# Lookalike Company Finder (`mambalabs/lookalike-company-finder`) Actor

Find companies similar to your best customers or a competitor. Enter seed domains and get lookalike companies ranked by a 0 to 100 similarity score, with the evidence: shared keywords, search mentions, comparison pages, tools, and optional business model, Reddit, and marketplace checks.

- **URL**: https://apify.com/mambalabs/lookalike-company-finder.md
- **Developed by:** [Mamba Labs](https://apify.com/mambalabs) (community)
- **Categories:** Lead generation, Automation, AI
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $4.25 / 1,000 lookalike companies

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

## Lookalike Company Finder

Find companies similar to your best customers or to a competitor. Enter one to ten seed company domains and get lookalike companies ranked by a 0 to 100 similarity score, with the evidence behind each score: the distinctive words their homepage shares with the seed, how often they came up in the seed's "alternatives", "vs", and "competitors" searches, whether a comparison page or list names them, and the tools on their site. Optional checks add a business model match, Reddit co-mentions, and shared app marketplace listings. Rows are flat, so they export to CSV or drop into a Clay table.

### Features

- **Seeds in, companies out.** One to ten seed domains per run, up to 100 lookalikes, best first.
- **Evidence on every row.** `score_breakdown_json` shows the points from each part, so you can see why a company ranks where it does.
- **Candidates from comparison searches.** Search result pages for "<seed> alternatives", "<seed> vs", and "<seed> competitors", plus the products that list articles name ("1. Avoma, 2. Clari"), matched to their own sites.
- **Content sites removed.** Review sites, list articles, media, and social networks are never returned as a lookalike.
- **Optional business model match.** Runs Mamba Labs Website Phrase and Business Model Classifier on the seeds and the top candidates.
- **Optional Reddit and marketplace evidence.** Runs Mamba Labs B2B Reddit Conversation Monitor and Integration and Marketplace Presence Mapper.

### How it reads its sources

Search result pages from Bing through the Apify proxy, with Google through the Apify GOOGLE_SERP proxy when Bing returns fewer than 3 results that name the seed. One homepage read per seed and per candidate, direct first and through the Apify proxy when a site refuses. robots.txt is read once per host and checked before every homepage request. No API key, no login, and no other developer's actor. The optional checks run three Mamba Labs actors as child runs from your Apify account.

### Input

| Field | Type | Default | What it does |
|---|---|---|---|
| `seed_domains` | array | | One to ten seed company domains |
| `seed_domain` | string | | One seed domain, for a Clay column |
| `max_results` | string | `25` | Lookalikes returned, 1 to 100 |
| `min_score` | string | `20` | Only companies scoring at least this |
| `use_classifier` | string | `true` | Business model check on the seeds and top candidates (child run, see Pricing) |
| `classify_top_n` | string | `15` | Top candidates the business model check reads, 1 to 50 |
| `use_reddit` | string | `false` | Reddit co-mentions (child run, see Pricing) |
| `use_marketplaces` | string | `false` | Shared app marketplace listings (child run, see Pricing) |
| `exclude_domains` | array | | Domains never to return |
| `max_charge_usd` | string | | Stop before a row would pass this amount |

Every field also accepts text, as Clay sends it: `"true"`, `"25"`, or a comma separated list.

### Output

| Field | Example |
|---|---|
| `rank`, `company_domain`, `company_name` | `1`, `saleshandy.com`, `Saleshandy` |
| `similarity_score`, `score_breakdown_json` | `41`, `{"words":16,"search":25,"named":0,"tech":0,"model":0,"reddit":0,"market":0}` |
| `found_via`, `search_mentions`, `named_in_comparison` | `["serp_alternatives","serp_vs"]`, `3`, `false` |
| `shared_keywords`, `shared_tech`, `tech_detected` | `["outreach","cold","email","deliverability"]` |
| `homepage_title`, `homepage_description`, `has_pricing_page`, `has_demo_or_trial` | |
| `business_model`, `b2b_or_b2c`, `business_model_match` | from the business model check |
| `reddit_comention`, `marketplaces`, `shared_marketplaces` | from the optional checks |
| `row_status`, `error_reason`, `billable_events_json` | `ok`, `null`, `{"lookalike-company":1}` |

The score: shared words up to 35 points, search mentions up to 25, named in a comparison 15, shared tools up to 10, business model match 10, Reddit co-mention 5, shared marketplaces up to 5. A part not measured scores 0. One free seed summary row per run lists candidates found and read, the evidence used, and the child run IDs. The run summary (key-value store record `RUN_SUMMARY`) lists searches, requests, and robots.txt as read per host.

### Pricing

Pay per event. You pay only these events; the Apify platform and proxy costs of this actor's own run, search pages included, are paid by Mamba Labs.

| Event | Free plan | Bronze | Silver | Gold |
|---|---|---|---|---|
| Lookalike company (`lookalike-company`): one company returned | $0.005 | $0.00475 | $0.0045 | $0.00425 |
| Actor start (`apify-actor-start`), once per run | $0.0005 | $0.0005 | $0.0005 | $0.0005 |

Free rows: the seed summary row, no results rows, and error rows. On the Apify free plan the actor stops at 1.50 USD of evaluation a month (about 300 lookalike companies); any paid Apify plan removes that cap.

