Poshmark Email Scraper

Poshmark Email Scraper - public reseller and boutique emails from Poshmark

The Poshmark Email Scraper collects publicly indexed contact emails from Poshmark pages using Google search, filtered by keyword, location and email domain.

It is built for people who work with resale and secondhand-fashion creators: brand partnerships, consignment sourcing and creator marketing.

Set expectations before your first run. Poshmark indexes individual listings much more than closets, so most rows carry an email from a listing without a seller handle.

That means the Poshmark Email Scraper reliably fills the email column, but often leaves username as null and profileUrl empty.

The listing url and the description snippet are still there, so you can usually identify the closet manually when it matters.

What the Poshmark Email Scraper actually does

The Poshmark Email Scraper never logs into Poshmark, never uses a Poshmark API and never opens the Poshmark website.

It builds Google queries with the site: operator against poshmark.com and poshmark.ca, then reads the public search results.

There is no browser, no JavaScript rendering, no authentication and no cookies anywhere in the pipeline. Every address it returns was already visible in Google's public index.

Why use the Poshmark Email Scraper for resale and creator outreach

Poshmark is one of the largest resale communities in North America, and its most active sellers behave like creators. They run boutiques, promote drops on social platforms and publish a business email so brands can reach them.

That makes a Poshmark reseller contact list useful for very specific work. Brand partnership teams recruit resellers as affiliates; consignment businesses source inventory; wholesale suppliers look for boutiques that resell in volume.

The default keywords, reseller and boutique, are chosen for exactly that audience. The default queryModifiers push further in the same direction with stockist, wholesale and contact us.

Because the Poshmark Email Scraper searches both poshmark.com and poshmark.ca, it covers the US and Canadian sides of the community in one run.

Features of the Poshmark Email Scraper

Feature	What it means in practice
Two Poshmark domains	Queries are scoped to poshmark.com and poshmark.ca
Query expansion	Base, quoted and intitle: variants, plus one query per modifier
Resale-tuned modifiers	Defaults are email, contact us, wholesale, customer service and stockist
Domain filtering	Only emails on the domains you list are kept
Global deduplication	Each email address appears once across every query and page
Obfuscated email recovery	Handles name [at] domain [dot] com, name (at) domain, name @ domain.com and the full-width ＠
Junk filtering	Rejects placeholders such as email@, yourname@, test@, xxx@ and single-character locals
Boundary-correct matching	@gmail.com will not match inside @gmail.company or @gmail.com.br
Soft-wrap repair	Drops a hit that is only the tail of another email in the same block
Async concurrency	An asyncio worker pool with a shared stop signal on maxEmails
Retries with backoff	Up to three attempts per page, each with a fresh proxy session
Block detection	CAPTCHA, "unusual traffic" and consent pages are retried rather than counted as empty
Failed-query requeue	Blocked or failed queries are retried once at the end of the run
Resumable state	Progress is kept in the key-value store and saved on PERSIST_STATE, MIGRATING and ABORTING
Structural parsing	Result blocks are found via <h3> and the smallest surrounding block, not Google CSS class names
Whole-page fallback	A Google layout change degrades to emails without account details rather than to zero results
Truncation flag	possiblyTruncated marks emails the snippet ellipsis may have clipped
Run summary	Logs pages fetched, blocked pages, retries and emails per page

Every behaviour above is enabled by default, so the Poshmark Email Scraper needs no tuning to produce a clean, deduplicated list on the first run.

How the Poshmark Email Scraper works

It reads your keywords, location, email domains and limits. Then it builds Google queries such as site:poshmark.com boutique "@gmail.com" "Los Angeles".

It fetches result pages through the Apify GOOGLE_SERP proxy using aiohttp. Each result block is parsed structurally by locating the <h3> title and then the smallest surrounding block.

A domain-filtered regex pulls emails out of the block text. The Poshmark Email Scraper deduplicates globally and pushes each lead to the dataset immediately, so the list is usable while the run is still going.

Base queries run before expanded ones, so the strongest matches land first. That matters here, because Poshmark yields fewer complete identities than profile-heavy marketplaces.

