# Newegg Email Scraper (`leads-scraper/newegg-email-scraper`) Actor

Newegg Email Scraper SD - Newegg Email Scraper is a lead generation tool that extracts leads with public contact emails, account names and profile URLs from Newegg results by keyword, location and email domain - Newegg email extractor.

- **URL**: https://apify.com/leads-scraper/newegg-email-scraper.md
- **Developed by:** [Leads Scraper](https://apify.com/leads-scraper) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.49 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

### Newegg Email Scraper — seller and brand contacts from the Newegg electronics marketplace

The **Newegg Email Scraper** builds a dataset of publicly indexed contact emails tied to sellers and brands on `newegg.com`.
You give it keywords and email domains; it returns emails, account names, handles, Newegg URLs and the snippet each address came from.

One thing to know before you run it: Newegg mixes first-party and marketplace listings, so some rows carry a brand contact rather than a marketplace-seller handle.
That is not a defect, and for most sourcing work it is useful — but it means a Newegg seller contact list from this Actor is really a seller-and-vendor list.

There is no export button on Newegg and no public directory of marketplace seller contacts.
The Newegg Email Scraper closes that gap using nothing but publicly indexed Google results.

#### What the Newegg Email Scraper does and does not do

The Newegg Email Scraper composes Google queries with the `site:newegg.com` operator, fetches the result pages, and extracts emails from the titles and snippets.
Each unique address is deduplicated and pushed into an Apify dataset the moment it is found.

The Newegg Email Scraper does **not** log into Newegg, use the Newegg Marketplace or Seller Portal API, or open the site in a browser.
No JavaScript rendering, no authentication, no cookies — only what Google has already indexed publicly.

It is an independent tool, not affiliated with, supported by or endorsed by Newegg.

#### Who uses this Newegg seller contact tool

Wholesale buyers and distributors run the Newegg Email Scraper to find hardware vendors already selling into the US electronics channel.
Dropshippers use it to reach the sellers behind SKUs they want to list elsewhere.

Brand-protection teams collect Newegg seller emails before an authorisation check, MAP enforcement or a grey-market enquiry — a job made easier by the fact that brand contacts and marketplace-seller contacts both surface here.
Marketplace agencies build prospect lists of Newegg sellers who may need advertising, listing or fulfilment help.

Teams covering the whole US channel usually run more than one: the [Best Buy Seller Email Scraper](https://apify.com/leads-scraper/best-buy-seller-email-scraper) reaches an overlapping consumer-electronics vendor base from a different retailer.

### Key features of the Newegg Email Scraper

Everything in this table is behaviour the Newegg Email Scraper genuinely implements.

| Feature | What it means in practice |
|---|---|
| `site:` scoping | Every query is locked to `newegg.com`, so results stay inside the Newegg catalogue |
| Query expansion | Each keyword × domain pair runs as a base query, a quoted query, an `intitle:` query, plus one variant per query modifier |
| Domain-filtered extraction | Only emails on the domains you list are kept, so you control the shape of the output |
| Global deduplication | An address appears once per run no matter how many queries or pages surfaced it |
| Obfuscation handling | Reads `name [at] domain [dot] com`, `name (at) domain`, `name @ domain.com`, `domain .com`, zero-width characters and the full-width `＠` |
| Junk filter | Discards placeholders such as `email@`, `yourname@`, `test@`, `xxx@` and single-character locals |
| Boundary-correct matching | `@gmail.com` does 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 result block |
| Structural parsing | Locates the `<h3>` title and the smallest surrounding block instead of trusting Google's CSS class names |
| Whole-page fallback | A Google layout change degrades to "emails without account details", not "no emails" |
| Block detection | CAPTCHA, "unusual traffic" and consent pages are detected and retried rather than counted as empty |
| Retries with backoff | Up to 3 attempts per page, exponential backoff, a fresh proxy session per request |
| End-of-run requeue | Blocked or failed queries get one more pass before the run finishes |
| Resumable state | Progress lives in the key-value store keyed by an input hash, saved on `PERSIST_STATE`, `MIGRATING` and `ABORTING` |
| Async concurrency | An `asyncio` worker pool with a shared stop signal once `maxEmails` is reached |
| Run summary | Pages fetched, blocked pages, retries and emails per page are all logged |

### How the Newegg Email Scraper works

Six steps, start to finish.

