I would like to see a return from this sample: import requests
url = “https://price-comparison1.p.rapidapi.com/43765017425/offers”
querystring = {“country”:”US”}
headers = {
“x-rapidapi-key”: “0120c8bf04msh6d5c29e42bb10bbp19620fjsne0230d695402”,
“x-rapidapi-host”: “price-comparison1.p.rapidapi.com”
}
response = requests.get(url, headers=headers, params=querystring)
print(response.json())
To ensure this code runs properly, let’s break it down step-by-step:
1. **Purpose**: The code uses the `requests` library to send a GET request to the RapidAPI endpoint `price-comparison1.p.rapidapi.com`. This request retrieves product offers based on the given product ID (`43765017425`) and the `country` parameter (`US`).
2. **Headers**: The provided API key and host are passed as HTTP headers for authentication.
3. **Response**: The response from the API is converted to JSON format and printed.
—
### Considerations Before Running:
1. **API Key**: Your `x-rapidapi-key` must be valid and active. Check RapidAPI’s dashboard to confirm that your key is still working and has sufficient quota.
2. **Endpoint**: Ensure the endpoint `https://price-comparison1.p.rapidapi.com/` is valid for the specific service and the product ID provided.
3. **Libraries**: Ensure `requests` is installed in your environment (`pip install requests`).
—
### Expected Output:
If everything is set up correctly, the API will return a JSON object. The structure of the JSON response depends on the API, but a sample output might look like this:
“`json
{
“product_id”: “43765017425”,
“country”: “US”,
“offers”: [
{
“store”: “Store Name”,
“price”: “123.45”,
“currency”: “USD”,
“url”: “https://example.com/product-page”
},
{
“store”: “Another Store”,
“price”: “120.00”,
“currency”: “USD”,
“url”: “https://example.com/another-product-page”
}
]
}
“`
—
### Troubleshooting:
– **Invalid API Key**: If the key is incorrect, you’ll receive an error message like:
“`json
{“message”: “Invalid API key”}
“`
– **Rate Limit**: If you exceed the allowed requests, you’ll see:
“`json
{“message”: “You have exceeded your rate limit”}
“`
– **Product Not Found**: If the product ID is invalid:
“`json
{“message”: “Product not found”}
“`
—
### Run the Code
Make sure you execute this code in a Python environment with internet access:
“`python
import requests
url = “https://price-comparison1.p.rapidapi.com/43765017425/offers”
querystring = {“country”: “US”}
headers = {
“x-rapidapi-key”: “0120c8bf04msh6d5c29e42bb10bbp19620fjsne0230d695402”,
“x-rapidapi-host”: “price-comparison1.p.rapidapi.com”
}
response = requests.get(url, headers=headers, params=querystring)
if response.status_code == 200:
print(response.json())
else:
print(f”Error: {response.status_code} – {response.text}”)
“`
—
### Suggestions:
**a.** Test the script to confirm you receive the expected JSON response.
**b.** Add error handling for different response status codes like `401 Unauthorized` or `429 Too Many Requests`.
this is a .js file or ?
The code snippet you provided is written in **Python**, not JavaScript.
Key indicators:
1. **`import requests`**: This is a Python library for making HTTP requests.
2. **`response = requests.get()`**: A Python-specific function for sending GET requests.
3. **`print(response.json())`**: The `print()` function and the `.json()` method are Python-specific syntax.
—
If you want this code in **JavaScript**, here’s an equivalent version using the `fetch` API or `axios`:
### Using the `fetch` API:
“`javascript
const url = “https://price-comparison1.p.rapidapi.com/43765017425/offers”;
const queryParams = new URLSearchParams({ country: “US” });
const options = {
method: “GET”,
headers: {
“x-rapidapi-key”: “0120c8bf04msh6d5c29e42bb10bbp19620fjsne0230d695402”,
“x-rapidapi-host”: “price-comparison1.p.rapidapi.com”
}
};
fetch(`${url}?${queryParams}`, options)
.then((response) => {
if (!response.ok) throw new Error(`Error: ${response.status}`);
return response.json();
})
.then((data) => console.log(data))
.catch((error) => console.error(“Error:”, error));
“`
—
### Using `axios`:
“`javascript
const axios = require(“axios”);
const url = “https://price-comparison1.p.rapidapi.com/43765017425/offers”;
const params = { country: “US” };
const headers = {
“x-rapidapi-key”: “0120c8bf04msh6d5c29e42bb10bbp19620fjsne0230d695402”,
“x-rapidapi-host”: “price-comparison1.p.rapidapi.com”
};
axios
.get(url, { headers, params })
.then((response) => console.log(response.data))
.catch((error) => console.error(“Error:”, error.message));
“`
—
### Key Notes:
1. **`fetch`** is built into modern browsers.
