# Faire Scraper - Wholesale Brands, Supplier Leads & Products (`scrapesage/faire-scraper`) Actor Scrape Faire wholesale brands as B2B supplier leads — location, owner, order minimums, lead time, brand values, reviews & product catalog. Filter by category, country & values; monitor mode. - **URL**: https://apify.com/scrapesage/faire-scraper.md - **Developed by:** [Scrape Sage](https://apify.com/scrapesage) (community) - **Categories:** Lead generation, E-commerce, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 brand / supplier lead scrapeds This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Faire Scraper — Wholesale Brands, Supplier Leads & Products Turn [Faire](https://www.faire.com) — the largest online **wholesale marketplace** — into a clean, structured feed of **brand / supplier leads**. For every brand this actor returns the fields that matter for B2B: **location (city/state/country), owner first name, years on Faire, Instagram handle, primary category, active product count, order minimums, lead time, brand values (women-owned, eco-friendly, handmade, organic, gives-back, small-batch), full review ratings, and a 0–100 lead score** — plus optional wholesale **product** records (retail price, case-pack size, GTIN, sales-insight badges, images). No login, no cookies, no browser — fast JSON extraction with high reliability on residential proxies. ### Why this Faire scraper? Most Faire scrapers return a thin product row — a name, a price, an image — and nothing you can act on. This actor is built for **lead generation and sourcing**: it treats each brand as a **wholesale supplier lead** and ships the richest record in the category. | Data | Typical scrapers | This actor | |---|---|---| | Brand name + description | ✅ | ✅ | | Based-in city / state, ships-from & made-in country | ❌ | ✅ | | Owner first name + years on Faire | ❌ | ✅ | | Instagram handle (contact vector) | ❌ | ✅ | | Order minimums (first order + reorder) | partial | ✅ | | Lead / production time (days) | ❌ | ✅ | | Brand values (women-owned, eco, handmade, organic, gives-back, small-batch) | ❌ | ✅ filterable | | Review rating + count + quality/fulfillment/communication breakdown | ❌ | ✅ | | Active product count + new-product signal | ❌ | ✅ | | Lead score (0–100) | ❌ | ✅ | | Wholesale product detail (retail price, case pack, GTIN, badges) | partial | ✅ opt-in | | Monitor mode (only new / changed brands) | ❌ | ✅ | ### Use cases - **B2B lead generation** — Faire brands are small businesses actively selling wholesale. Filter by category, country, state, or values (e.g. all **women-owned** home-decor brands in the US) and reach them via their Instagram, name, and location. Score them by `leadScore`, `activeProductsCount`, and `numReviews`. - **Wholesale sourcing & assortment research** — build category shortlists with order minimums, lead times, and review quality so buyers can source faster. - **Retail & DTC market intelligence** — track which brands are growing (`activeProductsCount`, `hasNewProducts`), how they price at retail, and which carry bestseller/"top reordered" signals. - **Competitor & category monitoring** — schedule recurring runs and use monitor mode to capture only newly listed brands or brands whose catalog / minimums changed. - **Sales prospecting for suppliers-to-brands** — packaging, logistics, marketing, and SaaS vendors can prospect thousands of active wholesale brands with firmographics attached. ### How to use 1. [Sign up for Apify](https://console.apify.com/sign-up) — the free plan is enough to try this actor. 2. Open the **Faire Scraper**, enter categories (or search queries, brand values, or URLs), and click **Start**. 3. Watch brand leads stream into the dataset table. 4. **Export** as JSON, CSV, Excel, or XML — or pull results programmatically via the [Apify API](https://docs.apify.com/api/v2). ### Input ```json { "categories": ["home-decor", "jewelry"], "brandValues": ["women-owned"], "country": "United States", "minProducts": 10, "maxResults": 200, "monitorMode": false } ```` - **searchQueries** — keywords to browse on Faire (e.g. `candles`, `ceramic mugs`). Each collects the matching brands. - **categories** — Faire category names or slugs (`home-decor`, `jewelry`, `kitchen-and-dining`, `beauty-and-wellness`, `food-and-drink`, `pets`, …), or a full category path pasted from a Faire URL. - **brandValues** — keep only brands with these values: `women-owned`, `eco-friendly`, `hand-made`, `organic`, `gives-back`, `small-batch`, `not-sold-on-amazon`. With