# Faire.com Scraper - Low-costπŸ’²πŸ”₯πŸ¬πŸ›οΈ (`delectable_incubator/faire-com-scraper-low-cost`) Actor Scrape Faire product and brand data πŸ”πŸ¬ with a powerful wholesale marketplace scraper. Extract product names, brand details, images, availability, pricing, URLs, and catalog information. Ideal for wholesale sourcing, product research, e-commerce catalog management, and market intelligence πŸ“ŠπŸš€ - **URL**: https://apify.com/delectable\_incubator/faire-com-scraper-low-cost.md - **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community) - **Categories:** E-commerce, Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.00005 / actor start This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 Product Scraper

--- ## Faire Product Scraper πŸ›οΈπŸ”βœ¨ The Faire Product Scraper is a powerful and scalable Apify Actor designed to extract structured product listings directly from Faire wholesale marketplace search result pages. It enables wholesale sourcing, product discovery, brand monitoring, catalog analysis, market intelligence, e-commerce research, competitor tracking, and structured product dataset generation from one of the leading B2B wholesale marketplaces. --- ### 🎯 What This Scraper Does Simply provide one or multiple Faire search result URLs and the scraper handles everything automatically. βœ… Extracts structured Faire product listings βœ… Supports bulk target URL scraping βœ… Automatically processes search result pages βœ… Handles pagination automatically βœ… Applies maxItemsPerUrl limits βœ… Extracts product metadata and brand information βœ… Captures product URLs and images βœ… Detects new product status βœ… Detects wholesale locked products βœ… Generates clean and structured datasets βœ… Ready for analytics and sourcing workflows βœ… Export-ready output format --- ### πŸ“Š Data Extracted #### πŸ›’ Product Information | Field | Description | | --------------- | ------------------------------- | | πŸ†” productToken | Unique product identifier | | πŸ“¦ productName | Product name | | 🏒 brandName | Brand name | | πŸ”‘ brandToken | Unique brand identifier | | πŸ–ΌοΈ imageUrl | Product image URL | | πŸ†• isNew | Indicates if the product is new | | πŸ”’ isLocked | Indicates wholesale-only access | | πŸ”— productUrl | Product page URL | | 🌐 sourceUrl | Source search URL | --- ### πŸ›  How to Use #### 1️⃣ Configure Input Provide one or multiple Faire search result URLs: ```` { "targetUrls": \[ "https://www.faire.com/search?q=patches", "https://www.faire.com/search?q=candles", "https://www.faire.com/search?q=jewelry" ], "maxItemsPerUrl": 100 } ``` #### 2️⃣ Run the Actor β€’ Loads Faire search result pages β€’ Processes product listings automatically β€’ Extracts structured product information β€’ Collects brand and product metadata β€’ Applies maxItemsPerUrl limits β€’ Stops automatically when limits are reached #### 3️⃣ Export the Dataset Download your results in multiple formats: βœ… JSON βœ… CSV βœ… Excel βœ… XML βœ… HTML --- ### βš™οΈ Input Configuration #### πŸ“₯ Input Example ``` { "targetUrls": \[ "https://www.faire.com/search?q=patches", "https://www.faire.com/search?q=candles", "https://www.faire.com/search?q=jewelry" ], "maxItemsPerUrl": 100 } ``` #### Input Fields | Field | Type | Description | | -------------- | ------- | ------------------------------------------------------------- | | targetUrls | array | List of Faire search result URLs | | maxItemsPerUrl | integer | Maximum number of products to collect per URL (0 = unlimited) | --- ### πŸ“€ Output Example ``` { "productToken": "prd\_123456", "productName": "Embroidered Patch Set", "brandName": "Creative Studio", "brandToken": "br\_987654", "imageUrl": "https://cdn.faire.com/image.jpg", "isNew": true, "isLocked": false, "productUrl": "https://www.faire.com/product/embroidered-patch-set", "sourceUrl": "https://www.faire.com/search?q=patches" } ```` --- ### πŸ“Š Output Explanation | Use Case | Description | | ----------------------- | --------------------------------------- | | πŸ›οΈ Wholesale Research | Discover wholesale products at scale | | πŸ“ˆ Market Intelligence | Analyze product and brand trends | | 🏒 Brand Discovery | Identify emerging wholesale brands | | πŸ” Catalog Monitoring | Track new and locked products | | πŸ€– Automation Pipelines | Feed product data into workflows | | πŸ“¦ Product Sourcing | Build sourcing and procurement datasets | --- ### 🌍 Why Use This Scraper? πŸ›οΈ Discover wholesale products at scale πŸ“Š Monitor product and brand trends 🏒 Identify emerging wholesale brands πŸ”„ Scrape multiple search pages simultaneously ⚑ Fast and automated extraction πŸ€– Automation-ready output πŸ“¦ Bulk URL scraping support 🧠 Ideal for retailers, sourcing teams, analysts, and e-commerce businesses πŸš€ Scalable for both small and enterprise workloads --- ### ❓ FAQ #### How does this scraper work? The scraper loads Faire search result pages and extracts structured product information including product names, brand details, images, URLs, and wholesale access status. #### Can I scrape multiple searches in one run? Yes. You can