Sephora Catalog Price & Rating Finder: MCP config, n8n workflow and API

Sephora product, review and question records with prices, variants, ingredients, stock, ratings, review statistics and Q&A across US, Canada English and Canada French.

Fastest route, in Claude Code:

claude mcp add --transport http sephora-catalog-price-and-rating-finder "https://mcp.apify.com/?tools=fetch-actor-details,dataspryva/sephora-catalog-price-and-rating-finder"

One click, signs in with Apify on first use:

Any other client, one command (writes the config for 25+ agents, including Windsurf, Zed, Cline and Goose):

npx add-mcp "https://mcp.apify.com/?tools=fetch-actor-details,dataspryva/sephora-catalog-price-and-rating-finder" --name sephora-catalog-price-and-rating-finder

Every file on this page is generated from the Actor's published schema: 51 of 51 checks pass (validated, not run)
  • MCP configs: 7 of 7 (Uses Apify's hosted MCP endpoint over HTTPS; The tools parameter lists exactly the chosen Actors as owner/name; JSON configs parse and use the client's top-level key and the same URL; Codex TOML has a [mcp_servers.<name>] table with url and bearer_token_env_var; CLI commands quote the same URL and use the streamable HTTP transport; One-click install links decode back to the same URL and carry no token; Only placeholders, no real token)
  • n8n workflow: 11 of 11 (It has a nodes array and a connections object; Every node has a name, type, typeVersion, position and parameters; Node names are unique; Every node type is a known n8n core node (or the Apify node); Every node uses a typeVersion that n8n ships; Every connection points at an existing node; At least one trigger starts the workflow; Every working node is reachable from a trigger; Apify calls use POST and a credential for the token; Actor input matches the Actor's published input schema; No token or credential value is embedded)
  • long-run workflow: 11 of 11 (It has a nodes array and a connections object; Every node has a name, type, typeVersion, position and parameters; Node names are unique; Every node type is a known n8n core node (or the Apify node); Every node uses a typeVersion that n8n ships; Every connection points at an existing node; At least one trigger starts the workflow; Every working node is reachable from a trigger; Apify calls use POST and a credential for the token; Actor input matches the Actor's published input schema; No token or credential value is embedded)
  • example input: 5 of 5 (All 1 required input field is present; Every input key exists in the published input schema; Every value has the type the schema declares; Every choice field uses one of its published options; Numbers respect the published minimum and maximum)
  • code snippets: 4 of 4 (curl calls the documented run-sync-get-dataset-items endpoint for this Actor; Python (apify-client 3.x typed Run) and JavaScript use the official apify-client call() then read the run's dataset; Multi-line shell commands continue every line with a backslash; Token read from APIFY_TOKEN, none embedded)
  • SKILL.md: 13 of 13 (SKILL.md starts with YAML front matter; name is 1-64 lowercase letters, digits and single hyphens; name matches the skill folder name; description is present, at most 1024 characters and has no angle brackets; front matter uses only spec fields; compatibility is at most 500 characters; body has instructions; field descriptions end on whole sentences; no credential values are embedded; the token is read from APIFY_TOKEN; the run command calls this Actor's run-sync endpoint; the example input is valid JSON; the example input matches the published input schema)

What the checks cover

What a run costs

Every run pays a start fee plus a price per result. On the Free plan this Actor's start fee is $0.40 (the start event, $0.10 per GB, times its default 4 GB of memory), $0.12 on Business; results cost $0.99 per 1,000 results (pay per event). Checked 2026-11-12.

Results in one runStartResultsRun total
10$0.40$0.010$0.41
100$0.40$0.10$0.50
1,000$0.40$0.99$1.39

Plus Apify platform usage for the run, which the caller pays. A smaller memory setting lowers the start fee if the Actor still finishes. Prices can change; the Store pricing tab is the source of truth.

MCP config

One URL works in every client: https://mcp.apify.com/?tools=fetch-actor-details,dataspryva/sephora-catalog-price-and-rating-finder. It exposes this Actor as a tool, plus fetch-actor-details so the agent can read the input schema before calling it. Pick your client:

Claude Code configterminal or .mcp.json

claude mcp add --transport http sephora-catalog-price-and-rating-finder "https://mcp.apify.com/?tools=fetch-actor-details,dataspryva/sephora-catalog-price-and-rating-finder"

Run the command in your project folder. Add --scope user to make it available in every project. Full Claude Code setup

Tools your agent gets

Listed by Apify's MCP server 0.21.5 for this exact URL on 2026-11-11 (a tools/list call; nothing was run).

