# Service Business Semantic Extractor (`z3n_m4nt1s/service-business-semantic-extractor`) Actor
Turn service-business pages into structured contact, offer, trust, proof, and conversion signals with a timestamped source receipt.
- **URL**: https://apify.com/z3n\_m4nt1s/service-business-semantic-extractor.md
- **Developed by:** [theCR8Fconclave SYST3MS](https://apify.com/z3n_m4nt1s) (community)
- **Categories:** Lead generation, SEO tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
$5.00 / 1,000 results
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.
- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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
## Service Business Semantic Extractor
Turn public service-business pages into structured contact, offer, proof, trust, and conversion signals. Successful extraction items include a timestamped source receipt for the fetched or supplied page.
### What it returns
Successful default-dataset items contain:
- source URL, final URL, fetch time, HTTP status, and page identity
- phone numbers, email addresses, forms, and contact links
- detected service, location, estimate, CTA, proof, trust, review, and social signals
- contact-path and evidence-readiness flags
- a SHA-256 source receipt for the fetched or supplied page
If a URL fetch fails, the Actor still emits a default-dataset item for that requested URL with this minimal failure shape:
```json
{
"url": "https://example.com/",
"ok": false,
"error": "fetch or validation error message"
}
```
Failure items do not claim page identity, extracted signals, or a source receipt because no page was successfully fetched and extracted.
### Input
Fetch one or more public pages:
```json
{
"urls": ["https://example.com/"],
"maxBytes": 900000
}
```
Or pass inline HTML from an upstream crawler:
```json
{
"pages": [{"url": "https://example.test/page", "html": "..."}]
}
```
The verified synthetic input is in `examples/sample-input.json`.
### Use cases
- public-source lead and CRM enrichment
- service-business website audit preparation
- contact-path and conversion-signal checks
- agency or operator discovery research
- evidence-backed outbound preparation
### Boundaries
Use only public pages you are permitted to fetch. Signals are extraction results, not proof of private business conditions. The Actor does not bypass authentication, paywalls, or access controls.
### Output links
The run output exposes the default dataset plus `OUTPUT.json` in the default key-value store. Schemas live in `.actor/output_schema.json` and `.actor/dataset_schema.json`.
# Actor input Schema
## `urls` (type: `array`):
HTTP/HTTPS business pages to extract.
## `pages` (type: `array`):
Optional inline HTML records. Useful when another crawler supplies HTML.
## `maxBytes` (type: `integer`):
Maximum bytes to read from each fetched URL.
## Actor input object example
```json
{
"pages": [
{
"url": "https://example.test/gulfside-roofing",
"html": "Gulfside RoofingRoof repair and installation
CallRequest a free estimateLicensed and insured. Family owned. See our testimonials and project gallery.
"
}
],
"maxBytes": 900000
}
```
# Actor output Schema
## `dataset` (type: `string`):
Structured result items from this run.
## `output` (type: `string`):
Run summary and all result items in the default key-value store.
# 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 = {
"pages": [
{
"url": "https://example.test/gulfside-roofing",
"html": "Gulfside RoofingRoof repair and installation
CallRequest a free estimateLicensed and insured. Family owned. See our testimonials and project gallery.
"
}
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("z3n_m4nt1s/service-business-semantic-extractor").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 = { "pages": [{
"url": "https://example.test/gulfside-roofing",
"html": "Gulfside RoofingRoof repair and installation
CallRequest a free estimateLicensed and insured. Family owned. See our testimonials and project gallery.
",
}] }
# Run the Actor and wait for it to finish
run = client.actor("z3n_m4nt1s/service-business-semantic-extractor").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 '{
"pages": [
{
"url": "https://example.test/gulfside-roofing",
"html": "Gulfside RoofingRoof repair and installation
CallRequest a free estimateLicensed and insured. Family owned. See our testimonials and project gallery.
"
}
]
}' |
apify call z3n_m4nt1s/service-business-semantic-extractor --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=z3n_m4nt1s/service-business-semantic-extractor",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
Download the OpenAPI definition: https://api.apify.com/v2/acts/N4itObMa1OX3s6VbR/builds/R9vrxCNGCd8aDumnJ/openapi.json