crawlora-org/crawlora-skills

walmart-research

Researches Walmart products, prices, sellers, and reviews using the Crawlora API, returning clean JSON.

Vedi sorgente

Come usare

  1. Copia il comando e controlla il pacchetto prima di installarlo nel tuo ambiente agente.
  2. Controlla strumenti, credenziali e ambienti richiesti nel documento originale.
  3. Descrivi input e risultato desiderato; confronta l’output con le fonti.
npx skills add https://github.com/crawlora-org/crawlora-skills --skill walmart-research

Prima di iniziare

  • L’installazione non include abbonamenti, quote API o accesso ai file.
  • Stelle e installazioni indicano attività, non un test indipendente di qualità o sicurezza.
Documento Skill originale

Contenuto dal repository con titoli, esempi, codice, tabelle, link e immagini preservati.

Walmart research

Look up and compare Walmart products, prices, and reviews — all as normalized JSON from the Crawlora API, with no HTML scraping.

When to use this skill

  • "What does X cost on Walmart?" or "compare prices for X on Walmart."
  • "Find listings for X on Walmart" / "search Walmart for this product."
  • "Pull reviews / ratings for this Walmart product."
  • "Track this Walmart product's price / availability."
  • Competitive pricing or catalog research on Walmart.

Setup (one-time)

  • Get a free Crawlora API key (2,000 credits/mo, no card) at https://crawlora.net.
  • Set CRAWLORA_API_KEY in the environment before running the helper.
  • The helper reads CRAWLORA_API_KEY from the environment and sends requests to https://api.crawlora.net/api/v1. Missing/invalid key → 401.

How it works

  1. Search / discover — /walmart/search (q required) to find

candidate products by keyword.

  1. Detail — fetch a specific product with /walmart/product/{item_id}

(the numeric id from a Walmart /ip/{id} URL) for price, availability, brand, images, rating, seller, description, highlights, specifications, and variants.

  1. Reviews — pull the on-page reviews snapshot with

/walmart/product/{item_id}/reviews: average rating, total review count, per-star breakdown, recommended percentage, top positive/negative review, and a sample of recent reviews.

Full endpoint list, methods, and params: `reference/endpoints.md`.

Calling the API

sh
# Search Walmart (GET, key=value params):
scripts/crawlora.sh /walmart/search q="standing desk" | jq '.'

# Product detail (item_id is a path segment, not a query param):
scripts/crawlora.sh /walmart/product/414781783 | jq '.data'

# Product reviews:
scripts/crawlora.sh /walmart/product/414781783/reviews | jq '.'

Use scripts/crawlora.sh for all requests; it keeps the API key out of command-line arguments.

Endpoint reference

See `reference/endpoints.md` for every Walmart endpoint this skill uses (method, path, params, description).

Examples

  • Price check: /walmart/search for a product name, grab the item_id

of the best match, then /walmart/product/{item_id} for the current price and availability.

  • Review summary: /walmart/product/{item_id}/reviews to summarize a

product's average rating, rating breakdown, and top positive/negative reviews before recommending it.

  • Catalog sweep: paginate /walmart/search with page across a set of

queries to build a candidate list, then fetch /walmart/product/{item_id} for each to compare prices.

Notes & limits

  • Credits / pay-on-success: billed only on 2xx; free tier 2,000 credits/mo.

Key at https://crawlora.net.

  • Public data only — public Walmart product/search pages; respect Walmart's terms.
  • Security: key lives in CRAWLORA_API_KEY only — never hardcode, query-param, or commit it.
  • Search results are paginated — pass page to walk listings.
  • `item_id` is required for detail and reviews — it's the numeric id in a

Walmart /ip/{id} product URL, not the product slug.

  • Reviews are a single on-page snapshot, not a full paginated feed — a

product with no reviews returns zero counts and an empty reviews list.

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