Poshmark Email Scraper input fields

Field	Type	Default	Meaning
keywords	array (required)	["reseller", "boutique"]	Search terms describing the Poshmark accounts you want
location	string	""	Optional location phrase added to every query
customDomains	array	["@gmail.com","@yahoo.com"]	Only emails on these domains are kept; the @ is optional
maxEmails	integer 1-10000	20	Stop after this many unique emails
countryCode	string	""	Two-letter country for the search proxy (US, CA...)
expandQueries	boolean	true	Search each keyword x domain pair in several phrasings
queryModifiers	array	["email","contact us","wholesale","customer service","stockist"]	Extra words combined with each keyword when expansion is on
maxPagesPerQuery	integer 1-50	30	Page cap per query
maxConcurrency	integer 1-20	5	Parallel queries

Example Poshmark Email Scraper input

{
  "keywords": ["reseller", "boutique", "vintage seller", "consignment"],
  "location": "Los Angeles",
  "customDomains": ["@gmail.com", "@yahoo.com", "@outlook.com"],
  "maxEmails": 200,
  "countryCode": "US",
  "expandQueries": true,
  "queryModifiers": ["email", "contact us", "wholesale", "customer service", "stockist"],
  "maxPagesPerQuery": 30,
  "maxConcurrency": 5
}

Adding @outlook.com widens the net noticeably on a platform where volume is the constraint. Swapping countryCode to CA gives the Poshmark Email Scraper a second run aimed at the Canadian domain.

Poshmark Email Scraper output fields

Every dataset item the Poshmark Email Scraper writes contains all fourteen fields below.

Field	Meaning
network	Platform name
keyword	The keyword that produced the lead
query	The exact Google query used
title	Raw result title
accountName	Account label Google prints
fullName	Display name parsed from a profile-style title; empty for listing captions
username	URL-safe handle when Poshmark exposes one; otherwise null
profileUrl	Canonical closet URL when a handle is known; otherwise empty
url	Direct Poshmark link when exposed, else the closet URL
description	Bio or listing snippet, cleaned of labels and counters
email	Lower-cased email address
emailDomain	The matched domain
possiblyTruncated	true when Google's snippet ellipsis touched the email
foundAt	ISO 8601 UTC timestamp

Example Poshmark Email Scraper output

The second row is the more typical shape, because Poshmark indexes individual listings much more than closets.

[
  {
    "network": "Poshmark",
    "keyword": "boutique",
    "query": "site:poshmark.com boutique \"@gmail.com\" \"Los Angeles\"",
    "title": "@lunaresaleco - Luna Resale Co | Poshmark Closet",
    "accountName": "lunaresaleco",
    "fullName": "Luna Resale Co",
    "username": "lunaresaleco",
    "profileUrl": "https://poshmark.com/closet/lunaresaleco",
    "url": "https://poshmark.com/closet/lunaresaleco",
    "description": "Curated vintage and designer resale. Collabs and stockist requests: lunaresale.co@gmail.com",
    "email": "lunaresale.co@gmail.com",
    "emailDomain": "@gmail.com",
    "possiblyTruncated": false,
    "foundAt": "2026-08-31T11:21:07.338Z"
  },
  {
    "network": "Poshmark",
    "keyword": "reseller",
    "query": "site:poshmark.com reseller \"contact us\" \"@yahoo.com\"",
    "title": "Vintage Levi's 501 High Waist Jeans Size 27 | Poshmark",
    "accountName": "Poshmark",
    "fullName": "",
    "username": null,
    "profileUrl": "",
    "url": "https://poshmark.com/listing/Vintage-Levis-501-High-Waist-Jeans-64af12c9",
    "description": "Bundle discounts available. Wholesale and stockist enquiries: thriftedbyjules@yahoo.com",
    "email": "thriftedbyjules@yahoo.com",
    "emailDomain": "@yahoo.com",
    "possiblyTruncated": true,
    "foundAt": "2026-08-31T11:22:44.019Z"
  }
]

Use cases for the Poshmark Email Scraper

Resale and secondhand-fashion work is where the Poshmark Email Scraper earns its place, because those teams start from a style niche rather than a company name.

