# CRAFT Scraper (`jupri/craft-scraper`) Actor πŸ’« Scrape Craft.co - **URL**: https://apify.com/jupri/craft-scraper.md - **Developed by:** [cat](https://apify.com/jupri) (community) - **Categories:** Other - **Stats:** 52 total users, 1 monthly users, 100.0% runs succeeded, 3 bookmarks - **User rating**: No ratings yet ## Pricing $30.00/month + usage To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors ## 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 ## Welcome to Craft.co Scraper ![dont be sad readme is here](https://raw.githubusercontent.com/JupriGH/resources/main/cats/catframe.png) ### About Craft.co Craft.co is a supplier intelligence company helping organizations accelerate data-informed business decisions. Craft.co unique, proprietary data platform enables supply chain and procurement professionals to discover, evaluate, and monitor suppliers and create stronger supply chain resilience by tracking thousands of real-time signals across millions of companies globally. ### About This Actor Scrape company data from https://craft.co ### Tutorial ***Example #1: Basic Company Information*** ```yaml { "query": "apify google microsoft" } ```` ***Example #2: Additional Information*** ```yaml { "query" : "apify google microsoft", "includes.acquisitions" : true, "includes.company_culture" : true, "includes.competitors" : true, "includes.executives" : true, "includes.expenses_breakdowns" : true, "includes.human_capital" : true, "includes.job_hiring" : true, "includes.locations" : true, "includes.operating_metrics" : true, "includes.revenue_breakdowns" : true, "includes.salaries" : true, "includes.similar_companies" : true, "includes.technologies" : true } ``` ***Example #1: Search for Company*** ```yaml { "query" : "adobe", "search_mode" : true, "limit" : 10 } ``` ### Output Example **Basic Information :** ```yaml { "description": "Apify is a web scraping and automation platform. It offers data extraction and web automation solutions for e-commerce, retail, healthcare and pharma, telecommunications, fintech, logistics, and other industries.", "foundedYear": "2015", "headQuarters": [ { "address": "Vodičkova 704/36, NovΓ© MΔ›sto", "city": null, "countryCode": "CZ", "countryName": "Czech Republic", "hq": true, "latitude": 50.0814607, "longitude": 14.4252148, "state": "HlavnΓ­ mΔ›sto Praha" } ], "headline": "Apify is a web scraping and automation platform.", "humanCapital": { "data": null, "ethnicity": null, "gender": null, "roles": null, "sources": null }, "id": "1863684", "last1AnnualIncomeStatementsWithRevenue": [], "latestEmployeeNumber": { "date": "2022-09-01", "employeeGrowth": 0, "employeeNumber": 89, "id": "9168352a932fa66a9b76017514e45d3d0443f96a" }, "links": { "careersPage": "https://apify.com/jobs#open-positions", "crunchbase": "https://www.crunchbase.com/organization/apify", "facebook": "https://www.facebook.com/apifytech", "homepage": "https://apify.com", "instagram": "https://www.instagram.com/apifytech", "linkedin": "https://www.linkedin.com/company/apifytech", "twitter": "http://twitter.com/apify", "youtube": "https://www.youtube.com/apify" }, "logo": { "url": "https://uploads5.craft.co/uploads/company/logo/18636xx/1863684/normal_d10db39139b5f45c.JPEG" }, "name": "Apify", "parentCompany": null, "ratings": { "numberOfRatings": 25, "overallRating": 5 }, "slug": "apify", "status": "active", "sustainabilityRating": null, "tags": [ { "name": "Technology", "slug": "technology" }, { "name": "automation", "slug": "automation" }, { "name": "platform", "slug": "platform" } ], "type": "private" } ``` *`... almost there ...`* ![enter image description here](https://i.pinimg.com/originals/de/16/90/de1690bebdb81cb08dd0c26af736ed1c.jpg) # Actor input Schema ## `query` (type: `string`): πŸ’‘ Company slug(s) separated by spaces, or keywords to search in search\_mode=true ## `search_mode` (type: `boolean`): No description ## `limit` (type: `integer`): πŸ’‘ Limit number of results. (default = 5) ## `tags` (type: `string`): πŸ’‘ Sector Tags separated by comma ## `size_min` (type: `integer`): No description ## `size_max` (type: `integer`): No description ## `types` (type: `array`): No description ## `includes.locations` (type: `boolean`): No description ## `includes.executives` (type: `boolean`): No description ## `includes.operating_metrics` (type: `boolean`): No description ## `includes.acquisitions` (type: `boolean`): No description ## `includes.revenue_breakdowns` (type: `boolean`): No description ## `includes.expenses_breakdowns` (type: `boolean`): No description ## `includes.human_capital` (type: `boolean`): No description ## `includes.job_hiring` (type: `boolean`): No description ## `includes.salaries` (type: `boolean`): No description ## `includes.competitors` (type: `boolean`): No description ## `includes.technologies` (type: `boolean`): No description ## `includes.company_culture` (type: `boolean`): No description ## `includes.similar_companies` (type: `boolean`): No description ## `dev_proxy_config` (type: `object`): Supported protocol:

HTTP(S), SOCKS5
{http|socks5}://{user:pass}@{hostname|ip-address}:port

\ScrapeOps.IO
scrapeops://{api-key}

Example: socks5://example.com:9000 ## `dev_custom_headers` (type: `array`): πŸ’‘ Additional HTTP Headers ## `dev_custom_cookies` (type: `array`): πŸ’‘ Additional HTTP Cookies ## `dev_no_strip` (type: `boolean`): πŸ’‘ Keep/Save empty values (NULL, FALSE, empty ARRAY, empty OBJECT, empty STRING) ## `dev_transform_enable` (type: `boolean`): No description ## `dev_transform_fields` (type: `array`): No description ## `dev_dataset_enable` (type: `boolean`): No description ## `dev_dataset_clear` (type: `boolean`): Clear Dataset before insert/update. ## `dev_dataset_name` (type: `string`): πŸ’‘ Use mask to customize dataset name