2. **`axios`** is a widely used third-party HTTP client for Node.js and browsers.
Let me know if you need help running this code or further clarification! 🚀
**a.** Convert this for front-end use in HTML.
**b.** Add detailed error handling for failed API calls.
This is a new day an I have fogotten much. I want to use this script to modify another script. ::import requests
url = “https://real-time-product-search.p.rapidapi.com/search-v2”
querystring = {“q”:”Sharper Image PURIFY 5 Air Cleaner”,”country”:”us”,”language”:”en”,”page”:”1″,”limit”:”10″,”sort_by”:”BEST_MATCH”,”product_condition”:”USED”}
headers = {
“x-rapidapi-key”: “0120c8bf04msh6d5c29e42bb10bbp19620fjsne0230d695402”,
“x-rapidapi-host”: “real-time-product-search.p.rapidapi.com”
}
response = requests.get(url, headers=headers, params=querystring)
print(response.json())
”’ :: The first stage is to use the UPC lookup to find the info on the item and then use the next script (above) to get the high/low/average selling price and put this info under the image in the card from this script:
[utils.py: ]
export async function fetchUPCData(upc) {
const url = “https://barcodes1.p.rapidapi.com/”;
const headers = {
“x-rapidapi-key”: “0120c8bf04msh6d5c29e42bb10bbp19620fjsne0230d695402”,
“x-rapidapi-host”: “barcodes1.p.rapidapi.com”
};
try {
const response = await fetch(`${url}?query=${upc}`, {
method: ‘GET’,
headers: headers
});
const data = await response.json();
console.log(data); // Debugging
return data;
} catch (error) {
console.error(‘Error fetching data:’, error);
return null;
}
}
export function renderProduct(product) {
const grid = document.getElementById(‘outputGrid’); // This is where the product card will be appended
if (!product) {
alert(“Product not found.”);
return;
}
// Create a new product card
const card = document.createElement(‘div’);
card.className = ‘product-card’;
const title = product.title || “Unknown Product”;
const manufacturer = product.manufacturer || “N/A”;
const price = product.online_stores?.[0]?.price || “N/A”;
const image = product.images?.[0] || “”;
[NEW LOW/HIGH/AVG prices go here]
// Set the HTML content of the card
card.innerHTML = `
${title}
Manufacturer: ${manufacturer}
UPC: ${product.attributes?.mpn || “N/A”}
Price: ${price}
`;
// If the product has images, create an image gallery inside the card
if (product.images) {
const gallery = document.createElement(‘div’);
gallery.className = ‘image-gallery’;
product.images.forEach(imgUrl => {
const img = document.createElement(‘img’);
img.src = imgUrl;
gallery.appendChild(img);
});
card.appendChild(gallery);
}
// Append the new card to the grid without removing the existing ones
grid.appendChild(card);
}
payload = {
“keywords”: “iPhone”,
“excluded_keywords”: “locked cracked case box read LCD”,
“max_search_results”: “240”,
“category_id”: “9355”,
“remove_outliers”: “true”,
“site_id”: “0”,
“aspects”: [
{
“name”: “Model”,
“value”: “Apple iPhone X”
},
{
“name”: “LH_ItemCondition”,
“value”: “3000”
},
{
“name”: “Network”,
“value”: “Unlocked”
},
{
“name”: “Storage Capacity”,
“value”: “64 GB”
}
]
}
headers = {
“x-rapidapi-key”: “0120c8bf04msh6d5c29e42bb10bbp19620fjsne0230d695402”,
“x-rapidapi-host”: “ebay-average-selling-price.p.rapidapi.com”,
“Content-Type”: “application/json”
}