1. The Newegg Email Scraper reads your input: keywords, location, email domains and limits.
2. It composes Google queries with the `site:` operator, for example `site:newegg.com seller wholesale "@gmail.com"`.
3. It fetches the result pages through the Apify **GOOGLE\_SERP** proxy using async `aiohttp`.
4. It parses each result block structurally, finding the `<h3>` title and the tightest block around it.
5. It extracts emails from that block text with a domain-filtered regex.
6. It deduplicates globally and pushes each lead into the dataset immediately.

#### Sellers, brands and how to steer between them

Newegg's index blends marketplace seller pages, first-party product pages and manufacturer-branded content.
The default `keywords` reflect that directly: `seller` and `brand` are both shipped as defaults for a reason.

If you want marketplace sellers specifically, lean on `seller`, `sold by`, `store` and `marketplace` as keywords.
If you want manufacturer and distributor contacts, lean on `brand`, `manufacturer`, `authorized dealer` and `RMA`.

Either way, read the `accountName`, `fullName` and `profileUrl` fields before you write to a row.
A row with an empty handle and a corporate-looking address is far more likely to be a brand contact than a marketplace-seller handle.

#### Beating Google's per-query ceiling

Google returns roughly 300 results for any single query, however many Newegg pages actually match.
The Newegg catalogue is far larger than that, so one query can never see all of it.

Query expansion is the answer.
The Newegg Email Scraper turns each keyword into several phrasings and pairs it with each modifier, so a swarm of narrow queries covers ground a single broad query cannot.

### Input settings for the Newegg Email Scraper

Nine fields drive the Newegg Email Scraper. Only `keywords` is required; every other field ships with a working default.

| Field | Type | Default | Meaning |
|---|---|---|---|
| `keywords` | array (required) | `["seller", "brand"]` | Search terms describing the Newegg accounts you want (niche, job title, industry) |
| `location` | string | `""` | Optional location phrase added to every query |
| `customDomains` | array | `["@gmail.com","@yahoo.com"]` | Only emails on these domains are collected; the leading `@` is optional |
| `maxEmails` | integer 1–10000 | `20` | Stop once this many unique emails have been collected |
| `countryCode` | string | `""` | Two-letter country code for the search proxy (US, GB, DE...) |
| `expandQueries` | boolean | `true` | Search each keyword × domain pair in several phrasings |
| `queryModifiers` | array | `["email","contact","wholesale","customer service","inquiries"]` | Extra words combined with each keyword when expansion is on |
| `maxPagesPerQuery` | integer 1–50 | `30` | Page cap per query |
| `maxConcurrency` | integer 1–20 | `5` | How many queries run in parallel |

#### Example input for a Newegg seller email run

```json
{
  "keywords": ["seller", "brand", "authorized dealer", "gaming peripherals"],
  "location": "",
  "customDomains": ["@gmail.com", "@outlook.com"],
  "maxEmails": 250,
  "countryCode": "US",
  "expandQueries": true,
  "queryModifiers": ["email", "contact", "wholesale", "customer service", "inquiries"],
  "maxPagesPerQuery": 30,
  "maxConcurrency": 5
}
```

Newegg is a US-centric property, so `countryCode: "US"` is the sensible default for a Newegg Email Scraper run.
It matters less than it does on multi-country marketplaces, but it keeps the index consistent between runs.

Start a new keyword set at `maxEmails` of 20–50.
A short Newegg Email Scraper probe tells you whether the category is well indexed before you spend compute on a long run.

### Output fields from the Newegg Email Scraper

Every dataset item the Newegg Email Scraper writes carries all fourteen fields. The keys are always present; some values are conditional.

| 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 (seller store name or brand name) |
| `fullName` | Display name parsed from a profile-style title; empty for listing-style results |
| `username` | URL-safe handle when the platform exposes one; otherwise `null` |
| `profileUrl` | Canonical store URL when a handle is known; otherwise empty |
| `url` | Direct platform link when exposed, else the profile URL |
| `description` | Bio or snippet text, cleaned of labels and engagement counters |
| `email` | Lower-cased email address |
| `emailDomain` | The matched domain (e.g. `@gmail.com`) |
| `possiblyTruncated` | `true` when Google's snippet ellipsis touched the email — verify before sending |
| `foundAt` | ISO 8601 UTC timestamp |

