Walmart scraper

ExtractHub extractors are versioned web scrapers: each one is a saved scraper for one kind of page that returns structured JSON through an API. For Walmart (walmart.com) there are 2 public extractors: Walmart - product page and Walmart - search results. Together they return fields such as itemId, name, brand, model, upc, url, price, currency and 20 more fields. Call one with your API key and a pinned extractor_id, from the REST API, the Batch API or an AI agent over MCP.

Walmart scrapers on ExtractHub

  • Walmart - product page

    walmart.com · @extracthub1/walmart-product@1 (v1.0.0)

    Walmart.com product page (/ip/...): item id, name, brand, model, UPC, current price, was price, savings, rating, reviews count, availability, seller, condition, badges, shipping and pickup messages, return policy, description, category path, images, specifications and the review summary.

    Fields: itemId , name , brand , model , upc , url , price , currency , wasPrice , savings and 14 more

    Walmart - product page scraper: fields, versions and examples →

  • Walmart - search results

    walmart.com · @extracthub1/walmart-search@1 (v1.0.0)

    Walmart.com search results page (/search?q=...): the products on the page with item id, name, link, image, price, currency, rating, reviews count, seller, availability, badge (Rollback, Best seller...) and sponsored flag, plus the result title, total results and page count.

    Fields: resultsTitle , totalResults , maxPage , products

    Walmart - search results scraper: fields, versions and examples →

How to call the Walmart scraper API

Every call needs your API key (X-API-Key) and a pinned extractor_id. This example uses @extracthub1/walmart-product@1 (Walmart - product page); open an extractor's page for its batch, Python and Node examples.

REST: realtime extract
curl -X POST "https://api.extracthub.io/api/extractor/extract" \
  -H "X-API-Key: $EXTRACTHUB_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "extractor_id": "@extracthub1/walmart-product@1",
    "target": { "url": "https://walmart.com/..." }
  }'
MCP: ask your agent (server https://api.extracthub.io/mcp), which calls the extract tool 
Use ExtractHub to extract https://walmart.com/... with @extracthub1/walmart-product@1
{
  "tool": "extract",
  "arguments": {
    "extractor_id": "@extracthub1/walmart-product@1",
    "url": "https://walmart.com/..."
  }
}

See the web scraping API reference and the web scraping MCP server setup.

Need another Walmart page type?

Build your own Walmart scraper with an AI agent and the extractor builder skill, or in ExtractHub Studio. It stays private until you release it.

Walmart scraper: frequently asked questions

Is there a ready-made Walmart scraper?

Yes. ExtractHub lists 2 public extractors for walmart.com. An extractor is a versioned web scraper for one kind of page: its owner released it as an immutable version with an output schema, and you call that version with your own API key.

What data can I scrape from Walmart?

Walmart - product page returns itemId, name, brand, model, upc, url and 18 more. Walmart - search results returns resultsTitle, totalResults, maxPage and products. Every field is listed on the extractor's page with a sample response.

How do I call the Walmart scraper API?

Send GET or POST https://api.extracthub.io/api/extractor/extract with your API key in the X-API-Key header, extractor_id=@extracthub1/walmart-product@1 and the URL of a walmart.com page as the target. For many URLs use POST https://api.extracthub.io/api/extractor/batch. AI agents call the same extractor through the extract tool of the ExtractHub MCP server at https://api.extracthub.io/mcp.

Can I build my own Walmart scraper?

Yes. Build an extractor for any Walmart page type in ExtractHub Studio, or let an AI agent such as Claude Code build, test and release it with the open-source extractor builder skill. New extractors are private until you release them.