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Snow Leo Jobs & Hiring

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View RepositoryVisit Website

Live job listings from 20 ATS platforms plus SEEK, JobStreet, JobsDB, jobs.ch and The Muse

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet β€” we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself β€” its README, its docs, or a verified owner. We haven’t found those for Snow Leo Jobs & Hiring, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

Snow Leo Data β€” MCP servers

Five remote MCP servers that give an AI agent 21 web-data tools: local business leads, job listings, marketplace catalogues, compliance records and public media feeds. Every tool is a published Apify Actor, exposed over the Model Context Protocol by Apify's own hosted gateway at mcp.apify.com.

  • Transport: Streamable HTTP. No install, no npm package, no local process.
  • Auth: OAuth with your own Apify account (or a Bearer token).
  • Billing: you pay Apify directly, per result. Prices are listed below.

The servers are split by subject on purpose. An agent handed twenty-one tools at once picks badly; an agent handed four tools that all answer one kind of question picks well. Connect only the server you need.


The five servers

ServerToolsWhat it answersURL
Leads & Contacts5"Who are the businesses here, and how do I reach them?"leads/server.json
Jobs & Hiring4"What roles are open right now, and where?"jobs/server.json
Marketplaces & Prices6"What is listed, and what does it cost today?"marketplaces/server.json
Risk & Compliance4"Is this name, domain, product or contract a problem?"risk/server.json
News & Social2"What is being said publicly, and when was it said?"media/server.json

1. Leads & Contacts

Code
https://mcp.apify.com/?actors=snow_leo_data/google-maps-scraper,snow_leo_data/yellow-pages-scraper,snow_leo_data/duckduckgo-scraper,snow_leo_data/openstreetmap-business-scraper,snow_leo_data/website-contact-scraper

Five different indexes of the same world β€” Google's, Yelp/Apple's, the printed directories, the open map, and the company's own website β€” so an agent that comes up short in one can try another.

ActorWhat it returnsMeasured
snow_leo_data/google-maps-scraperPlaces from Google Maps, 56 columns, emails read from the business websiteGoogle Maps stops near 150 places per search view; adaptive grid returned 766 places against 160 for coffee in Austin, 4.79x, in 42 s / 168 requests (12 Sep 2026)
snow_leo_data/yellow-pages-scraperSeven directories β€” Yellow Pages US/CA, BBB, Gelbe Seiten, PagineGialle, Europages, Hotfrog β€” in 38 shared columnsEvery page a human can click on BBB gives 175 unique businesses; bucketed queries returned 524 (runs kt2dccRUXf2Itm2BL = 175, rKU71p8Dxq62dCgQ0 = 524)
snow_leo_data/duckduckgo-scraperLocal businesses from DuckDuckGo's index (Yelp + Apple Maps data), 44 fields, up to 5 review excerpts with textMeasured 16 Sep 2026 on 10 category+city pairs, with Google Maps swept to its own ceiling on each: of 164 businesses returned, 82 (50%) were not in Google Maps at all. The website field was filled for 97.9% of rows here against 79.7% in a Google Maps sample of 300 taken the same day
snow_leo_data/openstreetmap-business-scraperBusinesses that have no website, from OpenStreetMap, 59 fieldsAustin: 7,673 named businesses, 3,932 with no website at all, one Overpass query, 80.5 s. Manchester UK: 5,905 / 4,261 in 13.4 s
snow_leo_data/website-contact-scraperOne row per website: emails, phones in E.164, socials across 31 platforms, address, hoursOn 135 live business sites, home page only found an email on 31 sites; home page plus contact pages found one on 57

2. Jobs & Hiring

Code
https://mcp.apify.com/?actors=snow_leo_data/ats-jobs-scraper,snow_leo_data/seek-scraper,snow_leo_data/jobs-ch-scraper,snow_leo_data/the-muse-jobs-scraper

One tool for jobs straight from the employer's own ATS, and three for the job boards that dominate a region. All four return the same kind of row, so an agent can compare a Swiss board against a US careers page without reshaping anything.

ActorWhat it returnsMeasured
snow_leo_data/ats-jobs-scraperJobs read live from 20 applicant tracking systems β€” Greenhouse, Workday, Lever, Ashby, SmartRecruiters, Oracle Cloud, BrassRing, UKG and twelve more59,185 jobs in one run; 1,045 company boards built in, so an empty input still works. $0.99 per 1,000 where others in the niche charge $1.30, $2.50 and $4.00
snow_leo_data/seek-scraperSEEK AU/NZ, JobStreet MY/SG/PH/ID, JobsDB HK/TH β€” 8 markets, 41 fieldsThe public API stops at 500 jobs per query (page 6 at 100 rows returns an empty list); this Actor returned 1,500 unique jobs in 120 s, zero duplicates
snow_leo_data/jobs-ch-scraperjobs.ch, 38 fields, full advert text, direct apply URL, Swiss workload percentage, coordinates46,121 jobs live on jobs.ch; page 101 returns HTTP 422, so one query caps at 2,000. Measured 2,400 unique jobs in 64 s, zero duplicates
snow_leo_data/the-muse-jobs-scraperThe Muse, 27 fields, the entire advert body inline411,813 jobs on the source; page 100 returns HTTP 400 so one query caps at 1,980. Measured 2,060 unique jobs in 176 s, zero duplicates

3. Marketplaces & Prices

Code
https://mcp.apify.com/?actors=snow_leo_data/amazon-product-scraper,snow_leo_data/shopify-inventory-scraper,snow_leo_data/app-store-scraper,snow_leo_data/google-play-scraper,snow_leo_data/airbnb-scraper,snow_leo_data/redfin-scraper

Every tool here returns a priced listing out of somebody's catalogue β€” products, apps, stays, homes β€” and every one of them is built around getting past that catalogue's own result ceiling.

