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Walmart Category API

Scrape Walmart Category data with one API call. Returns products listed in a Walmart category, up to 100 per call, with title, price, rating, review count, image, availability, and seller. Unlike keyword search this endpoint DOES return real prices, which makes it the better source for price monitoring across a product set. Category ids appear in the category URLs on a product detail response (for example 3944 for Electronics). Two upstream caveats measured against the live source: sort_by is applied loosely and does not guarantee a globally ordered page (sort client-side if you need one), and brand is not populated on category rows, so read it from GET /v1/walmart/product when you need it.

Last updated October 2026Maintained by the SocialCrawl team

Returns products listed in a Walmart category, up to 100 per call, each with title, real price, rating, review count, image, availability, and seller.

Use it to walk or price-monitor a whole Walmart category by its id, since it reports real prices. De-duplicate by product id when paging.

Searching 69 platforms in parallel

·TikTok logoTikTok·Instagram logoInstagram·YouTube logoYouTube·Facebook logoFacebook·X logoX·LinkedIn logoLinkedIn·Reddit logoReddit·Threads logoThreads·Pinterest logoPinterest·Twitch logoTwitch·Truth Social logoTruth Social·Snapchat logoSnapchat·Kick logoKick·Bluesky logoBluesky·Kwai logoKwai·Rumble logoRumble·Spotify logoSpotify·Apple Music logoApple Music·TikTok Shop logoTikTok Shop·Amazon Shop logoAmazon Shop·Google Shopping logoGoogle Shopping·Trustpilot logoTrustpilot·TripAdvisor logoTripAdvisor·Yelp logoYelp·Linktree logoLinktree·Komi logoKomi·Pillar logoPillar·lnk.bio logolnk.bio·Facebook Ads logoFacebook Ads·Google Ads logoGoogle Ads·LinkedIn Ads logoLinkedIn Ads·Google Search logoGoogle Search·Google News logoGoogle News·Finance logoFinance·Polymarket logoPolymarket·Tavily logoTavily·Hacker News logoHacker News·GitHub logoGitHub·Perplexity logoPerplexity·Naver logoNaver·Utility logoUtility·Universal Search logoUniversal Search
·TikTok logoTikTok·Instagram logoInstagram·YouTube logoYouTube·Facebook logoFacebook·X logoX·LinkedIn logoLinkedIn·Reddit logoReddit·Threads logoThreads·Pinterest logoPinterest·Twitch logoTwitch·Truth Social logoTruth Social·Snapchat logoSnapchat·Kick logoKick·Bluesky logoBluesky·Kwai logoKwai·Rumble logoRumble·Spotify logoSpotify·Apple Music logoApple Music·TikTok Shop logoTikTok Shop·Amazon Shop logoAmazon Shop·Google Shopping logoGoogle Shopping·Trustpilot logoTrustpilot·TripAdvisor logoTripAdvisor·Yelp logoYelp·Linktree logoLinktree·Komi logoKomi·Pillar logoPillar·lnk.bio logolnk.bio·Facebook Ads logoFacebook Ads·Google Ads logoGoogle Ads·LinkedIn Ads logoLinkedIn Ads·Google Search logoGoogle Search·Google News logoGoogle News·Finance logoFinance·Polymarket logoPolymarket·Tavily logoTavily·Hacker News logoHacker News·GitHub logoGitHub·Perplexity logoPerplexity·Naver logoNaver·Utility logoUtility·Universal Search logoUniversal Search
·TikTok logoTikTok·Instagram logoInstagram·YouTube logoYouTube·Facebook logoFacebook·X logoX·LinkedIn logoLinkedIn·Reddit logoReddit·Threads logoThreads·Pinterest logoPinterest·Twitch logoTwitch·Truth Social logoTruth Social·Snapchat logoSnapchat·Kick logoKick·Bluesky logoBluesky·Kwai logoKwai·Rumble logoRumble·Spotify logoSpotify·Apple Music logoApple Music·TikTok Shop logoTikTok Shop·Amazon Shop logoAmazon Shop·Google Shopping logoGoogle Shopping·Trustpilot logoTrustpilot·TripAdvisor logoTripAdvisor·Yelp logoYelp·Linktree logoLinktree·Komi logoKomi·Pillar logoPillar·lnk.bio logolnk.bio·Facebook Ads logoFacebook Ads·Google Ads logoGoogle Ads·LinkedIn Ads logoLinkedIn Ads·Google Search logoGoogle Search·Google News logoGoogle News·Finance logoFinance·Polymarket logoPolymarket·Tavily logoTavily·Hacker News logoHacker News·GitHub logoGitHub·Perplexity logoPerplexity·Naver logoNaver·Utility logoUtility·Universal Search logoUniversal Search
·TikTok logoTikTok·Instagram logoInstagram·YouTube logoYouTube·Facebook logoFacebook·X logoX·LinkedIn logoLinkedIn·Reddit logoReddit·Threads logoThreads·Pinterest logoPinterest·Twitch logoTwitch·Truth Social logoTruth Social·Snapchat logoSnapchat·Kick logoKick·Bluesky logoBluesky·Kwai logoKwai·Rumble logoRumble·Spotify logoSpotify·Apple Music logoApple Music·TikTok Shop logoTikTok Shop·Amazon Shop logoAmazon Shop·Google Shopping logoGoogle Shopping·Trustpilot logoTrustpilot·TripAdvisor logoTripAdvisor·Yelp logoYelp·Linktree logoLinktree·Komi logoKomi·Pillar logoPillar·lnk.bio logolnk.bio·Facebook Ads logoFacebook Ads·Google Ads logoGoogle Ads·LinkedIn Ads logoLinkedIn Ads·Google Search logoGoogle Search·Google News logoGoogle News·Finance logoFinance·Polymarket logoPolymarket·Tavily logoTavily·Hacker News logoHacker News·GitHub logoGitHub·Perplexity logoPerplexity·Naver logoNaver·Utility logoUtility·Universal Search logoUniversal Search
Walmart API

