary (Bulk Runs)
When you analyze multiple businesses in one run, a SUMMARY record is written to the run's key-value store (free — doesn't add to your dataset bill):
from apify_client import ApifyClientclient = ApifyClient("YOUR_TOKEN")run = client.actor("apivault_labs/yelp-business-scraper").call({"businessUrls": [...]})summary = client.key_value_store(run["defaultKeyValueStoreId"]).get_record("SUMMARY")["value"]print(summary["avg_lead_score"]) # 64.2print(summary["with_emails_pct"]) # 47.5print(summary["top_tech_detected"]) # [{"name": "Shopify", "count": 12}, ...]print(summary["chains_detected"]) # ["Starbucks", "McDonald's", ...]
❓ FAQ
Q: Do I need any API keys? A: No. Just an Apify account ($5 free credit gets you ~1,500 businesses).
Q: How fresh is the data? A: 100% real-time. No caching. Each call hits Yelp's live page via Thunderbit.
Q: Why is popularity_score not just rating?
A: A 5★ business with 3 reviews isn't actually popular. We combine rating with log-scaled review count so 4.5★ × 1000 reviews ≈ 85, while 5.0★ × 5 reviews ≈ 25.
Q: How accurate is chain_likelihood_score?
A: It's a heuristic combining brand-name matching and review patterns. Scores 50+ almost always indicate chains. Under 25 = independent business. Use excludeChains: true to filter automatically.
Q: Can it find emails on Cloudflare-protected sites?
A: Yes. We decode data-cfemail XOR-obfuscated email spans — that recovers ~20-30% of emails on CF-protected WordPress / Wix sites.
Q: Will the outreach pitch sound generic? A: It's tailored to the Yelp category and uses the actual business name + rating + review count. Treat it as a strong first draft — most users tweak 1-2 sentences before sending.
Q: Can I get the data as CSV instead of JSON?
A: Yes — set exportFormat: "csv". You get a flat 30-column CSV with one row per business, ready to import into Sheets / HubSpot / Pipedrive.
🔗 Related Actors
- Yelp Reviews Scraper — full reviews with text and reviewer info
- Local Lead Finder Pro — find businesses by keyword + city, 30+ enriched fields
- Trustpilot Reviews Scraper — review intelligence for any brand
- Domain Intelligence Scraper — WHOIS, DNS, SSL for any domain
📞 Support
Open an issue on the actor's Apify page, or reach out via Apify messaging.