# Local Business Contact Enricher β€” Name, Role & Email (`scrapersdelight/local-business-enricher`) Actor Turn a local business website into the owner/pastor/manager contact: name, role, and email (incl. gmail/generic mailboxes), with MX validation. Reads plain-HTML about/staff/contact pages, not just corporate team pages. No login, no paid API. - **URL**: https://apify.com/scrapersdelight/local-business-enricher.md - **Developed by:** [Scrapers Delight](https://apify.com/scrapersdelight) (community) - **Categories:** Lead generation, Automation, Agents - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $10.00 / 1,000 per business contact 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 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/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 ## Local Business Email Finder β€” the affordable Clay & Apollo alternative πŸ“‡ **Give it a list of local-business websites. Get back the real contact person's name, role, and email β€” one you can actually send to.** You have a list of local businesses and all you've got is a website. No name. No email. No way to reach a human. And the "team page" enrichment tools you pay **$150–$800/month** for come back empty on small, local businesses β€” because a plumber, a dealership, a clinic, a diner, or a church doesn't have a structured team page, a JSON-LD `Person` block, or a LinkedIn-shaped org chart. This is the pay-per-result, zero-setup **alternative to Clay, Apollo, ZoomInfo, Hunter, and Instantly** for one specific job: turning a list of local-business websites into **named contacts + real, observed emails**. No subscription. No credits to hoard. No table-building or waterfall config. You paste a list, you get contacts, and you pay ~1Β’ only for the ones it finds. It works on **any** local business β€” car dealers, churches, trades, restaurants, clinics, shops, agencies, gyms, salons β€” the exact long-tail that corporate enrichment tools completely miss. --- ### πŸ“Š The proof (real run β€” nothing inflated) We ran it on a real list of **2,168 local businesses**, each with just a website: | Metric | Result | |---|---| | Businesses processed | **2,168** | | Contact **name** found | **1,341** | | Real **email** found | **1,149** | | Had **both** name + email | **979** | | Previously-blank names filled | **1,323** | | Emails that are pattern-guesses | **0** | **Every single email is _observed_** β€” a real address found on the business's own website β€” never a `firstname@domain.com` pattern-guess that bounces and burns your sending reputation. On the **same list**, a leading corporate email finder managed roughly **1 hit in 20**. This got **~10Γ— more** β€” because it's built for exactly the small/local businesses those tools (which need tidy "team" pages and JSON-LD) were never designed to read. --- ### πŸ†š Why this instead of Clay / Apollo / ZoomInfo / Hunter? This is **not** a full GTM platform, and that's the point. It's a focused, single-purpose **email finder + contact enrichment** actor for one job: **local-business websites β†’ named contacts + real emails.** It beats the big tools *at that specific job*, on price and simplicity. | | This actor | Clay / Apollo / ZoomInfo / Hunter | |---|---|---| | **Pricing** | **$0.01 per verified contact** | $150–$800+/month subscription | | **Misses cost you** | **$0** β€” pay only for hits | Credits burn regardless | | **Setup** | **Paste a list. Run.** | Tables, credits, waterfall config | | **Local / small business** | **Built for it βœ…** | Built for corporate rosters ❌ | | **Emails** | **Observed on the real page** | Often pattern-guessed / stale | | **Commitment** | None β€” per-result | Monthly seats & credit hoarding | > **Honest framing:** this is an *alternative to* Clay/Apollo for one job β€” not a clone of them and not affiliated with them. If you need a full multi-source GTM platform with intent data, waterfalls, and CRM sync, keep Clay. If you have a list of local-business sites and just need **named contacts + real emails without a subscription**, this is cheaper, simpler, and hits far more often on local data. --- ### πŸ“₯ What you get (per business) | Field | What it is | |---|---| | `contact_name` | Full name of the contact person | | `first_name` / `last_name` | Split name parts | | `role` | Their title/role (owner, GM, office manager…) | | `email` | The best real, **observed** email | | `email_source` | How it was found (`observed`) | | `all_emails[]` | Every address discovered on the site | | `phone` | Business phone | | `socials` | Facebook / Instagram / LinkedIn found on-site | | `confidence` | `high` / `medium` / `low` | | `mx_valid` | Whether the domain's mail server accepts mail | | `source_url` | The exact page the email came from | | `id` | **Your own id, echoed back** β€” results merge straight into your CSV/CRM | --- ### βš™οΈ How it works (real crawl β†’ real emails) For each business, it actually **crawls the live website** β€” the homepage plus the pages that matter: **about, contact, staff, team, and meet-the-owner** pages. It reads the page like a person would, pulls the human's name and role, and grabs the email that's *printed on the site*. Then it MX-checks the domain so what comes back can actually receive mail. Because the email is lifted from the real page, it's a real address β€” not a `j.smith@` guess that bounces. --- ### ⏱️ Why it takes a little time (this is a feature, not a flaw) It spends about **30–40 seconds per business** because it's genuinely reading each website. A ~2,000-business list runs in roughly **1–2 hours** (faster if you split it into parallel runs). **That wait is the point.