#### Example output rows

The first row is a marketplace seller with a handle. The second is a brand contact — the pattern the yield note warns about.

```json
[
  {
    "network": "Newegg",
    "keyword": "seller",
    "query": "site:newegg.com seller contact \"@gmail.com\"",
    "title": "PowerCore Components - Seller Store | Newegg.com",
    "accountName": "PowerCore Components",
    "fullName": "PowerCore Components",
    "username": "powercore-components",
    "profileUrl": "https://www.newegg.com/powercore-components",
    "url": "https://www.newegg.com/powercore-components",
    "description": "PC parts, PSUs and cooling. Order and wholesale enquiries: powercore.sales@gmail.com",
    "email": "powercore.sales@gmail.com",
    "emailDomain": "@gmail.com",
    "possiblyTruncated": false,
    "foundAt": "2025-06-18T14:07:44Z"
  },
  {
    "network": "Newegg",
    "keyword": "brand",
    "query": "site:newegg.com brand customer service \"@gmail.com\"",
    "title": "Vantek Mechanical Keyboards - Newegg.com",
    "accountName": "Vantek",
    "fullName": "Vantek",
    "username": null,
    "profileUrl": "",
    "url": "https://www.newegg.com/",
    "description": "Vantek mechanical keyboards and switches. Warranty and RMA support: vantek.support@gmail.com",
    "email": "vantek.support@gmail.com",
    "emailDomain": "@gmail.com",
    "possiblyTruncated": false,
    "foundAt": "2025-06-18T14:12:09Z"
  }
]
```

Export what the Newegg Email Scraper collects as CSV, JSON, Excel or XML, or read it through the Apify API straight into your CRM.

### Use cases for the Newegg Email Scraper

Newegg is a vendor and marketplace property, so these use cases sit in sourcing, channel and marketplace operations rather than consumer prospecting.

| Use case | How the Newegg Email Scraper helps |
|---|---|
| Hardware supplier sourcing | Find sellers and brands already trading in a component category |
| Dropshipping supplier outreach | Build a Newegg seller contact list for SKUs you plan to resell |
| Brand protection and MAP enforcement | Collect seller and brand emails before an authorisation or pricing enquiry |
| Distributor and channel prospecting | Reach manufacturers listing directly on Newegg |
| Marketplace agency prospecting | Prospect Newegg sellers who may need ads, listings or fulfilment support |
| Category and competitor research | Sample a Newegg category by keyword to see who is selling in it |
| RMA and after-sales mapping | Identify the support addresses brands publish alongside their listings |
| CRM enrichment | Match scraped Newegg vendor emails against accounts you already track |

#### Worked example: mapping PC component vendors

Set `keywords` to `["seller", "brand", "power supply", "cpu cooler"]` and leave `expandQueries` on.
Each keyword then also runs with `email`, `contact`, `wholesale`, `customer service` and `inquiries`.

Keep `customDomains` at the free-mail defaults if you want small sellers and owner-run stores.
Swap in a branded domain when you are after established manufacturers instead.

Probe at `maxEmails: 30`, sort the dataset by whether `profileUrl` is populated, and you have an immediate split between marketplace-seller rows and brand rows.
Then rerun the Newegg Email Scraper at your real target — the second run reuses the same expansion plan, so the probe costs little.

### Tips for getting more from the Newegg Email Scraper

Component keywords beat generic ones.
"nvme ssd" or "gpu waterblock" is worth far more to the Newegg Email Scraper than "seller".

Use the handle as a classifier.
Filter on a non-empty `profileUrl` when you specifically want marketplace-seller rows rather than brand contacts.

Treat `customDomains` as a segmentation lever.
Free-mail domains skew towards small sellers and resellers; branded domains skew towards manufacturers and distributors.

Do not raise `maxConcurrency` for its own sake.
More parallel queries will not make the Newegg Email Scraper find emails that are absent from the index — it only spends proxy budget faster.

Schedule the Newegg Email Scraper monthly on a stable input.
Listings get reindexed continuously, so repeat runs keep a Newegg seller email list current.

If your channel work spans several US retailers, run the [Walmart Email Scraper](https://apify.com/leads-scraper/walmart-email-scraper) and the [Target Seller Email Scraper](https://apify.com/neuro-scraper/target-seller-email-scraper) with equivalent keywords to widen the same vendor map.

#### Responsible use, GDPR and marketplace terms

The Newegg Email Scraper only collects addresses that are already public in Google's index, and most of them are business or customer-service mailboxes published for trade and support enquiries.
That does not make every use lawful by default.

GDPR, CAN-SPAM and equivalent local rules still govern how you store, contact and profile the people behind those addresses.
Newegg's own terms of service govern how you may interact with sellers and listings on the platform.

