# Domain to Company Data Lookup (Logo, Socials, Role Emails) (`locaihost/company-profile`) Actor Get company data from a domain: name, description, logo, founding year, HQ country, social profiles and role contact emails, taken from the company's own website, never a third-party database. Careers page, ATS and tech hints too. Dead or blocked sites cost nothing. $1.50 per 1,000 companies. - **URL**: https://apify.com/locaihost/company-profile.md - **Developed by:** [locaihost data](https://apify.com/locaihost) (community) - **Categories:** Lead generation, Business, Marketing - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.83 / 1,000 company profiles This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes. 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. Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md. ## 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. Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run. For examples already wired to this Actor's own input schema, see the [API](#api) section below. Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`). # README ## Domain to Company Data Lookup (Logo, Socials, Role Emails) Turn a list of company domains into one structured profile per company, read straight from each company's own website: name, description, logo, founding year, address and country, social accounts, role contact emails, phone, careers and pricing pages, hiring platform and tech hints. No login, no API key, no third-party database. - **Enrich a lead list:** turn a column of domains into names, descriptions, LinkedIn pages, generic contact inboxes and HQ country. - **Clean up a CRM:** fill missing logos, social links and countries, and spot dead or redirected domains. - **Map a market:** compare founding years, locations, tech stacks, hiring activity and pricing pages across hundreds of companies. - **Answer questions from an agent:** "what does this company do, where is it, how do I reach it?" as structured JSON. ### Quick start Paste this into the **JSON** tab of the input and click **Start**: ```json {"domains": ["stripe.com", "monzo.com", "ninjavan.co", "basecamp.com", "octopus.energy"]} ``` You get 5 company profiles, usually in about 20 seconds. Domains and any URL on a company's site both work; duplicates are merged. ### What data can I get? ![Real profiles from this Actor's output: company name, founding year, country, the job board they hire through, pricing page, social accounts and tech hints for five companies](https://locaihost.org/img/readme/company-profile.png) | Group | Fields | |---|---| | Company | `name`, `legalName`, `description`, `aboutSummary` (1-3 sentences quoted from the About page), `organizationType`, `foundingYear`, `keywords` | | Brand | `logoUrl`, `faviconUrl` | | Location | `address` (`street`, `city`, `region`, `postalCode`, `country`, `full`), `countryCode` | | Social accounts | `socialProfiles`: `linkedin`, `x`, `facebook`, `instagram`, `youtube`, `github`, `tiktok` (company pages only) | | Contact | `contact.emails` (role mailboxes only), `contact.phone`, `contact.contactPageUrl` | | Signals | `signals`: `hasCareersPage`, `careersUrl`, `careersPlatform`, `hasPricingPage`, `pricingUrl`, `hasBlog`, `blogUrl`, `languages`, `techHints`, `hasLlmsTxt`, `schemaTypes` | | Run detail | `input`, `domain`, `status` (`ok`, `failed`, `blocked`), `finalUrl`, `pagesFetched`, `errors`, `scrapedAt` | One real row (run on 2026-10-18 with the quick-start input, shortened): ```json { "input": "octopus.energy", "domain": "octopus.energy", "status": "ok", "finalUrl": "https://octopus.energy/", "name": "Octopus Energy", "description": "Octopus customers pay less: Cheaper than price-cap prices, rewards for using less when the grid is stressed, and smart tariff savings for your home, car or battery", "logoUrl": "https://static.octopuscdn.com/constantine/constantine.svg", "foundingYear": null, "organizationType": "Corporation", "address": {"full": "UK House, 5th floor, 164-182 Oxford Street, London, W1D 1NN."}, "countryCode": "GB", "socialProfiles": { "linkedin": "https://www.linkedin.com/company/octopus-energy", "x": "https://x.com/octopusenergy", "youtube": "https://www.youtube.com/octopusenergy", "github": null, "tiktok": "https://www.tiktok.com/@octopusenergy" }, "contact": { "emails": ["hello@octopus.energy", "business@octopus.energy"], "phone": "0808 164 1088", "contactPageUrl": "https://octopus.energy/contact-us/" }, "signals": { "hasCareersPage": true, "careersUrl": "https://octopus.energy/careers/", "careersPlatform": "lever", "hasPricingPage": false, "hasBlog": true, "languages": ["en-gb"], "techHints": ["Next.js"], "hasLlmsTxt": false }, "pagesFetched": ["https://octopus.energy/", "https://octopus.energy/about-us/", "https://octopus.energy/contact-us/", "https://octopus.energy/careers/"], "errors": [] } ``` The **Companies** view shows the main columns side by side; every run exports to JSON, CSV, Excel or HTML. A per-site report is saved as the run's `SUMMARY` record. #### Where each field comes from Facts come from the site's schema.org markup, meta tags