a single category + single value it is also used as a Faire facet. - **startUrls** — any Faire URLs: brand pages (`/brand/…`), product pages (`/product/…`), category or search pages. Auto-detected. - **brandUrls / brandTokens** — enrich specific brands directly (full URLs, slugs, or `b_…` tokens). - **productUrls** — scrape specific Faire products (`/product/…` or `p_…` tokens) as product records. - **scrapeAllBrands** — discover brands at scale from Faire's brand sitemaps, then apply the filters below. - **country / state / minProducts / keyword** — client-side filters over discovered brands. - **maxResults** *(default 100)* — cap on brand records; `0` = no limit (explicit opt-in; use with a run timeout). - **monitorMode** *(default false)* — output only brands that are new or whose catalog / minimums changed since the last run. Works alongside [Apify Schedules](https://docs.apify.com/platform/schedules). ### Output One record per brand (`type: "brand"`) — a ready-to-use supplier lead — plus optional product records (`type: "product"`): ```json { "type": "brand", "brandToken": "b_8ed70fdd", "slug": "riflepaperco", "name": "Rifle Paper Co.", "description": "Rifle Paper Co. is a stationery, home, and gifts brand based in Winter Park, Florida…", "brandUrl": "https://www.faire.com/brand/riflepaperco", "city": "Winter Park", "state": "FL", "shipsFromCountry": "United States", "madeIn": "United States", "ownerFirstName": "Anna", "creationYear": 2009, "yearsOnFaire": 3, "instagramHandle": "riflepaperco", "instagramUrl": "https://www.instagram.com/riflepaperco", "primaryCategory": "Paper & Novelty", "activeProductsCount": 1318, "hasNewProducts": true, "minimumOrderUsd": 500, "firstOrderMinimumUsd": 500, "reorderMinimumUsd": 150, "leadTimeDays": 3, "brandValues": ["Women-owned"], "womenOwned": true, "averageRating": 4.8, "numReviews": 166, "ratingProductQuality": 4.9, "ratingFulfillment": 5.0, "ratingCommunication": 4.9, "profileImage": "https://cdn.faire.com/fastly/…jpeg", "leadScore": 92, "scrapedAt": "2026-07-02T04:01:17.033Z" } ``` ### Automate & schedule Run this actor on autopilot and pull results into your own stack: - **[Apify API](https://docs.apify.com/api/v2)** — start runs, fetch datasets, and manage schedules over REST. - **[apify-client for JavaScript](https://docs.apify.com/api/client/js/)** and **[apify-client for Python](https://docs.apify.com/api/client/python/)** — official SDKs. - **[Schedules](https://docs.apify.com/platform/schedules)** — run it daily/weekly with monitor mode to capture only new wholesale brands in a category; perfect for lead pipelines. - **[Webhooks](https://docs.apify.com/platform/integrations/webhooks)** — trigger downstream actions (CRM import, Slack alert, email sequence) the moment a run finishes. ```js import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: 'MY_APIFY_TOKEN' }); const run = await client.actor('scrapesage/faire-scraper').call({ categories: ['home-decor'], brandValues: ['women-owned'], country: 'United States', maxResults: 200, }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); console.log(`Got ${items.length} Faire brand leads`); ``` ### Integrate with any app Connect the dataset to 5,000+ apps — no code required: - **[Make](https://docs.apify.com/platform/integrations/make)** — multi-step automation scenarios. - **[Zapier](https://docs.apify.com/platform/integrations/zapier)** — push new brand leads straight into your CRM. - **[Slack](https://docs.apify.com/platform/integrations/slack)** — get notified when a monitored category adds a new brand. - **[Google Drive / Sheets](https://docs.apify.com/platform/integrations/drive)** — auto-export every run to a spreadsheet. - **[Airbyte](https://docs.apify.com/platform/integrations/airbyte)** — pipe results into your data warehouse. - **[GitHub](https://docs.apify.com/platform/integrations/github)** — trigger runs from commits or releases. ### Use with AI assistants (MCP) The output is clean, LLM-ready JSON. You can call this actor from Claude, ChatGPT, or any agent framework through the **[Apify MCP server](https://docs.apify.com/platform/integrations/mcp)** — ask your assistant to "find women-owned home-decor wholesale brands in the US with 4.5★+ reviews and export their leads" and let it run this scraper for you. ### Agent-ready: autonomous payments (x402 & Skyfire) This actor is **agent-ready** — AI agents can discover it, run it, and **pay for it autonomously**, with no Apify account