Keep outreach relevant and commercial, honour opt-outs immediately, and do not use marketplace contact data for consumer spam.
Compliance is your responsibility, not the Actor's.

### Limitations of the Newegg Email Scraper

Stated plainly, because they affect what you should expect.

- **First-party and marketplace listings are mixed.** Newegg blends both, so some rows carry a brand contact rather than a marketplace-seller handle. Check `profileUrl` and `accountName` before assuming a row is a third-party seller.
- **Publicly indexed emails only.** If an address is not in Google's index, the Newegg Email Scraper cannot find it. Contact forms, seller messaging and images are invisible to it.
- **Google's ~300-result cap.** A single query tops out at roughly 300 results, which is exactly why query expansion exists.
- **`possiblyTruncated`.** When Google's snippet ellipsis touched the email, this flag is `true` and the address may be incomplete. Verify before sending.
- **`username` and `profileUrl` are conditional.** They are only populated when Google's result exposes a usable handle. Some rows will carry `accountName` and `fullName` with an empty `username` and `profileUrl`. That is a Google limitation, not a bug.
- **Apify GOOGLE\_SERP proxy required.** The Newegg Email Scraper cannot run without Apify proxy credentials.
- **Free-plan cap.** Free Apify plans stop at 100 emails per run; paid plans are uncapped.
- **No guaranteed volume.** Results vary with keywords, domains, country and location, and no volume is guaranteed.

In our own measured testing, a Newegg Email Scraper run resolved 7 of 10 targeted results into rows with usable account identity.
That is a solid mid-range hit rate for this family, but it describes that test, not your keywords.

### Related Actors

The Newegg Email Scraper shares its engine with the rest of this E-commerce & Marketplaces family; only the platform configuration differs.

