# GoodFirms Agencies & B2B Company Leads Scraper (`scrapers_lat/goodfirms-agencies-scraper`) Actor
Scrape B2B agency and company leads from GoodFirms directories: company name, services focus, city and country, hourly rate, team size, founded year, rating, review count, website and profile URL. Filter by service category and location. Export to JSON, CSV or Excel.
- **URL**: https://apify.com/scrapers\_lat/goodfirms-agencies-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** Lead generation, Business, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $17.00 / 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.
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/docs.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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
## GoodFirms Agencies & B2B Company Leads Scraper
> Turn any GoodFirms service directory into a clean list of B2B company leads. For each agency you get its name, service focus, location, hourly rate, team size, founded year, rating, reviews and website. Perfect for agency research, competitive analysis and outbound sales.
**๐ฅ [Input](https://apify.com/scrapers_lat/goodfirms-agencies-scraper/input-schema) ยท ๐ค [Output](https://apify.com/scrapers_lat/goodfirms-agencies-scraper/output-schema) ยท ๐ฐ [Pricing](https://apify.com/scrapers_lat/goodfirms-agencies-scraper/pricing) ยท โถ๏ธ [Examples](https://apify.com/scrapers_lat/goodfirms-agencies-scraper/examples)**
Agency profiles rate & team size
Ratings & reviews plus website links
JSON / CSV / Excel output formats
### What you get
Each record is one agency, ready for a lead list or a market map:
- **companyName**: the agency or company name
- **serviceCategory**: the service the agency was listed under
- **location**, **city**, **country**: where they are based
- **hourlyRate**: their hourly rate band
- **teamSize**: their employee count band
- **foundedYear**: the year they were founded
- **rating** and **reviewCount**: their score and number of client reviews
- **website**: the agency's own website
- **description**: a short summary of what they do
- **profileUrl**: a direct link to the full profile
- **sponsored**: whether the listing is a paid placement
- **observedAt**: when the record was collected
### Who is it for
| Use case | Who benefits |
|---|---|
| Outbound sales | Teams selling tools and services to agencies |
| Agency research | Buyers shortlisting vendors by price and size |
| Competitive analysis | Agencies benchmarking rivals in their category |
| Market mapping | Analysts sizing a category by provider |
### How to use it
1. Add one or more **service categories** (for example `mobile app development`, `web design`, `digital marketing` or `software development`). One run scrapes them all.
2. Optionally add **locations** (country names or 2-letter codes like `us`, `gb`, `in`) to focus on specific markets.
3. Set **Max agencies** to cap how many to collect.
4. Run it. Export as JSON, CSV or Excel, or pull it through the Apify API.
### Frequently Asked Questions
**What categories can I search?**
Any agency service category, such as mobile app development, web design, digital marketing, ecommerce development, software testing, artificial intelligence and more. You can also paste a directory URL.
**Can I filter by country?**
Yes. Add one or more locations and the actor focuses on agencies in those countries.
**Do I get the agency's own website?**
Yes, when the listing exposes it, so you can reach the company directly rather than only through the directory.
**Do I pay for empty runs?**
No. You are only charged per real agency record returned. A run that finds nothing costs nothing.
**How fresh is the data?**
Listings, rates and ratings are read live at run time (see observedAt).
### Related scrapers
- [Clutch Agencies & B2B Company Leads Scraper](https://apify.com/scrapers_lat/clutch-agencies-scraper)
- [DesignRush Agencies Scraper](https://apify.com/scrapers_lat/designrush-agencies-scraper)
- [TheOrg Decision Makers & Company Contacts Scraper](https://apify.com/scrapers_lat/theorg-decision-makers-scraper)
### More scrapers at scrapers.lat
This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for public platforms: finance, news, real estate, jobs, e-commerce and government data. Browse the full catalog or ask us for a custom scraper at [scrapers.lat](https://scrapers.lat).
---
> This actor is an independent tool and has no affiliation with GoodFirms. It only accesses publicly available directory data. Use the results in accordance with the source's terms.
# Actor input Schema
## `searchQueries` (type: `array`):
One or more agency service categories to scrape. Use plain names like "mobile app development", "web design", "digital marketing", "software development", "ecommerce development", "seo", "web development", "ui ux design", "branding", "it services", "cybersecurity", "cloud consulting", "blockchain", "artificial intelligence", "staff augmentation". You can also paste a full GoodFirms directory URL or its directory slug. One run scrapes every category in the list.
## `locations` (type: `array`):
Optional list of countries to filter agencies by. Use a country name ("United States", "United Kingdom", "India", "Canada", "Australia") or a 2-letter country code (us, gb, in, ca, au). Leave empty to get agencies from every country. Each category is scraped for each location.
## `maxAgencies` (type: `integer`):
Maximum number of agencies to collect across the whole run.
## Actor input object example
```json
{
"searchQueries": [
"mobile app development"
],
"locations": [
"United States"
],
"maxAgencies": 40
}
````
# Actor output Schema
## `results` (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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"searchQueries": [
"mobile app development"
],
"locations": [
"United States"
],
"maxAgencies": 40
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/goodfirms-agencies-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`๐พ 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);
});
// ๐ Want to learn more ๐? Go to โ 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 = {
"searchQueries": ["mobile app development"],
"locations": ["United States"],
"maxAgencies": 40,
}
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/goodfirms-agencies-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("๐พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# ๐ Want to learn more ๐? Go to โ https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"searchQueries": [
"mobile app development"
],
"locations": [
"United States"
],
"maxAgencies": 40
}' |
apify call scrapers_lat/goodfirms-agencies-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/goodfirms-agencies-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "GoodFirms Agencies & B2B Company Leads Scraper",
"description": "Scrape B2B agency and company leads from GoodFirms directories: company name, services focus, city and country, hourly rate, team size, founded year, rating, review count, website and profile URL. Filter by service category and location. Export to JSON, CSV or Excel.",
"version": "0.1",
"x-build-id": "Jbuq6gcV7GdI6wl97"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrapers_lat~goodfirms-agencies-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrapers_lat-goodfirms-agencies-scraper",
"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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrapers_lat~goodfirms-agencies-scraper/runs": {
"post": {
"operationId": "runs-sync-scrapers_lat-goodfirms-agencies-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrapers_lat~goodfirms-agencies-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrapers_lat-goodfirms-agencies-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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",
"properties": {
"searchQueries": {
"title": "Service Categories",
"type": "array",
"description": "One or more agency service categories to scrape. Use plain names like \"mobile app development\", \"web design\", \"digital marketing\", \"software development\", \"ecommerce development\", \"seo\", \"web development\", \"ui ux design\", \"branding\", \"it services\", \"cybersecurity\", \"cloud consulting\", \"blockchain\", \"artificial intelligence\", \"staff augmentation\". You can also paste a full GoodFirms directory URL or its directory slug. One run scrapes every category in the list.",
"items": {
"type": "string"
}
},
"locations": {
"title": "Locations (optional)",
"type": "array",
"description": "Optional list of countries to filter agencies by. Use a country name (\"United States\", \"United Kingdom\", \"India\", \"Canada\", \"Australia\") or a 2-letter country code (us, gb, in, ca, au). Leave empty to get agencies from every country. Each category is scraped for each location.",
"items": {
"type": "string"
}
},
"maxAgencies": {
"title": "Max Agencies To Scrape",
"minimum": 1,
"maximum": 100000,
"type": "integer",
"description": "Maximum number of agencies to collect across the whole run."
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```