  • fetch-actor-detailsreads the input schema
  • get-actor-runchecks a run's status
  • get-dataset-itemsreads a run's results
  • get-key-value-store-recordreads a stored record such as a file or summary
  • abort-actor-runstops a run that is still going
  • dataspryva--sephora-catalog-price-and-rating-finderruns the Actor and returns its results

n8n workflow

A manual and a daily trigger call the Actor through the HTTP Request node with your Apify token, then hand each record to the destination you pick. The Actor input sits in the request body, already filled with the example below.

Send the records to
  • Run by hand
  • Every day
  • Run Apify Actor

n8n workflowsephora-catalog-price-and-rating-finder.n8n.json

Actor on Apify
{
  "name": "Sephora Catalog Price & Rating Finder to n8n only",
  "nodes": [
    {
      "id": "110cf41a-1608-4790-ae5f-3939b7d86fff",
      "name": "Run by hand",
      "type": "n8n-nodes-base.manualTrigger",
      "typeVersion": 1,
      "position": [
        0,
        0
      ],
      "parameters": {}
    },
    {
      "id": "9d2db55a-e178-44ce-a7f5-f8c3d60ae4b7",
      "name": "Every day",
      "type": "n8n-nodes-base.scheduleTrigger",
      "typeVersion": 1.2,
      "position": [
        0,
        200
      ],
      "parameters": {
        "rule": {
          "interval": [
            {
              "triggerAtHour": 8
            }
          ]
        }
      },
      "notes": "Activate the workflow to run on this schedule."
    },
    {
      "id": "1ed687be-e19d-4ae3-aa69-9bbe9c32ae53",
      "name": "Run Apify Actor",
      "type": "n8n-nodes-base.httpRequest",
      "typeVersion": 4.2,
      "position": [
        260,
        100
      ],
      "parameters": {
        "method": "POST",
        "url": "https://api.apify.com/v2/actors/dataspryva~sephora-catalog-price-and-rating-finder/run-sync-get-dataset-items",
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth",
        "sendBody": true,
        "specifyBody": "json",
        "jsonBody": "{\n  \"mode\": \"search\",\n  \"searchQueries\": [\n    \"moisturizer\"\n  ],\n  \"market\": \"us\",\n  \"sortBy\": \"relevance\",\n  \"includeNewOnly\": false,\n  \"includeBestsellersOnly\": false,\n  \"saleOnly\": false,\n  \"includeDetails\": false,\n  \"includeImages\": false,\n  \"maxImagesPerProduct\": 3,\n  \"includeReviews\": false,\n  \"maxReviewsPerProduct\": 20,\n  \"reviewsSort\": \"mostHelpful\",\n  \"includeReviewStats\": false,\n  \"includeQuestions\": false,\n  \"maxQuestionsPerProduct\": 10,\n  \"maxItems\": 1,\n  \"maxItemsPerQuery\": 0,\n  \"onlyNewProducts\": false,\n  \"stateKey\": \"default\",\n  \"resetState\": false,\n  \"proxyConfiguration\": {\n    \"useApifyProxy\": false\n  }\n}",
        "options": {
          "timeout": 310000
        }
      },
      "notes": "Actor: dataspryva/sephora-catalog-price-and-rating-finder. Select a Header Auth credential: name Authorization, value Bearer + your Apify token. Edit the JSON body to change the input.",
      "notesInFlow": false
    },
    {
      "id": "7c167572-88e8-459e-aeac-96cf8ebeba0b",
      "name": "Setup",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        0,
        -370
      ],
      "parameters": {
        "content": "## Sephora Catalog Price & Rating Finder\n\nSource: [dataspryva/sephora-catalog-price-and-rating-finder](https://apify.com/dataspryva/sephora-catalog-price-and-rating-finder) on Apify.\n\n1. In **Run Apify Actor**, create a Header Auth credential: name `Authorization`, value `Bearer YOUR_APIFY_TOKEN` with your token.\n2. Click **Execute workflow**. Each record arrives as one n8n item.\n3. Edit the JSON body of **Run Apify Actor** to change the input.\n\nGenerated by recipeforagents.com. Validated, not executed: runs are billed to your Apify account.",
        "height": 340,
        "width": 460,
        "color": 6
      }
    }
  ],
  "connections": {
    "Run by hand": {
      "main": [
        [
          {
            "node": "Run Apify Actor",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Every day": {
      "main": [
        [
          {
            "node": "Run Apify Actor",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "pinData": {},
  "active": false,
  "settings": {
    "executionOrder": "v1"
  },
  "meta": {
    "templateCredsSetupCompleted": false
  },
  "tags": []
}

Import with Workflows, Import from file, or paste into the canvas. Credentials are not included: you select them after import.

