# Webflow Certified Partners Directory Actor (`tehsnarf/webflow-certified-partners-directory`) Actor Scrapes Webflow Certified Partners browse pages and profile pages into structured partner lead records. - **URL**: https://apify.com/tehsnarf/webflow-certified-partners-directory.md - **Developed by:** [Chris Hoover](https://apify.com/tehsnarf) (community) - **Categories:** Lead generation, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## Webflow Certified Partners Directory Actor Scrapes the public Webflow Certified Partners browse pages and profile pages into structured lead records. ### What it does - Collects public partner cards from the browse directory. - Follows `See more` pagination links from listing pages. - Enriches each partner from the public Next.js profile payload. ### Use cases 1. Build a Webflow agency lead list for outreach and partnership research. 2. Track certified partner badges, budgets, and public service offerings over time. 3. Export a clean dataset of Webflow partners for sales, SEO, or market analysis. ### Input - `startUrls`: browse pages, pagination URLs, or direct profile URLs - `maxItems`: maximum partner records to emit - `maxPages`: maximum browse pages to follow from any listing page - `delaySeconds`: polite pause between requests ### Output fields | Field | Description | |---|---| | `partner_name` | Public partner or expert name | | `profile_url` | Canonical public profile URL | | `source_url` | Exact profile page URL fetched for the record | | `discovered_from_url` | Listing page or direct input URL where the profile was found | | `tier_badge` | Public tier or badge label | | `business_type` | Public business type | | `location` | City and country shown on the profile | | `budget_range` | Public project budget or starting price | | `services` | Public services or specialties | | `industries` | Public industry specialties | | `languages` | Public languages shown on the profile | | `short_description` | Profile tagline or bio summary | | `portfolio_links` | Public portfolio or case-study URLs | | `website_cta_url` | Public website or contact CTA URL | | `logo_url` | Public avatar or logo image URL | | `availability_status` | Public availability state when shown | | `last_seen_crawl_timestamp` | ISO timestamp when the record was scraped | ### Example output ```json { "partner_name": "Caleb Raney", "profile_url": "https://webflow.com/@caleb-raney", "tier_badge": "Premium Partner", "business_type": "Freelancer", "location": "San Francisco, United States", "budget_range": "$4,000 - $9,000", "services": [ "Accessibility audit & optimization", "Animation", "Branding & Strategy" ], "industries": [ "Arts & Design", "Media & Entertainment", "Software & Technology" ], "languages": ["English"], "website_cta_url": "https://www.calebraney.com" } ```` ### Pricing $8.99 per 1,000 results Example costs: - 100 results = $0.90 - 500 results = $4.50 - 1,000 results = $8.99 - 5,000 results = $44.95 ### Notes - Public HTML only, no login required. - Uses a 1 second polite pause between requests by default. - Works on listing pages and direct profile URLs. # Actor input Schema ## `startUrls` (type: `array`): Webflow directory, pagination, or profile URLs to scrape. ## `maxItems` (type: `integer`): Maximum number of partner records to emit. ## `maxPages` (type: `integer`): Maximum number of browse pages to follow from a directory page. ## `delaySeconds` (type: `number`): Polite pause between requests. ## Actor input object example ```json { "startUrls": [ { "url": "https://webflow.com/certified-partners/browse" } ], "maxItems": 100, "maxPages": 5, "delaySeconds": 1 } ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("tehsnarf/webflow-certified-partners-directory").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = {} # Run the Actor and wait for it to finish run = client.actor("tehsnarf/webflow-certified-partners-directory").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 '{}' | apify call tehsnarf/webflow-certified-partners-directory --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=tehsnarf/webflow-certified-partners-directory", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Webflow Certified Partners Directory Actor", "description": "Scrapes Webflow Certified Partners browse pages and profile pages into structured partner lead records.", "version": "0.0", "x-build-id": "prctKX8A4sWOi3jds" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/tehsnarf~webflow-certified-partners-directory/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-tehsnarf-webflow-certified-partners-directory", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/tehsnarf~webflow-certified-partners-directory/runs": { "post": { "operationId": "runs-sync-tehsnarf-webflow-certified-partners-directory", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/tehsnarf~webflow-certified-partners-directory/run-sync": { "post": { "operationId": "run-sync-tehsnarf-webflow-certified-partners-directory", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "startUrls": { "title": "Start URLs", "type": "array", "description": "Webflow directory, pagination, or profile URLs to scrape.", "default": [ { "url": "https://webflow.com/certified-partners/browse" } ], "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of partner records to emit.", "default": 100 }, "maxPages": { "title": "Max pages", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of browse pages to follow from a directory page.", "default": 5 }, "delaySeconds": { "title": "Delay between requests", "minimum": 0, "maximum": 10, "type": "number", "description": "Polite pause between requests.", "default": 1 } } }, "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 } } } } } } } } } } ```