diff --git a/surfsense_web/content/docs/connectors/index.mdx b/surfsense_web/content/docs/connectors/index.mdx
index 04241f79f..eb3f28052 100644
--- a/surfsense_web/content/docs/connectors/index.mdx
+++ b/surfsense_web/content/docs/connectors/index.mdx
@@ -12,7 +12,7 @@ Connectors bring data into SurfSense — either as searchable knowledge or as li
   <Card
     icon={<Zap />}
     title="Native Connectors"
-    description="SurfSense's built-in scraper APIs: Reddit, YouTube, Instagram, TikTok, Amazon, Google Maps, Google Search, and Web Crawl — usable in chat, the API Playground, or via REST"
+    description="SurfSense's built-in scraper APIs: Reddit, YouTube, Instagram, TikTok, Amazon, Walmart, Google Maps, Google Search, and Web Crawl — usable in chat, the API Playground, or via REST"
     href="/docs/connectors/native"
   />
   <Card
diff --git a/surfsense_web/content/docs/connectors/native/index.mdx b/surfsense_web/content/docs/connectors/native/index.mdx
index 01de076c0..36d7e036b 100644
--- a/surfsense_web/content/docs/connectors/native/index.mdx
+++ b/surfsense_web/content/docs/connectors/native/index.mdx
@@ -1,6 +1,6 @@
 ---
 title: Native Connectors
-description: SurfSense's built-in scraper APIs for Reddit, YouTube, Instagram, TikTok, Amazon, Google Maps, Google Search, and the web
+description: SurfSense's built-in scraper APIs for Reddit, YouTube, Instagram, TikTok, Amazon, Walmart, Google Maps, Google Search, and the web
 ---
 
