Competitor Content Analysis API - Analyze Competitor Strategies

Content Strategy Needs Data

Creating content blindly wastes resources. You need to know what topics resonate with your audience, what's working for competitors, and where the gaps are.

Manual competitor analysis is time-consuming and often incomplete. You need automated content intelligence to stay competitive.

WebScraping.AI Solution

Content Inventory: Catalog competitor blog posts, guides, and resources
Topic Analysis: Understand what topics competitors cover
Messaging Intel: Extract value propositions and positioning
Publication Patterns: Track content frequency and timing

Content Intelligence Features

Deep insights into competitor content strategies

Blog Analysis

Catalog competitor blog posts, topics, and publication frequency.

Topic Mapping

Identify content themes and keyword targets.

Messaging Analysis

Extract and compare value propositions and CTAs.

Gap Analysis

Find topics competitors cover that you don't.

Code Examples

Analyze competitor content with AI

Analyze a competitor’s homepage messaging

curl -G "https://api.webscraping.ai/ai/question" \
  --data-urlencode "api_key=YOUR_API_KEY" \
  --data-urlencode "url=https://competitor.com" \
  --data-urlencode "question=What is this company's main value proposition? Who is their target customer? What are their key differentiators? What CTAs do they use?"

# pip install webscraping_ai
# https://pypi.org/project/webscraping-ai/
from webscraping_ai import Client

client = Client(api_key="YOUR_API_KEY")
answer = client.question(
    "https://competitor.com",
    question="What is this company's main value proposition? Who is their target customer? What are their key differentiators? What CTAs do they use?",
)
print(answer)

// npm install webscraping-ai
// https://www.npmjs.com/package/webscraping-ai
import { WebScrapingAI } from 'webscraping-ai';

const client = new WebScrapingAI({ apiKey: 'YOUR_API_KEY' });
const answer = await client.question({
  url: 'https://competitor.com',
  question: 'What is this company's main value proposition? Who is their target customer? What are their key differentiators? What CTAs do they use?',
});
console.log(answer);

<?php
// composer require webscraping-ai/webscraping-ai-php
// https://packagist.org/packages/webscraping-ai/webscraping-ai-php
require 'vendor/autoload.php';

use WebScrapingAI\Client;

$client = new Client('YOUR_API_KEY');
$answer = $client->question(
    'https://competitor.com',
    'What is this company's main value proposition? Who is their target customer? What are their key differentiators? What CTAs do they use?',
);
echo $answer;

# gem install webscraping_ai
# https://rubygems.org/gems/webscraping_ai
require 'webscraping_ai'

client = WebScrapingAI::Client.new(api_key: 'YOUR_API_KEY')
answer = client.question(
  'https://competitor.com',
  question: 'What is this company's main value proposition? Who is their target customer? What are their key differentiators? What CTAs do they use?'
)
puts answer

// go get github.com/webscraping-ai/webscraping-ai-go/v4
// https://pkg.go.dev/github.com/webscraping-ai/webscraping-ai-go/v4
package main

import (
    "context"
    "fmt"

    webscrapingai "github.com/webscraping-ai/webscraping-ai-go/v4"
)

func main() {
    client, _ := webscrapingai.NewClient(&webscrapingai.Config{APIKey: "YOUR_API_KEY"})
    answer, _ := client.Question(context.Background(), &webscrapingai.QuestionOptions{
        URL:      "https://competitor.com",
        Question: "What is this company's main value proposition? Who is their target customer? What are their key differentiators? What CTAs do they use?",
    })
    fmt.Println(answer)
}

// Maven: ai.webscraping:webscraping-ai:4.0.0
// https://central.sonatype.com/artifact/ai.webscraping/webscraping-ai
import ai.webscraping.Client;
import ai.webscraping.Config;
import ai.webscraping.option.QuestionOptions;

Client client = new Client(Config.builder().apiKey("YOUR_API_KEY").build());
String answer = client.question(QuestionOptions.builder()
    .url("https://competitor.com")
    .question("What is this company's main value proposition? Who is their target customer? What are their key differentiators? What CTAs do they use?")
    .build());
System.out.println(answer);

// dotnet add package WebScrapingAI
// https://www.nuget.org/packages/WebScrapingAI
using WebScrapingAI;

var client = new WebScrapingAIClient(new WebScrapingAIClientOptions { ApiKey = "YOUR_API_KEY" });
var answer = await client.QuestionAsync(new QuestionRequest {
    Url = "https://competitor.com",
    Question = "What is this company's main value proposition? Who is their target customer? What are their key differentiators? What CTAs do they use?",
});
Console.WriteLine(answer);