and no human in the loop. It uses [pay-per-event](https://docs.apify.com/platform/actors/publishing/monetize/pay-per-event) pricing and [limited permissions](https://docs.apify.com/platform/actors/development/permissions), so it qualifies for Apify's agentic-payment standards: - **[x402](https://docs.apify.com/platform/integrations/x402)** — an open, HTTP-native payment protocol. Agents pay per run in USDC on the Base network directly through the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp) — no account, no API key. - **[Skyfire](https://docs.apify.com/platform/integrations/skyfire)** — agent-to-service payments for fully autonomous AI-agent workflows. Building an AI agent, MCP tool, or autonomous data pipeline? This scraper is ready to plug in and pay as it goes. ### More scrapers from scrapesage Build a complete **wholesale sourcing & B2B lead-gen stack**: - **[Alibaba.com Scraper](https://apify.com/scrapesage/alibaba-scraper)** — global wholesale products and supplier leads. - **[Made-in-China Scraper](https://apify.com/scrapesage/made-in-china-scraper)** — manufacturers, products, and B2B supplier leads. - **[IndiaMART Scraper](https://apify.com/scrapesage/indiamart-scraper)** — India's #1 B2B marketplace: suppliers, products, and phone leads. - **[Kompass Scraper](https://apify.com/scrapesage/kompass-scraper)** — global B2B company and supplier directory. - **[ImportYeti Scraper](https://apify.com/scrapesage/importyeti-scraper)** — US import records, suppliers, and B2B leads. - **[Shopify Store Scraper](https://apify.com/scrapesage/shopify-store-scraper)** — products, variants, prices, and leads from any Shopify DTC brand. - **[LinkedIn Company Scraper](https://apify.com/scrapesage/linkedin-company-scraper)** — firmographics and B2B leads. - **[Website Contact Scraper](https://apify.com/scrapesage/website-contact-scraper)** — emails, phones, and socials from any website or domain list. ### Tips - **Filter smart**: combine `categories` with `brandValues`, `country`, `state`, and `minProducts` to build a tightly targeted supplier list (e.g. US women-owned food-and-drink brands with 10+ products). - **Scale up**: turn on `scrapeAllBrands` with a high `maxResults` and filters to harvest a large, filtered brand list from Faire's sitemaps. - **Recurring monitoring**: combine [Schedules](https://docs.apify.com/platform/schedules) with `monitorMode` to capture only brands added or changed since the last run. - **Proxies**: keep the default **Residential (US)** proxy; Faire occasionally Cloudflare-challenges datacenter IPs. ### FAQ **How do I get wholesale brand leads for a specific category?** Put the Faire category name/slug in `categories` (e.g. `home-decor`, `jewelry`) and optionally add `brandValues`, `country`, or `state` filters. Each brand comes out as a complete supplier lead. **Does it need the Faire API or a login?** No. This actor reads Faire's public brand and product data — no API key, no account, no browser. **Can I export to Google Sheets, CSV, or Excel?** Yes — one click in the dataset view, or automatically on every run via the [Google Drive integration](https://docs.apify.com/platform/integrations/drive). **How do I get only new brands over time?** Turn on `monitorMode` and create a [Schedule](https://docs.apify.com/platform/schedules); the actor stores what it has seen and outputs only new or changed brands. **Why is a brand's website or email null?** Faire deliberately hides brands' external websites and direct contact to keep transactions on-platform. The reliable contact vector is the **Instagram handle** (returned for essentially every brand) plus the brand name, owner first name, and city/state. **Why is the wholesale price not shown?** Faire only reveals wholesale (trade) pricing to logged-in approved retailers. Product records include the **retail (MSRP) price**, case-pack size, and GTIN, which are public. **Is scraping Faire legal?