What can you do with the Category API?

The Category endpoint gives you structured Walmart data with computed fields in a single request. No scraping infrastructure to build or maintain.

Example Request

# GET /v1/walmart/category: 5 credits per page. Cache hits are free and failed calls are refunded.
# Check the price first for 0 credits: add dry_run=1 to the query. Nothing is fetched or charged.
# --max-time 60: the API's own time limit for this endpoint.
# --retry 3: retries timeouts, 429 and 5xx, honoring Retry-After.
# -o response.json keeps only the final attempt's body.
# One Idempotency-Key per request, reused on every retry, so a retried call is never charged twice.
# Next page: send pagination.next_cursor back as cursor until pagination.has_more is false.
IDEMPOTENCY_KEY=$(od -An -N16 -tx1 /dev/urandom | tr -d ' \n')
curl -sS --max-time 60 --retry 3 -o response.json \
  -H "x-api-key: YOUR_API_KEY" \
  -H "Idempotency-Key: $IDEMPOTENCY_KEY" \
  "https://www.socialcrawl.dev/v1/walmart/category?category_id=3944&limit=40&country=US" && cat response.json
# GET /v1/walmart/category: 5 credits per page. Cache hits are free and failed calls are refunded.
# Check the price first for 0 credits: add dry_run=1 to the query. Nothing is fetched or charged.
import os
import random
import time
import uuid

import requests

API_KEY = os.environ.get("SOCIALCRAWL_API_KEY", "YOUR_API_KEY")
TIMEOUT_S = 60  # the API's own time limit for this endpoint.
MAX_RETRIES = 3
URL = "https://www.socialcrawl.dev/v1/walmart/category"


def backoff(attempt):
    # Exponential backoff with jitter: about 1 s, 2 s, then 4 s.
    return 2 ** attempt * (0.5 + random.random() / 2)


def socialcrawl(params):
    # One Idempotency-Key per request, reused on every retry, so a retried call is never charged twice.
    idempotency_key = str(uuid.uuid4())
    for attempt in range(MAX_RETRIES + 1):
        try:
            res = requests.get(
                URL,
                params=params,
                headers={"x-api-key": API_KEY, "Idempotency-Key": idempotency_key},
                timeout=TIMEOUT_S,
            )
            body = res.json()
        except (requests.RequestException, ValueError):
            # A timeout, a dropped connection or a non-JSON gateway page: retry with the same key.
            if attempt == MAX_RETRIES:
                raise
            time.sleep(backoff(attempt))
            continue
        if body["success"]:
            return body
        error = body["error"]
        # Branch on error["type"], never on the message text.
        if error["type"] == "RESOURCE_NOT_FOUND":
            return None  # refunded: nothing to read
        retry_after = res.headers.get("Retry-After")
        # SERVICE_UNAVAILABLE without Retry-After is a withdrawn endpoint: permanent.
        permanent = error["type"] == "SERVICE_UNAVAILABLE" and retry_after is None
        if not error.get("retryable") or permanent or attempt == MAX_RETRIES:
            raise RuntimeError(f"{error['type']}: {error['message']} (request_id {body['request_id']})")
        # Retry-After (seconds) wins; otherwise back off.
        time.sleep(float(retry_after) if retry_after else backoff(attempt))