All 7 destination variants pass the same checks at build time. Built-in nodes only, at versions n8n has shipped since 1.80: they import on n8n Cloud and older self-hosted instances without community nodes. Prefer Apify's own node? The verified community node @apify/n8n-nodes-apify runs the same Actor with OAuth sign-in on n8n Cloud.

Runs longer than 5 minutes? The synchronous endpoint answers HTTP 408 after 300 seconds. The long-run variant starts the run, checks it every minute until it ends, then reads its dataset (HTTP Request, If and Stop and Error nodes only).

Download the long-run workflow11 of 11 checks pass, not executed

Call it from code

Run the Actor from a script or your own agent framework with the Apify API. The call waits for the run to finish and returns the records. The input is the example below.

curl

API docs on Apify
curl -X POST "https://api.apify.com/v2/actors/dataspryva~sephora-catalog-price-and-rating-finder/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"mode":"search","searchQueries":["moisturizer"],"market":"us","sortBy":"relevance","includeNewOnly":false,"includeBestsellersOnly":false,"saleOnly":false,"includeDetails":false,"includeImages":false,"maxImagesPerProduct":3,"includeReviews":false,"maxReviewsPerProduct":20,"reviewsSort":"mostHelpful","includeReviewStats":false,"includeQuestions":false,"maxQuestionsPerProduct":10,"maxItems":1,"maxItemsPerQuery":0,"onlyNewProducts":false,"stateKey":"default","resetState":false,"proxyConfiguration":{"useApifyProxy":false}}'

Example input

These values come from the Actor's Store prefill and required defaults. Change the search, URL or limit before your first run.

Actor inputinput.json

{
  "mode": "search",
  "searchQueries": [
    "moisturizer"
  ],
  "market": "us",
  "sortBy": "relevance",
  "includeNewOnly": false,
  "includeBestsellersOnly": false,
  "saleOnly": false,
  "includeDetails": false,
  "includeImages": false,
  "maxImagesPerProduct": 3,
  "includeReviews": false,
  "maxReviewsPerProduct": 20,
  "reviewsSort": "mostHelpful",
  "includeReviewStats": false,
  "includeQuestions": false,
  "maxQuestionsPerProduct": 10,
  "maxItems": 1,
  "maxItemsPerQuery": 0,
  "onlyNewProducts": false,
  "stateKey": "default",
  "resetState": false,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}

FieldTypeWhat it does
mode required string (9 options) What to fetch: keyword search, category or brand browse, product URLs, bestsellers, new arrivals, sale, reviews or questions.
searchQueries array Keywords to search (mode=search). Enter one or more terms, e.g. moisturizer, vitamin c serum.
categories array Category slugs, cat... IDs or Sephora category URLs (mode=category, bestsellers, newArrivals, sale; also a filter in search). Empty browse modes use the six top-level categories.
brands array Brand names, slugs or Sephora brand URLs (mode=brand; also an optional filter in other listing modes). Example: Rare Beauty or /brand/rare-beauty-by-selena-gomez.
productUrls array Sephora product URLs or P... IDs (mode=product, reviews, questions). A ?skuId= in the URL selects that variant.
market string (3 options) Storefront and currency: United States (USD), Canada English (CAD) or Canada French (CAD).
sortBy string (6 options) Result ordering for listing modes. Bestsellers and sale default to best selling; new arrivals default to newest.
includeNewOnly boolean Only include products Sephora flags as new.
includeBestsellersOnly boolean Only include products flagged as bestsellers in listing modes. Not available in product-URL mode.
saleOnly boolean Only include products currently discounted by Sephora.
refinements array Optional Sephora facet values, e.g. filters[skinType]=drySk or filters[ingredientPreferences]=crueltyFree. Up to 20.
includeDetails boolean Fetch descriptions, ingredients, highlights, variants, stock, category path and brand information for every product in listing modes. Product-URL mode always includes details.
includeImages boolean Copy product images into the run's key-value store so the image links stay publicly accessible.
maxImagesPerProduct integer Maximum number of product images to keep and rehost for each product.
includeReviews boolean Add recent or most-helpful review samples to product records, and fetch review samples in reviews mode.
maxReviewsPerProduct integer Maximum review rows or samples per product.
reviewsSort string (5 options) Ordering for review rows and review samples.
includeReviewStats boolean Add the rating histogram, recommendation counts, review dates and GTIN/UPC/EAN identifiers.
includeQuestions boolean Add questions with their answers to product records, and fetch question rows in questions mode.
maxQuestionsPerProduct integer Maximum question rows or embedded questions per product.
maxItems integer Hard cap on all records emitted by the run.
maxItemsPerQuery integer Cap records per keyword, category, brand or product URL. 0 means no per-source cap.
onlyNewProducts boolean Skip product IDs that were already returned under the same state key in earlier runs.
stateKey string Name for the saved product-ID state used by 'Only new products'.