** This actor collects publicly available data only. You are responsible for using the data in compliance with applicable laws (GDPR/CCPA for personal data) and Faire's terms. ### Need help? Open an issue on the actor's **Issues** tab, or visit the [Apify help center](https://help.apify.com/). Feature requests are welcome — this actor is actively maintained. # Actor input Schema ## `searchQueries` (type: `array`): Keywords to browse on Faire (e.g. "candles", "ceramic mugs", "baby clothing"). Each becomes a Faire search whose brands are collected. Combine with filters below. ## `categories` (type: `array`): Faire category names to browse (use Faire's exact names) — e.g. "Home Decor", "Jewelry", "Beauty & Wellness", "Food & Drink", "Kitchen", "Women", "Kids & Baby", "Pets", "Stationery", "Bath & Body". Slugs like "home-decor" are auto-title-cased. Or paste a full /category/… or /suppliers/… path. ## `brandValues` (type: `array`): Filter to brands with these values. Allowed: women-owned, eco-friendly, hand-made, organic, gives-back, small-batch, not-sold-on-amazon. When browsing a single category with one value, it is also used as a Faire facet. ## `startUrls` (type: `array`): Any Faire URLs — brand pages (/brand/…), product pages (/product/…), category or search pages. Each is auto-detected and scraped. ## `brandUrls` (type: `array`): Specific Faire brands to enrich, as full URLs (https://www.faire.com/brand/…) or bare slugs/tokens. ## `brandTokens` (type: `array`): Faire brand tokens (e.g. b\_9i29vt7r7q) to enrich directly. ## `productUrls` (type: `array`): Specific Faire product URLs (or p\_… tokens) to scrape as product records — name, retail (MSRP) price, case-pack size, GTIN, sales-insight badges and images. ## `scrapeAllBrands` (type: `boolean`): Browse Faire's entire brand catalog (10,000+ brands), then apply the filters below. Use with Max results + filters to harvest a large, filtered supplier list. ## `enrichBrandProfile` (type: `boolean`): Fetch each brand's full profile (owner first name, Instagram, city/state, description, creation year, reorder minimum, review breakdown) — one extra request per brand. Turn OFF for faster/larger sweeps that only need the search-tile fields (name, MOQ, country, lead time, products, reviews, values). ## `country` (type: `string`): Keep only brands whose ships-from, made-in, or based-in matches this (e.g. "United States", "US", "United Kingdom"). ## `state` (type: `string`): Keep only brands based in this state/region (e.g. "CA", "New York"). ## `minProducts` (type: `integer`): Keep only brands with at least this many active products. ## `keyword` (type: `string`): Keep only brands whose name, description, or category contains this text. ## `maxResults` (type: `integer`): Maximum number of brand records to return. Set to 0 for no limit (explicit opt-in; use with a run timeout). ## `monitorMode` (type: `boolean`): Track brands across runs in a key-value store and output only brands that are new or whose catalog/MOQ changed. Works alongside Apify Schedules. ## `monitorStoreName` (type: `string`): Named key-value store for monitor-mode state (lowercase letters, digits, hyphens). ## `proxyConfiguration` (type: `object`): Faire is reliably reachable on Apify Residential (the default). Datacenter is occasionally Cloudflare-challenged, so residential is recommended. ## Actor input object example ```json { "searchQueries": [ "candles" ], "categories": [ "Home Decor" ], "scrapeAllBrands": false, "enrichBrandProfile": true, "minProducts": 0, "maxResults": 100, "monitorMode": false, "monitorStoreName": "faire-scraper-monitor", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } } ``` # Actor output Schema ## `results` (type: `string`): All scraped brand (supplier lead) and product records as JSON items in the default dataset. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "searchQueries": [ "candles" ], "categories": [ "Home Decor" ] }; // Run the Actor and wait for it to finish const run = await client.actor("scrapesage/faire-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "searchQueries": ["candles"], "categories": ["Home Decor"], } # Run the Actor and wait for it to finish run = client.actor("scrapesage/faire-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "searchQueries": [ "candles" ], "categories": [ "Home Decor" ] }' | apify call scrapesage/faire-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapesage/faire-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Faire Scraper - Wholesale Brands, Supplier Leads & Products", "description": "Scrape Faire wholesale brands as B2B supplier leads — location, owner, order minimums, lead time, brand values, reviews & product catalog. Filter by category, country & values; monitor mode.", "version": "0.1", "x-build-id": "rmdzi7Kqlxf26sBzn" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapesage~faire-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapesage-faire-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapesage~faire-scraper/runs": { "post": { "operationId": "runs-sync-scrapesage-faire-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapesage~faire-scraper/run-sync": { "post": { "operationId": "run-sync-scrapesage-faire-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "searchQueries": { "title": "Search