Makerhook
Use Case

Brand Monitoring

Monitor brand mentions, reviews, and social media for reputation management. Stay on top of what customers are saying about your brand.

MarketingPRCustomer SuccessHospitality

Key Benefits

  • Track brand mentions
  • Monitor customer reviews
  • Detect reputation issues
  • Analyze sentiment trends
  • Benchmark against competitors
99.9%
Success rate
<2s
Avg response
230+
Scrapers available
99.9%
Uptime
<2s
Response time
24/7
Support
The Problem

Brand Monitoring without the right tools is a headache

Building brand monitoring systems from scratch is time-consuming and error-prone. Here's what teams typically struggle with:

Mentions are everywhere

Brand conversations happen across social media, forums, reviews, and news sites.

Sentiment is complex

Understanding whether mentions are positive, negative, or neutral requires context.

Response time matters

Negative reviews and complaints need quick responses, but manual monitoring is slow.

Competitive blind spots

Without systematic monitoring, you miss important competitor mentions and campaigns.

Historical context is lost

Point-in-time monitoring doesn't show trends or patterns over time.

Reports are manual

Compiling brand health reports for stakeholders takes hours of manual work.

Don't waste weeks building infrastructure. Focus on what matters—your business.

Makerhook handles all of this for you

Quick Start for Brand Monitoring

Simple integration in any language

1import requests
2
3# Brand Monitoring with Makerhook
4def get_brand_monitoring_data():
5 response = requests.get(
6 url="https://api.makerhook.com/v1/scraper/twitter",
7 params={
8 "url": "TARGET_URL"
9 },
10 headers={
11 "x-api-key": "YOUR_API_KEY"
12 }
13 )
14
15 data = response.json()
16 print("Status:", response.status_code)
17 print("Data:", data)
18
19 # Process for brand monitoring
20 return data
21
22get_brand_monitoring_data()
Response200 OK
{
"success": true,
"request_id": "req_6kaogs8u",
"credits_used": 1,
"data": {
"username": "example_name",
"followers": 15420,
"following": "example_following",
"tweets_count": "example_tweets_count",
"tweet_text": "example_tweet_text",
"likes": "example_likes"
}
}

All responses return clean, structured JSON data ready to use in your application.

How It Works

Brand Monitoring in 4 simple steps

Go from zero to production in minutes, not weeks

1

Choose your scrapers

Select from 230+ scrapers optimized for brand monitoring. We recommend starting with twitter, reddit, trustpilot.

2

Make your first API call

Use our simple REST API to request data. No complex setup, no infrastructure to manage. Just a single HTTP request.

3

Receive structured data

Get clean, normalized JSON responses in milliseconds. Data is ready to use—no parsing or cleaning required.

4

Scale your workflow

Automate brand monitoring with scheduled jobs, webhooks, and batch processing. Handle millions of requests without infrastructure headaches.

Comparison

With vs Without Makerhook

See the difference in your brand monitoring workflow

DIY Scraping
With Makerhook
Time to first dataDays to weeks5 minutes
InfrastructureProxies, servers, browsersOne API call
MaintenanceConstant updates neededZero maintenance
Anti-bot handlingTrial and errorBuilt-in bypass
Data formatRaw HTML to parseClean JSON
Success rate60-80%99.9%
Our Solution

Everything you need for brand monitoring

Makerhook gives you reliable data extraction with enterprise-grade infrastructure

Global Coverage

Access data from any region with our worldwide proxy network. Get localized results for accurate brand monitoring.

Real-time Data

Get fresh data in milliseconds. Perfect for time-sensitive brand monitoring that requires up-to-date information.

Enterprise Security

SOC 2 compliant infrastructure with encrypted data transfer. Your brand monitoring data is safe with us.

Developer Experience

Built for developers, by developers

Everything you need to build brand monitoring into your product

Comprehensive documentation

Detailed guides, API reference, and examples to get you started quickly with brand monitoring.

Code samples in every language

Python, JavaScript, PHP, Go, Ruby, and more. Copy-paste ready code for your stack.

Webhooks & async processing

Handle large-scale brand monitoring with async callbacks and batch processing.

Expert support

Real engineers who understand brand monitoring. Fast, helpful responses.

Ready to build brand monitoring?

Get access to free API credits and start extracting data in minutes. No credit card required.