response = requests.post(url, json=payload, headers=headers)
print(response.json())
”’
HEre is the index.js ::
import { fetchUPCData, renderProduct } from ‘./utils.js’;
let currentIndex = 0;
let upcs = [];
// Load UPC file and read its content
// Process and display the next UPC
function showNextUPC() {
if (currentIndex {
renderProduct(data?.product);
currentIndex++;
}).catch(error => {
console.error(“Error processing UPC:”, error);
alert(“An error occurred. Check the console for details.”);
});
} else {
alert(“No more UPCs to process.”);
}
}
// Create hidden input for file upload
// Trigger file loading when the “Load UPC File” button is clicked
document.getElementById(‘loadFileButton’).addEventListener(‘click’, () => {
if (upcs.length === 0) {
// Load the UPCs from upcs.txt only on the first click
fetch(‘./upcs.txt’)
.then(response => {
if (!response.ok) {
throw new Error(`Failed to load file: ${response.statusText}`);
}
return response.text();
})
.then(content => {
upcs = content.split(“n”).map(upc => upc.trim()).filter(upc => upc);
if (upcs.length > 0) {
currentIndex = 0; // Start from the first UPC
showNextUPC(); // Automatically show the first item
} else {
alert(“No valid UPCs found in the file.”);
}
})
.catch(error => {
console.error(“Error loading file:”, error);
alert(“An error occurred while loading the file. Check the console for details.”);
});
} else {
// If UPCs are already loaded, start from the current index
showNextUPC();
}
});
document.getElementById(‘nextButton’).addEventListener(‘click’, () => {
showNextUPC(); // Process the next UPC in the list
});
::
And here is the index.html::
const outputDiv = document.getElementById(‘outputDiv’); // Correct: Matches HTML
UPC Lookup
Us the same hardcoded upcs.txt file. If you have ANY questions please ask. Present completed code with robust error handling code.
Before you present the code, double check that all functions are completed/scripts are complete.
Here’s the full implementation of your request where I will integrate **UPC lookup**, fetch **
I stopped you because I was not finished. from thbe UPC lookup script you must take the product title and use it in the real-time lookup script. Then format ALL data from the real-time lookup script, one for each card.
Thank you for clarifying! Let’s break this task into manageable steps before I write the full, complete code:
—
### **Plan**
1. **Fetch UPC Data**:
– Use `fetchUPCData()` to fetch data for each UPC.
– Extract the product title from the fetched data.
2. **Real-Time Product Search**:
– Use the extracted product title to query the **real-time product search API**.
– Fetch high/low/average prices and other product offers.
3. **Render Product Cards**:
– Combine data from both APIs.
– Render the card with:
– **Product Title** (from UPC lookup).
– **Manufacturer**.
– **Images**.
– **High/Low/Average Prices** from real-time lookup.
4. **Enhancements**:
– Add error handling for API failures.
– Format product cards cleanly.
– Display all offers for a product in a single card.
5. **Integrate with HTML**:
– Load `upcs.txt`.
– Create cards dynamically for each UPC.
– Allow navigation with **Load File** and **Next** buttons.
—
### **Final Code Implementation**
#### **utils.js**
Handles API interactions and rendering product cards.
