# GTM Tech Stack Signal Enrichment (`mambalabs/gtm-tech-stack-signal-scraper`) Actor Detects which GTM tools a company uses on their website. Returns a flat, Clay-ready row with detected CRM, sequencer, and marketing automation signals. Purpose-built for outbound qualification, no JSON parsing required. - **URL**: https://apify.com/mambalabs/gtm-tech-stack-signal-scraper.md - **Developed by:** [Mamba Labs](https://apify.com/mambalabs) (community) - **Categories:** Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $70.00 / 1,000 results 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 ## GTM Tech Stack Signal Enrichment GTM tech stack detection for Clay. Flat boolean output. No JSON parsing required. Takes a company domain or URL, renders the page with headless Chromium, and returns a single flat row with boolean flags for each GTM tool detected. Drop it into a Clay HTTP Request column and filter on `gtm_tool_count > 0` to qualify your list instantly. --- ### Who this is for - Clay users building outbound qualification tables who need GTM tool flags without writing formula columns - GTM agencies enriching lead lists with tech stack signals at scale - RevOps teams segmenting accounts by CRM, sequencer, and marketing automation usage --- ### Input | Field | Type | Required | Notes | |---|---|---|---| | `url` | String | Yes | Company domain or full URL. Both work: hubspot.com or https://hubspot.com | | `company_domain` | String | No | Alternative to url field. Use either one. | --- ### Output Every field is present in every row. No nested JSON. Ready to use as a Clay enrichment column. | Field | Type | Description | |---|---|---| | `company_domain` | String | Normalized domain from input | | `crm_detected` | String | hubspot / salesforce / pipedrive / zoho / none | | `seq_tool_detected` | String | outreach / salesloft / apollo / instantly / lemlist / reply / none | | `uses_hubspot` | Boolean | HubSpot CRM or Marketing Hub detected | | `uses_salesforce` | Boolean | Salesforce detected | | `uses_clay` | Boolean | Clay detected | | `uses_apollo` | Boolean | Apollo.io detected | | `uses_outreach` | Boolean | Outreach detected | | `uses_gong` | Boolean | Gong detected | | `uses_zoominfo` | Boolean | ZoomInfo detected | | `uses_linkedin_sales_nav` | Boolean | LinkedIn Sales Navigator detected | | `uses_drift` | Boolean | Drift detected | | `uses_intercom` | Boolean | Intercom detected | | `marketing_automation_detected` | String | marketo / pardot / hubspot / eloqua / none | | `gtm_tool_count` | Integer | Count of true boolean fields | | `tech_stack_signal` | String | high / medium / low | | `detection_error` | Boolean | True if domain timed out or was blocked | | `run_date` | ISO Date | Timestamp of the run | **Sample output:** ```json { "company_domain": "hubspot.com", "crm_detected": "hubspot", "seq_tool_detected": "none", "uses_hubspot": true, "uses_salesforce": false, "uses_clay": false, "uses_apollo": false, "uses_outreach": false, "uses_gong": false, "uses_zoominfo": false, "uses_linkedin_sales_nav": false, "uses_drift": false, "uses_intercom": false, "marketing_automation_detected": "hubspot", "gtm_tool_count": 1, "tech_stack_signal": "medium", "detection_error": false, "run_date": "2026-04-06T09:03:47.744Z" } ```` Clay gate column: `gtm_tool_count > 0` *** ### How signal strength is derived | Strength | Criteria | |---|---| | high | CRM detected AND sequencer detected AND 3 or more total tools | | medium | CRM or sequencer detected, 1 to 2 total tools | | low | At least 1 tool detected, no CRM and no sequencer | *** ### Clay integration 1. Add a new column in your Clay table. Select HTTP Request. 2. Set the URL to: `https://api.apify.com/v2/acts/mambalabs~gtm-tech-stack-signal-scraper/run-sync-get-dataset-items?token=YOUR_API_TOKEN` 3. Set Method to POST. 4. Set the body: `{ "url": "{{domain}}" }` 5. Map the response fields you want as Clay columns: `crm_detected`, `gtm_tool_count`, `tech_stack_signal`, `uses_hubspot`. 6. Set your run condition: only run if `domain` is not empty. 7. Filter your view: `gtm_tool_count` greater than 0. Your API token is in your Apify account under Settings > Integrations. *** ### Known limitations Tools not detectable via website scrape: Clay, Apollo, Outreach, Gong, ZoomInfo, Salesloft, Instantly, Lemlist, LinkedIn Sales Navigator. These are backend-only or internal SaaS products with no client-side footprint on a company's public website. This is not a bug. Auth-walled pages: Detection runs against the public-facing homepage only. Custom CDN routing: Some companies proxy third-party scripts through their own CDN, which can cause false negatives. *** ### Pricing $0.07 per result. Pay per event, billed once per domain processed. *** ### Related Actors - [GTM Hiring Signal Scraper](https://apify.com/mambalabs/gtm-hiring-signal-scraper) - Scrape Greenhouse, Lever, and Ashby for GTM hiring signals. $0.07/result. - [GTM Signals Aggregator](https://apify.com/mambalabs/gtm-signals-aggregator) - Run both hiring signals and tech stack detection in one call. $0.12/result vs $0.14 if run separately. Saves 14% and adds a composite signal score. *** Built by [Mamba Labs](https://apify.com/mambalabs). # Actor input Schema ## `url` (type: `string`): Company domain or full URL. Both formats work: hubspot.com or https://hubspot.com ## `company_domain` (type: `string`): Alternative to the URL field. Use either one. ## Actor input object example ```json {} ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("mambalabs/gtm-tech-stack-signal-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = {} # Run the Actor and wait for it to finish run = client.actor("mambalabs/gtm-tech-stack-signal-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 '{}' | apify call mambalabs/gtm-tech-stack-signal-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=mambalabs/gtm-tech-stack-signal-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "GTM Tech Stack Signal Enrichment", "description": "Detects which GTM tools a company uses on their website. Returns a flat, Clay-ready row with detected CRM, sequencer, and marketing automation signals. Purpose-built for outbound qualification, no JSON parsing required.", "version": "0.1", "x-build-id": "UeqtNXx3VlzG4ZxEW" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/mambalabs~gtm-tech-stack-signal-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-mambalabs-gtm-tech-stack-signal-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/mambalabs~gtm-tech-stack-signal-scraper/runs": { "post": { "operationId": "runs-sync-mambalabs-gtm-tech-stack-signal-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/mambalabs~gtm-tech-stack-signal-scraper/run-sync": { "post": { "operationId": "run-sync-mambalabs-gtm-tech-stack-signal-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "url": { "title": "Company Website", "type": "string", "description": "Company domain or full URL. Both formats work: hubspot.com or https://hubspot.com" }, "company_domain": { "title": "Company Domain (alternative)", "type": "string", "description": "Alternative to the URL field. Use either one." } } }, "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 } } } } } } } } } } ```