Google Immersive Product

Retrieve Google Immersive Product details through Frevana.

Purpose

This skill is for expanding a Google Shopping product result into the Google Immersive Product detail payload.

Inputs:

• page_token
• optional next_page_token

Output:

• validated response JSON with Google Immersive Product details
• the same validated JSON saved to a local file on every successful run

The page_token must come from a Google Shopping result item's immersive_product_page_token. The optional next_page_token is used only for store-offer pagination and must come from a prior Google Immersive Product response's product_results.stores_next_page_token.

This skill validates that the response is JSON, saves it to disk, and returns it unchanged on stdout. Do not rewrite or reshape the returned data unless the user explicitly asks for a transformation.

What This Skill Needs

• user-provided page_token
• optional user-provided next_page_token
• FREVANA_TOKEN in the environment variables, or an explicit --token override for the current run
• curl
• bash
• python3

Execution Order

Use this flow so the request stays simple and reliable:

1. Confirm the user has provided page_token or an equivalent immersive_product_page_token from Google Shopping results.
2. If the user gives only a product name, shopping query, product URL, or generic keyword, do not guess a token. Tell them to run the Google Shopping search skill first and choose a result with immersive_product_page_token.
3. Use next_page_token only when the user is asking for the next page of stores from a prior Google Immersive Product result. It should come from product_results.stores_next_page_token.
4. Prefer the script over ad hoc curl commands.
5. Let the script read FREVANA_TOKEN first.
6. In interactive shell usage, if FREVANA_TOKEN is missing, the script may prompt for it.
7. In non-interactive or agent workflows, fail fast if the token is missing and tell the user to set FREVANA_TOKEN or pass --token explicitly.
8. Run the script once. It prints the validated JSON to stdout and saves the same JSON to a file.
9. Use the saved JSON file for any follow-up parsing or summarization instead of calling the API again.
10. Return the validated response JSON, or summarize the product, stores, ratings, insights, and follow-up store pagination token if the user does not need the full payload.

Commands

Basic immersive product lookup

bash <skill-path>/scripts/search_google_immersive_product.sh \
  --page-token "eyJlaSI6Im5ZVmxaOX..."

--page_token and --immersive-product-page-token are accepted as aliases for --page-token.

Fetch next stores page

bash <skill-path>/scripts/search_google_immersive_product.sh \
  --page-token "eyJlaSI6Im5ZVmxaOX..." \
  --next-page-token "f69uOnica15aklmSk3pT0..."

--next_page_token is accepted as an alias for --next-page-token.

Save response JSON to a specific file

bash <skill-path>/scripts/search_google_immersive_product.sh \
  --page-token "eyJlaSI6Im5ZVmxaOX..." \
  --output ./out/google-immersive-product-result.json

Token override for the current run

bash <skill-path>/scripts/search_google_immersive_product.sh \
  --page-token "eyJlaSI6Im5ZVmxaOX..." \
  --token "your bearer token"

Fixed Request Shape

The script sends this payload shape, omitting optional fields that were not provided:

{
  "page_token": "eyJlaSI6Im5ZVmxaOX...",
  "next_page_token": "f69uOnica15aklmSk3pT0..."
}

Only page_token is required. Do not invent page_token or next_page_token values. Do not add unsupported passthrough fields such as engine, api_key, output, no_cache, async, or zero_trace.

Response Shape

The API returns Frevana JSON. Common fields include:

• search_metadata
• search_parameters
• product_results

The product_results object can include fields such as title, brand, rating, reviews, price_range, thumbnails, stores, stores_next_page_token, about_the_product, top_insights, ratings, reviews_images, and user_reviews.

Output

• Success: the script validates that the response body is JSON, writes it to a file, prints the saved path to stderr, and prints the JSON to stdout
• Default file path: ./out/google-immersive-product-<UTC timestamp>-<pid>.json
• With --output: the same JSON is written to the specified file path instead of the default path
• Failure: the script prints the response body or parsing error and exits non-zero

Notes

• Require --page-token, --page_token, or --immersive-product-page-token.
• If the user supplies only a product name or search query, recommend running the Google Shopping search skill first to get immersive_product_page_token, then continue with this skill.
• Use --next-page-token only for store pagination from a prior response's product_results.stores_next_page_token.
• The page_token is an input cursor for a specific immersive product, not a general search term.
• If curl is missing, stop and tell the user to install curl.
• If python3 is missing, stop and tell the user to install python3.
• Do not echo the Bearer token back to the user.
• Summarize the product and store offers the user actually cares about instead of dumping raw JSON unless they ask for the full payload.

Example Prompts

中文

• "用这个 immersive_product_page_token 查询 Google Immersive Product，并总结店铺报价"
• "查一下 Google Immersive Product，page_token 是 eyJlaSI6Im5ZVmxaOX..."
• "继续翻当前 Immersive Product 的 stores，next_page_token 是 f69uOnica15..."
• "我只有产品关键词，没有 page_token" -> 说明需要先用 Google Shopping search 获取 immersive_product_page_token

English

• "Use this immersive_product_page_token to fetch Google Immersive Product details."
• "Get the next store page for this Google Immersive Product result."
• "Query the Frevana google-immersive-product endpoint with this page_token and save raw JSON."
• "Search Google Immersive Product for 'LG TV'." -> Explain that a page_token is required and suggest running Google Shopping search first to obtain immersive_product_page_token.