“`javascript
// utils.js
const UPC_API_URL = “https://barcodes1.p.rapidapi.com/”;
const SEARCH_API_URL = “https://real-time-product-search.p.rapidapi.com/search-v2”;
const HEADERS = {
“x-rapidapi-key”: “0120c8bf04msh6d5c29e42bb10bbp19620fjsne0230d695402”,
};
// Fetch product data by UPC
export async function fetchUPCData(upc) {
try {
const response = await fetch(`${UPC_API_URL}?query=${upc}`, {
method: ‘GET’,
headers: {
…HEADERS,
“x-rapidapi-host”: “barcodes1.p.rapidapi.com”,
},
});
if (!response.ok) throw new Error(`UPC lookup failed: ${response.statusText}`);
const data = await response.json();
return data?.product || null;
} catch (error) {
console.error(“Error fetching UPC data:”, error);
return null;
}
}
// Fetch real-time product offers by title
export async function fetchProductOffers(title) {
try {
const querystring = new URLSearchParams({
q: title,
country: “us”,
language: “en”,
page: “1”,
limit: “10”,
sort_by: “BEST_MATCH”,
product_condition: “USED”,
}).toString();
const response = await fetch(`${SEARCH_API_URL}?${querystring}`, {
method: ‘GET’,
headers: {
…HEADERS,
“x-rapidapi-host”: “real-time-product-search.p.rapidapi.com”,
},
});
if (!response.ok) throw new Error(`Product search failed: ${response.statusText}`);
const data = await response.json();
return data?.offers || [];
} catch (error) {
console.error(“Error fetching product offers:”, error);
return [];
}
}
// Render product card with combined data
export function renderProductCard(upcData, offers) {
const grid = document.getElementById(‘outputGrid’);
if (!upcData) {
alert(“Product not found.”);
return;
}
const title = upcData.title || “Unknown Product”;
const manufacturer = upcData.manufacturer || “N/A”;
const image = upcData.images?.[0] || “”;
const highPrice = Math.max(…offers.map(offer => offer.price || 0)) || “N/A”;
const lowPrice = Math.min(…offers.map(offer => offer.price || 0)) || “N/A”;
const avgPrice = offers.length
? (offers.reduce((sum, offer) => sum + (offer.price || 0), 0) / offers.length).toFixed(2)
: “N/A”;
const card = document.createElement(‘div’);
card.className = ‘product-card’;
// Create HTML content for the card
card.innerHTML = `
${title}
Manufacturer: ${manufacturer}
UPC: ${upcData.attributes?.mpn || “N/A”}
High Price: ${highPrice}
Low Price: ${lowPrice}
Average Price: ${avgPrice}
`;
if (image) {
const img = document.createElement(‘img’);
img.src = image;
img.alt = title;
card.appendChild(img);
}
// Append to grid
grid.appendChild(card);
}
“`
—
#### **index.js**
Coordinates UPC file loading, API calls, and rendering.
“`javascript
import { fetchUPCData, fetchProductOffers, renderProductCard } from ‘./utils.js’;
let currentIndex = 0;
let upcs = [];
// Process and display the next UPC
async function showNextUPC() {
if (currentIndex {
if (upcs.length === 0) {
try {
const response = await fetch(‘./upcs.txt’);
if (!response.ok) throw new Error(`Failed to load file: ${response.statusText}`);
const content = await response.text();
upcs = content.split(“n”).map(upc => upc.trim()).filter(upc => upc);
if (upcs.length > 0) {
currentIndex = 0;
showNextUPC(); // Automatically show the first item
} else {
alert(“No valid UPCs found in the file.”);
}
} catch (error) {
console.error(“Error loading file:”, error);
alert(“An error occurred while loading the file. Check the console for details.”);
}
} else {
showNextUPC();
}
});
// Handle “Next” button
document.getElementById(‘nextButton’).addEventListener(‘click’, showNextUPC);
“`
—
#### **index.html**
Basic structure and buttons for interaction.
“`html
UPC Lookup
“`
—
### Key Features:
1. **Error Handling**: Catches API and file errors, logs them to the console, and displays user-friendly alerts.
2. **Dynamic Rendering**: Combines UPC lookup and real-time search results to display a comprehensive product card.
3. **High/Low/Average Prices**: Calculates and displays these values from the offers fetched.
Let me know if you need any enhancements or additional features! 🚀
I just found that I can run the scripts directly within vscode!! However, I am getting no data for prices: Beurer Pulse Oximeter | CVS
Manufacturer: Bed Bath & Beyond
UPC: PO60
High Price: -Infinity
Low Price: Infinity
Average Price: N/A
Beurer Pulse Oximeter | CVS
The issue stems from the **prices** in the fetched offers array being unavailable or undefined, resulting in `-Infinity`, `Infinity`, and `N/A` being displayed. Let’s fix this by handling cases where the `price` field is missing or malformed in the offers data.
—
### **Steps to Fix the Issue**
1. **Validate `offers` Data**:
– Ensure `offers` is not empty.
– Handle cases where `price` is `undefined`, `null`, or invalid.
2. **Default Values**:
– If no valid prices exist, display “N/A” for high, low, and average prices.
3. **Debugging**:
– Log the `offers` array to check its structure and ensure `price` is accessible.
4. **Code Update**:
– Add checks to filter and process only valid prices.
