| name | apify-booking-host-leads |
| description | Find and enrich B2B leads from Booking.com - hotels, apartments, and vacation rentals - and pull each host's or property manager's real contact details (email, phone, company name, registration number). Use when the user says things like "get emails from Booking.com", "Booking.com lead generation", "find tour operator / property manager / host contacts", "scrape accommodation owner emails", or "build a list of Booking hosts". The host's email is usually already inside the Booking scraper's traderInfo field (EU/AU trader-transparency disclosure) - this skill leads with that and uses a Google Maps email scraper only as a fallback, instead of relying on Google Maps first (which mostly returns the wrong business). |
| author | Daniela Ryplová |
| author_url | https://github.com/danielarypl |
| metadata | {"keywords":"booking, booking.com, lead-generation, leads, email-finder, hosts, property-managers, tour-operators, hospitality, traderinfo, contact-enrichment, b2b"} |
Booking.com host & operator lead finder
Turn a Booking.com destination search into a clean table of accommodation hosts / property managers with their real contact details.
The key insight
When you scrape Booking.com, the host's contact email is sometimes already in the data under traderInfo (a trader-transparency disclosure). But this is region-dependent: strong in the EU (Zurich apartments: 80%) and Australia (Melbourne apartments: 82% in a 50-property test), and increasingly present in Asia (Beijing apartments: 65% as of June 2026, typically a QQ, 163, or Gmail address plus a Chinese company name). It is historically sparser in the US and UK. A naive chained Google Maps email scraper found emails for only ~10% and often matched the wrong business.
So use a waterfall: try the cheapest source first, fall through to more expensive ones only for leads still missing a contact. Never start with a Google Maps email extractor.
| Tier | Source | Gets | Fires when |
|---|
| 1 | Booking traderInfo | email, phone, company | always (free, already scraped) |
| 2 | Google Maps Email Extractor (by name) | email, phone, socials, website | lead still has no email |
| 3 | Google Search (by name) | a candidate website | lead still has no website |
| 4 | Website contact scraper (on the website) | email / phone / socials | lead has a website but still no email |
Prerequisites
- Apify account (sign up)
- Authentication via one of:
Workflow
- Collect inputs. Ask the user for: destination (city/area), property type (Apartments / Guest houses / Holiday homes / Villas surface the most independent operators;
none = all), max properties, and output format (CSV / JSON / Google Sheet).
- Tier 1 - Scrape Booking.com. Run
voyager/booking-scraper. Build a lead row per property from traderInfo and hostInfo (see Mapping below). Mark rows where traderInfo.email is present as contactSource: booking-trader.
- Tier 2 - Google Maps (only rows still missing an email). Run
lukaskrivka/google-maps-with-contact-details with searchStringsArray = ["<name>, <destination>", ...]. Fill email/phone/socials and capture any website it returns. Mark filled rows google-maps.
- Tier 3 - Google Search (only rows still missing a website). Run
apify/google-search-scraper with one query per lead ("<name> <city> official website"). Take the first non-OTA/non-social organicResults[].url as the candidate website.
- Tier 4 - scrape the website (only rows with a website but no email). Default:
vdrmota/contact-info-scraper (deterministic, ~14s/site). Optional: apify/ai-web-scraper with a prompt for email/phone/contact-form URL - but in live testing it was slow and failed on multiple sites, so prefer the contact scraper. Mark filled rows website-contact (or website-ai). Cap the count to control cost.
- Deliver. Output one row per property. Report total rows, % with an email, and the
contactSource breakdown. Rows still empty keep BookingURL (contact via Booking messaging).
Mapping (Booking item → lead row)
| Output column | Source field |
|---|
name, type, address, city, country, rating, ratingLabel, stars, reviews, BookingURL | top-level Booking fields (address.full, address.city, address.country, rating, ratingLabel, reviews, url) |
email, phone | traderInfo.email / traderInfo.phone → fallback Google Maps emails[0] / phones[0] |
companyName, registrationNumber, traderAddress | traderInfo.companyName / .registrationNumber / .address |
hostName, managedProperties | hostInfo.name / hostInfo.managedProperties (operator-size signal) |
website, socials | Google Maps fallback only; drop OTA domains (booking.com, agoda, expedia, etc.) |
contactSource | booking-trader | google-maps | none |
Put email and phone immediately after address in the output.