The optional checks start Mamba Labs actors from your Apify account, and Apify charges you their own prices beside the ones above:

- Compare business models (on by default): Website Phrase and Business Model Classifier, one `domain-classified` event per seed and candidate checked (0.0045 USD each on its Free plan price as of 2026-10-21) plus its start event. With one seed and `classify_top_n` 15, about 0.07 USD.
- Add Reddit co-mentions: B2B Reddit Conversation Monitor, up to 25 thread rows and 1 summary row per seed (0.0018 and 0.003 USD each on its Free plan price), about 0.05 USD per seed.
- Add marketplace overlap: Integration and Marketplace Presence Mapper, one `listing-found` event per marketplace listing found (0.002 USD each on its Free plan price).

Example: one seed with 25 lookalikes and the business model check costs about 0.126 USD here plus about 0.07 USD for the classifier.

### Usage examples

#### Apify Console or API

```json
{ "seed_domains": ["smartlead.ai", "instantly.ai"], "max_results": "25" }
```

```json
{ "seed_domains": ["gong.io"], "use_classifier": "true", "use_marketplaces": "true", "exclude_domains": ["mycompany.com"] }
```

#### Clay

Add an Apify column, send a customer domain as `seed_domain`, and read `company_domain`, `similarity_score`, and `shared_keywords` from the rows. Sort by `similarity_score` and filter on `has_pricing_page` to keep product companies.

#### MCP

The MCP server `@mambalabsdev/mcp-lookalike-company-finder` exposes this actor as a tool for Claude and other MCP clients.

### Error handling

| Situation | What you get |
|---|---|
| No search page can be read | One free seed summary row with `row_status` `blocked` |
| No candidate reaches the minimum score | One free seed summary row with `row_status` `no_results` |
| A candidate homepage refuses or is down | That candidate is left out |
| A child run fails | Its score part stays 0, the seed summary names the child, and the run goes on |
| Max charge reached | The run stops before the next billable row and says why in the status message |

### Limitations

- Candidates come from comparison searches. A company that no "alternatives", "vs", or "competitors" page names, and no list article lists, is not found. More seeds from the same market find more.
- Similarity reads one homepage per company: the title, the description, and the main headings. A company whose homepage says little scores low on words.
- Products named only in list snippets are matched to the common domains for the name (name.com, name.io, name.ai, and a few more); a product on another domain is not matched.
- Search engines return different pages from day to day, so two runs on the same seeds can rank a few companies differently.

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Built by [Mamba Labs](https://apify.com/mambalabs?fpr=mamba).

# Actor input Schema

## `seed_domains` (type: `array`):

One to ten company domains to find lookalikes for, for example smartlead.ai. Several seeds from one market sharpen the ranking.

## `seed_domain` (type: `string`):

One seed domain, for a Clay column. Used together with Seed company domains when both are given.

## `max_results` (type: `string`):

Companies returned, best first, 1 to 100. Each one is billed.

## `min_score` (type: `string`):

Only return companies scoring at least this, 0 to 100.

## `use_classifier` (type: `string`):

Yes: run Mamba Labs Website Phrase and Business Model Classifier on the seeds and the top candidates, and score a match on business model and B2B or B2C side. Apify charges that actor's own per domain price to your account.

## `classify_top_n` (type: `string`):

How many top candidates the business model check reads, 1 to 50.

## `use_reddit` (type: `string`):

Yes: run Mamba Labs B2B Reddit Conversation Monitor on each seed (25 threads) and score candidates that Reddit threads name as competitors. Apify charges that actor's own per row prices to your account.

## `use_marketplaces` (type: `string`):

Yes: run Mamba Labs Integration and Marketplace Presence Mapper on the seeds and the top candidates, and score shared app marketplace listings. Apify charges that actor's own per listing price to your account.

## `exclude_domains` (type: `array`):

Domains never to return, for example your own and your current customers.

## `max_charge_usd` (type: `string`):

Stop before a row would push this run past this amount. Empty: no limit beyond the one you set in Apify. Child runs are billed by their own actors.

## `source_tag` (type: `string`):

Internal attribution tag for published tasks. Leave empty.

## Actor input object example

```json
{
  "seed_domains": [
    "smartlead.ai"
  ],
  "max_results": "10",
  "min_score": "20",
  "use_classifier": "false",
  "classify_top_n": "15",
  "use_reddit": "false",
  "use_marketplaces": "false"
}
```

# Actor output Schema

## `results` (type: `string`):

No description

## `run_summary` (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 = {
    "seed_domains": [
        "smartlead.ai"
    ],
    "max_results": "10",
    "use_classifier": "false"
};

// Run the Actor and wait for it to finish
const run = await client.actor("mambalabs/lookalike-company-finder").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 = {
    "seed_domains": ["smartlead.ai"],
    "max_results": "10",
    "use_classifier": "false",
}

# Run the Actor and wait for it to finish
run = client.actor("mambalabs/lookalike-company-finder").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 '{
  "seed_domains": [
    "smartlead.ai"
  ],
  "max_results": "10",
  "use_classifier": "false"
}' |
apify call mambalabs/lookalike-company-finder --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,mambalabs/lookalike-company-finder"
        }
    }
}
```

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 <APIFY_API_TOKEN>` 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/e2O426WBAbLLQL4Z2/builds/agfLGMl2JNj9FonXg/openapi.json