# FindLaw Scraper - Low-cost💲🔥⚖️🇺🇸 (`delectable_incubator/findlaw-scraper-low-cost`) Actor

Scrape lawyer and law firm profiles from FindLaw ⚖️🇺🇸 with a powerful legal directory scraper. Extract attorney names, law firm details, ratings, reviews, practice areas, locations, phone numbers, websites, emails & URLs. Ideal for legal market research, lead generation and legal AI datasets 📊🚀

- **URL**: https://apify.com/delectable\_incubator/findlaw-scraper-low-cost.md
- **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community)
- **Categories:** Lead generation, Jobs, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.00005 / actor start

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.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/platform/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

<p align="center">
<img src="https://i.ibb.co/jkNS73wX/readme.png" alt="FindLaw Lawyer Scraper" width="100%">
</p>

---

## FindLaw Lawyer Scraper ⚖️📊🇺🇸

The FindLaw Lawyer Scraper is a powerful and scalable Apify Actor designed to extract structured lawyer and law firm listings directly from FindLaw search result pages.

It enables legal market research, lawyer lead generation, law firm prospecting, CRM enrichment, competitive intelligence, legal analytics, AI training datasets, and structured attorney database creation from one of the largest legal directories in the United States.

---

### 🎯 What This Scraper Does

Simply provide one or more FindLaw search URLs and the scraper handles everything automatically.

✅ Extracts lawyer and law firm profiles from FindLaw

✅ Supports bulk URL scraping

✅ Automatically processes search result pages

✅ Handles pagination automatically

✅ Applies maxItemsPerUrl limits

✅ Extracts lawyer ratings and review counts

✅ Captures law firm information

✅ Collects contact information and profile URLs

✅ Extracts practice areas and locations

✅ Generates clean and structured datasets

✅ Ready for lead generation and legal analytics workflows

✅ Export-ready output format

---

### 📊 Data Extracted

#### ⚖️ Lawyer & Law Firm Information

| Field                     | Description                      |
| ------------------------- | -------------------------------- |
| 🆔 lawyerId               | Unique lawyer profile identifier |
| 🏢 firmName               | Law firm name                    |
| 🖼️ firmImage             | Firm logo or image               |
| ⭐ rating                  | Lawyer or firm rating            |
| 💬 reviewCount            | Number of reviews                |
| ⚖️ practiceArea           | Legal practice area              |
| 📍 location               | City and state                   |
| 📝 presentationText       | Lawyer or firm description       |
| 🎁 offersFreeConsultation | Free consultation availability   |
| 🏆 superLawyers           | Super Lawyers recognition        |
| ⭐ attorneyRatings         | Attorney rating badges           |
| 📅 yearsExperience        | Years of experience              |
| 📞 phoneNumber            | Contact phone number             |
| 🌐 websiteUrl             | Official website                 |
| 📧 emailUrl               | Email contact URL                |
| 🔗 profileUrl             | FindLaw profile URL              |
| 🌐 sourceUrl              | Source search URL                |

---

### 🛠 How to Use

#### 1️⃣ Configure Input

Provide one or multiple FindLaw search URLs:

````

{
"urls": \[
"https://lawyers.findlaw.com/personal-injury-plaintiff/california/los-angeles/",
"https://lawyers.findlaw.com/family-law/california/san-diego/"
],
"maxItemsPerUrl": 50
}

```

#### 2️⃣ Run the Actor

• Loads FindLaw search result pages

• Processes lawyer and law firm listings automatically

• Extracts ratings, reviews, and experience data

• Collects contact information

• Captures practice areas and locations

• Applies maxItemsPerUrl limits

• Stops automatically when limits are reached

#### 3️⃣ Export the Dataset

Download your results in multiple formats:

✅ JSON

✅ CSV

✅ Excel

✅ XML

✅ HTML

---

### ⚙️ Input Configuration

#### 📥 Input Example

```

{
"urls": \[
"https://lawyers.findlaw.com/personal-injury-plaintiff/california/los-angeles/",
"https://lawyers.findlaw.com/family-law/california/san-diego/"
],
"maxItemsPerUrl": 50
}

```

#### Input Fields

| Field          | Type    | Description                                                   |
| -------------- | ------- | ------------------------------------------------------------- |
| urls           | array   | List of FindLaw search URLs                                   |
| maxItemsPerUrl | integer | Maximum number of profiles to collect per URL (0 = unlimited) |

---

### 📤 Output Example

```

{
"lawyerId": "lawyer-1234235",
"firmName": "X & Associates",
"rating": 4.8,
"reviewCount": 124,
"practiceArea": "Personal Injury",
"location": "Los Angeles, CA",
"yearsExperience": 18,
"phoneNumber": "(310) 555-1234",
"websiteUrl": "https://www.xlaw.com",
"profileUrl": "https://lawyers.findlaw.com/profile/view/12345323",
"sourceUrl": "https://lawyers.findlaw.com/personal-injury-plaintiff/california/los-angeles/"
}

````

---

### 📊 Output Explanation

| Use Case                    | Description                                |
| --------------------------- | ------------------------------------------ |
| ⚖️ Legal Lead Generation    | Build attorney and law firm prospect lists |
| 📊 Market Research          | Analyze lawyer ratings and competition     |
| 🏢 CRM Enrichment           | Enrich lawyer and law firm databases       |
| 🤖 AI & NLP Projects        | Create structured legal datasets           |
| 📈 Competitive Intelligence | Monitor legal markets and firms            |
| 🔄 Automation Pipelines     | Feed legal data into workflows             |

---

### 🌍 Why Use This Scraper?

⚖️ Discover lawyers and law firms at scale

📊 Analyze ratings, reviews, and market presence

🎯 Build legal outreach and prospecting databases

📍 Scrape any FindLaw practice area or location

⚡ Fast and automated extraction

🤖 Automation-ready output

📦 Bulk URL scraping support

🧠 Ideal for legal researchers, marketers, recruiters, consultants, and legal tech companies

🚀 Scalable for both small and enterprise workloads

---

### ❓ FAQ

#### How does this scraper work?

The scraper loads FindLaw search result pages and extracts structured lawyer and law firm information including ratings, reviews, locations, practice areas, experience, and contact details.

#### Can I scrape multiple searches in one run?

Yes. You can provide multiple search URLs inside the urls array.

#### Does the scraper collect lawyer ratings?

Yes. Ratings, review counts, and attorney badges are collected whenever available.

#### Can I scrape different practice areas?

Yes. Any FindLaw search page can be used including Personal Injury, Family Law, Criminal Defense, Immigration, Employment Law, and more.

#### Can I monitor lawyers over time?

Yes. You can schedule recurring Apify runs to track updates and new listings.

#### Is the data collected live?

Yes. Data is extracted directly from FindLaw during every run.

#### What export formats are supported?

JSON, CSV, Excel, XML, and HTML.

#### Can I use the extracted data commercially?

Yes. The extracted data can be used for analytics, lead generation, CRM enrichment, research, and automation.

#### What happens if the scraper fails?

The Actor includes retry mechanisms and automated error handling to improve reliability.

#### How long does a run take?

Most extractions complete within minutes depending on the number of URLs and requested results.

---

### 🚀 How to Use

1️⃣ Sign up — Create a free Apify account

2️⃣ Find the tool — Search for "FindLaw Lawyer Scraper" in the Apify Store

3️⃣ Configure URLs — Add one or multiple FindLaw search URLs

4️⃣ Run it — Start the Actor and wait for extraction

5️⃣ Export data — Download results in JSON, CSV, Excel, XML, or HTML

---

### ⚠️ Disclaimer

This tool is an independent solution and is not affiliated with, endorsed by, or sponsored by FindLaw.