5 more optional fields on the Store input tab.

What your agent receives

Each run returns a list of records. The Actor publishes 24 fields, starting with productId, brandName, displayName, rating.

FieldWhat it holdsFormat
productIdProduct IDtext
brandNameBrandtext
displayNameProducttext
ratingRatingnumber
reviewsReviewsnumber
pricePricenumber
priceMinPrice minnumber
priceMaxPrice maxnumber
salePriceSale pricenumber
inStockIn stockboolean
14 more fields
FieldWhat it holdsFormat
variantsCountVariantsnumber
marketMarkettext
productUrlProduct URLlink
recordTypeTypetext
reviewIdReview IDtext
productNameProducttext
titleTitletext
authorAuthortext
submittedAtSubmittedtext
isVerifiedPurchaseVerifiedboolean
helpfulVotesHelpfulnumber
questionIdQuestion IDtext
questionQuestiontext
answersCountAnswersnumber

Agent skill

A SKILL.md in the open Agent Skills format. It teaches Claude Code, Codex and other skill-aware agents when to call this Actor, how to build the input and how to read the result, using the API directly.

SKILL.mdsephora-catalog-price-and-rating-finder/SKILL.md

---
name: sephora-catalog-price-and-rating-finder
description: "Sephora product, review and question records with prices, variants, ingredients, stock, ratings, review statistics and Q&A across US, Canada English and Canada French. Runs the Apify Actor dataspryva/sephora-catalog-price-and-rating-finder. Use when the user needs Sephora data with fields such as productId, brandName, displayName, rating, reviews, price and an Apify token is available."
compatibility: "Needs network access, curl, and an APIFY_TOKEN environment variable. Runs are billed to the token owner's Apify account."
metadata:
  actor: "dataspryva/sephora-catalog-price-and-rating-finder"
  store-url: "https://apify.com/dataspryva/sephora-catalog-price-and-rating-finder"
---

# Sephora Catalog Price & Rating Finder

Use this skill to fetch Sephora data with the Apify Actor `dataspryva/sephora-catalog-price-and-rating-finder` and work with the returned rows.

## Before running

1. Check that `APIFY_TOKEN` is set in the environment. Never print it or write it to a file.
2. Build `input.json` from the user's request using the fields below. Keep limits small for a first run.
3. Confirm the search terms or URLs with the user if the request is ambiguous.

## Input fields

| Field | Type | Meaning |
| --- | --- | --- |
| `mode` | string, required | What to fetch: keyword search, category or brand browse, product URLs, bestsellers, new arrivals, sale, reviews or questions. |
| `searchQueries` | array | Keywords to search (mode=search). Enter one or more terms, e.g. `moisturizer`, `vitamin c serum`. |
| `categories` | array | Category slugs, `cat...` IDs or Sephora category URLs (mode=category, bestsellers, newArrivals, sale; also a filter in search). Empty browse modes use the six top-level categories. |
| `brands` | array | Brand names, slugs or Sephora brand URLs (mode=brand; also an optional filter in other listing modes). Example: `Rare Beauty` or `/brand/rare-beauty-by-selena-gomez`. |
| `productUrls` | array | Sephora product URLs or `P...` IDs (mode=product, reviews, questions). A `?skuId=` in the URL selects that variant. |
| `market` | one of `us`, `ca-en`, `ca-fr` | Storefront and currency: United States (USD), Canada English (CAD) or Canada French (CAD). |
| `sortBy` | one of `relevance`, `bestSelling`, `topRated`, `priceLowToHigh`, `priceHighToLow`, `newArrivals` | Result ordering for listing modes. Bestsellers and sale default to best selling; new arrivals default to newest. |
| `includeNewOnly` | boolean | Only include products Sephora flags as new. |
| `includeBestsellersOnly` | boolean | Only include products flagged as bestsellers in listing modes. Not available in product-URL mode. |
| `saleOnly` | boolean | Only include products currently discounted by Sephora. |
| `refinements` | array | Optional Sephora facet values, e.g. `filters[skinType]=drySk` or `filters[ingredientPreferences]=crueltyFree`. Up to 20. |
| `includeDetails` | boolean | Fetch descriptions, ingredients, highlights, variants, stock, category path and brand information for every product in listing modes. Product-URL mode always includes details. |
| `includeImages` | boolean | Copy product images into the run's key-value store so the image links stay publicly accessible. |
| `maxImagesPerProduct` | integer | Maximum number of product images to keep and rehost for each product. |