** A fake pattern-guess is instant *and* bounces. These emails are slower because they're **real** β€” found on the page, MX-checked, safe to send. Pattern-guess emails bounce, get you spam-flagged, and damage your domain reputation. Observed emails land. > πŸ’‘ In a hurry? Split your list across several parallel runs β€” you keep the observed-email quality and cut the wall-clock time to well under an hour. --- ### πŸ’° Pricing - **$0.01 per enriched contact** (pay-per-result). - **$0 for any business where nothing is found** β€” you only pay for hits. - No subscription. No monthly minimum. No credits to buy or expire. Enrich the whole 2,168-business list from our proof run and you'd pay for the **~1,149 real emails you actually got** β€” about **$11** β€” not for a seat, and not for the misses. Compare that to a $150–$800/month platform where credits burn whether or not you get a usable contact. --- ### πŸ‘₯ Who it's for - **Sales & SDR teams** turning a scraped site list into named, emailable contacts. - **Local lead-gen & marketing agencies** prospecting SMB clients (web, SEO, PR). - **List builders & data resellers** enriching blank-contact rows at scale. - **Home-services & trades, auto/dealership, recruiters & staffing** reaching local owners/managers. - **Anyone with a list of websites** (Google Maps, Yelp, a directory export) and no contact behind them β€” including **Clay / Apollo users** who want a cheap per-result fallback for the local businesses those tools miss. --- ### πŸ“ Input example Give it a list of businesses β€” a website is all that's required (Facebook/Instagram optional). Add your own `id` to merge results back into your data. ```json { "businesses": [ { "id": "1042", "website": "https://www.smithfamilydental.com", "facebook": "https://facebook.com/smithfamilydental" }, { "id": "1043", "website": "riversideautosales.com" }, { "id": "1044", "website": "https://gracechurch-austin.org" } ] } ```` Each result comes back with your `id` echoed, so it drops straight into your CSV or CRM. *** ### ❓ FAQ **Is this really a Clay alternative?** For the specific job of turning local-business websites into named contacts + real emails β€” yes, and a cheaper, zero-setup one. It is **not** a full GTM platform like Clay, and it is **not affiliated with Clay**. If you need multi-source waterfalls, intent data, and CRM sync, use Clay. If you need real local-business contacts without a $150–$800/month subscription, this beats the big tools *at this job, on local data, on price* β€” for ~1Β’ a hit. **Why does it take ~30–40 seconds per business instead of being instant?** Because it crawls each real website (home + about/contact/team pages) to find a real, observed email instead of guessing a pattern. Instant tools guess `firstname@domain.com` and hope. Real emails don't bounce or wreck your sender reputation. Speed it up by running parallel batches. **Are the emails guessed or real?** Real. Every email is **observed** on the business's own website, with the exact `source_url` returned so you can verify it, and the domain's mail server is **MX-checked** (`mx_valid`). Zero pattern-guesses. **What if it can't find anything for a business?** You pay **$0** for that business. You're only charged the $0.01 for actual hits. **Will it work on any local business?** It's built for exactly the small/local businesses corporate tools miss β€” dealers, trades, restaurants, clinics, churches, shops, agencies. Any business with a real website; no structured team page or JSON-LD required. For big structured enterprise directories, a corporate tool may match it. **Can I merge results with my existing list?** Yes β€” pass your own `id` per business and it's echoed back on every result for a clean join into your CSV/CRM. *** *Stop paying a subscription for tools that come back empty on local businesses. Paste your list of websites β†’ get named contacts + real, observed emails β†’ pay a penny per hit. The honest, affordable Clay & Apollo alternative for local email enrichment.* # Actor input Schema ## `businesses` (type: `array`): One object per business. Each needs a website OR domain; the rest are optional and improve results. Fields: id (echoed back so you can merge on your CSV), company, website, domain, facebook, instagram, linkedin. Example: {"id":"row1","company":"Bethel Baptist Church","website":"https://bethelbaptist.ca","facebook":"https://facebook.com/..."}. ## `domains` (type: `array`): Optional shortcut instead of the objects above: just a list of websites or domains, e.g. "bethelbaptist.ca", "https://avonmennonite.com". No id / socials merge β€” use "businesses" for that. ## `maxContactsPerBusiness` (type: `integer`): How many contacts to return per business. 1 (default) = the single best contact (recommended for list enrichment). Increase to also return additional named people found. ## `useSocials` (type: `boolean`): If a Facebook URL is provided and the website yielded no name, fetch the public Facebook page/about for a contact email + phone. Best-effort β€” Facebook may block; the row never fails. ## `useGoogleFallback` (type: `boolean`): If the site and socials give no name, search Google for "{company}" (pastor|owner|founder|director) to find one. Best-effort, paced, needs a residential proxy. Off by default so runs stay fast and reliable. ## `maxItems` (type: `integer`): Overall cap on billed contact records this run. 0 = no cap. ## `proxyConfiguration` (type: `object`): Proxy settings. Local business sites are arbitrary domains (some behind Cloudflare/WAF), so residential is the default for clean IP reputation. Override if you prefer. ## `requestConcurrency` (type: `integer`): How many businesses to enrich in