ActorWhat it returnsMeasured
snow_leo_data/amazon-product-scraperamazon.com search, product pages and Best Sellers: prices, list price, discount, rating, stock, seller, specs, BSR, ASINOne Amazon search stops at 306 products for wireless earbuds while Amazon's own header claimed over 20,000. Six price bands returned 96 products, 96 unique, zero overlap
snow_leo_data/shopify-inventory-scraperAny Shopify storefront: 42 fields per product, every variant, price, compare-at, SKU, barcode, stock, collectionOn 47 live storefronts, 14 refuse /products.json on their own domain; reading the shop's Shopify origin recovered 10 of those 14 β€” 43 stores readable instead of 33
snow_leo_data/app-store-scraperApp Store reviews and the full store card, per storefront, across 59 Apple storefrontsApple caps at 500 reviews per storefront per sort order (page 11 returns HTTP 400). Opening both sort windows gave 937 unique reviews on one app, only 63 shared. Notion on 12 Sep 2026: 90,067 ratings in USD in the US storefront, 50,062 in JPY in the Japanese one
snow_leo_data/google-play-scraperGoogle Play reviews, app details, keyword search, top charts, developer listings, similar apps β€” 6 modesPlay keeps reviews per language, and the piles do not overlap. com.spotify.music, 13 Sep 2026: 18 languages x 600 = 10,800 distinct review IDs, 0 duplicates between languages
snow_leo_data/airbnb-scraperAirbnb listings, details, the day-by-day availability calendar with occupancy rates, and reviewsAirbnb search hands out at most 270 rows per query which contain 227 distinct listings. Paris, 13 Sep 2026: flat pagination 257 listings from 7 queries; adaptive map grid 1,916 from 63 queries β€” 7.46x, in 117 s
snow_leo_data/redfin-scraperRedfin by city, county, neighborhood or ZIP: price, beds, baths, area, year, DOM, MLS number and description, agent, coordinates; property card adds parcel, tax rate, schools, climate risk, permits, zoningRedfin's search endpoint has no pagination β€” page_number=2 returns page 1 byte for byte. Redfin's own "Download All" CSV export stops at 350 listings

4. Risk & Compliance

Code
https://mcp.apify.com/?actors=snow_leo_data/sanctions-screening-api,snow_leo_data/cve-scraper,snow_leo_data/whois-dns-lookup,snow_leo_data/government-tenders-scraper

Four checks an agent runs before it recommends doing business with someone: is the name sanctioned, is the software exploitable, is the domain real and able to receive mail, and is there a public contract behind it.

ActorWhat it returnsMeasured
snow_leo_data/sanctions-screening-apiUS Treasury OFAC SDN, the EU consolidated list and the UN Security Council consolidated list, joined, with which authorities list each name26,633 records against the 19,388 in OFAC alone β€” 37% more. OFAC 19,388, EU 6,234, UN 1,011. 4,370 listed by two or more authorities, 1,693 by all three. No API key, no registration, no proxy
snow_leo_data/cve-scraperEvery CVE from the NIST National Vulnerability Database, joined with CISA KEV and EPSS389,995 CVEs β€” the whole NVD catalogue, read live
snow_leo_data/whois-dns-lookupOne row per domain with 80 fields: A, AAAA, MX, NS, TXT, SOA, CAA, CNAME chain, DNSSEC, SPF/DKIM/DMARC posture checked against the standards, registration record, TLS certificate. Monitor mode returns only domains whose records moved, with what changedPublic sources over HTTPS, DNS-over-HTTPS and WHOIS on port 43. No API key, no proxy, no browser, no paid feed
snow_leo_data/government-tenders-scraperFour official procurement feeds in one row shape: EU TED, UK Find a Tender, UK Contracts Finder, US SAM.gov48 buyer countries in a single measured window β€” 47 in one 7-day slice of TED (4–11 Sep 2026, 19,795 notices) plus the United States from SAM.gov

5. News & Social

Code
https://mcp.apify.com/?actors=snow_leo_data/google-news-scraper,snow_leo_data/telegram-channel-scraper

Two public feeds an agent can read without an account, a bot token or an API key.

Read the full README β†’View source on GitHub β†’

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Frequently Asked Questions about Snow Leo Jobs & Hiring

We don't have a confirmed install command for Snow Leo Jobs & Hiring yet, so we don't publish a generated one β€” a guessed package name would point at the wrong package or none at all. Follow the project's own README or setup instructions (https://github.com/MagzhanSan/mcp-servers-snowleo) for the current steps.

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Technical Specs & Signals

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Last updatedSep 28, 2026
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27Quality signal: Emerging Β· 27/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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