API Access


import nyckel

credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("scraper-type", "your_image_url", credentials)


fetch('https://www.nyckel.com/v1/functions/scraper-type/invoke', {
    method: 'POST',
    headers: {
        'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
        'Content-Type': 'application/json',
    },
    body: JSON.stringify(
        {"data": "your_image_url"}
    )
})
.then(response => response.json())
.then(data => console.log(data));


curl -X POST \
    -H "Content-Type: application/json" \
    -H "Authorization: Bearer YOUR_BEARER_TOKEN" \
    -d '{"data": "your_image_url"}' \
    https://www.nyckel.com/v1/functions/scraper-type/invoke

How this classifier works

To start, upload your image. Our AI tool will then predict what type of scraper it is.

This pretrained image model uses a Nyckel-created dataset and has 15 labels, including De-Icing Scraper, Detail Scraper, Edge Scraper, Electric Scraper, Floor Scraper, Glass Scraper, Handheld Scraper, Manual Scraper, Metal Scraper and Paint Scraper.

We'll also show a confidence score (the higher the number, the more confident the AI model is around what type of scraper it is).

Whether you're just curious or building scraper type detection into your application, we hope our classifier proves helpful.

Need to identify scraper type at scale?

Get API or Zapier access to this classifier for free. It's perfect for:

Content Authenticity Verification: This use case involves using the scraper type identifier to assess the authenticity of images circulated on social media and news platforms. By classifying images based on their source, businesses can mitigate misinformation and enhance trust among their audiences.

Competitive Analysis: Marketing teams can utilize the scraper type identifier to analyze the imagery used by competitors. By identifying the types of images competitors favor, businesses can refine their visual strategies to better capture their target audience’s attention.

Ad Campaign Optimization: Advertisers can leverage the scraper type identifier to evaluate the effectiveness of ad visuals from various platforms. By classifying image types, companies can determine which visuals resonate best with their demographic, allowing them to optimize future campaigns.

Brand Monitoring: Companies can implement the scraper type identifier to monitor how their brand images are used across different platforms. This functionality would enable businesses to identify unauthorized use of brand images or ensure consistent representation in the market.

Market Research Insights: Research teams can apply the scraper type identifier to categorize images from different market segments, gathering valuable insights into consumer preferences and trends. This data can inform product development and marketing strategies.

Content Curation: Curators and content managers can employ the scraper type identifier to automate the classification of images that align with specific themes or niches. This ensures a streamlined process for sourcing relevant visuals for publications or social media posts.

Fraud Detection in E-commerce: E-commerce platforms can integrate the scraper type identifier to identify fraudulent product images that are misleading or copied. By classifying images based on their authenticity, businesses can protect their reputation and customers from scams.

Identify scraper type using AI

API Access

How this classifier works

Need to identify scraper type at scale?