# Company & Domain Enricher - Emails, Socials & Tech Stack (`oriented_wallpaper/company-domain-enricher`) Actor Turn domains into sales-ready company records: name, description, emails, phones, socials (LinkedIn, X, Facebook, Instagram), email provider (Google Workspace vs Microsoft 365 via MX) and tech stack (CMS, analytics, marketing, payments). No API key, no proxies. A Clearbit-lite enricher. - **URL**: https://apify.com/oriented\_wallpaper/company-domain-enricher.md - **Developed by:** [Flash Scrape](https://apify.com/oriented_wallpaper) (community) - **Categories:** Lead generation, Developer tools, Automation - **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $10.00 / 1,000 enriched companies 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 ## Company & Domain Enricher — enrich company domain data with emails, socials & tech stack **Enrich company domain data in bulk**: paste a list of domains or website URLs and get back sales-ready company records — company name, description, contact emails, phone numbers, social profiles, email provider (Google Workspace vs Microsoft 365), and the website's detected tech stack. A "Clearbit-lite" built to compose with lead scrapers: feed it the domain column from any scraped list and it fills in the rest. **No API key, no proxies, no enrichment-platform subscription** — it reads only DNS records and each company's own public pages, at **$10 per 1,000 enriched companies**. ### What it does - **Crawls each company's own site** — homepage plus common pages like `/about`, `/about-us`, `/contact`, `/contact-us`, `/team`, `/company` (up to your `maxPagesPerSite` limit) — and extracts everything useful. - **Company name & description** pulled from the site's metadata (`og:site_name`, ``, meta description), cleaned of taglines and truncated to sane lengths. - **Contact emails** found across the crawled pages, plus a `primary_email` that prefers addresses on the company's own domain over generic ones. - **Phone numbers** extracted from the pages (up to 5 per company). - **Social profiles** — LinkedIn, X/Twitter, Facebook, Instagram, and YouTube URLs. - **Email provider detection** from live MX records: know instantly whether a company runs on Google Workspace, Microsoft 365, or something else — a useful firmographic and deliverability signal. - **Tech stack detection** across 30+ signatures: CMS (WordPress, Shopify, Wix, Squarespace, Webflow, Framer, Drupal), marketing (HubSpot, Marketo, Mailchimp, Klaviyo, ActiveCampaign), analytics (Google Analytics, Hotjar, Segment, Meta Pixel), support/chat (Intercom, Drift, Zendesk, Crisp), payments (Stripe, PayPal), e-commerce (WooCommerce, BigCommerce), scheduling/forms (Calendly, Typeform), and hosting/frameworks (Cloudflare, Vercel, Netlify, Next.js, Gatsby). - **Dedupes domains automatically** (e.g. `stripe.com` and `https://www.stripe.com` count once) and processes them in parallel with configurable concurrency. - Optional `onlyWithEmail` filter keeps only records where a contact email was found, so the export is cold-email-ready. ### Use cases - **Cold outreach personalization** — segment a raw domain list by tech stack ("all Shopify stores", "everyone running HubSpot", "Microsoft 365 shops") and write angle-specific first lines instead of generic blasts. - **Lead-list enrichment for agencies** — clients hand you a CSV of company websites; return it with names, emails, phones, LinkedIn URLs, and stack columns added, as a paid deliverable on Fiverr or Upwork. - **CRM enrichment** — export accounts that are just a bare website field, run them through the enricher, and re-import company name, description, socials, and primary email. - **Competitor & displacement campaigns** — selling a chat widget? Filter `tech_stack` for domains running Drift or Intercom. Selling email marketing? Target the Mailchimp rows. - **Chaining with scrapers** — take the `website`/`domain` column from any lead scraper (local businesses, restaurants, Shopify stores) and turn thin listings into full firmographic records in a second pass. ### Input | Field | Type | Default | Description | |---|---|---|---| | `domains` | array | *(required)* | List of company domains or website URLs to enrich (e.g. `stripe.com`, `https://www.notion.so`). Paste one per line or pass an array. Also accepts a comma/space/newline-separated string. | | `includeTechStack` | boolean | `true` | Detect the website's tech stack (CMS, analytics, marketing, payments, chat, frameworks). | | `onlyWithEmail` | boolean | `false` | Keep only records where a contact email was found. | | `maxPagesPerSite` | integer | `3` | How many pages (home, about, contact, team...) to crawl per domain (1–8). | | `concurrency` | integer | `8` | How many domains to enrich in parallel (1–20). | Example input: ```json { "domains": ["stripe.com", "notion.so", "apify.com"], "includeTechStack": true, "onlyWithEmail": false } ```` Only `domains` is required — everything else has a sensible default. ### Output One dataset row per unique domain: | Field | Description | |---|---| | `input` / `domain` | Your raw input and the normalized bare domain | | `company_name` | Company name from site metadata | | `description` | Meta/OG description (up to 300 chars) | | `emails` / `primary_email` / `has_email` | All emails found, the best one (own-domain preferred), and a quick-filter flag | | `phones` | Phone numbers found on the site (max 5) | | `linkedin`, `twitter`, `facebook`, `instagram`, `youtube` | Social profile URLs | | `email_provider` / `mx_host` | Detected mail provider and the primary MX host | | `tech_stack` | Detected technologies (empty if `includeTechStack` is off) | | `status` | `ok`, or `unreachable` if no page could be fetched | Example row: ```json { "input": "stripe.com", "domain": "stripe.com", "company_name": "Stripe", "description": "Stripe is a suite of APIs powering online payment processing and commerce solutions for internet businesses of all sizes.", "emails": ["support@stripe.com", "press@stripe.com"], "primary_email": "support@stripe.com", "phones": [], "linkedin": "https://www.linkedin.com/company/stripe", "twitter": "https://twitter.com/stripe", "facebook": null, "instagram": null, "youtube": "https://www.youtube.com/stripe", "email_provider": "Google Workspace", "mx_host": "aspmx.l.google.com", "tech_stack": ["Google Analytics", "Stripe", "Next.js"], "status": "ok", "has_email": true } ``` Export to **CSV, Excel, or JSON** from the Apify Console or via the API. ### Pricing **Pay-per-result: $0.01 per enriched company ($10 per 1,000)**. You're charged only for records that land in your dataset — no subscription, no charge for empty runs, and with `onlyWithEmail` on you don't pay for email-less records that get filtered out. A **free Apify plan** covers your first test batches, so you can enrich a few hundred domains before spending anything. Compare that to per-seat enrichment platforms charging hundreds per month for the same field set. ### Tips / FAQ #### Where does the data come from? Two read-only sources: **live DNS lookups** (MX records for provider detection) and **the company's own public pages** — home, about, contact, team. Nothing is scraped from third-party databases, nothing requires a login, and results reflect what's on the site at run time, not a stale cache. #### How accurate is the tech-stack detection? It's signature-based: the crawler looks for platform-specific script URLs, asset domains, and markup (e.g. `cdn.shopify.com`, `hs-scripts.com`, `/_next/`) in the fetched HTML. It's reliable when a tool loads on the public site; back-office tools with no public footprint won't be detected. Heavily JavaScript-rendered sites may also expose fewer signals, since pages are fetched as raw HTML without executing scripts. #### Does it give employee count, revenue, or funding data? No. The record covers what a company publishes on its own site plus DNS-derived signals — name, description, contacts, socials, mail provider, tech stack. It won't invent firmographics it can't observe. #### What does `status: "unreachable"` mean? No page on the domain returned a usable HTML response (site down, bot-blocked, or not a website). You still get the DNS-based fields (`email_provider`, `mx_host`) for those rows, which is often enough to keep the lead. #### Some companies show no email — why? Many sites only expose a contact form. Turn `onlyWithEmail` on to drop those rows, raise `maxPagesPerSite` to dig deeper, or take the domain plus a contact name to the [Email Pattern Finder](https://apify.com/oriented_wallpaper/email-pattern-finder) to generate likely addresses instead. #### How do I run it on a schedule or from code? Trigger runs via the [Apify API](https://docs.apify.com/api/v2) or SDKs, schedule a weekly re-enrichment with Apify **Schedules**, and export CSV/Excel/JSON or push results to your stack through webhooks, Zapier, or Make. ### Related actors - [Email Pattern Finder](https://apify.com/oriented_wallpaper/email-pattern-finder) — generate likely work emails for named people at the domains you just enriched. - [Bulk Email Verifier](https://apify.com/oriented_wallpaper/email-verifier) — verify the extracted emails before your campaign goes out. - [Local Business Leads Scraper](https://apify.com/oriented_wallpaper/local-business-leads) — build the domain list itself: local businesses by city and category. *** Found a bug or missing a feature? Open an issue on this actor's **Issues tab** — typical response within 1 business day. # Actor input Schema ## `domains` (type: `array`): List of company domains or website URLs to enrich (e.g. 