# B2B Lead Enricher (`zinin/b2b-lead-enricher`) Actor Turn a list of company websites into sales-qualified lead cards: detected tech stack, a rough revenue band, concrete sell-into opportunities and a 0-100 lead score. Public HTML only — no browser, no proxies, no login. - **URL**: https://apify.com/zinin/b2b-lead-enricher.md - **Developed by:** [Tim Zinin](https://apify.com/zinin) (community) - **Categories:** Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 1,000 lead enricheds 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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## B2B Lead Enricher — Tech Stack, Revenue Band & Sales Opportunities Point this Actor at a list of company websites and get back sales-ready lead cards: the tech stack each one runs, a rough revenue band, a 0–100 lead score, and concrete "sell them this" opportunities. Every field comes from public HTML and HTTP headers — no browser, no proxies, no login, nothing to configure. ### What you get - **Lead score (0–100)** split into `budgetSignal` (0–50, does this company spend money on its stack) and `sellability` (0–50, how many concrete gaps there are to pitch into). - **Revenue band estimate** (`<$100K`, `$100K–$1M`, `$1M–$10M`, `$10M+`) with an honest `confidence: "low"` label — a heuristic from the homepage stack, not financial data. - **Ecommerce & CMS** detected — Shopify, WooCommerce, Magento, BigCommerce, Salesforce Commerce, PrestaShop, WordPress, Drupal, Joomla, Wix, Squarespace, Webflow, Ghost, Tilda, Framer… - **Martech maturity** (`none` / `basic` / `advanced`) from the number of analytics, marketing-automation and chat tools detected. - **Sales opportunities** — plain-English gaps such as *"Ecommerce without email marketing → sell Klaviyo/lifecycle email"* or *"No web analytics detected → sell measurement/analytics setup"*. - **Full technology list** grouped by category — Analytics, Marketing/CRM, Chat/Support, Payments, Hosting/CDN, Framework, Tag Manager, Fonts. - Runs on Apify: schedule it, monitor it, call it from the API, export to JSON/CSV/Excel or push straight into your own pipeline. ### Who is this for - **Sales & SDR teams** — turn a raw domain list into a ranked, pitch-ready lead list before the first cold email - **Agencies** — prioritize outreach on prospects with real budget signal and a specific, fixable gap - **Growth & demand-gen** — score inbound leads or a purchased list without a paid enrichment seat - **Fractional CMOs / consultants** — build a quick opportunity map for a target account list ### How scoring works `leadScore = budgetSignal (0–50) + sellability (0–50)`. Budget signal rewards ecommerce, paid social, marketing automation and a broad real-business stack — CMS, ecommerce, analytics, marketing, chat and payments count; fonts and hosting don't. Sellability rewards the number of concrete opportunities found. A company with a saturated stack and nothing left to sell caps near 50 — a real signal for a buyer sorting by score, not an inflated "top lead." ### How to run it 1. Click **Try for free** — no card needed on the free plan. 2. Paste your company websites into **Company websites**, one per line. 3. Press **Start**. Results land in the dataset — read them in the UI, pull them from the API, or have a webhook push them onward. ### Pricing Pay-per-event: **$0.005 per run start + $0.01 per result**. No monthly seat, no minimum. 100 companies cost about **$1.01**; 1,000 companies about **$10.01**. A company that could not be enriched is still returned, with `found: false` and the reason — and it is **not** charged for. You pay for answers, not for attempts. ### Input | Field | Required | What it does | |---|---|---| | `websites` | yes | Company websites to enrich. Up to 100 per run. | | `maxConcurrency` | no | How many companies to enrich in parallel, 1–50 (default 10). | ```json { "websites": ["gymshark.com", "stripe.com", "notion.so"], "maxConcurrency": 10 } ```` ### Output One row per company. This is a real row from a real run: ```json { "url": "https://us.checkout.gymshark.com/", "found": true, "httpStatus": 200, "cms": null, "ecommerce": "Shopify", "hosting": "Cloudflare", "technologies": ["Shopify", "Zendesk", "Cloudflare"], "technologiesCount": 3, "martechMaturity": "none", "revenueEstimate": { "band": "$100K–$1M", "confidence": "low" }, "opportunities": [ "No web analytics detected → sell measurement/analytics setup", "Ecommerce without email marketing → sell Klaviyo/lifecycle email" ], "budgetSignal": 19, "sellability": 30, "leadScore": 49, "summary": "https://us.checkout.gymshark.com/ — Shopify store, ~$100K–$1M (confidence low), lead score 49/100 (budget 19/50, sellability 30/50), 2 sales opportunities.", "checkedAt": "2026-07-26T13:55:54.241Z" } ``` | Field | What it means | |---|---| | `leadScore` | 0–100, `budgetSignal` + `sellability` | | `revenueEstimate.confidence` | Always `"low"` — a heuristic, not financial data | | `martechMaturity` | `none` / `basic` / `advanced`, from the number of analytics + marketing tools found | | `opportunities` | Plain-English sales angles, empty when the stack is already saturated | | `technologies` | Full list; `technologiesCount` is its length | | `found` | `false` means the enrichment failed; the row says why and is not billed | #### Need the rest of the picture? These run on the same account, take the same shape of input and bill the same way, so they slot into an existing pipeline without new plumbing. | Actor | What it does | |---|---| | [Company Hiring Radar](https://apify.com/zinin/company-hiring-radar) | Pull every open role a company is hiring for from its public job board (Greenhouse, Lever, Ashby) and turn… | | [Company Profile Lookup](https://apify.com/zinin/company-lookup) | Turn a domain or company name into one unified company card: website tech stack (CMS, ecommerce, key tech)… | | [Company Registry Enricher](https://apify.com/zinin/company-registry-enricher) | Turn a company name, LEI or UK company number into an official registry card: legal name, status,… | | [Intent Signal Aggregator](https://apify.com/zinin/intent-signal-aggregator) | Is this company in-market right now? Combines public hiring activity (Greenhouse, Lever, Ashby) and recent… | | [Website Tech Stack Detector](https://apify.com/zinin/tech-stack-detector) | Detect the technologies a website runs — CMS, ecommerce platform, analytics, marketing/CRM, JS framework,… | ### FAQ **Does it render JavaScript?** No — it reads served HTML and headers, the same detection engine as our Tech Stack Detector Actor. Fast and cheap, but tech injected only after heavy client-side rendering may not appear. **Is the revenue band accurate?** It's a heuristic from public stack signals only, always returned with `confidence: "low"`. Treat it as a rough sort order, not a valuation. **Is this legal?** Yes — it reads publicly served HTML and standard HTTP headers, the same data any browser receives when it loads the page. **Can I call it from an AI agent?** Yes — standard Apify Actor, callable from the Apify API, the SDK, or the Apify MCP server. **What this is NOT.** It does not find contact emails, verify a company's actual revenue, or replace a real enrichment/firmographics provider. It reads what a homepage's HTML and headers reveal about a company's stack and turns that into a sortable, pitchable signal — nothing more. Found a wrong result, or need a signal we don't track? Open an issue on this Actor's page. *** Built by [zinin](https://apify.com/zinin). Questions? Telegram [@timzinin](https://t.me/timzinin). # Actor input Schema ## `websites` (type: `array`): List of company websites to enrich (e.g. `gymshark.com`). One row per company. ## `maxConcurrency` (type: `integer`): How many companies to enrich in parallel. ## Actor input object example ```json { "websites": [ "gymshark.com", "stripe.com", "notion.so" ], "maxConcurrency": 10 } ``` # 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 = { "websites": [ "gymshark.com", "stripe.com", "notion.so" ] }; // Run the Actor and wait for it to finish const run = await client.actor("zinin/b2b-lead-enricher").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 = { "websites": [ "gymshark.com", "stripe.com", "notion.so", ] } # Run the Actor and wait for it to finish run = client.actor("zinin/b2b-lead-enricher").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 '{ "websites": [ "gymshark.com", "stripe.com", "notion.so" ] }' | apify call zinin/b2b-lead-enricher --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=zinin/b2b-lead-enricher", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "B2B Lead Enricher", "description": "Turn a list of company websites into sales-qualified lead cards: detected tech stack, a rough revenue band, concrete sell-into opportunities and a 0-100 lead score. Public HTML only — no browser, no proxies, no login.", "version": "0.1", "x-build-id": "TihHiAVtB9VPX66cV" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/zinin~b2b-lead-enricher/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-zinin-b2b-lead-enricher", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/zinin~b2b-lead-enricher/runs": { "post": { "operationId": "runs-sync-zinin-b2b-lead-enricher", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/zinin~b2b-lead-enricher/run-sync": { "post": { "operationId": "run-sync-zinin-b2b-lead-enricher", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "websites" ], "properties": { "websites": { "title": "Company websites", "maxItems": 100, "type": "array", "description": "List of company websites to enrich (e.g. `gymshark.com`). One row per company.", "items": { "type": "string" } }, "maxConcurrency": { "title": "Max concurrency", "minimum": 1, "maximum": 50, "type": "integer", "description": "How many companies to enrich in parallel.", "default": 10 } } }, "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 } } } } } } } } } } ```