Walmart contains valuable data — product listings, prices, ratings, review counts, and more. Scraping this data directly means dealing with anti-bot detection, CAPTCHAs, IP rotation, and constantly breaking selectors. The Scavio API handles all of that and returns clean, structured JSON from a single POST request.
This tutorial shows you how to scrape Walmart using Go and the Scavio API. By the end, you will have a working Go script that fetches real-time Walmart data and parses the results.
Prerequisites
- Go installed on your machine
- A Scavio API key (free tier includes 500 credits/month — no credit card required)
Step 1: Install Dependencies
net/http is built into Go, so there is nothing to install.
# net/http is in Go's standard library — no installation neededStep 2: Make Your First Walmart Search
Send a POST request to the Scavio Walmart API endpoint with your query. The API returns structured JSON with product listings, prices, ratings, and more.
package main
import (
"bytes"
"encoding/json"
"fmt"
"io"
"net/http"
)
func main() {
apiKey := "your_scavio_api_key"
body, _ := json.Marshal(map[string]interface{}{
"query": query,
})
req, _ := http.NewRequest("POST", "https://api.scavio.dev/api/v1/walmart/search", bytes.NewBuffer(body))
req.Header.Set("x-api-key", apiKey)
req.Header.Set("Content-Type", "application/json")
client := &http.Client{}
resp, err := client.Do(req)
if err != nil {
panic(err)
}
defer resp.Body.Close()
result, _ := io.ReadAll(resp.Body)
var data map[string]interface{}
json.Unmarshal(result, &data)
formatted, _ := json.MarshalIndent(data, "", " ")
fmt.Println(string(formatted))
}Step 3: Example Response
The API returns structured JSON. Here is an example response for a Walmart search:
{
"search_metadata": { "status": "success" },
"products": [
{
"position": 1,
"title": "FlexiSpot E7 Standing Desk",
"product_id": "1234567890",
"price": "$349.99",
"rating": 4.5,
"reviews_count": 1823,
"fulfillment": "Free delivery",
"pickup": "Available for pickup"
}
]
}Every field is structured and typed — no HTML parsing, no CSS selectors, no regex extraction. Your Go code can access any field directly.
Step 4: Full Working Example
Here is a complete, runnable Go script that searches Walmart and prints the results:
package main
import (
"bytes"
"encoding/json"
"fmt"
"io"
"net/http"
"os"
)
// SearchWalmart queries Walmart via Scavio and returns structured results.
func SearchWalmart(query string) (map[string]interface{}, error) {
apiKey := os.Getenv("SCAVIO_API_KEY")
body, err := json.Marshal(map[string]interface{}{
"query": query,
})
if err != nil {
return nil, err
}
req, err := http.NewRequest("POST", "https://api.scavio.dev/api/v1/walmart/search", bytes.NewBuffer(body))
if err != nil {
return nil, err
}
req.Header.Set("x-api-key", apiKey)
req.Header.Set("Content-Type", "application/json")
resp, err := (&http.Client{}).Do(req)
if err != nil {
return nil, err
}
defer resp.Body.Close()
result, err := io.ReadAll(resp.Body)
if err != nil {
return nil, err
}
var data map[string]interface{}
if err := json.Unmarshal(result, &data); err != nil {
return nil, err
}
return data, nil
}
func main() {
results, err := SearchWalmart("standing desk")
if err != nil {
fmt.Fprintf(os.Stderr, "Error: %v\n", err)
os.Exit(1)
}
formatted, _ := json.MarshalIndent(results, "", " ")
fmt.Println(string(formatted))
}Why Use Scavio Instead of Scraping Walmart Directly?
- No proxy management. Direct scraping requires rotating proxies to avoid IP bans. Scavio handles all of this server-side.
- No CAPTCHA solving. Walmart aggressively blocks automated requests. Scavio returns clean data every time.
- Structured JSON output. No HTML parsing or CSS selector maintenance. Get typed, consistent data from every request.
- Multi-platform in one API. Search Google, Amazon, YouTube, and Walmart from the same API key with the same authentication pattern.
- Free tier included. 500 credits/month with no credit card required. Each search costs 1 credit.