 import { Card, Cards } from 'fumadocs-ui/components/card';
@@ -43,6 +43,11 @@ Native connectors are SurfSense's own scraper APIs — built into the platform,
     description="Public product data: prices, ratings, offers, sellers, and best-seller ranks"
     href="/docs/connectors/native/amazon"
   />
+  <Card
+    title="Walmart"
+    description="Public product data and deep reviews: prices, ratings, sellers, and variants"
+    href="/docs/connectors/native/walmart"
+  />
   <Card
     title="Web Crawl"
     description="Scrape any page or spider a whole site into clean markdown"
diff --git a/surfsense_web/content/docs/connectors/native/meta.json b/surfsense_web/content/docs/connectors/native/meta.json
index 10de2bbe8..399ebd7ac 100644
--- a/surfsense_web/content/docs/connectors/native/meta.json
+++ b/surfsense_web/content/docs/connectors/native/meta.json
@@ -8,6 +8,7 @@
 		"google-maps",
 		"google-search",
 		"amazon",
+		"walmart",
 		"web-crawl"
 	],
 	"defaultOpen": false
diff --git a/surfsense_web/content/docs/connectors/native/walmart.mdx b/surfsense_web/content/docs/connectors/native/walmart.mdx
new file mode 100644
index 000000000..4c336a48e
--- /dev/null
+++ b/surfsense_web/content/docs/connectors/native/walmart.mdx
@@ -0,0 +1,71 @@
+---
+title: Walmart
+description: Scrape public Walmart product data and deep reviews as structured JSON
+---
+
+The Walmart scraper returns public product data as structured JSON: price and list price, rating and review count, availability, 1P and marketplace sellers, variants, specifications, and a free on-page review sample. A second verb pages the full public review history for a product. It only uses public, anonymous data — no login or seller account. Give it search terms or Walmart product, search, category, or browse URLs.
+
+Walmart data is the US marketplace (`walmart.com`). The scraper reads the JSON Walmart server-renders into each page rather than the rendered DOM, which keeps extraction stable against the frequent front-end A/B testing on the site.
+
+## Scrape products
+
+```bash
+POST /api/v1/workspaces/{workspace_id}/scrapers/walmart/scrape
+```
+
+### Inputs
+
+| Field | Default | Description |
+|-------|---------|-------------|
+| `urls` | — | Walmart product (`/ip/`), search (`/search`), category (`/cp/`), or browse (`/browse/`) URLs. Provide `urls` or `search_terms` |
+| `search_terms` | — | Search phrases run on `walmart.com`, e.g. `air fryer`. Provide `search_terms` or `urls` |
+| `max_items` | `10` | Max products per search term or category/browse URL (1–100) |
+| `include_details` | `true` | Fetch full product detail pages; `false` returns faster card-only results |
+| `include_reviews_sample` | `true` | Attach the free on-page review sample from each detail page. For full history use the reviews verb |
+
+At least one of `urls` or `search_terms` is required, with up to 20 combined sources per call.
+
+```bash
+curl -X POST "$BASE_URL/api/v1/workspaces/1/scrapers/walmart/scrape" \
+  -H "Authorization: Bearer $SURFSENSE_API_KEY" \
+  -H "Content-Type: application/json" \
+  -d '{
+    "search_terms": ["air fryer"],
+    "max_items": 5,
+    "include_reviews_sample": true
+  }'
+```
+
+The response is `{ "items": [...] }` — one item per product, plus structured error items for any input that could not be resolved. Billing is per returned product; error items are never billed.
+
+## Fetch reviews
+
+```bash
+POST /api/v1/workspaces/{workspace_id}/scrapers/walmart/reviews
+```
+
+### Inputs
+
+| Field | Default | Description |
+|-------|---------|-------------|
+| `urls` | — | Walmart product (`/ip/`) or reviews URLs to fetch reviews for. Provide `urls` or `item_ids` |
+| `item_ids` | — | Walmart numeric item ids (`usItemId`) to fetch reviews for. Provide `item_ids` or `urls` |
+| `max_reviews` | `200` | Max reviews per product (1–5000); reviews are paged 10 at a time |
+| `sort_by` | `most-recent` | Review ordering: `most-recent`, `most-helpful`, `rating-high`, or `rating-low` |
+
+At least one of `urls` or `item_ids` is required, with up to 20 combined sources per call.
+
+```bash
+curl -X POST "$BASE_URL/api/v1/workspaces/1/scrapers/walmart/reviews" \
+  -H "Authorization: Bearer $SURFSENSE_API_KEY" \
+  -H "Content-Type: application/json" \
+  -d '{
+    "urls": ["https://www.walmart.com/ip/1234567890"],
+    "max_reviews": 500,
+    "sort_by": "most-recent"
+  }'
+```
+
+The response is `{ "items": [...] }` — one item per review with rating, title, text, author, date, verified-purchase flag, helpful votes, images, and any seller response. Billing is per returned review; error items are never billed.
+
+For the full input and output JSON schemas and generated code snippets in your language, open **API Playground → Walmart** in your workspace.
diff --git a/surfsense_web/content/docs/how-to/mcp-server.mdx b/surfsense_web/content/docs/how-to/mcp-server.mdx
index e9c2ed779..07c33f3b7 100644
--- a/surfsense_web/content/docs/how-to/mcp-server.mdx
+++ b/surfsense_web/content/docs/how-to/mcp-server.mdx
@@ -7,7 +7,7 @@ import { Tab, Tabs } from 'fumadocs-ui/components/tabs';
 
 # SurfSense MCP Server
 
-The SurfSense MCP server exposes your workspace to any [Model Context Protocol](https://modelcontextprotocol.io/) client. Your agent gets 25 native, typed tools: every scraper (Reddit, YouTube, Instagram, TikTok, Amazon, Google Maps, Google Search, web crawl), full knowledge-base access (search, read, add, upload, update, delete), and a workspace selector.
+The SurfSense MCP server exposes your workspace to any [Model Context Protocol](https://modelcontextprotocol.io/) client. Your agent gets 27 native, typed tools: every scraper (Reddit, YouTube, Instagram, TikTok, Amazon, Walmart, Google Maps, Google Search, web crawl), full knowledge-base access (search, read, add, upload, update, delete), and a workspace selector.
 
 Connect it two ways: the **hosted** server at `https://mcp.surfsense.com/mcp` (nothing to install — just an API key), or run it yourself over **stdio** against any SurfSense backend, cloud or self-hosted.