---

### 💸 Pricing

This scraper runs on a **pay-per-result pricing model**.

You only pay for successfully extracted records.

💳 **Price:** $0.99 / 1,000 results

---

### Related Actors

If you're interested in other Legal, Lead Generation, Company, Jobs, Healthcare, Real Estate, Research, and Analytics scraping solutions, explore more tools:

(Coming soon)

---

### 📬 Support

⭐⭐⭐⭐⭐ Leave a 5-star rating if you like this tool

---

### 🌍 PrimeScrape

Built for scalable web data extraction & automation.

Contact us for custom scraping solutions or enterprise requests via Apify or by email.

# Actor input Schema

## `target_urls` (type: `array`):

List of FindLaw search URLs to scrape. One URL per entry. Example: https://lawyers.findlaw.com/personal-injury-plaintiff/california/los-angeles/
## `maxitems` (type: `integer`):

Limits how many lawyer profiles will be scraped PER URL

## Actor input object example

```json
{
  "target_urls": [
    "https://lawyers.findlaw.com/personal-injury-plaintiff/california/los-angeles/",
    "https://lawyers.findlaw.com/criminal-defense/illinois/chicago/"
  ],
  "maxitems": 50
}
````

# Actor output Schema

## `overview` (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 = {
    "target_urls": [
        "https://lawyers.findlaw.com/personal-injury-plaintiff/california/los-angeles/",
        "https://lawyers.findlaw.com/criminal-defense/illinois/chicago/"
    ],
    "maxitems": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("delectable_incubator/findlaw-scraper-low-cost").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 = {
    "target_urls": [
        "https://lawyers.findlaw.com/personal-injury-plaintiff/california/los-angeles/",
        "https://lawyers.findlaw.com/criminal-defense/illinois/chicago/",
    ],
    "maxitems": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("delectable_incubator/findlaw-scraper-low-cost").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 '{
  "target_urls": [
    "https://lawyers.findlaw.com/personal-injury-plaintiff/california/los-angeles/",
    "https://lawyers.findlaw.com/criminal-defense/illinois/chicago/"
  ],
  "maxitems": 50
}' |
apify call delectable_incubator/findlaw-scraper-low-cost --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=delectable_incubator/findlaw-scraper-low-cost",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "FindLaw Scraper - Low-cost💲🔥⚖️🇺🇸",
        "description": "Scrape lawyer and law firm profiles from FindLaw ⚖️🇺🇸 with a powerful legal directory scraper. Extract attorney names, law firm details, ratings, reviews, practice areas, locations, phone numbers, websites, emails & URLs. Ideal for legal market research, lead generation and legal AI datasets 📊🚀",
        "version": "0.0",
        "x-build-id": "1gBfsxeYanRB3gI6i"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/delectable_incubator~findlaw-scraper-low-cost/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-delectable_incubator-findlaw-scraper-low-cost",
                "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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/delectable_incubator~findlaw-scraper-low-cost/runs": {
            "post": {
                "operationId": "runs-sync-delectable_incubator-findlaw-scraper-low-cost",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/delectable_incubator~findlaw-scraper-low-cost/run-sync": {
            "post": {
                "operationId": "run-sync-delectable_incubator-findlaw-scraper-low-cost",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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",
                "required": [
                    "target_urls"
                ],
                "properties": {
                    "target_urls": {
                        "title": "Target URLs 🔗",
                        "type": "array",
                        "description": "List of FindLaw search URLs to scrape. One URL per entry. Example: https://lawyers.findlaw.com/personal-injury-plaintiff/california/los-angeles/",
                        "items": {
                            "type": "string"
                        }
                    },
                    "maxitems": {
                        "title": "Maximum number of lawyers to scrape per URL 🔢",
                        "type": "integer",
                        "description": "Limits how many lawyer profiles will be scraped PER URL",
                        "default": 50
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```
