# Auto Repair Review Signals (`repairiq/auto-repair-review-signals`) Actor

Detect repair-specific CX pain, trend changes, and sales opportunities from supplied reviews.

- **URL**: https://apify.com/repairiq/auto-repair-review-signals.md
- **Developed by:** [Ryan Carter](https://apify.com/repairiq) (community)
- **Categories:** Business
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.00 / 1,000 analyzed shops

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/actors/running/actors-in-store.md#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

## Auto Repair Review Signals

Classify supplied repair-shop reviews into service themes and experience signals.

Bring reviews from a source you are entitled to use. This Actor analyzes supplied reviews; it does not scrape review platforms.

### Quick start

Paste this input into the Actor, or save it as `input.json` for the API example. Inline records with example.com URLs are fictional demonstration data. Form prefill values are examples, not defaults for empty API requests.

```json
{
  "places": [
    {
      "shopId": "demo-1",
      "shopName": "Example Auto Repair",
      "website": "https://example.com",
      "reviews": [
        {
          "text": "They never called with an update and the estimate changed.",
          "rating": 2,
          "publishedAt": "2026-07-20"
        },
        {
          "text": "Honest shop and great communication.",
          "rating": 5,
          "publishedAt": "2026-03-10"
        }
      ]
    }
  ],
  "recentWindowDays": 90,
  "baselineWindowDays": 365,
  "minReviews": 1,
  "includeEvidence": true
}
```

### Input and output

The Input tab documents every supported option and default. Supply `places` or a compatible `sourceDatasetId`. A run supports at most 10,000 supplied records. Split larger inputs into separate runs.

Usable reviews need nonblank text and a numeric rating from 1 through 5. Invalid reviews are excluded; shops below `minReviews` receive a diagnostic without a shop-analysis charge. Topic mentions alone do not establish a complaint: communication, estimate, and warranty themes require complaint wording. Classification uses phrase rules and ratings, so inspect mixed or ambiguous language before using it for outreach.

Complaint themes only use ratings of 1–3. High-star reviews containing complaints, sarcasm, attribution to another shop, and unusual wording can be missed. `unclassifiedNegativeReviewCount` counts low-rated reviews without a recognized complaint theme; inspect those reviews even when `complaintThemes` is empty. `requiresHumanReview` and `interpretationNotes` travel with exported results.

Returns shared signal envelopes: `entityId`, `entityType`, `signalType`, `severity`, `confidence`, `observedAt`, `sourceUrl`, `evidence`, and Actor-specific `payload`. Compatible envelopes are unwrapped on input; payload fields must still match this Actor’s expected input. A common envelope does not join or enrich separate observations automatically.

Complaint trends require at least three dated reviews in both the recent period and the older baseline period. Otherwise the trend is `insufficient_data`; missing period shares and the trend difference are `null`. Sample counts are included for review. Future-dated reviews do not count as recent. This minimum is a data-availability check, not a statistical significance test.

Confidence is a heuristic evidence/completeness indicator, not a calibrated probability. Inspect evidence and missing inputs before acting. Dataset exports support JSON and CSV; nested fields are available through the dataset API.

### Pricing and spending limits

Pay per event, with platform usage included. The Apify Store pricing panel shows the current prices.

- **$0.01 per analyzed shop**. One shop's supplied reviews analyzed into service and customer-experience signals. No review collection is included.
- **Startup: $0.005 per GB of allocated memory**, with a minimum of one startup event. The default memory allocation is 1 GB or less.

Diagnostics and included extra signals have no output-event charge; the startup charge still applies. Set the maximum run cost to control spending. If the remaining budget cannot cover the next event, the Actor stops and returns the results already completed. Check the run summary before assuming the entire input was processed. Fees from a separate upstream scraper are not included.

### Errors and repeat runs

Malformed or empty required input fails with an actionable error. Unsupported or insufficient records can produce free diagnostic signals or rejection counts in `OUTPUT`. Check the run status, summary, diagnostics, and billing record together; zero results does not establish that no opportunities or problems exist.

The Actor does not schedule itself. Create an Apify task and schedule after checking the initial output.

### Run it from the API

Start asynchronously to avoid request timeouts on larger inputs. Use the returned run ID to wait for completion, then download its dataset.

```bash
curl --request POST 'https://api.apify.com/v2/acts/repairiq~auto-repair-review-signals/runs' \
  --header "Authorization: Bearer $APIFY_TOKEN" \
  --header 'Content-Type: application/json' \
  --data-binary @input.json
```

```javascript
import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const input = JSON.parse(await (await import('node:fs/promises')).readFile('input.json', 'utf8'));
const run = await client.actor('repairiq/auto-repair-review-signals').call(input);
if (run.status !== 'SUCCEEDED') throw new Error('Run failed; inspect its log before using partial results.');
const dataset = client.dataset(run.defaultDatasetId);
for (let offset = 0; ; ) {
    const { items } = await dataset.listItems({ offset, limit: 1000 });
    for (const item of items) console.log(item);
    if (items.length < 1000) break;
    offset += items.length;
}
```

### Limitations and support

Bring reviews from a source you are entitled to use. This Actor analyzes supplied reviews; it does not scrape review platforms.

Use data you have permission to process, and respect source restrictions. No affiliation with the named software vendors, marketplaces, or agencies is implied. Report reproducible problems through the Actor Issues tab with a run ID and a minimal input; omit credentials and private customer data.

