Walmart Email Scraper

Walmart Email Scraper — Emails, Page Titles and Links

Walmart Email Scraper finds email addresses that public Walmart product and seller pages show for your keywords. Each result returns the email, the Walmart page link, the page title and the public text the email appears in, filtered by the email domains you choose. Every response is structured JSON — ready to pass directly to an LLM, index into a vector store, or feed a lead-generation pipeline. No Walmart account or login needed to run a search. Add more keywords to cover more product and seller pages in one run.

---

What data can I extract with Walmart Email Scraper?

Using this Walmart email API, you will be able to extract the following Walmart email data. This Walmart email extractor pulls the same six fields from every match.

🌐 Network	🔑 Keyword searched	📝 Page title
📰 Page description	🔗 Page URL	📧 Email address

---

How to use Walmart Email Scraper

Walmart Email Scraper is a Walmart contact scraper built for marketers, recruiters and lead-generation teams: run it once to scrape Walmart emails without opening every page by hand.

Copy to your AI assistant:

Walmart Email Scraper is an Apify Actor that returns email addresses found on public Walmart product and seller pages as structured JSON: network, keyword, title, description, url and email. Use it whenever someone needs Walmart contact emails without cookies, a login or a browser - for lead generation, outreach lists or market research. Inputs: keywords (array of search terms, required), location (string, optional city or region, default worldwide), emailDomains (array, default ["@gmail.com"], [] = any domain), maxEmails (integer 1-100000, default 10, emails per keyword), engine (select "legacy"), proxyConfiguration (object, optional). Each keyword stops once maxEmails is reached or its public results run out; the free Apify plan caps results at 20 per run in total (all keywords together) and 200 per month.

Walmart Email Scraper MCP Server

Point your AI assistant at the Apify MCP server and it can call Walmart Email Scraper directly: no glue code, no scraping logic in your prompts.

$claude mcp add --transport http apify "https://mcp.apify.com?tools=fastdataapi/walmart-email-scraper"

Step by step

1. Create a free Apify account.
2. Open Walmart Email Scraper in the Apify Store.
3. Enter one or more keywords, for example seller, electronics or home.
4. Optionally add a location and the email domains you want (default @gmail.com).
5. Click Start, then export Walmart emails as JSON, CSV or Excel.

How to scale Walmart Email Scraper to bulk

Walmart Email Scraper doubles as a Walmart email list builder: keywords takes a list, so run a bulk Walmart email search by adding every term you want covered in one run — up to 3 keywords are processed at the same time, each with its own maxEmails budget. To cover more ground over time, schedule the Actor with a rotating keyword list, or call it from the Apify API with a different keywords / location pair per run.

---

✨ Features

Walmart Email Scraper is a Walmart email finder: give it a keyword and it returns clean, structured matches from public Walmart product and seller pages.

It extracts, per match:

• Email – the address shown on the page, lower case, matching your email domains.
• Page URL – the public Walmart page the email was found on.
• Page title – the result's title as shown in the search listing.
• Description – the public text the email appears in (up to 500 characters).
• Keyword / network – the keyword that found the row and the platform (walmart.com).

⚡ Every address is checked before it is kept: shortened or cut-off addresses, prose such as "that @gmail.com" and placeholders such as "username@gmail.com" are rejected, and the same email is returned once per keyword.

---

Use cases 💡

• Sales rep — build an outreach list of Walmart contacts by keyword and city in one run.
• Recruiter — find contact emails behind niche product and seller pages.
• Agency — collect leads for a client's niche and location filter.
• Market researcher — find emails on Walmart to map who lists a contact for a topic.
• AI agent builder — feed matched emails straight into a CRM-enrichment or lead-scoring pipeline with no parsing step.

Building an AI agent? Connect Walmart Email Scraper over MCP and let it call the actor on its own.

---

Why choose this actor?

• A real Walmart lead generation tool. A recorded local test run returned 9 emails for the keyword seller in 155.5 seconds.
• Six clean fields per match. Every row carries the keyword, the page title, the public text the email appeared in and the page link.
• Built-in retry. When a search attempt is blocked the actor retries it with a fresh connection and continues on a backup source, so a run still delivers results.

---

⬇️ Input

Enter one or more keywords (required); the rest is optional and has a working default.