—
### Updated `renderProductCard` Function
“`javascript
export function renderProductCard(upcData, offers) {
const grid = document.getElementById(‘outputGrid’);
if (!upcData) {
alert(“Product not found.”);
return;
}
const title = upcData.title || “Unknown Product”;
const manufacturer = upcData.manufacturer || “N/A”;
const image = upcData.images?.[0] || “”;
// Filter valid prices from offers
const validPrices = offers
.map(offer => offer.price) // Extract price
.filter(price => typeof price === ‘number’ && price > 0); // Ensure it’s valid
// Calculate high, low, and average prices
const highPrice = validPrices.length ? Math.max(…validPrices).toFixed(2) : “N/A”;
const lowPrice = validPrices.length ? Math.min(…validPrices).toFixed(2) : “N/A”;
const avgPrice = validPrices.length
? (validPrices.reduce((sum, price) => sum + price, 0) / validPrices.length).toFixed(2)
: “N/A”;
const card = document.createElement(‘div’);
card.className = ‘product-card’;
// Create HTML content for the card
card.innerHTML = `
${title}
Manufacturer: ${manufacturer}
UPC: ${upcData.attributes?.mpn || “N/A”}
High Price: ${highPrice}
Low Price: ${lowPrice}
Average Price: ${avgPrice}
`;
if (image) {
const img = document.createElement(‘img’);
img.src = image;
img.alt = title;
card.appendChild(img);
}
// Append to grid
grid.appendChild(card);
}
“`
—
### Debugging Step for Offers
Before processing the prices, add the following debug statement to inspect the `offers` array and ensure the `price` field is being returned by the API.
“`javascript
console.log(“Offers Data:”, offers);
“`
This will help confirm:
1. Whether `offers` is populated.
2. The structure of each object in `offers`.
3. The `price` field’s availability and format.
—
### Error Scenarios and Fixes
– **Empty `offers`**:
– If the product has no offers, return “N/A” for prices.
– **Invalid `price` Format**:
– Filter out non-numeric or zero values to avoid `Infinity` calculations.
—
### Suggestions
**a.** Run the script in VSCode and share the output of `console.log(“Offers Data:”, offers);`.
**b.** Confirm the API response contains a valid `price` field for this product or test with another product.
here is the tree. see if the script properly copies the right node;; we need to get to this point: {
“status”: “OK”,
“request_id”: “4df1f35b-381d-49bc-bd88-9043dfc5e4ed”,
“data”: {
“products”: [
{
“product_id”: “1126223276603990767”,
“product_title”: “Nike Kid’s Dunk Low”,
“product_description”: “!”,
“product_photos”: [],
“product_attributes”: {},
“product_rating”: 4.6,
“product_page_url”: “https://google.com/shopping/product/1126223276603990767?gl=us&hl=en”,
“product_offers_page_url”: “https://google.com/shopping/product/1126223276603990767/offers?gl=us&hl=en”,
“product_specs_page_url”: “https://google.com/shopping/product/1126223276603990767/specs?gl=us&hl=en”,
“product_reviews_page_url”: “https://google.com/shopping/product/1126223276603990767/reviews?gl=us&hl=en”,
“product_page_url_v2”: “https://www.google.com/search?ibp=oshop&q=sori:0&gl=us&hl=en”,
“product_num_reviews”: 2833,
“product_num_offers”: “73”,
“typical_price_range”: [
“$68”,
“$90”
To ensure your script navigates correctly through the API response tree and extracts the relevant node, let’s focus on isolating the **products** array and extracting the data for each product, particularly the desired fields like `product_title`, `product_rating`, `typical_price_range`, and others.
—
### Expected Outcome
We want to:
1. Traverse the JSON response.
2. Locate the **`products`** array inside `data`.
3. Extract and format fields like:
– `product_title`
– `typical_price_range`
– `product_rating`
– `product_num_reviews`
– URLs (`product_page_url`, `product_offers_page_url`, etc.)