provide multiple search URLs inside the targetUrls array. #### Does the scraper detect locked wholesale products? Yes. Products restricted behind wholesale access are detected using the isLocked field. #### Can I monitor new products over time? Yes. You can schedule recurring Apify runs to monitor newly added products and catalog updates. #### Is the data collected live? Yes. Data is extracted directly from Faire during every run. #### What export formats are supported? JSON, CSV, Excel, XML, and HTML. #### Can I use the extracted data commercially? Yes. The extracted data can be used for sourcing, analytics, automation, monitoring, and commercial applications. #### What happens if the scraper fails? The Actor includes retry mechanisms and automated error handling to improve reliability. #### How long does a run take? Most extractions complete within minutes depending on the number of URLs and requested results. --- ### πŸš€ How to Use 1️⃣ Sign up β€” Create a free Apify account 2️⃣ Find the tool β€” Search for "Faire Product Scraper" in the Apify Store 3️⃣ Configure URLs β€” Add one or multiple Faire search URLs 4️⃣ Run it β€” Start the Actor and wait for extraction 5️⃣ Export data β€” Download results in JSON, CSV, Excel, XML, or HTML --- ### ⚠️ Disclaimer This tool is an independent solution and is not affiliated with, endorsed by, or sponsored by Faire. --- ### πŸ’Έ Pricing This scraper runs on a **pay-per-result pricing model**. You only pay for successfully extracted records. πŸ’³ **Price:** $1.49 / 1,000 results --- ### Related Actors If you're interested in other Marketplace, E-commerce, Jobs, Leads, Social Media, or Research scraping solutions, explore more tools: (Coming soon) --- ### πŸ“¬ Support ⭐⭐⭐⭐⭐ Leave a 5-star rating if you like this tool --- ### 🌍 PrimeScrape Built for scalable web data extraction & automation. Contact us for custom scraping solutions or enterprise requests via Apify or by email. # Actor input Schema ## `target_urls` (type: `array`): List of Faire search result URLs to scrape. One URL per entry. Example: https://www.faire.com/search?q=patches ## `maxitems` (type: `integer`): Limits how many products will be scraped PER URL ## Actor input object example ```json { "target_urls": [ "https://www.faire.com/search?q=patches", "https://www.faire.com/search?q=candles" ], "maxitems": 50 } ```` # Actor output Schema ## `overview` (type: `string`): No description ## `by_brand` (type: `string`): No description ## `new_products` (type: `string`): No description ## `unlocked_products` (type: `string`): No description ## `locked_products` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "target_urls": [ "https://www.faire.com/search?q=patches", "https://www.faire.com/search?q=candles" ], "maxitems": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("delectable_incubator/faire-com-scraper-low-cost").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "target_urls": [ "https://www.faire.com/search?q=patches", "https://www.faire.com/search?q=candles", ], "maxitems": 50, } # Run the Actor and wait for it to finish run = client.actor("delectable_incubator/faire-com-scraper-low-cost").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "target_urls": [ "https://www.faire.com/search?q=patches", "https://www.faire.com/search?q=candles" ], "maxitems": 50 }' | apify call delectable_incubator/faire-com-scraper-low-cost --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=delectable_incubator/faire-com-scraper-low-cost", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Faire.com Scraper - Low-costπŸ’²πŸ”₯πŸ¬πŸ›οΈ", "description": "Scrape Faire product and brand data πŸ”πŸ¬ with a powerful wholesale marketplace scraper. Extract product names, brand details, images, availability, pricing, URLs, and catalog information. Ideal for wholesale sourcing, product research, e-commerce catalog management, and market intelligence πŸ“ŠπŸš€", "version": "0.0", "x-build-id": "jw1KTcwhqWr08n7Ec" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/delectable_incubator~faire-com-scraper-low-cost/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-delectable_incubator-faire-com-scraper-low-cost", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/delectable_incubator~faire-com-scraper-low-cost/runs": { "post": { "operationId": "runs-sync-delectable_incubator-faire-com-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/delectable_incubator~faire-com-scraper-low-cost/run-sync": { "post": { "operationId": "run-sync-delectable_incubator-faire-com-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "target_urls" ], "properties": { "target_urls": { "title": "Target URLs πŸ”—", "type": "array", "description": "List of Faire search result URLs to scrape. One URL per entry. Example: https://www.faire.com/search?q=patches", "items": { "type": "string" } }, "maxitems": { "title": "Maximum number of products to scrape per URL πŸ”’", "type": "integer", "description": "Limits how many products will be scraped PER URL", "default": 50 } } }, "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 } } } } } } } } } } ```