params = {
    "category_id": "3944",
    "limit": "40",
    "country": "US",
}

# Walk the list: send pagination.next_cursor back as cursor until has_more is false.
MAX_PAGES = 10  # each page is one call
items = []
for _ in range(MAX_PAGES):
    body = socialcrawl(params)
    if body is None:
        break
    items.extend(body["data"]["items"])
    page = body.get("pagination") or {}
    if not page.get("has_more") or not page.get("next_cursor"):
        break
    params["cursor"] = page["next_cursor"]
print(f"{len(items)} items")
// GET /v1/walmart/category: 5 credits per page. Cache hits are free and failed calls are refunded.
// Check the price first for 0 credits: add dry_run=1 to the query. Nothing is fetched or charged.
const API_KEY = process.env.SOCIALCRAWL_API_KEY ?? "YOUR_API_KEY";
const TIMEOUT_MS = 60_000; // the API's own time limit for this endpoint.
const MAX_RETRIES = 3;

type Page = { next_cursor: string | null; has_more: boolean };
type SocialCrawlResponse =
  | { success: true; data: any; pagination?: Page; credits_used: number; request_id: string }
  | { success: false; error: { type: string; message: string; retryable: boolean }; request_id: string };

const sleep = (ms: number) => new Promise((resolve) => setTimeout(resolve, ms));
// Exponential backoff with jitter: about 1 s, 2 s, then 4 s.
const backoffMs = (attempt: number) => 2 ** attempt * 1000 * (0.5 + Math.random() / 2);

async function socialcrawl(url: URL) {
  // One Idempotency-Key per request, reused on every retry, so a retried call is never charged twice.
  const idempotencyKey = crypto.randomUUID();
  for (let attempt = 0; ; attempt++) {
    let res: Response;
    let body: SocialCrawlResponse;
    try {
      res = await fetch(url, {
        headers: {
          "x-api-key": API_KEY,
          "Idempotency-Key": idempotencyKey,
        },
        signal: AbortSignal.timeout(TIMEOUT_MS),
      });
      body = (await res.json()) as SocialCrawlResponse;
    } catch (error) {
      // A timeout, a dropped connection or a non-JSON gateway page: retry with the same key.
      if (attempt >= MAX_RETRIES) throw error;
      await sleep(backoffMs(attempt));
      continue;
    }
    if (body.success) return body;
    // Branch on error.type, never on the message text.
    if (body.error.type === "RESOURCE_NOT_FOUND") return null; // refunded: nothing to read
    const retryAfter = res.headers.get("Retry-After");
    // SERVICE_UNAVAILABLE without Retry-After is a withdrawn endpoint: permanent.
    const permanent = body.error.type === "SERVICE_UNAVAILABLE" && retryAfter === null;
    if (!body.error.retryable || permanent || attempt >= MAX_RETRIES) {
      throw new Error(`${body.error.type}: ${body.error.message} (request_id ${body.request_id})`);
    }
    // Retry-After (seconds) wins; otherwise back off.
    await sleep(retryAfter ? Number(retryAfter) * 1000 : backoffMs(attempt));
  }
}

const url = new URL("https://www.socialcrawl.dev/v1/walmart/category");
url.searchParams.set("category_id", "3944");
url.searchParams.set("limit", "40");
url.searchParams.set("country", "US");

// Walk the list: send pagination.next_cursor back as cursor until has_more is false.
const MAX_PAGES = 10; // each page is one call
const items: unknown[] = [];
for (let page = 0; page < MAX_PAGES; page++) {
  const body = await socialcrawl(url);
  if (!body) break;
  items.push(...body.data.items);
  const next = body.pagination?.next_cursor;
  if (!body.pagination?.has_more || !next) break;
  url.searchParams.set("cursor", next);
}
console.log(`${items.length} items`);

Parameters worth sending

  • country=US Results for one country.