—
### Code Implementation
Here’s how you can achieve this in **JavaScript**:
#### Updated `fetchProductOffers` Function
“`javascript
export async function fetchProductOffers(title) {
try {
const querystring = new URLSearchParams({
q: title,
country: “us”,
language: “en”,
page: “1”,
limit: “10”,
sort_by: “BEST_MATCH”,
product_condition: “USED”,
}).toString();
const response = await fetch(`${SEARCH_API_URL}?${querystring}`, {
method: ‘GET’,
headers: {
…HEADERS,
“x-rapidapi-host”: “real-time-product-search.p.rapidapi.com”,
},
});
if (!response.ok) throw new Error(`Product search failed: ${response.statusText}`);
const data = await response.json();
// Validate and extract the products node
const products = data?.data?.products || [];
if (!products.length) {
console.warn(“No products found in the response.”);
return [];
}
// Extract relevant fields for each product
const extractedProducts = products.map(product => ({
title: product.product_title || “Unknown”,
description: product.product_description || “N/A”,
priceRange: product.typical_price_range || [“N/A”, “N/A”],
rating: product.product_rating || “N/A”,
numReviews: product.product_num_reviews || 0,
productUrl: product.product_page_url || “#”,
offersUrl: product.product_offers_page_url || “#”,
}));
return extractedProducts;
} catch (error) {
console.error(“Error fetching product offers:”, error);
return [];
}
}
“`
—
### Render Product Cards with Extracted Data
Update the `renderProductCard` function to handle these new fields.
“`javascript
export function renderProductCard(upcData, products) {
const grid = document.getElementById(‘outputGrid’);
if (!upcData) {
alert(“Product not found.”);
return;
}
const title = upcData.title || “Unknown Product”;
const manufacturer = upcData.manufacturer || “N/A”;
const image = upcData.images?.[0] || “”;
// Create a card for each product from the real-time API
products.forEach(product => {
const card = document.createElement(‘div’);
card.className = ‘product-card’;
card.innerHTML = `
${product.title}
Description: ${product.description}
Price Range: ${product.priceRange.join(” – “)}
Rating: ${product.rating}
Number of Reviews: ${product.numReviews}
if (image) {
const img = document.createElement(‘img’);
img.src = image;
img.alt = title;
card.appendChild(img);
}
// Append the card to the grid
grid.appendChild(card);
});
}
“`
—
### Debugging and Testing
To ensure the correct node is being copied:
1. Add debugging logs:
“`javascript
console.log(“API Response Data:”, data);
console.log(“Extracted Products:”, extractedProducts);
“`
This will allow you to inspect the structure and content of the `products` node.
2. Test with multiple product titles and inspect the generated cards to confirm data accuracy.
—
### Example Output in HTML
If the API call succeeds, you should see a card like this in your UI:
“`html
Nike Kid’s Dunk Low
Description: !
Price Range: $68 – $90
Rating: 4.6
Number of Reviews: 2833
“`
—
### Next Steps
**a.** Test the script with a variety of product titles to ensure it handles all valid and invalid cases.
**b.** If data for specific fields is still missing, inspect the API response and adjust the `map` function to include fallback values.
How do we identify the right node to get the info from?
To identify the correct node in an API response, follow these steps:
—
### **1. Inspect the API Response Structure**
The goal is to locate where the relevant data resides within the JSON object returned by the API. Use tools like:
– **Browser Developer Tools**: If running in a browser, `console.log(response)` or `console.log(await response.json())` will show the entire structure in the console.
– **JSON Viewer**: Use a JSON formatter or viewer to visualize deeply nested structures (e.g., https://jsonformatter.org/).
– **VSCode Debugger**: Place breakpoints and inspect the response object.
—
### **2. Look for the Data Key**
In the example API response you provided:
“`json
{
“status”: “OK”,
“request_id”: “4df1f35b-381d-49bc-bd88-9043dfc5e4ed”,
“data”: {
“products”: [
{
“product_id”: “1126223276603990767”,
“product_title”: “Nike Kid’s Dunk Low”,
“product_description”: “!”,
“product_photos”: [],
“product_attributes”: {},
“product_rating”: 4.6,
“product_page_url”: “https://google.com/shopping/product/1126223276603990767?gl=us&hl=en”,
“product_offers_page_url”: “https://google.com/shopping/product/1126223276603990767/offers?gl=us&hl=en”,
“typical_price_range”: [
“$68”,
“$90”
]
}
]
}
}
“`
The relevant data resides under:
“`json
data.products
“`
Here:
– **`data`**: The key containing all results.
– **`products`**: An array holding individual product objects.
### **3. Identify Node by Characteristics**
To extract the right node, you can inspect attributes of each node within `data.products`. For example:
– **Product title** (`product_title`).
– **Rating** (`product_rating`).
– **Typical price range** (`typical_price_range`).