Extract blog inventory for content gap analysis

curl -G "https://api.webscraping.ai/ai/fields" \
  --data-urlencode "api_key=YOUR_API_KEY" \
  --data-urlencode "url=https://competitor.com/blog" \
  --data-urlencode "fields[recent_posts]=Array of recent blog posts with title, date, and topic/category" \
  --data-urlencode "fields[main_topics]=List of main content themes or categories" \
  --data-urlencode "fields[post_frequency]=How often they publish new content" \
  --data-urlencode "fields[content_types]=Types of content (how-to guides, case studies, etc.)"
# Response:
# {
#   "recent_posts": [
#     {"title": "10 Tips for...", "date": "Jan 5, 2025", "topic": "Guides"}
#   ],
#   "main_topics": ["Product Updates", "Industry Insights", "How-To Guides"],
#   "post_frequency": "2-3 posts per week",
#   "content_types": ["Blog posts", "Case studies", "Whitepapers"]
# }

# pip install webscraping_ai
# https://pypi.org/project/webscraping-ai/
from webscraping_ai import Client

client = Client(api_key="YOUR_API_KEY")
result = client.fields(
    "https://competitor.com/blog",
    fields={
        "recent_posts": "Array of recent blog posts with title, date, and topic/category",
        "main_topics": "List of main content themes or categories",
        "post_frequency": "How often they publish new content",
        "content_types": "Types of content (how-to guides, case studies, etc.)",
    },
)
print(result)
# Response:
# {
#   "recent_posts": [
#     {"title": "10 Tips for...", "date": "Jan 5, 2025", "topic": "Guides"}
#   ],
#   "main_topics": ["Product Updates", "Industry Insights", "How-To Guides"],
#   "post_frequency": "2-3 posts per week",
#   "content_types": ["Blog posts", "Case studies", "Whitepapers"]
# }

// npm install webscraping-ai
// https://www.npmjs.com/package/webscraping-ai
import { WebScrapingAI } from 'webscraping-ai';

const client = new WebScrapingAI({ apiKey: 'YOUR_API_KEY' });
const result = await client.fields({
  url: 'https://competitor.com/blog',
  fields: {
    recent_posts: 'Array of recent blog posts with title, date, and topic/category',
    main_topics: 'List of main content themes or categories',
    post_frequency: 'How often they publish new content',
    content_types: 'Types of content (how-to guides, case studies, etc.)',
  },
});
console.log(result);
// Response:
// {
//   "recent_posts": [
//     {"title": "10 Tips for...", "date": "Jan 5, 2025", "topic": "Guides"}
//   ],
//   "main_topics": ["Product Updates", "Industry Insights", "How-To Guides"],
//   "post_frequency": "2-3 posts per week",
//   "content_types": ["Blog posts", "Case studies", "Whitepapers"]
// }

<?php
// composer require webscraping-ai/webscraping-ai-php
// https://packagist.org/packages/webscraping-ai/webscraping-ai-php
require 'vendor/autoload.php';

use WebScrapingAI\Client;

$client = new Client('YOUR_API_KEY');
$result = $client->fields('https://competitor.com/blog', [
    'recent_posts'   => 'Array of recent blog posts with title, date, and topic/category',
    'main_topics'    => 'List of main content themes or categories',
    'post_frequency' => 'How often they publish new content',
    'content_types'  => 'Types of content (how-to guides, case studies, etc.)',
]);
print_r($result);
// Response:
// {
//   "recent_posts": [
//     {"title": "10 Tips for...", "date": "Jan 5, 2025", "topic": "Guides"}
//   ],
//   "main_topics": ["Product Updates", "Industry Insights", "How-To Guides"],
//   "post_frequency": "2-3 posts per week",
//   "content_types": ["Blog posts", "Case studies", "Whitepapers"]
// }

# gem install webscraping_ai
# https://rubygems.org/gems/webscraping_ai
require 'webscraping_ai'

client = WebScrapingAI::Client.new(api_key: 'YOUR_API_KEY')
result = client.fields(
  'https://competitor.com/blog',
  fields: {
    recent_posts:    'Array of recent blog posts with title, date, and topic/category',
    main_topics:     'List of main content themes or categories',
    post_frequency:  'How often they publish new content',
    content_types:   'Types of content (how-to guides, case studies, etc.)',
  }
)
puts result.inspect
# Response:
# {
#   "recent_posts": [
#     {"title": "10 Tips for...", "date": "Jan 5, 2025", "topic": "Guides"}
#   ],
#   "main_topics": ["Product Updates", "Industry Insights", "How-To Guides"],
#   "post_frequency": "2-3 posts per week",
#   "content_types": ["Blog posts", "Case studies", "Whitepapers"]
# }

