# Shopify Gangster (`fipper_ai/go-getter`) Actor - **URL**: https://apify.com/fipper\_ai/go-getter.md - **Developed by:** [Josh Baker](https://apify.com/fipper_ai) (community) - **Categories:** AI, Automation, E-commerce - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN 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 ## SaaS Pricing Intelligence Scraper Extract pricing pages, plans, prices, features, screenshots, and pricing changes from public SaaS websites. This Actor is built for competitive intelligence, agencies, founders, product marketers, pricing researchers, and sales teams that need to monitor how SaaS companies package and price their products. ### What it does - Opens SaaS pricing pages with Playwright - Discovers pricing pages from homepages when enabled - Extracts pricing plan names - Extracts prices, currencies, and billing periods - Extracts visible feature lists - Saves full-page screenshots - Detects pricing-page changes between runs - Pushes structured pricing records to the Apify Dataset ### Why this is different Most scrapers pull generic page data. This Actor focuses on one commercial use case: pricing intelligence. Useful outputs include: - plan names - monthly/yearly prices - free/pro/business/enterprise tier detection - feature bullets - screenshots for human review - content hashes for change monitoring - `changed` flags for recurring checks ### Input Use `INPUT_SCHEMA.json`. Start with either: - direct pricing page URLs - SaaS homepages with pricing discovery enabled Example: ```json { "start_urls": [ { "url": "https://example.com/pricing" } ], "discover_pricing_pages": true, "max_pages": 50, "max_depth": 2, "capture_screenshots": true, "detect_changes": true } ```` ### Output Each pricing page record can include: - `url` - `final_url` - `title` - `description` - `plan_count` - `plans` - `plans[].name` - `plans[].price.raw` - `plans[].price.amount` - `plans[].price.currency` - `plans[].price.period` - `plans[].features` - `content_hash` - `previous_content_hash` - `changed` - `screenshot_key` The final Dataset item is a summary with crawl totals. ### Recommended pricing For Apify monetization: - keep `apify-actor-start` - keep `apify-default-dataset-item` - charge per extracted pricing page/result ### Responsible use Use this Actor only for public pages you are allowed to monitor. It does not bypass CAPTCHA, paywalls, logins, or access controls. # Actor input Schema ## `start_urls` (type: `array`): SaaS pricing, plans, or billing page URLs to inspect. ## `discover_pricing_pages` (type: `boolean`): If a homepage is provided, follow likely pricing links. ## `max_pages` (type: `integer`): Hard limit for pages inspected. ## `max_depth` (type: `integer`): How many internal link levels to follow for pricing-page discovery. ## `wait_ms` (type: `integer`): Extra wait before extracting page data. ## `capture_screenshots` (type: `boolean`): Save full-page screenshots to Key-value Store. ## `detect_changes` (type: `boolean`): Compare extracted pricing data against previous runs. ## `snapshot_store_name` (type: `string`): Key-value Store used to remember previous pricing data. ## `currency_hint` (type: `string`): Optional fallback currency label when symbols are missing. ## Actor input object example ```json { "start_urls": [ { "url": "https://example.com/pricing" } ], "discover_pricing_pages": true, "max_pages": 50, "max_depth": 2, "wait_ms": 1000, "capture_screenshots": true, "detect_changes": true, "snapshot_store_name": "saas-pricing-intel-snapshots", "currency_hint": "" } ``` # 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 = { "start_urls": [ { "url": "https://example.com/pricing" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("fipper_ai/go-getter").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/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "start_urls": [{ "url": "https://example.com/pricing" }] } # Run the Actor and wait for it to finish run = client.actor("fipper_ai/go-getter").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "start_urls": [ { "url": "https://example.com/pricing" } ] }' | apify call fipper_ai/go-getter --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=fipper_ai/go-getter", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Shopify Gangster", "version": "0.0", "x-build-id": "XrUj3cryRbLyT11E2" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/fipper_ai~go-getter/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-fipper_ai-go-getter", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/fipper_ai~go-getter/runs": { "post": { "operationId": "runs-sync-fipper_ai-go-getter", "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/fipper_ai~go-getter/run-sync": { "post": { "operationId": "run-sync-fipper_ai-go-getter", "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": [ "start_urls" ], "properties": { "start_urls": { "title": "Pricing page URLs", "type": "array", "description": "SaaS pricing, plans, or billing page URLs to inspect.", "items": { "type": "object", "properties": { "url": { "title": "URL", "type": "string", "description": "Public SaaS pricing page URL.", "editor": "textfield", "pattern": "^https?://.+" } }, "required": [ "url" ], "additionalProperties": false } }, "discover_pricing_pages": { "title": "Discover pricing pages", "type": "boolean", "description": "If a homepage is provided, follow likely pricing links.", "default": true }, "max_pages": { "title": "Max pages", "minimum": 1, "type": "integer", "description": "Hard limit for pages inspected.", "default": 50 }, "max_depth": { "title": "Max depth", "minimum": 0, "type": "integer", "description": "How many internal link levels to follow for pricing-page discovery.", "default": 2 }, "wait_ms": { "title": "Wait after load", "minimum": 0, "type": "integer", "description": "Extra wait before extracting page data.", "default": 1000 }, "capture_screenshots": { "title": "Capture screenshots", "type": "boolean", "description": "Save full-page screenshots to Key-value Store.", "default": true }, "detect_changes": { "title": "Detect changes", "type": "boolean", "description": "Compare extracted pricing data against previous runs.", "default": true }, "snapshot_store_name": { "title": "Snapshot store name", "type": "string", "description": "Key-value Store used to remember previous pricing data.", "default": "saas-pricing-intel-snapshots" }, "currency_hint": { "title": "Currency hint", "type": "string", "description": "Optional fallback currency label when symbols are missing.", "default": "" } } }, "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 } } } } } } } } } } ```