parallel. ## `diagnose` (type: `boolean`): Dev only. Enriches the first business, logs the parsed contact rows, then exits. ## Actor input object example ```json { "businesses": [ { "id": "1", "company": "Avon Mennonite Church", "website": "https://www.avonmennonite.com/", "facebook": "https://www.facebook.com/AvonChurchStratford" }, { "id": "2", "company": "Berean Baptist Church", "website": "https://bereanbaptistlondon.org/" } ], "maxContactsPerBusiness": 1, "useSocials": true, "useGoogleFallback": false, "maxItems": 0, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] }, "requestConcurrency": 5, "diagnose": false } ``` # Actor output Schema ## `contacts` (type: `string`): The dataset of enriched contacts (one best contact per business: name, role, email, source, confidence, MX). # 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 = { "businesses": [ { "id": "1", "company": "Avon Mennonite Church", "website": "https://www.avonmennonite.com/", "facebook": "https://www.facebook.com/AvonChurchStratford" }, { "id": "2", "company": "Berean Baptist Church", "website": "https://bereanbaptistlondon.org/" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("scrapersdelight/local-business-enricher").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 = { "businesses": [ { "id": "1", "company": "Avon Mennonite Church", "website": "https://www.avonmennonite.com/", "facebook": "https://www.facebook.com/AvonChurchStratford", }, { "id": "2", "company": "Berean Baptist Church", "website": "https://bereanbaptistlondon.org/", }, ] } # Run the Actor and wait for it to finish run = client.actor("scrapersdelight/local-business-enricher").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 '{ "businesses": [ { "id": "1", "company": "Avon Mennonite Church", "website": "https://www.avonmennonite.com/", "facebook": "https://www.facebook.com/AvonChurchStratford" }, { "id": "2", "company": "Berean Baptist Church", "website": "https://bereanbaptistlondon.org/" } ] }' | apify call scrapersdelight/local-business-enricher --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapersdelight/local-business-enricher", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Local Business Contact Enricher β€” Name, Role & Email", "description": "Turn a local business website into the owner/pastor/manager contact: name, role, and email (incl. gmail/generic mailboxes), with MX validation. Reads plain-HTML about/staff/contact pages, not just corporate team pages. No login, no paid API.", "version": "0.1", "x-build-id": "ceeN0vNoQKfObSfFg" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapersdelight~local-business-enricher/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapersdelight-local-business-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapersdelight~local-business-enricher/runs": { "post": { "operationId": "runs-sync-scrapersdelight-local-business-enricher", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapersdelight~local-business-enricher/run-sync": { "post": { "operationId": "run-sync-scrapersdelight-local-business-enricher", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "businesses": { "title": "Businesses to enrich", "type": "array", "description": "One object per business. Each needs a website OR domain; the rest are optional and improve results. Fields: id (echoed back so you can merge on your CSV), company, website, domain, facebook, instagram, linkedin. Example: {\"id\":\"row1\",\"company\":\"Bethel Baptist Church\",\"website\":\"https://bethelbaptist.ca\",\"facebook\":\"https://facebook.com/...\"}." }, "domains": { "title": "Domains / websites (simple fallback)", "type": "array", "description": "Optional shortcut instead of the objects above: just a list of websites or domains, e.g. \"bethelbaptist.ca\", \"https://avonmennonite.com\". No id / socials merge β€” use \"businesses\" for that.", "items": { "type": "string" } }, "maxContactsPerBusiness": { "title": "Max contacts per business", "minimum": 1, "type": "integer", "description": "How many contacts to return per business. 1 (default) = the single best contact (recommended for list enrichment). Increase to also return additional named people found.", "default": 1 }, "useSocials": { "title": "Use social profiles", "type": "boolean", "description": "If a Facebook URL is provided and the website yielded no name, fetch the public Facebook page/about for a contact email + phone. Best-effort β€” Facebook may block; the row never fails.", "default": true }, "useGoogleFallback": { "title": "Google fallback for a name", "type": "boolean", "description": "If the site and socials give no name, search Google for \"{company}\" (pastor|owner|founder|director) to find one. Best-effort, paced, needs a residential proxy. Off by default so runs stay fast and reliable.", "default": false }, "maxItems": { "title": "Max results (total)", "minimum": 0, "type": "integer", "description": "Overall cap on billed contact records this run. 0 = no cap.", "default": 0 }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Proxy settings. Local business sites are arbitrary domains (some behind Cloudflare/WAF), so residential is the default for clean IP reputation. Override if you prefer.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }, "requestConcurrency": { "title": "Request concurrency", "minimum": 1, "maximum": 20, "type": "integer", "description": "How many businesses to enrich in parallel.", "default": 5 }, "diagnose": { "title": "Diagnostic mode (dev)", "type": "boolean", "description": "Dev only. Enriches the first business, logs the parsed contact rows, then exits.", "default": false } } }, "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 } } } } } } } } } } ```