Look up current product prices, stock, ratings, and image URLs from retailer pages through Apify. Return the results as structured fields, with retrieval time and source links, for checking a product or comparing stores.
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Fetch a real product's current price, stock, rating, or images from retailer pages over the Apify MCP server, and return them as typed fields rather than prose. Use when someone asks what a product costs right now, whether it is in stock, how it is rated, to compare a product across retailers, or to check a product URL they pasted. Also use when an agent would otherwise answer a product question from training data. Not for managing your own store's catalog, not for payments, and not for questions answerable without live retailer data.
安装前可以查看交给 AI 代理的指令内容。
A model answers product questions from training data that was fixed months ago, or by reading a page as prose with no product fields. This skill routes the question to a hosted Actor that reads retailer pages on request and returns structured records: price, currency, stock, rating, image URLs, and a link.
Written by a product marketing manager at Apify. It calls E-commerce Scraping Tool, a paid first-party Apify Actor, so weigh the framing accordingly. Everything below is what testing against the live Actor returned, including where it does not work.
The MCP endpoint is https://mcp.apify.com. Appending
?tools=apify/e-commerce-scraping-tool narrows the server to this one Actor, which makes
tool selection more reliable when product data is the only job. Authentication is OAuth on
first use for interactive clients, or a bearer token for unattended ones. An Apify account
is required and the Actor is paid, billed per run started plus per product returned.
| The question | Input to send |
|---|---|
| About a specific page the user gave you | detailsUrls: [{"url": "..."}] |
| "Find me an X under $Y" with no URL | keyword plus marketplaces |
| "Compare X across stores" | keyword plus several marketplaces |
Always send maxProductResults and additionalProperties: true. Without the second,
stock, rating, list price and identifiers are all missing, because they are nested there
rather than at the top level.
apify--e-commerce-scraping-tool (two hyphens, not a slash). It returns run
metadata and a datasetId. It does not return products.status. If it is not SUCCEEDED, call get-actor-run with the runId and
a waitSecs until it is. The Actor tool returns when its own wait window elapses, not
when the run finishes, so RUNNING is a normal answer and the dataset holds nothing at
that moment.get-dataset-items with the datasetId, a limit, and fields.Two failures live here. Stopping after step 1 returns a result that reads like success and holds no product data. Skipping step 2 fetches an empty dataset and reports the product as not found, intermittently, depending only on how fast the retailer answered.
The full record is large: one Amazon product measured about 88 KB across 142 fields, most
of it marketing content and review text. Pass fields in dot notation, naming only what
the question needs.
Projected output comes back flat. The dots stay in the key names, so it is
item["offers.price"], not item["offers"]["price"]. Walking the nested path against a
projected response finds nothing, which is indistinguishable from the retailer not
reporting the field.
The four differences that bite hardest:
offers.price is a number on some retailers and a string on others.offers.priceCurrency on some and offers.currency on others, and the value
may be a symbol or an ISO code.additionalProperties, as inStock and stars, not at the
top level. Top-level rating was null on a product whose stars was 4.2.brand frequently carries marketing text such as Visit the Sony Store rather than a
brand name.marketplaces enum arrives truncated over MCP, because the server caps how many
characters of a long enum it forwards. Measured on 2026-08-27: of 249 values, 122 fit and
127 were dropped. A validation error naming marketplaces means the retailer cannot be
named in a keyword search on this connection, not that it is unsupported. Use
detailsUrls, which takes arbitrary URLs and is unaffected.additionalProperties and two other retailers returned 4,
with stock and rating absent on every record from one of them. There is no unified schema
to rely on.maxProductResults. Prefer one call with several URLs or marketplaces
over several calls, and never re-run to check a result you already have.additionalProperties can reach roughly 100 KB for one product. Never paste it into
a reply.rating or stars of 0 means absent, not a zero-star product.还没有评价。欢迎分享你的使用感受。
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中文简介正在准备中。当前显示英语简介。
Research competitors’ live Meta and Google ads to identify opening hooks, offers, calls to action, and landing pages. Receive a sourced creative brief and up to three test ideas adapted to your product.
中文简介正在准备中。当前显示英语简介。
Add website or app tracking, then use command-line tools to review traffic, signups, drop-off, and returning users across projects. Run A/B tests, which compare alternative headlines or buttons, and inspect results to guide changes.
中文简介正在准备中。当前显示英语简介。
Establish rules for when an AI agent should recall past context and save lasting decisions, corrections, preferences, and failures. Works with Markdown files or memory services, preserving decision history and surfacing conflicting records.
中文简介正在准备中。当前显示英语简介。
Audit local AI coding-agent sessions with agenttrace to identify spending, token use, tool failures, and operational problems. Produce readable or structured reports and define pass-or-fail thresholds for automated continuous integration checks.
中文简介正在准备中。当前显示英语简介。
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中文简介正在准备中。当前显示英语简介。