### Local development

Requires Node.js 22 or newer. Run `npm ci`, `npm run build`, and `npm test` from this Actor directory. Put local input in `storage/key_value_stores/default/INPUT.json`, then run `npm start`. The repository root’s `npm run verify` also checks schemas, shared copies and real entry-point smoke scenarios.

# Actor input Schema

## `places` (type: `array`):

Inline place records containing reviews or user\_reviews. Leave the sample in place to see the output shape.

## `sourceDatasetId` (type: `string`):

Optional Apify dataset containing place records.

## `recentWindowDays` (type: `integer`):

Days treated as the current comparison window.

## `baselineWindowDays` (type: `integer`):

Maximum review age used for the baseline comparison.

## `minReviews` (type: `integer`):

Skip shops below this review count.

## `includeEvidence` (type: `boolean`):

Return short matching review excerpts.

## Actor input object example

```json
{
  "places": [
    {
      "shopId": "demo-shop-1",
      "shopName": "Demo Auto Service",
      "website": "https://demo-auto-service.example",
      "reviews": [
        {
          "text": "They never called with an update and I had to chase them for three days.",
          "rating": 2,
          "publishedAt": "2026-07-20"
        },
        {
          "text": "The estimate changed without asking me first.",
          "rating": 2,
          "publishedAt": "2026-07-02"
        },
        {
          "text": "Waited a week for parts and nobody communicated.",
          "rating": 3,
          "publishedAt": "2026-06-18"
        },
        {
          "text": "Honest shop and great communication.",
          "rating": 5,
          "publishedAt": "2026-03-10"
        },
        {
          "text": "Fair price and they explained everything up front.",
          "rating": 5,
          "publishedAt": "2026-02-14"
        },
        {
          "text": "Fixed right the first time, same day.",
          "rating": 5,
          "publishedAt": "2025-12-05"
        }
      ]
    }
  ],
  "recentWindowDays": 90,
  "baselineWindowDays": 365,
  "minReviews": 5,
  "includeEvidence": true
}
```

# Actor output Schema

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

No description

## `summary` (type: `string`):

No description

## `billing` (type: `string`):

Check whether the run stopped at its spending limit.

# 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 = {
    "places": [
        {
            "shopId": "demo-shop-1",
            "shopName": "Demo Auto Service",
            "website": "https://demo-auto-service.example",
            "reviews": [
                {
                    "text": "They never called with an update and I had to chase them for three days.",
                    "rating": 2,
                    "publishedAt": "2026-07-20"
                },
                {
                    "text": "The estimate changed without asking me first.",
                    "rating": 2,
                    "publishedAt": "2026-07-02"
                },
                {
                    "text": "Waited a week for parts and nobody communicated.",
                    "rating": 3,
                    "publishedAt": "2026-06-18"
                },
                {
                    "text": "Honest shop and great communication.",
                    "rating": 5,
                    "publishedAt": "2026-03-10"
                },
                {
                    "text": "Fair price and they explained everything up front.",
                    "rating": 5,
                    "publishedAt": "2026-02-14"
                },
                {
                    "text": "Fixed right the first time, same day.",
                    "rating": 5,
                    "publishedAt": "2025-12-05"
                }
            ]
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("repairiq/auto-repair-review-signals").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 = { "places": [{
            "shopId": "demo-shop-1",
            "shopName": "Demo Auto Service",
            "website": "https://demo-auto-service.example",
            "reviews": [
                {
                    "text": "They never called with an update and I had to chase them for three days.",
                    "rating": 2,
                    "publishedAt": "2026-07-20",
                },
                {
                    "text": "The estimate changed without asking me first.",
                    "rating": 2,
                    "publishedAt": "2026-07-02",
                },
                {
                    "text": "Waited a week for parts and nobody communicated.",
                    "rating": 3,
                    "publishedAt": "2026-06-18",
                },
                {
                    "text": "Honest shop and great communication.",
                    "rating": 5,
                    "publishedAt": "2026-03-10",
                },
                {
                    "text": "Fair price and they explained everything up front.",
                    "rating": 5,
                    "publishedAt": "2026-02-14",
                },
                {
                    "text": "Fixed right the first time, same day.",
                    "rating": 5,
                    "publishedAt": "2025-12-05",
                },
            ],
        }] }

# Run the Actor and wait for it to finish
run = client.actor("repairiq/auto-repair-review-signals").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 '{
  "places": [
    {
      "shopId": "demo-shop-1",
      "shopName": "Demo Auto Service",
      "website": "https://demo-auto-service.example",
      "reviews": [
        {
          "text": "They never called with an update and I had to chase them for three days.",
          "rating": 2,
          "publishedAt": "2026-07-20"
        },
        {
          "text": "The estimate changed without asking me first.",
          "rating": 2,
          "publishedAt": "2026-07-02"
        },
        {
          "text": "Waited a week for parts and nobody communicated.",
          "rating": 3,
          "publishedAt": "2026-06-18"
        },
        {
          "text": "Honest shop and great communication.",
          "rating": 5,
          "publishedAt": "2026-03-10"
        },
        {
          "text": "Fair price and they explained everything up front.",
          "rating": 5,
          "publishedAt": "2026-02-14"
        },
        {
          "text": "Fixed right the first time, same day.",
          "rating": 5,
          "publishedAt": "2025-12-05"
        }
      ]
    }
  ]
}' |
apify call repairiq/auto-repair-review-signals --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,repairiq/auto-repair-review-signals"
        }
    }
}

```

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/BQaxT6rnmahYUtPX0/builds/mx3g9bBBvXDnRY75e/openapi.json