Example `input.json` (the Actor's published prefill):

```json
{
  "mode": "search",
  "searchQueries": [
    "moisturizer"
  ],
  "market": "us",
  "sortBy": "relevance",
  "includeNewOnly": false,
  "includeBestsellersOnly": false,
  "saleOnly": false,
  "includeDetails": false,
  "includeImages": false,
  "maxImagesPerProduct": 3,
  "includeReviews": false,
  "maxReviewsPerProduct": 20,
  "reviewsSort": "mostHelpful",
  "includeReviewStats": false,
  "includeQuestions": false,
  "maxQuestionsPerProduct": 10,
  "maxItems": 1,
  "maxItemsPerQuery": 0,
  "onlyNewProducts": false,
  "stateKey": "default",
  "resetState": false,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

## Run

```bash
curl -sS -X POST "https://api.apify.com/v2/acts/dataspryva~sephora-catalog-price-and-rating-finder/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d @input.json > results.json
```

The call waits for the run to finish and returns the dataset items as a JSON array. If the run needs more than 300 seconds the API answers with HTTP 408; then start the run with `POST /v2/acts/dataspryva~sephora-catalog-price-and-rating-finder/runs`, poll `GET /v2/actor-runs/{runId}` until `SUCCEEDED`, and read `GET /v2/datasets/{defaultDatasetId}/items`.

## Output

Each item is one record. Published fields include: `productId`, `brandName`, `displayName`, `rating`, `reviews`, `price`, `priceMin`, `priceMax`, `salePrice`, `inStock`, `variantsCount`, `market`, `productUrl`, `recordType`, `reviewId`, `productName`, `title`, `author`, `submittedAt`, `isVerifiedPurchase`.

Summarise what was found, cite the record URLs when present, and say how many items came back. Do not invent values for empty fields.

  • Claude Code: save it as ~/.claude/skills/sephora-catalog-price-and-rating-finder/SKILL.md, or .claude/skills/sephora-catalog-price-and-rating-finder/SKILL.md in a project.
  • Codex and other agents: ~/.agents/skills/sephora-catalog-price-and-rating-finder/SKILL.md, or .agents/skills/sephora-catalog-price-and-rating-finder/ in a project.
  • Or let the skills CLI place it for your agent: npx skills add https://recipeforagents.com --skill sephora-catalog-price-and-rating-finder
  • Set APIFY_TOKEN in the agent's environment.

Troubleshooting

Why does the client say Unauthorized or invalid token?

Every Apify Actor tool needs a signed-in Apify account. Reconnect the server so the OAuth sign-in runs again, or switch to the token variant: an Authorization: Bearer header with an API token from Apify Console, Settings, API and integrations. For a local server the token must be in the server's own env block, not only in your shell.

Source: Apify MCP server README

Why did my agent's tool list change after an update?

Without a tools parameter Apify's server loads its default tool set, which changes between releases. The URLs on this site pin the tools with ?tools=, so the agent always gets the same Actor tool plus fetch-actor-details. Apify's README gives the same advice for production.

Source: Apify MCP server README

What happens when the agent sends input the Actor rejects?

The server answers with the Actor's input schema, so the agent can fix the arguments and call again. The fetch-actor-details tool in every scoped URL lets it read that schema before the first call.

Source: Apify MCP server README

Questions

How do I connect Sephora Catalog Price & Rating Finder to Claude?

In Claude Code run: claude mcp add --transport http sephora-catalog-price-and-rating-finder "https://mcp.apify.com/?tools=fetch-actor-details,dataspryva/sephora-catalog-price-and-rating-finder". In Claude Desktop or claude.ai add a custom connector with the URL https://mcp.apify.com/?tools=fetch-actor-details,dataspryva/sephora-catalog-price-and-rating-finder and sign in to Apify. The agent then gets one tool for this Actor plus a tool that reads its input schema.

What input does Sephora Catalog Price & Rating Finder need?

The published input schema requires mode. The example on this page uses the Actor's own Store prefill.

What does Sephora Catalog Price & Rating Finder cost to run?

The Apify Store lists $0.99 per 1,000 results (pay per event) for this Actor, checked 2026-11-12. Runs are billed to the Apify account whose token or sign-in the agent uses; Apify platform usage can add to that.

Which tools does the MCP config give my agent?

6 tools: fetch-actor-details, get-actor-run, get-dataset-items, get-key-value-store-record, abort-actor-run, dataspryva--sephora-catalog-price-and-rating-finder. Apify's MCP server listed them for this exact URL on 2026-11-11.