Use case	How the Poshmark Email Scraper helps
Brand partnerships	Find resale creators who publish a business email for collabs
Creator marketing	Build an outreach list of boutique owners with an audience
Consignment sourcing	Identify sellers with inventory you could take on consignment
Wholesale and stockist recruitment	Reach boutiques that resell at volume
Affiliate recruitment	Sign up resellers who already promote products off-platform
Reseller-tool sales	Prospect for listing, cross-posting and analytics software
Market research	Study how secondhand-fashion sellers position and price themselves
CRM enrichment	Export to CSV, JSON or Excel and import resale seller leads into your pipeline

Several of these workflows want a closet URL, and the Poshmark Email Scraper often cannot supply one. Budget time for manual matching from the listing url and description fields.

Tips to get more from the Poshmark Email Scraper

Use creator vocabulary, not marketplace vocabulary. collab, stockist, consignment, vintage seller and thrift shop fit how Poshmark sellers actually write about themselves.

Widen customDomains early. Because volume is the binding constraint here, @outlook.com, @hotmail.com and @icloud.com are worth adding before you touch anything else.

Run the Poshmark Email Scraper twice, once with countryCode: "US" and once with CA. The two domains surface different closets and different listings.

Keep expandQueries on. Google caps a single query at roughly 300 results, and expansion is the mechanism that works around it.

Raise maxEmails rather than maxConcurrency. The run stops at the email cap, so a higher cap buys more coverage than more parallelism does.

Limitations of the Poshmark Email Scraper

Poshmark indexes individual listings much more than closets, so most rows carry an email from a listing without a seller handle. This is the defining limitation of the Poshmark Email Scraper and the first thing to plan around.

The Poshmark Email Scraper only finds accounts whose email is publicly visible in Google's index. Poshmark discourages sharing contact details on-platform, so the addressable pool is genuinely small.

Google caps a single query at roughly 300 results, which is why query expansion exists. No run is exhaustive and no volume is guaranteed.

username and profileUrl are only populated when Google's result exposes a handle. On Poshmark that is a minority of rows, and it is a Google indexing limitation rather than a bug.

possiblyTruncated: true means Google's snippet ellipsis touched the email, so verify before sending. Treat those rows as candidates rather than confirmed addresses.

The Poshmark Email Scraper requires the Apify GOOGLE_SERP proxy and cannot run without Apify proxy credentials. Free Apify plans are capped at 100 emails per run; paid plans are uncapped.

Results vary with keywords, domains and location. Two runs on different days can legitimately return different Poshmark reseller contacts.

Responsible use, GDPR and marketplace terms for the Poshmark Email Scraper

Poshmark sellers are individuals far more often than registered companies, so treat this data carefully. Under GDPR, CCPA and similar regimes you need a lawful basis, honest identification of yourself and a working opt-out in every message.

Poshmark's terms of service restrict unsolicited commercial contact and off-platform solicitation. Respect them, keep suppression lists and never resell scraped personal data.

The Poshmark Email Scraper is not affiliated with, endorsed by or officially supported by Poshmark. It reads public Google results and nothing else.

Poshmark Email Scraper FAQ

Does the Poshmark Email Scraper log into Poshmark?

No. It never logs in, never uses a Poshmark API and never opens the Poshmark website. All data comes from publicly indexed Google search results.

Why are so many rows missing a username and closet URL?

Because Poshmark indexes individual listings much more than closets, so most rows carry an email from a listing without a seller handle. The email, snippet and listing link are still populated.

How many results should I expect from the Poshmark Email Scraper?

Fewer than from a profile-heavy marketplace. Poshmark sellers rarely publish contact details in indexable places, so treat the Poshmark Email Scraper as a source of a small, high-intent list rather than a bulk list. No volume is guaranteed.

Is the Poshmark Email Scraper affiliated with Poshmark?

No. It is an independent Actor reading public Google results, and it is not endorsed or officially supported by Poshmark.

Can I still identify the seller?

Often yes, manually. The listing url and description usually contain enough to find the closet, but the Poshmark Email Scraper will not do that step for you.

Which domains does the Poshmark Email Scraper search?

poshmark.com and poshmark.ca, covering the US and Canadian sides of the community.

What keywords work best?