Parameters

ParameterRequiredDescription
category_idYesWalmart category id, for example 3944 for Electronics. Category ids and their URLs are returned in the categories array of GET /v1/walmart/product.
pageNoPage number, starting at 1. Prefer the universal cursor parameter.
sort_byNoResult ordering: best_match (default), price_low, price_high, best_seller, or top_rated. (best_match | price_low | price_high | best_seller | top_rated)
min_priceNoLowest price to include. Must be below max_price when both are set. Applied by Walmart and approximate: it narrows the result set but occasionally returns a row outside the bound, so filter on product.price.current if you need a hard limit.
max_priceNoHighest price to include. Must be above min_price when both are set. Applied by Walmart and approximate: it narrows the result set but occasionally returns a row outside the bound, so filter on product.price.current if you need a hard limit.
zip_codeNoZIP code used to localise availability, pickup, and shipping options. Walmart pricing and stock are store-level, so results differ by location.
stateNoTwo-letter US state code used to localise results (for example CA, NY).
store_idNoWalmart store id, to restrict results to one physical store's assortment.
facetNoOpaque refinement token taken from a previous response's facet data (for example a brand or category filter).
countryNoWalmart marketplace as a two-letter country code: US (walmart.com, default) or CA (walmart.ca). A product id from one marketplace will not resolve in the other. (US | CA)
limitNoProducts per page, 1 to 100. Defaults to 40. Enforced by SocialCrawl: the page is trimmed to exactly this many rows.
max_pagesNo1 to 50 (default 1, or 50 when `max_items` or `max_credits` is sent). Walk up to this many pages in one call and return the rows from all of them. Each page walked is billed exactly as one call to this endpoint (a cached page is free) and counts against your rate limit; its charge and any refund are recorded under the page's own request id, listed in `data.walk.request_ids`. The walk stops early at the last page, or when the request's time budget runs low; `data.walk.stopped` says why (`end`, `max_pages`, `max_items`, `max_credits`, `time_budget`, `page_error`) and `pagination.next_cursor` continues from where it stopped.
max_itemsNo1 to 5000. Get more in one call: keep walking pages until the response holds at least this many rows, then stop with `data.walk.stopped: "max_items"`. The last page is returned whole (it was billed), so `data.items` can hold up to one page more than this, and `pagination.next_cursor` resumes right after it without skipping a row. Walks up to 50 pages unless `max_pages` says fewer; each page is billed as one call (a cached page is free). Add `max_credits` to cap the spend. A long walk can stop on the time budget first (`"time_budget"`): send the returned cursor with the same params to continue.
max_creditsNo1 to 100000. The most this call may spend, across every page it walks. A page starts only while the credits already spent plus that page's price (or, when higher, the most any page of this walk has cost) still fit, so the call never goes past it; the walk then stops with `data.walk.stopped: "max_credits"` and the cursor to resume. Sent alone, it walks as far as the budget goes (up to 50 pages). A value below the price of one page is a free 400 whose `error.details.page_credits` names that price. Credits a row join (`include=`) adds are known only once a page has run, so page 1 is checked against its own price.
Example Response

What does the Walmart Category API return?

Every response follows one unified schema. Here is a real, unmodified response body, so you can see the exact fields you get back before spending a credit.