'stripe.com', 'https://www.notion.so'). Paste one per line or pass an array. Also accepts a comma/space/newline-separated string. ## `includeTechStack` (type: `boolean`): Detect the website's tech stack (CMS, analytics, marketing, payments, chat, frameworks). ## `onlyWithEmail` (type: `boolean`): Keep only records where a contact email was found. ## `maxPagesPerSite` (type: `integer`): How many pages (home, about, contact, team...) to crawl per domain. ## `concurrency` (type: `integer`): How many domains to enrich in parallel. ## Actor input object example ```json { "domains": [ "stripe.com", "notion.so", "apify.com" ], "includeTechStack": true, "onlyWithEmail": false, "maxPagesPerSite": 3, "concurrency": 8 } ``` # 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 '<YOUR_API_TOKEN>' with your token const client = new ApifyClient({ token: '<YOUR_API_TOKEN>', }); // Prepare Actor input const input = { "domains": [ "stripe.com", "notion.so", "apify.com" ] }; // Run the Actor and wait for it to finish const run = await client.actor("oriented_wallpaper/company-domain-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 '<YOUR_API_TOKEN>' with your token. client = ApifyClient("<YOUR_API_TOKEN>") # Prepare the Actor input run_input = { "domains": [ "stripe.com", "notion.so", "apify.com", ] } # Run the Actor and wait for it to finish run = client.actor("oriented_wallpaper/company-domain-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 '{ "domains": [ "stripe.com", "notion.so", "apify.com" ] }' | apify call oriented_wallpaper/company-domain-enricher --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=oriented_wallpaper/company-domain-enricher", "--header", "Authorization: Bearer <YOUR_API_TOKEN>" ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Company & Domain Enricher - Emails, Socials & Tech Stack", "description": "Turn domains into sales-ready company records: name, description, emails, phones, socials (LinkedIn, X, Facebook, Instagram), email provider (Google Workspace vs Microsoft 365 via MX) and tech stack (CMS, analytics, marketing, payments). No API key, no proxies. A Clearbit-lite enricher.", "version": "0.1", "x-build-id": "2FeEOYASbn6eHT7kW" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/oriented_wallpaper~company-domain-enricher/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-oriented_wallpaper-company-domain-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/oriented_wallpaper~company-domain-enricher/runs": { "post": { "operationId": "runs-sync-oriented_wallpaper-company-domain-enricher", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/oriented_wallpaper~company-domain-enricher/run-sync": { "post": { "operationId": "run-sync-oriented_wallpaper-company-domain-enricher", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "domains" ], "properties": { "domains": { "title": "Domains / website URLs", "type": "array", "description": "List of company domains or website URLs to enrich (e.g. 'stripe.com', 'https://www.notion.so'). Paste one per line or pass an array. Also accepts a comma/space/newline-separated string.", "items": { "type": "string" } }, "includeTechStack": { "title": "Detect tech stack", "type": "boolean", "description": "Detect the website's tech stack (CMS, analytics, marketing, payments, chat, frameworks).", "default": true }, "onlyWithEmail": { "title": "Only companies with an email", "type": "boolean", "description": "Keep only records where a contact email was found.", "default": false }, "maxPagesPerSite": { "title": "Max pages per website", "minimum": 1, "maximum": 8, "type": "integer", "description": "How many pages (home, about, contact, team...) to crawl per domain.", "default": 3 }, "concurrency": { "title": "Concurrency", "minimum": 1, "maximum": 20, "type": "integer", "description": "How many domains to enrich in parallel.", "default": 8 } } }, "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 } } } } } } } } } } ```