Creator and resale vocabulary: boutique, reseller, consignment, vintage seller, stockist.

Can I schedule the Poshmark Email Scraper?

Yes. Apify schedules, webhooks and the API all work normally, so a reseller contact list can be refreshed without manual runs.

What does possiblyTruncated mean?

Google's snippet ellipsis may have clipped the address, so verify those emails before you send anything.

Do I need a proxy?

Yes. The Poshmark Email Scraper requires the Apify GOOGLE_SERP proxy and will not run without Apify proxy credentials.

Is there a free-plan cap?

Free Apify plans are capped at 100 emails per run. Paid plans are uncapped.

Can I resume an interrupted run?

Yes. State lives in the key-value store keyed by a hash of your input and is saved on PERSIST_STATE, MIGRATING and ABORTING.

How do I export the data?

The Apify dataset exports to CSV, JSON, Excel and more, and it is reachable over the API for direct CRM import.

Which sibling Actors pair well with the Poshmark Email Scraper?

Depop Email Scraper, Mercari Email Scraper and Vinted Email Scraper cover the rest of resale.

Etsy Email Scraper and Faire Email Scraper reach independent brands and wholesale suppliers instead.

Related Actors

Forty sibling Actors cover the rest of the E-commerce & Marketplaces category. They run the same engine as the Poshmark Email Scraper with a platform-specific configuration.

Actor	What it collects
Poshmark Email and Phone Number Scraper	Emails and phone numbers from Poshmark
Poshmark Phone Number Scraper	Public phone numbers from Poshmark
AliExpress Email Scraper	Public contact emails from AliExpress
Allegro Email Scraper	Public contact emails from Allegro
Amazon Email Scraper	Public contact emails from Amazon
Best Buy Seller Email Scraper	Public contact emails from Best Buy
BigCommerce Store Email Scraper	Public contact emails from BigCommerce Store
Cdiscount Email Scraper	Public contact emails from Cdiscount
Coupang Email Scraper	Public contact emails from Coupang
Depop Email Scraper	Public contact emails from Depop
DHgate Email Scraper	Public contact emails from DHgate
eBay Email Scraper	Public contact emails from eBay
Ecwid Store Email Scraper	Public contact emails from Ecwid Store
Etsy Email Scraper	Public contact emails from Etsy
Faire Email Scraper	Public contact emails from Faire
Flipkart Email Scraper	Public contact emails from Flipkart
Home Depot Seller Email Scraper	Public contact emails from Home Depot
JD.com Email Scraper	Public contact emails from JD.com
Lazada Email Scraper	Public contact emails from Lazada
Lowe's Seller Email Scraper	Public contact emails from Lowe's
MercadoLibre Email Scraper	Public contact emails from MercadoLibre
Mercari Email Scraper	Public contact emails from Mercari
Newegg Email Scraper	Public contact emails from Newegg
Otto Email Scraper	Public contact emails from Otto
Overstock Email Scraper	Public contact emails from Overstock
Rakuten Email Scraper	Public contact emails from Rakuten
Shopee Email Scraper	Public contact emails from Shopee
Shopify Store Email Scraper	Public contact emails from Shopify Store
Taobao Email Scraper	Public contact emails from Taobao
Target Seller Email Scraper	Public contact emails from Target
Temu Email Scraper	Public contact emails from Temu
Tmall Email Scraper	Public contact emails from Tmall
Vinted Email Scraper	Public contact emails from Vinted
Walmart Email Scraper	Public contact emails from Walmart
Wayfair Email Scraper	Public contact emails from Wayfair
Wish Email Scraper	Public contact emails from Wish
Wix Stores Email Scraper	Public contact emails from Wix Stores
WooCommerce Email Scraper	Public contact emails from WooCommerce
Zalando Email Scraper	Public contact emails from Zalando
AliExpress Email and Phone Number Scraper	Emails and phone numbers from AliExpress
Allegro Email and Phone Number Scraper	Emails and phone numbers from Allegro
Amazon Email and Phone Number Scraper	Emails and phone numbers from Amazon

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Support

Questions, bug reports or a custom build of the Poshmark Email Scraper: neurodata.apify@gmail.com.