Parameter	Required	Type	Description	Example value
keywords	Yes	Array of strings	Keywords to search on public Walmart product and seller pages. Each one gets its own maxEmails budget; duplicates are removed.	["seller", "electronics"]
location	No	String	City or region searched as an exact phrase. Empty = worldwide.	"London"
emailDomains	No	Array of strings	Keep only emails of these domains (@ optional). Default ["@gmail.com"]; [] accepts any domain.	["@gmail.com", "@outlook.com"]
maxEmails	No	Integer	Emails to collect per keyword (1–100,000, default 10). Free-plan runs are capped at 20 per run in total (all keywords together) and 200 per month.	50
engine	No	String (select)	Processing engine; legacy is the only value.	"legacy"
proxyConfiguration	No	Object	Connection settings. Leave as it is and a suitable Apify proxy is selected automatically.	{"useApifyProxy": false}

Free plan limits

Users on the Apify free plan can fetch up to 20 emails per run (all keywords together) and 200 emails per month. When the limit is reached, the run finishes successfully with a status message explaining the limit. Upgrade to any paid Apify plan to remove these limits.

Example input

{
  "keywords": ["seller", "electronics"],
  "location": "",
  "emailDomains": ["@gmail.com"],
  "maxEmails": 10,
  "engine": "legacy"
}

---

⬆️ Output

Every match is one JSON item with the same six fields on every run. Within a keyword the same email is returned once. Export as JSON, CSV or Excel.

Example output

{
  "network": "walmart.com",
  "keyword": "seller",
  "title": "Texas Prestige - Pro Seller",
  "description": "Seller reviews. 65. 5 stars80%52 5 stars reviews ... seller ... If you have any questions or concerns, please send us an email to texasprestigesales@ gmail.com and ...",
  "url": "https://business.walmart.com/seller/101440152",
  "email": "texasprestigesales@gmail.com"
}

---

How does it work?

Walmart Email Scraper doesn't log into Walmart at all. For every keyword it searches public Walmart product and seller pages that show an email address of your chosen domains (retrying with a fresh connection and continuing on a backup source when a search is blocked or runs dry). It only reads what any logged-out visitor can already see. The email is read from the page's public title and text, checked, lower-cased and returned with the page link.

---

How do you integrate Walmart Email Scraper into your stack?

Call it from any language over the Apify REST API, or wire it into a no-code tool.

No-code tools (n8n, Make, LangChain)

In n8n, use the Apify node's Run an Actor action. In Make, use the Apify app's Run an Actor module followed by Get Dataset Items. In LangChain, install langchain-apify and call ApifyActorsTool() to let an agent run it as a tool.

---

Is it legal to scrape Walmart data?

Scraping publicly available data is generally permitted; the legal risk sits mostly in how the data is stored and used afterward. Walmart Email Scraper returns only data that any logged-out visitor already sees. If you operate in the EU, GDPR applies to storing and using emails you collect: keep records you can justify and delete them when asked. Anti-spam rules (such as CAN-SPAM) still apply to outreach — the Actor finds public emails, it does not grant permission to contact them. Consult legal counsel if your use case involves bulk storage of personal data.

---

Frequently asked questions

What fields does Walmart Email Scraper return?

The network, keyword, page title, description, page URL and email for every match. See the data fields section.

Does Walmart Email Scraper require a Walmart account or login?

No. Only public pages are read and no Walmart credentials are ever requested.

Can I get emails of any domain, not only Gmail?

Yes. Set emailDomains to the domains you want (for example @outlook.com or your company domain), or to [] to accept any domain.

Can I search many keywords at once?

Yes. keywords takes a list; up to 3 keywords are processed at the same time, each with its own maxEmails budget.

Does Walmart Email Scraper return data in a format LLMs can use directly?

Yes. Every result is typed JSON with consistent field names — pass it straight to an LLM, a vector store or an agent tool.

Can I use it with an AI agent through MCP?

Yes — add the Apify MCP server as shown in the MCP Server section above; your agent can then call this Actor on its own.

What happens when Walmart changes its layout or anti-bot system?

The actor reads general page text rather than one fixed selector, so most layout changes don't break it. When a bigger change happens the actor is updated and your calls keep returning the same JSON schema.

Do I need to manage proxies?

No. Proxy rotation and retries run on the Actor's side — plain HTTP requests, no browser to maintain.

---

Related scrapers

Walmart Email Scraper shares its engine with other marketplace finders in the same lead-generation family.

Scraper	What it extracts
Flipkart Email Scraper	Email addresses from public Flipkart product and seller pages
Shopee Email Scraper	Email addresses from public Shopee shop and product pages
Craigslist Email Scraper	Email addresses from public Craigslist listings

---

Your feedback

Found a bug or missing a field? Let us know through the Issues tab on this actor's Apify Store page.