and its About, Contact and Careers pages, and nothing is guessed: a field the site doesn't publish is `null`. - `name`: the schema.org Organization name, else `og:site_name`, else the cleaned-up page title. - `description`: the site's meta description (falls back to the About summary). `aboutSummary` quotes the site's own sentences, or is `null` rather than an off-topic quote. - `foundingYear`: schema.org `foundingDate`, or an explicit "founded in 2014" or "Est. 1932" on the About page. Ambiguous text gives `null`. - `address` and `countryCode`: only the Organization's schema.org address or a clearly labelled "Registered office:" line. Country from the address, else from a country-code domain (.sg, .co.uk). - `contact.phone`: only from the schema.org Organization or LocalBusiness markup. - `signals.careersPlatform`: greenhouse, lever, ashby, workable, workday, smartrecruiters, bamboohr, teamtailor, recruitee, personio and others. - `signals.techHints`: Shopify, WordPress, WooCommerce, Webflow, Squarespace, Wix, Framer, Next.js, Gatsby, HubSpot, Magento and more, from platform-specific markup only. Typical fill rates across 21 readable sites in our test (SaaS, e-commerce, banks, SG and UK local businesses): name 100%, favicon 100%, logo 95%, tech hints 95%, description 90%, any social profile 86%, careers page 81%, About summary 67%, LinkedIn 57%, founding year 48%, country 48%, role emails 48%, address 38%, phone 14%, keywords 10%. #### Privacy built in Emails are kept only if they are role mailboxes on the company's own domain (`info@`, `sales@`, `press@`, `careers@` and similar). Anything that looks like a person (`jane@`, `j.smith@`, `jsmith@`, initials like `jd.sales@`) is dropped. Social links are company pages only: personal `linkedin.com/in/…` profiles, posts and share buttons are rejected. Founders' names in schema.org are never copied. If a company lists only personal addresses, `contact.emails` is empty, by design. ### How much does it cost? You pay per company profile returned with `status: "ok"`. There is no charge for Apify platform usage on top. | Row | Free and Starter | Scale | Business | |---|---|---|---| | Company profiled | $1.50 per 1,000 | $1.125 per 1,000 | $0.825 per 1,000 | Plus $0.00005 per run start. **Apify's free $5 monthly credit covers about 3,300 companies.** Free-plan runs stop at 100 company profiles each; any paid Apify plan removes the cap. **What's free:** sites that can't be read (dead domain, bot wall, timeout, queue page) and sites whose robots.txt blocks us come back as a record with the reason and are not charged; duplicates are merged; sites not reached before the run's time limit are listed in `SUMMARY` and not charged. For example, a 500-row list where 450 sites are readable costs 450 profiles. Set **Max results** to stop after a number of profiles, or **Maximum cost per run** in the run options to cap a run's spend. ### Limits, stated up front - **Own website only:** the homepage plus at most 4 more pages (About, Contact, Careers). No LinkedIn scraping and no third-party databases, so the data is only as complete as the company's own site. - **Respects robots.txt** (user agent `locaihost-company-profile`), reads one page at a time per site with 10 to 15 second timeouts, and identifies itself honestly. Sites that block automated visitors are reported as `failed`, not bypassed. - **JavaScript-only sites** that render nothing without a browser may come back with few fields: the Actor reads the HTML as served. - **Up to 2,000 domains per run**; extra ones are left out with a warning. About 15 seconds for 25 companies. - If a long list would outlast the run's time limit, the run stops starting new sites shortly before it, still succeeds, and lists the sites it didn't reach (not charged). ### Schedules Each run reads the websites live, so data is as fresh as the run. Save a list as a task and add a monthly schedule under **Schedules** in Apify Console to keep CRM records current and catch dead or redirected domains. ### Integrations: API, n8n, Make and AI agents **API.** Run it and get the rows back in one call (synchronous runs wait up to 5 minutes; use the asynchronous run endpoint for long lists): ```bash curl -X POST "https://api.apify.com/v2/acts/locaihost~company-profile/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \ -H "Content-Type: application/json" \ -d '{"domains": ["stripe.com", "monzo.com", "ninjavan.co"]}' ``` Python, with `pip install apify-client`: ```python from apify_client import ApifyClient client = ApifyClient("") run = client.actor("locaihost/company-profile").call(run_input={"domains": ["stripe.com", "monzo.com"]}) for c in client.dataset(run["defaultDatasetId"]).iterate_items(): if c["status"] == "ok": print(c["name"], c["countryCode"], c["foundingYear"], c["socialProfiles"]["linkedin"], c["signals"]["careersPlatform"]) ``` **n8n, Make, Zapier, Google Sheets, Slack, webhooks.** Apify's built-in integrations send each run's dataset wherever you need it, or into your CRM through Zapier or Make. **AI agents (MCP).