queries", "type": "array", "description": "Keywords to browse on Faire (e.g. \"candles\", \"ceramic mugs\", \"baby clothing\"). Each becomes a Faire search whose brands are collected. Combine with filters below.", "items": { "type": "string" } }, "categories": { "title": "Categories", "type": "array", "description": "Faire category names to browse (use Faire's exact names) — e.g. \"Home Decor\", \"Jewelry\", \"Beauty & Wellness\", \"Food & Drink\", \"Kitchen\", \"Women\", \"Kids & Baby\", \"Pets\", \"Stationery\", \"Bath & Body\". Slugs like \"home-decor\" are auto-title-cased. Or paste a full /category/… or /suppliers/… path.", "items": { "type": "string" } }, "brandValues": { "title": "Brand values (facet + filter)", "type": "array", "description": "Filter to brands with these values. Allowed: women-owned, eco-friendly, hand-made, organic, gives-back, small-batch, not-sold-on-amazon. When browsing a single category with one value, it is also used as a Faire facet.", "items": { "type": "string" } }, "startUrls": { "title": "Start URLs", "type": "array", "description": "Any Faire URLs — brand pages (/brand/…), product pages (/product/…), category or search pages. Each is auto-detected and scraped.", "items": { "type": "string" } }, "brandUrls": { "title": "Brand URLs or slugs", "type": "array", "description": "Specific Faire brands to enrich, as full URLs (https://www.faire.com/brand/…) or bare slugs/tokens.", "items": { "type": "string" } }, "brandTokens": { "title": "Brand tokens", "type": "array", "description": "Faire brand tokens (e.g. b_9i29vt7r7q) to enrich directly.", "items": { "type": "string" } }, "productUrls": { "title": "Product URLs", "type": "array", "description": "Specific Faire product URLs (or p_… tokens) to scrape as product records — name, retail (MSRP) price, case-pack size, GTIN, sales-insight badges and images.", "items": { "type": "string" } }, "scrapeAllBrands": { "title": "Scrape all brands", "type": "boolean", "description": "Browse Faire's entire brand catalog (10,000+ brands), then apply the filters below. Use with Max results + filters to harvest a large, filtered supplier list.", "default": false }, "enrichBrandProfile": { "title": "Enrich full brand profile", "type": "boolean", "description": "Fetch each brand's full profile (owner first name, Instagram, city/state, description, creation year, reorder minimum, review breakdown) — one extra request per brand. Turn OFF for faster/larger sweeps that only need the search-tile fields (name, MOQ, country, lead time, products, reviews, values).", "default": true }, "country": { "title": "Filter: ships-from / made-in country", "type": "string", "description": "Keep only brands whose ships-from, made-in, or based-in matches this (e.g. \"United States\", \"US\", \"United Kingdom\")." }, "state": { "title": "Filter: state/region", "type": "string", "description": "Keep only brands based in this state/region (e.g. \"CA\", \"New York\")." }, "minProducts": { "title": "Filter: minimum active products", "minimum": 0, "type": "integer", "description": "Keep only brands with at least this many active products.", "default": 0 }, "keyword": { "title": "Filter: keyword match", "type": "string", "description": "Keep only brands whose name, description, or category contains this text." }, "maxResults": { "title": "Max results (brands)", "minimum": 0, "type": "integer", "description": "Maximum number of brand records to return. Set to 0 for no limit (explicit opt-in; use with a run timeout).", "default": 100 }, "monitorMode": { "title": "Monitor mode (only new / changed)", "type": "boolean", "description": "Track brands across runs in a key-value store and output only brands that are new or whose catalog/MOQ changed. Works alongside Apify Schedules.", "default": false }, "monitorStoreName": { "title": "Monitor store name", "type": "string", "description": "Named key-value store for monitor-mode state (lowercase letters, digits, hyphens).", "default": "faire-scraper-monitor" }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Faire is reliably reachable on Apify Residential (the default). Datacenter is occasionally Cloudflare-challenged, so residential is recommended.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```