Example response
{
  "success": true,
  "platform": "walmart",
  "endpoint": "/v1/walmart/category",
  "data": {
    "items": [
      {
        "product": {
          "id": "11384707978",
          "url": "https://www.walmart.com/ip/Apple-AirPods-4-with-Active-Noise-Cancellation/11384707978?classType=REGULAR&athbdg=L1102",
          "title": "Apple AirPods 4 with Active Noise Cancellation",
          "description": "Key Feature 1. Key Feature 2. Key Feature 3. Key Feature 4. Key Feature 5",
          "seller": "Walmart.com",
          "brand": null,
          "price": {
            "current": 144.99,
            "original": 179,
            "currency": "USD"
          },
          "rating": {
            "average": 4.4,
            "count": 27651
          },
          "image_urls": "https://i5.walmartimages.com/seo/Apple-AirPods-4-with-Active-Noise-Cancellation_970671e7-764d-4536-9f51-666941f35ad3.012d4c1b577966703dc4b6947a77677b.jpeg",
          "availability": "In stock",
          "reviews_count": null,
          "ext": {
            "seller_id": "F55CDC31AB754BB68FE0B39041159D63",
            "catalog_id": "4W09PR7NC59E"
          }
        }
      },
      {
        "product": {
          "id": "19977723464",
          "url": "https://www.walmart.com/ip/Lenovo-Legion-5a-15-3-WQXGA-Laptop-Ryzen-7-250-1-6GB-1TB-NVIDIA-GeForce-RTX-5060-83Q70003US/19977723464?classType=REGULAR",
          "title": "Lenovo Legion 5a 15.3\" WQXGA Laptop, Ryzen 7 250, 1 6GB, 1TB, NVIDIA GeForce RTX 5060, 83Q70003US",
          "description": "Lenovo Legion 5a 15.3\" WQXGA Laptop, Ryzen 7 250, 1 6GB, 1TB, NVIDIA GeForce RTX 5060, 83Q70003US",
          "seller": "Walmart.com",
          "brand": null,
          "price": {
            "current": 1249,
            "original": 2099.99,
            "currency": "USD"
          },
          "rating": {
            "average": 4.3,
            "count": 6
          },
          "image_urls": "https://i5.walmartimages.com/seo/Lenovo-Legion-5a-15-3-WQXGA-Laptop-Ryzen-7-250-1-6GB-1TB-NVIDIA-GeForce-RTX-5060-83Q70003US_e80bebe5-54ef-493b-9279-30b80bf418c4.7f12718d5f45e24a48da9bc53d2f8f44.jpeg",
          "availability": "In stock",
          "reviews_count": null,
          "ext": {
            "seller_id": "F55CDC31AB754BB68FE0B39041159D63",
            "catalog_id": "26V6GBJCQVIW"
          }
        }
      }
    ],
    "total": null,
    "dropped": 0
  },
  "credits_used": 5,
  "credits_remaining": 9999,
  "request_id": "req_example000000",
  "cached": false,
  "pagination": {
    "next_cursor": "sc.eyJ2IjoyLCJjIjoiMiIsInAiOiJwYWdlIn0",
    "has_more": true,
    "page_size": 48
  },
  "redacted": true
}

Live sample illustrating the unified response shape. Field values reflect the record you query.

API Details

How does the Walmart Category API work?

Send a GET request with your API key and get back clean, structured JSON in our unified schema. Supported computed fields are populated when the source provides the required inputs.

Method

GET

Response

JSON

Why SocialCrawl

Why use SocialCrawl for Walmart Category data?

We handle the complexity of Walmart data extraction so you can focus on building. Unified schema, AI enrichment, and zero platform logic in your code.

Developer First

How do you scrape social media data in seconds?

The fastest social media scraping API for developers. Scrape profiles, posts, comments, and analytics from 69 platforms covering 10B+ monthly active users.

One schema, every platform

Query 69 platforms with identical response structures. Write your integration once.

Computed fields, not just scraped

When an endpoint supports these metrics and the source provides the required inputs, the normalized record includes engagement_rate, estimated_reach, content_category, and language. Ready to use.

See your data before you code

Visual Data Explorer. Paste any URL, get rich result cards, sortable tables, CSV export.

import requests

response = requests.get(
    'https://www.socialcrawl.dev/v1/tiktok/profile',
    params={'handle': 'charlidamelio'},
    headers={'x-api-key': 'sc_YOUR_API_KEY'}
)
data = response.json()
[ .JSON ]
{
  "success": true,
  "platform": "tiktok",
  "data": {
    "author": {
      "username": "charlidamelio",
      "followers": 152400000
    },
    "engagement": {
      "likes": 12400000000,
      "engagement_rate": 0.087
    },
    "metadata": {
      "language": "en",
      "content_category": "lifestyle"
    }
  }
}
+ 69 platforms
FAQ

Have a question? We got answers

Find answers to frequently asked questions about SocialCrawl's API, pricing, and capabilities.

Contact us
Where do I find a Walmart category id?
Category ids and their URLs come back in the categories array on any product detail response, so you can walk from a known product into its category. Common ids are stable, for example 3944 for Electronics.
Does the category endpoint return real prices?
Yes. Category rows carry the actual current and list price, which makes this the right endpoint for price monitoring across a product set, and the only Walmart listing endpoint that returns prices at all.
How many products come back per call?
Up to 100 per call, defaulting to 40, and you page with the standard cursor parameter. At 5 credits per call, a full 100-row page works out at 0.05 credits per product.
Why is brand empty on category results?
Walmart does not populate the brand field on category listings. When you need brand, read it from the product endpoint using the product id returned on each category row.
What if the category id does not exist?
You get an empty list and the credits are refunded automatically, so probing for valid category ids costs nothing on the misses.

Ask AI about SocialCrawl

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