// go get github.com/webscraping-ai/webscraping-ai-go/v4
// https://pkg.go.dev/github.com/webscraping-ai/webscraping-ai-go/v4
package main

import (
    "context"
    "fmt"

    webscrapingai "github.com/webscraping-ai/webscraping-ai-go/v4"
)

func main() {
    client, _ := webscrapingai.NewClient(&webscrapingai.Config{APIKey: "YOUR_API_KEY"})
    result, _ := client.Fields(context.Background(), &webscrapingai.FieldsOptions{
        URL: "https://competitor.com/blog",
        Fields: map[string]string{
            "recent_posts": "Array of recent blog posts with title, date, and topic/category",
            "main_topics": "List of main content themes or categories",
            "post_frequency": "How often they publish new content",
            "content_types": "Types of content (how-to guides, case studies, etc.)",
        },
    })
    fmt.Println(result.Result)
}
// Response:
// {
//   "recent_posts": [
//     {"title": "10 Tips for...", "date": "Jan 5, 2025", "topic": "Guides"}
//   ],
//   "main_topics": ["Product Updates", "Industry Insights", "How-To Guides"],
//   "post_frequency": "2-3 posts per week",
//   "content_types": ["Blog posts", "Case studies", "Whitepapers"]
// }

// Maven: ai.webscraping:webscraping-ai:4.0.0
// https://central.sonatype.com/artifact/ai.webscraping/webscraping-ai
import ai.webscraping.Client;
import ai.webscraping.Config;
import ai.webscraping.option.FieldsOptions;
import ai.webscraping.result.FieldsResult;

Client client = new Client(Config.builder().apiKey("YOUR_API_KEY").build());
FieldsResult result = client.fields(FieldsOptions.builder()
    .url("https://competitor.com/blog")
    .addField("recent_posts", "Array of recent blog posts with title, date, and topic/category")
    .addField("main_topics", "List of main content themes or categories")
    .addField("post_frequency", "How often they publish new content")
    .addField("content_types", "Types of content (how-to guides, case studies, etc.)")
    .build());
System.out.println(result.getResult());
// Response:
// {
//   "recent_posts": [
//     {"title": "10 Tips for...", "date": "Jan 5, 2025", "topic": "Guides"}
//   ],
//   "main_topics": ["Product Updates", "Industry Insights", "How-To Guides"],
//   "post_frequency": "2-3 posts per week",
//   "content_types": ["Blog posts", "Case studies", "Whitepapers"]
// }

// dotnet add package WebScrapingAI
// https://www.nuget.org/packages/WebScrapingAI
using WebScrapingAI;

var client = new WebScrapingAIClient(new WebScrapingAIClientOptions { ApiKey = "YOUR_API_KEY" });
var result = await client.FieldsAsync(new FieldsRequest {
    Url = "https://competitor.com/blog",
    Fields = new Dictionary<string, string> {
        ["recent_posts"] = "Array of recent blog posts with title, date, and topic/category",
        ["main_topics"] = "List of main content themes or categories",
        ["post_frequency"] = "How often they publish new content",
        ["content_types"] = "Types of content (how-to guides, case studies, etc.)",
    },
});
Console.WriteLine(result.Result);
// Response:
// {
//   "recent_posts": [
//     {"title": "10 Tips for...", "date": "Jan 5, 2025", "topic": "Guides"}
//   ],
//   "main_topics": ["Product Updates", "Industry Insights", "How-To Guides"],
//   "post_frequency": "2-3 posts per week",
//   "content_types": ["Blog posts", "Case studies", "Whitepapers"]
// }

Benefits for Content Teams

Find Content Gaps: Discover topics your competitors cover that you're missing.

Improve Messaging: Learn what value props resonate in your market.

Content Calendar: Understand competitor publication patterns.

Keyword Ideas: Find keywords competitors target in their content.

Track Changes: Monitor when competitors update positioning.

Analysis Applications

Content Gap Analysis

Find topics competitors rank for that you don't cover

Competitive Battlecards

Keep sales battlecards updated with competitor messaging

Brand Monitoring

Track when competitors mention your brand

Product Launch Intel

Monitor competitor product announcements

Related Use Cases

Start Analyzing Competitor Content

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Competitor Content Analysis