| Actor | What it collects |
|---|---|
| [Newegg Email and Phone Number Scraper](https://apify.com/neuro-scraper/newegg-email-and-phone-number-scraper) | Emails and phone numbers from Newegg |
| [Newegg Phone Number Scraper](https://apify.com/neuro-scraper/newegg-phone-number-scraper) | Public phone numbers from Newegg |
| [AliExpress Email Scraper](https://apify.com/neuro-scraper/aliexpress-email-scraper) | Public contact emails from AliExpress |
| [Allegro Email Scraper](https://apify.com/neuro-scraper/allegro-email-scraper) | Public contact emails from Allegro |
| [Amazon Email Scraper](https://apify.com/leads-scraper/amazon-email-scraper) | Public contact emails from Amazon |
| [Best Buy Seller Email Scraper](https://apify.com/leads-scraper/best-buy-seller-email-scraper) | Public contact emails from Best Buy |
| [BigCommerce Store Email Scraper](https://apify.com/neuro-scraper/bigcommerce-store-email-scraper) | Public contact emails from BigCommerce Store |
| [Cdiscount Email Scraper](https://apify.com/neuro-scraper/cdiscount-email-scraper) | Public contact emails from Cdiscount |
| [Coupang Email Scraper](https://apify.com/neuro-scraper/coupang-email-scraper) | Public contact emails from Coupang |
| [Depop Email Scraper](https://apify.com/leads-scraper/depop-email-scraper) | Public contact emails from Depop |
| [DHgate Email Scraper](https://apify.com/neuro-scraper/dhgate-email-scraper) | Public contact emails from DHgate |
| [eBay Email Scraper](https://apify.com/leads-scraper/ebay-email-scraper) | Public contact emails from eBay |
| [Ecwid Store Email Scraper](https://apify.com/neuro-scraper/ecwid-store-email-scraper) | Public contact emails from Ecwid Store |
| [Etsy Email Scraper](https://apify.com/leads-scraper/etsy-email-scraper) | Public contact emails from Etsy |
| [Faire Email Scraper](https://apify.com/leads-scraper/faire-email-scraper) | Public contact emails from Faire |
| [Flipkart Email Scraper](https://apify.com/leads-scraper/flipkart-email-scraper) | Public contact emails from Flipkart |
| [Home Depot Seller Email Scraper](https://apify.com/leads-scraper/home-depot-seller-email-scraper) | Public contact emails from Home Depot |
| [JD.com Email Scraper](https://apify.com/leads-scraper/jd-com-email-scraper) | Public contact emails from JD.com |
| [Lazada Email Scraper](https://apify.com/neuro-scraper/lazada-email-scraper) | Public contact emails from Lazada |
| [Lowe's Seller Email Scraper](https://apify.com/leads-scraper/lowes-seller-email-scraper) | Public contact emails from Lowe's |
| [MercadoLibre Email Scraper](https://apify.com/neuro-scraper/mercadolibre-email-scraper) | Public contact emails from MercadoLibre |
| [Mercari Email Scraper](https://apify.com/neuro-scraper/mercari-email-scraper) | Public contact emails from Mercari |
| [Otto Email Scraper](https://apify.com/leads-scraper/otto-email-scraper) | Public contact emails from Otto |
| [Overstock Email Scraper](https://apify.com/leads-scraper/overstock-email-scraper) | Public contact emails from Overstock |
| [Poshmark Email Scraper](https://apify.com/leads-scraper/poshmark-email-scraper) | Public contact emails from Poshmark |
| [Rakuten Email Scraper](https://apify.com/neuro-scraper/rakuten-email-scraper) | Public contact emails from Rakuten |
| [Shopee Email Scraper](https://apify.com/leads-scraper/shopee-email-scraper) | Public contact emails from Shopee |
| [Shopify Store Email Scraper](https://apify.com/leads-scraper/shopify-store-email-scraper) | Public contact emails from Shopify Store |
| [Taobao Email Scraper](https://apify.com/leads-scraper/taobao-email-scraper) | Public contact emails from Taobao |
| [Target Seller Email Scraper](https://apify.com/neuro-scraper/target-seller-email-scraper) | Public contact emails from Target |
| [Temu Email Scraper](https://apify.com/leads-scraper/temu-email-scraper) | Public contact emails from Temu |
| [Tmall Email Scraper](https://apify.com/leads-scraper/tmall-email-scraper) | Public contact emails from Tmall |
| [Vinted Email Scraper](https://apify.com/leads-scraper/vinted-email-scraper) | Public contact emails from Vinted |
| [Walmart Email Scraper](https://apify.com/leads-scraper/walmart-email-scraper) | Public contact emails from Walmart |
| [Wayfair Email Scraper](https://apify.com/neuro-scraper/wayfair-email-scraper) | Public contact emails from Wayfair |
| [Wish Email Scraper](https://apify.com/leads-scraper/wish-email-scraper) | Public contact emails from Wish |
| [Wix Stores Email Scraper](https://apify.com/leads-scraper/wix-stores-email-scraper) | Public contact emails from Wix Stores |
| [WooCommerce Email Scraper](https://apify.com/neuro-scraper/woocommerce-email-scraper) | Public contact emails from WooCommerce |
| [Zalando Email Scraper](https://apify.com/leads-scraper/zalando-email-scraper) | Public contact emails from Zalando |
| [AliExpress Email and Phone Number Scraper](https://apify.com/neuro-scraper/aliexpress-email-and-phone-number-scraper) | Emails and phone numbers from AliExpress |
| [Allegro Email and Phone Number Scraper](https://apify.com/neuro-scraper/allegro-email-and-phone-number-scraper) | Emails and phone numbers from Allegro |
| [Amazon Email and Phone Number Scraper](https://apify.com/leads-scraper/amazon-email-and-phone-number-scraper) | Emails and phone numbers from Amazon |

### FAQ about the Newegg Email Scraper

#### Does the Newegg Email Scraper use the Newegg API?

No. It does not use any Newegg API, does not log in, and does not open the Newegg website. Every field comes from publicly indexed Google search results.

#### Is this Actor affiliated with or endorsed by Newegg?

No. It is an independent tool built on public Google results, and it is not officially supported by, affiliated with or endorsed by Newegg.

#### Will I get marketplace sellers or brands?

Both. Newegg mixes first-party and marketplace listings, so some rows carry a brand contact rather than a marketplace-seller handle. Steer with your keywords and filter on `profileUrl` afterwards.

#### How do I tell a seller row from a brand row?

Marketplace-seller rows usually have a populated `username` and `profileUrl`. Brand rows more often show only `accountName` and `fullName` with an empty handle.

#### Which domain does the Newegg Email Scraper search?

`newegg.com`. Every query is scoped with Google's `site:` operator so results stay inside Newegg.

#### Whose emails does the Newegg Email Scraper actually find?

Mostly business mailboxes — sales, customer service, RMA and wholesale enquiries — published so buyers and trade partners can write in.

#### Why does the Newegg Email Scraper leave `username` and `profileUrl` empty on some rows?

Those fields fill only when Google's result exposes a usable handle. When Google prints only a display name you still get `accountName` and `fullName`. This is a Google limitation, not a bug.