** Add this Actor to Claude, Cursor or any MCP client with `https://mcp.apify.com/?tools=locaihost/company-profile`, then ask something like *"What do Monzo and Ninja Van do, when were they founded, which job board do they hire through, and what are their LinkedIn pages?"* One input, one record per company, `null` instead of guesses. ### FAQ #### How much does company enrichment by domain cost? $1.50 per 1,000 company profiles on the Free and Starter plans, less on Scale and Business. Sites that can't be read are free. Apify's free $5 monthly credit covers about 3,300 companies. #### Can I use it through the API or from Python? Yes. Use the `run-sync-get-dataset-items` call or the Python example above, or Apify's JavaScript client. Every run's data is also available as JSON, CSV or Excel from its dataset. #### Can I use it from an AI agent? Yes. Through the Apify MCP server (`https://mcp.apify.com/?tools=locaihost/company-profile`) any MCP client can pass a list of domains and read the profiles back. #### Is it legal to collect company data this way? The Actor reads only each company's own public website, as any visitor sees it, and respects robots.txt. It never logs in and uses no third-party databases. It returns company information: role mailboxes, company social accounts and the phone number from the company's own markup, never personal email addresses, personal profiles or founders' names. You are responsible for using the results lawfully, including data-protection and marketing rules where you are. #### Why are some fields empty? A field is filled only when the site publishes it. In our test of 21 readable sites, founding year and country were found on about half, and a phone number on 14%. Empty means "not published", never a guess. #### Why did a site come back as failed or blocked? `failed` means the domain doesn't resolve, the server timed out or refused the request, or it showed a bot wall (Cloudflare, Imperva, Sucuri and others) or a queue page; the record's `errors` say which. A bot wall or a 403 usually means the site is fine for people but blocks automated visitors. `blocked` means the site's robots.txt disallows our crawler, and we respect that. Neither is charged. Try again later, or give the exact homepage URL. #### Does it use AI to write the summary? No. `aboutSummary` quotes the site's own sentences, so nothing is made up. ### More from locaihost data - [LinkedIn Company Scraper](https://apify.com/locaihost/linkedin-company): industry, size band, headquarters and followers from each company's LinkedIn page, found from the same domains. - [Tech Stack & Domain Lookup](https://apify.com/locaihost/domain-intel): email provider, DMARC, DNS, hosting and a deeper tech stack for each domain. - [Website Traffic Checker](https://apify.com/locaihost/website-traffic): monthly visits and traffic sources for each company's website. - [Company KYB Check](https://apify.com/locaihost/kyb-check): legal entity identifiers, company registry records and sanctions screening for the companies you enrich. ### Did it help? If this saved you time, a quick rating on the Store helps other people find it. ### Support Something not working, or a field you need? Open an issue on the **Issues** tab: we answer issues within 24 hours. # Changelog This Actor's version history is a separate document: https://apify.com/locaihost/company-profile/changelog.md # Actor input Schema ## `domains` (type: `array`): One company per line: a domain (stripe.com) or any URL on the company's site (https://www.monzo.com/about). Duplicates are merged. Up to 2,000 per run. Each company's own website is read: homepage plus up to 4 pages such as About, Contact and Careers. ## `maxResults` (type: `integer`): Stop after this many company profiles. 0 = no limit. Sites that can't be read are listed free of charge and don't count. ## Actor input object example ```json { "domains": [ "stripe.com", "monzo.com", "ninjavan.co", "basecamp.com", "octopus.energy" ], "maxResults": 0 } ``` # Actor output Schema ## `companies` (type: `string`): One record per company (overview view). Unreadable sites appear with status failed/blocked and are not charged. ## `summary` (type: `string`): Per site: status, pages fetched and any errors. # 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 = { "domains": [ "stripe.com", "monzo.com", "ninjavan.co", "basecamp.com", "octopus.energy" ] }; // Run the Actor and wait for it to finish const run = await client.actor("locaihost/company-profile").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 = { "domains": [ "stripe.com", "monzo.com", "ninjavan.co", "basecamp.com", "octopus.energy", ] } # Run the Actor and wait for it to finish run = client.actor("locaihost/company-profile").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).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", "monzo.com", "ninjavan.co", "basecamp.com", "octopus.energy" ] }' | apify call locaihost/company-profile --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,locaihost/company-profile" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/F4z5ujamCI1daLcAn/builds/lHdLlBjuYo9wSi8iv/openapi.json