—
### **4. Write Code to Extract the Node**
Use the following logic:
1. Navigate to `data.products`.
2. Iterate over `products` to identify nodes based on specific attributes.
3. Extract the desired fields.
### Example Code to Identify the Right Node
Here’s how you can identify and extract the right node:
#### **JavaScript Example**
“`javascript
fetch(“API_ENDPOINT”, {
method: “GET”,
headers: {
“x-rapidapi-key”: “API_KEY”,
“x-rapidapi-host”: “API_HOST”
}
})
.then(response => response.json())
.then(data => {
console.log(“Full Response:”, data);
// Navigate to the products array
const products = data?.data?.products || [];
if (!products.length) {
console.error(“No products found.”);
return;
}
// Identify the node by attributes
const targetProduct = products.find(product =>
product.product_title.includes(“Nike”)
);
if (targetProduct) {
console.log(“Target Product:”, targetProduct);
// Extract desired data
const productTitle = targetProduct.product_title;
const priceRange = targetProduct.typical_price_range.join(” – “);
const rating = targetProduct.product_rating;
console.log(`Title: ${productTitle}`);
console.log(`Price Range: ${priceRange}`);
console.log(`Rating: ${rating}`);
} else {
console.error(“No matching product found.”);
}
})
.catch(error => console.error(“Error fetching data:”, error));
“`
—
### **5. Key Points for Identification**
– Use **`console.log`** to inspect the response tree at each level.
– **Filter Nodes**: Use attributes like `product_title` or `product_id` to match a specific product.
– **Error Handling**: Always account for cases where the desired node doesn’t exist.
### **6. Testing**
Test with various API responses to ensure:
– The script navigates to the right node.
– It extracts data correctly, even when fields are missing.
—
### **Next Steps**
**a.** Debug your response object in the browser console or VSCode to identify any missing fields or discrepancies.
**b.** Use the `find` function with more sophisticated conditions if multiple products match your query.
import requests
url = “https://real-time-product-search.p.rapidapi.com/search-v2”
querystring = {“q”:”Beurer Pulse Oximeter | CVS”,”country”:”us”,”language”:”en”,”page”:”1″,”limit”:”10″,”sort_by”:”BEST_MATCH”,”product_condition”:”ANY”}
headers = {
“x-rapidapi-key”: “0120c8bf04msh6d5c29e42bb10bbp19620fjsne0230d695402”,
“x-rapidapi-host”: “real-time-product-search.p.rapidapi.com”
}
response = requests.get(url, headers=headers, params=querystring)
print(response.json()) :: JUST USE THIS SCRIPT to test. Include an indput box and send button. Print out ALL data recieved in the json response, using the node names as names?
Here’s a Python script using Flask to create a simple web app with an input box and a “Send” button. The script takes input from the user (product query), sends it to the API, and prints the entire JSON response with its node names formatted in a readable way.
—
### Full Script
#### **Install Requirements**
Make sure Flask is installed:
“`bash
pip install flask
“`
#### **Script: `app.py`**
“`python
from flask import Flask, request, render_template, jsonify
import requests
app = Flask(__name__)
# API endpoint and headers
API_URL = “https://real-time-product-search.p.rapidapi.com/search-v2”
HEADERS = {
“x-rapidapi-key”: “0120c8bf04msh6d5c29e42bb10bbp19620fjsne0230d695402”,
“x-rapidapi-host”: “real-time-product-search.p.rapidapi.com”
}
@app.route(“/”, methods=[“GET”, “POST”])
def index():
if request.method == “POST”:
# Get user input from form
query = request.form.get(“query”)
if not query:
return render_template(“index.html”, error=”Please enter a search query.”)
# API call
querystring = {
“q”: query,
“country”: “us”,
“language”: “en”,
“page”: “1”,
“limit”: “10”,
“sort_by”: “BEST_MATCH”,
“product_condition”: “ANY”
}
try:
response = requests.get(API_URL, headers=HEADERS, params=querystring)
response.raise_for_status() # Raise HTTPError for bad responses
json_data = response.json() # Parse JSON response
# Format JSON for display
formatted_data = format_json(json_data)
return render_template(“index.html”, data=formatted_data)
except requests.exceptions.RequestException as e:
return render_template(“index.html”, error=f”Error fetching data: {e}”)
return render_template(“index.html”)
def format_json(data, indent=0):
“””
Recursively formats JSON data into readable HTML with node names.