#### What does `possiblyTruncated: true` mean?

Google's snippet ellipsis touched the email, so the address may be cut off. Treat those rows as leads to verify rather than addresses to mail.

#### How many emails can one Newegg Email Scraper run return?

Free Apify plans stop at 100 emails per run. Paid plans are uncapped and bounded by `maxEmails`, which accepts 1 to 10000.

#### Do I need a proxy?

Yes. The Newegg Email Scraper requires the Apify GOOGLE\_SERP proxy and cannot run without Apify proxy credentials.

#### Why did I get fewer emails than `maxEmails`?

Google caps a single query at roughly 300 results, and only some listings publish an email that Google indexes. Widening `keywords` and `customDomains` usually helps more than raising `maxPagesPerQuery`.

#### Can a run be resumed after a migration?

Yes. Progress is stored in the key-value store keyed by a hash of your input, and saved on Apify's `PERSIST_STATE`, `MIGRATING` and `ABORTING` events.

#### Is this data compliant to use?

The Newegg Email Scraper only collects addresses already public in Google's index. How you store and use them — GDPR, CAN-SPAM, local marketing rules and Newegg's own terms — remains your responsibility.

### Leave a review

If the Newegg Email Scraper saved you time, please leave a star rating and a short review on
the Actor page.

Reviews are how other buyers judge whether a tool works, and they tell us which features to
build next.

If something did not work, email <neurodata.apify@gmail.com>
instead - bugs get fixed faster than they get complained about.

### Support

Questions, feature requests or a custom build? Email **neurodata.apify@gmail.com**.

# Actor input Schema

## `keywords` (type: `array`):

Search terms describing the Newegg accounts you want (niche, job title, industry).

## `location` (type: `string`):

Optional location phrase added to every query (e.g. "New York").

## `customDomains` (type: `array`):

Only emails ending with one of these domains are collected. With or without the leading @. Each domain is searched separately, so more domains means more results but a longer run - remove some for a faster, narrower search, or add your own (e.g. @company.com).

## `maxEmails` (type: `integer`):

Stop once this many unique emails have been collected.

## `countryCode` (type: `string`):

Two-letter country code for the search proxy (e.g. US, GB, DE). Empty for any.

## `expandQueries` (type: `boolean`):

Search each keyword x domain pair with several phrasings. Recommended - Google caps a single query at ~300 results.

## `queryModifiers` (type: `array`):

Extra words combined with each keyword when Expand queries is on. Tuned for Newegg.

## `maxPagesPerQuery` (type: `integer`):

Google rarely returns more than ~30 pages for one query.

## `maxConcurrency` (type: `integer`):

How many queries run in parallel.

## Actor input object example

```json
{
  "keywords": [
    "seller",
    "brand"
  ],
  "location": "",
  "customDomains": [
    "@gmail.com",
    "@yahoo.com"
  ],
  "maxEmails": 20,
  "countryCode": "",
  "expandQueries": true,
  "queryModifiers": [
    "email",
    "contact",
    "wholesale",
    "customer service",
    "inquiries"
  ],
  "maxPagesPerQuery": 30,
  "maxConcurrency": 5
}
```

# Actor output Schema

## `results` (type: `string`):

Records produced by Newegg Email Scraper, stored in the run's default dataset.

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "keywords": [
        "seller",
        "brand"
    ],
    "location": "",
    "customDomains": [
        "@gmail.com",
        "@yahoo.com"
    ],
    "countryCode": "",
    "queryModifiers": [
        "email",
        "contact",
        "wholesale",
        "customer service",
        "inquiries"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("leads-scraper/newegg-email-scraper").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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "keywords": [
        "seller",
        "brand",
    ],
    "location": "",
    "customDomains": [
        "@gmail.com",
        "@yahoo.com",
    ],
    "countryCode": "",
    "queryModifiers": [
        "email",
        "contact",
        "wholesale",
        "customer service",
        "inquiries",
    ],
}

# Run the Actor and wait for it to finish
run = client.actor("leads-scraper/newegg-email-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "keywords": [
    "seller",
    "brand"
  ],
  "location": "",
  "customDomains": [
    "@gmail.com",
    "@yahoo.com"
  ],
  "countryCode": "",
  "queryModifiers": [
    "email",
    "contact",
    "wholesale",
    "customer service",
    "inquiries"
  ]
}' |
apify call leads-scraper/newegg-email-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,leads-scraper/newegg-email-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/Yrf0wO69Msrm47LUG/builds/dBOjfOBiXYlFyhZsq/openapi.json