{ACTOR} = actor name
{DATE} = date (YYYYMMDD)
{TIME} = time (HHMMSS)

This masks can be used to autogenerate Dataset Name.

example: data-{DATE}
Depending on today date the dataset name will be: data-20230603

default: data-{ACTOR}-{DATE}-{TIME} ## Actor input object example ```json { "query": "google apple microsoft apify", "limit": 5 } ``` # 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 = { "query": "google apple microsoft apify" }; // Run the Actor and wait for it to finish const run = await client.actor("jupri/craft-scraper").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/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "query": "google apple microsoft apify" } # Run the Actor and wait for it to finish run = client.actor("jupri/craft-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "query": "google apple microsoft apify" }' | apify call jupri/craft-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jupri/craft-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "CRAFT Scraper", "description": "πŸ’« Scrape Craft.co", "version": "0.1", "x-build-id": "Q2zsX5UU2MOk3ZO8I" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jupri~craft-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jupri-craft-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/jupri~craft-scraper/runs": { "post": { "operationId": "runs-sync-jupri-craft-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/jupri~craft-scraper/run-sync": { "post": { "operationId": "run-sync-jupri-craft-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": { "query": { "title": "❓ Query", "type": "string", "description": "πŸ’‘ Company slug(s) separated by spaces, or keywords to search in search_mode=true" }, "search_mode": { "title": "Enable Search Mode", "type": "boolean", "description": "" }, "limit": { "title": "Limit", "type": "integer", "description": "πŸ’‘ Limit number of results. (default = 5)", "default": 5 }, "tags": { "title": "Sectors (Tags)", "type": "string", "description": "πŸ’‘ Sector Tags separated by comma" }, "size_min": { "title": "Employee Count", "type": "integer", "description": "" }, "size_max": { "title": "", "type": "integer", "description": "" }, "types": { "title": "Type of Company", "type": "array", "description": "", "items": { "type": "string", "enum": [ "private", "public", "subsidiary", "investor" ], "enumTitles": [ "Private", "Public", "Subsidiary", "Investor" ] } }, "includes.locations": { "title": "Office Locations", "type": "boolean", "description": "" }, "includes.executives": { "title": "Key People/Management", "type": "boolean", "description": "" }, "includes.operating_metrics": { "title": "Operating Metrics", "type": "boolean", "description": "" }, "includes.acquisitions": { "title": "Acquisitions / Subsidiaries", "type": "boolean", "description": "" }, "includes.revenue_breakdowns": { "title": "Revenue Breakdowns", "type": "boolean", "description": "" }, "includes.expenses_breakdowns": { "title": "Expenses Breakdowns", "type": "boolean", "description": "" }, "includes.human_capital": { "title": "Human Capital", "type": "boolean", "description": "" }, "includes.job_hiring": { "title": "Job Hiring Categories", "type": "boolean", "description": "" }, "includes.salaries": { "title": "Median Salaries", "type": "boolean", "description": "" }, "includes.competitors": { "title": "Competitors", "type": "boolean", "description": "" }, "includes.technologies": { "title": "Technology Stacks", "type": "boolean", "description": "" }, "includes.company_culture": { "title": "Company Culture", "type": "boolean", "description": "" }, "includes.similar_companies": { "title": "Similar Companies", "type": "boolean", "description": "" }, "dev_proxy_config": { "title": "🌐 PROXY NETWORKING", "type": "object", "description": "Supported protocol:

HTTP(S), SOCKS5
{http|socks5}://{user:pass}@{hostname|ip-address}:port

ScrapeOps.IO
scrapeops://{api-key}

Example: socks5://example.com:9000" }, "dev_custom_headers": { "title": "πŸ“œ HTTP HEADERS", "type": "array", "description": "πŸ’‘ Additional HTTP Headers", "items": { "type": "object", "required": [ "key", "value" ], "properties": { "key": { "type": "string", "title": "Key" }, "value": { "type": "string", "title": "Value" } } } }, "dev_custom_cookies": { "title": "🍰 HTTP COOKIES", "type": "array", "description": "πŸ’‘ Additional HTTP Cookies", "items": { "type": "object", "required": [ "key", "value" ], "properties": { "key": { "type": "string", "title": "Key" }, "value": { "type": "string", "title": "Value" } } } }, "dev_no_strip": { "title": "Disable data cleansing", "type": "boolean", "description": "πŸ’‘ Keep/Save empty values (NULL, FALSE, empty ARRAY, empty OBJECT, empty STRING)" }, "dev_transform_enable": { "title": "Enable Custom Fields", "type": "boolean", "description": "" }, "dev_transform_fields": { "title": "Fields List", "type": "array", "description": "", "items": { "type": "object", "required": [ "key", "value" ], "properties": { "key": { "type": "string", "title": "Key" }, "value": { "type": "string", "title": "Value" } } } }, "dev_dataset_enable": { "title": "Enable Custom Storage", "type": "boolean", "description": "" }, "dev_dataset_clear": { "title": "Clear Storage", "type": "boolean", "description": "Clear Dataset before insert/update." }, "dev_dataset_name": { "title": "Dataset Name", "type": "string", "description": "πŸ’‘ Use mask to customize dataset name

{ACTOR} = actor name
{DATE} = date (YYYYMMDD)
{TIME} = time (HHMMSS)

This masks can be used to autogenerate Dataset Name.

example: data-{DATE}
Depending on today date the dataset name will be: data-20230603

default: data-{ACTOR}-{DATE}-{TIME}" } } }, "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 } } } } } } } } } } ```