“””
if isinstance(data, dict):
formatted = “”
for key, value in data.items():
formatted += f”
”
return formatted
elif isinstance(data, list):
formatted = “”
for index, item in enumerate(data):
formatted += f”
”
return formatted
else:
return f”{data}”
if __name__ == “__main__”:
app.run(debug=True)
“`
—
#### **HTML Template: `templates/index.html`**
Create a `templates` directory and save this file as `index.html`:
“`html
body {
font-family: Arial, sans-serif;
margin: 20px;
}
.error {
color: red;
margin-top: 10px;
}
.response {
margin-top: 20px;
white-space: pre-wrap;
font-family: monospace;
}
Real-Time Product Search
{% if error %}
{{ error }}
{% endif %}
{% if data %}
Response Data:
{{ data | safe }}
{% endif %}
“`
—
### **How It Works**
1. **Home Page**:
– Displays an input box for entering a product query.
– Has a “Send” button to submit the query.
2. **API Call**:
– Sends the query to the RapidAPI endpoint.
– Fetches the JSON response.
3. **Display**:
– Recursively formats the JSON response.
– Displays all nodes and their values in a readable hierarchy.
—
### **Run the App**
Run the script in your terminal:
“`bash
python app.py
“`
Then, open your browser and go to `http://127.0.0.1:5000`.
—
### **Test Example**
– **Input**: `Beurer Pulse Oximeter | CVS`
– **Output**: Displays all the JSON response data, with node names and values.
—
Let me know if you need help with modifications or deployment! 🚀
doesn’t run
If the script doesn’t run, let’s troubleshoot and fix it step by step. Here’s how to ensure the Flask app runs correctly:
—
### **1. Verify Flask Installation**
Run this command to check if Flask is installed:
“`bash
pip show flask
“`
If Flask is not installed, install it:
“`bash
pip install flask
“`
—
### **2. Check Python Version**
Ensure you’re using Python 3.6 or higher, as Flask and modern libraries require it:
“`bash
python –version
“`
If you’re using an older version of Python, update it.
—
### **3. Check Error Messages**
When you run `python app.py`, if it doesn’t run, note the error message. Common issues include:
– **Missing Module**: Ensure all required modules (`flask`, `requests`) are installed:
“`bash
pip install flask requests
“`
– **Template Not Found**: Ensure the `index.html` file is in the correct folder structure:
“`
project/
├── app.py
├── templates/
│ └── index.html
“`
—
### **4. Flask Debugging**
Add debug print statements to pinpoint the issue. Modify the `app.py` file to include this in the main route:
“`python
@app.route(“/”, methods=[“GET”, “POST”])
def index():
print(“Rendering index page…”) # Debug
if request.method == “POST”:
print(“POST request received”) # Debug
query = request.form.get(“query”)
print(f”Query: {query}”) # Debug
…
“`
—
### **5. Common Issues and Fixes**
#### **Issue 1: App Doesn’t Start**
Error:
“`plaintext
flask.cli.NoAppException: Could not import “app”.
“`
**Fix**:
Ensure the script is named `app.py` and not another name. Flask looks for `app.py` by default. If you want to use a different file name, set the `FLASK_APP` environment variable:
“`bash
export FLASK_APP=your_script_name.py
flask run
“`
#### **Issue 2: Template Not Found**
Error:
“`plaintext
jinja2.exceptions.TemplateNotFound: index.html
“`
**Fix**:
Ensure the `index.html` file is in a folder named `templates`, and the structure matches this:
“`
project/
├── app.py
├── templates/
│ └── index.html
“`
#### **Issue 3: JSON Response Not Showing**
Error: No data or incorrect formatting in the output.
**Fix**:
Inspect the API response by adding a debug log:
“`python
print(“API Response:”, json_data)
“`
—
### **Test Again**
Once the fixes are applied:
1. Run the Flask app:
“`bash
python app.py
“`
2. Open your browser and navigate to `http://127.0.0.1:5000`.
3. Enter a query like `Beurer Pulse Oximeter | CVS` and submit.
—
### If It Still Fails
If you’re still having issues, please share the error message or the specific problem you’re encountering so I can guide you further!