Always return BookingURL (link to the property), rating, ratingLabel (e.g. "Superb", "Exceptional"), and reviews (review count) for every lead. These give each row its own quality signal, so leads can be ranked and prioritized without re-opening Booking.
Actor routing
| Waterfall tier | Actor ID | Maintainer | Best for |
|---|
| 1 - Booking + trader contacts | voyager/booking-scraper | community | Primary. traderInfo holds host email/phone/company |
| 2 - email/social/website by name | lukaskrivka/google-maps-with-contact-details | community | Emails Booking doesn't disclose; also returns a website |
| 3 - discover a website | apify/google-search-scraper | apify | Finding the host's official site when Maps has none |
| 4 - extract from the website (default) | vdrmota/contact-info-scraper | community | Deterministic email/phone/social extraction; fast and reliable |
| 4 - extract from the website (alt) | apify/ai-web-scraper | apify | LLM extraction via prompt; flexible but slow/unreliable in testing |
Prefer apify-maintained Actors where available.
Calling Actors — Apify CLI
Three flags on every call (--json, --user-agent, 2>/dev/null):
# 1. Scrape Booking.com
apify actors call "voyager/booking-scraper" \
-i '{"search":"Melbourne","maxItems":50,"propertyType":"Apartments","currency":"USD","language":"en-us","sortBy":"distance_from_search","rooms":1,"adults":2}' \
--json \
--user-agent apify-awesome-skills/apify-booking-host-leads \
2>/dev/null
# Tier 2 - enrich names that have no traderInfo email
apify actors call "lukaskrivka/google-maps-with-contact-details" \
-i '{"searchStringsArray":["<name>, Melbourne"],"locationQuery":"Melbourne","maxCrawledPlacesPerSearch":1,"language":"en"}' \
--json \
--user-agent apify-awesome-skills/apify-booking-host-leads \
2>/dev/null
# Tier 3 - discover a website for leads that still have none
apify actors call "apify/google-search-scraper" \
-i '{"queries":"<name> Melbourne official website","maxPagesPerQuery":1,"resultsPerPage":5,"countryCode":"us","languageCode":"en"}' \
--json \
--user-agent apify-awesome-skills/apify-booking-host-leads \
2>/dev/null
# Tier 4 - AI-extract a contact email / form URL from the website
# (confirm the prompt/instructions field name against the Actor's input schema)
apify actors call "apify/ai-web-scraper" \
-i '{"startUrls":[{"url":"<website>"}],"prompt":"Extract the contact email, phone, and contact-form URL. Return JSON keys: email, phone, contactFormUrl."}' \
--json \
--user-agent apify-awesome-skills/apify-booking-host-leads \
2>/dev/null
# Inspect input schema / fetch results
apify actors info "voyager/booking-scraper" --input --json \
--user-agent apify-awesome-skills/apify-booking-host-leads 2>/dev/null
apify datasets get-items DATASET_ID --format json \
--user-agent apify-awesome-skills/apify-booking-host-leads 2>/dev/null
The Apify MCP server (https://mcp.apify.com) and any MCP client (e.g. mcpc) are equivalent alternatives.
Troubleshooting
- No emails returned → you are probably reading Google Maps output instead of
traderInfo. Re-check the Booking item's traderInfo field first.
- Emails for the wrong business → that is the Google Maps fallback matching a generic place. Trust
contactSource: booking-trader rows; treat google-maps rows as lower confidence.
- Many
contactSource: none rows → those hosts disclosed no trader info and have no Google Business match. Use the BookingURL to contact via Booking, or accept the blank.
- Run cost climbs → skip the Google Maps fallback entirely;
traderInfo alone covers ~80%.
- See references/gotchas.md for cost notes.
