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brandfetch.com

Brandfetch is a brand data platform that provides instant access to logos, colors, fonts, and brand assets for millions of companies worldwide.

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Category
Data & Analytics
Language
English
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Registered
2006
Hosting
VercelInferred
HTTPS certificate trusted
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Website review

This review may include AI-generated content and is not individually verified. Domain, certificate and other facts come from the observed data on this page.

What is Brandfetch?

Brandfetch is a brand data platform: a searchable library of logos, colors, fonts, and other brand assets for millions of companies, plus APIs for pulling that data into your own product. You can look up a brand by name or by its web address, then grab the visual assets or structured brand details.

Its two main uses are:

  • Design and marketing research: quickly find official logos, color values, and fonts for a company you're referencing or designing for.
  • Product integration: developers can call APIs to fetch brand data programmatically—for example, to auto-fill a company profile with its logo, description, and social links when a user enters a domain.

The API example on the page shows the kind of record returned: brand name, domain, a "claimed" flag, short and long descriptions, and links to social profiles. That makes it useful for CRM enrichment, directory sites, invoice or dashboard personalization, and any app where users add companies and expect them to look right immediately.

Who it suits: designers and marketers who need assets fast, and developers building features that display third-party brands. Trade-off: coverage is broad, but a brand's presence in the library doesn't guarantee every asset is current or that the brand has verified its own page—so treat fetched data as a starting point and confirm critical assets against the brand's official site.

A practical next step: search for a company you already know well, compare what Brandfetch returns against its official press or brand page, and judge whether the accuracy is good enough for your use case before wiring it into an app.

How can I integrate Brandfetch's brand data into my app?

Brandfetch exposes its brand data through APIs, so integration means calling those endpoints from your own backend or client app rather than manually copying logos and colors. Per the site's own example, an API response for a brand can include an ID, brand name, domain, claimed status, short and long descriptions, and social links — a useful reminder that you get structured brand metadata, not just an image file.

A typical integration flow:

  1. Identify the brand. Search by brand name or by domain/URL (the site's "Explore brands" search works this way), then store the returned brand ID so later lookups are stable.
  2. Fetch the assets you need. Request the logo, color palette, fonts, or other brand assets for that brand and cache them in your own storage or CDN.
  3. Render with fallbacks. Map the returned colors and fonts into your theme, but keep a neutral default for brands that have incomplete data or for network failures.
  4. Refresh periodically. Brand identities change; schedule re-fetching or version your cached assets so a rebrand doesn't leave stale logos in your UI.

Where it fits well

  • Design and no-code tools that let users pull in a company's logo and colors when building a page or mockup.
  • CRMs, sales and marketing apps that enrich a company record with a logo, description and links automatically.
  • Directories, job boards and marketplaces where each listing needs consistent brand imagery without a human sourcing it.

Trade-offs to weigh

  • Coverage vs. accuracy. A large library (the site cites 50M+ brands) means most companies resolve, but smaller or regional brands may have thin or outdated data. Treat results as a starting point, not gospel.
  • Caching and licensing. If you cache assets, you're responsible for how they're displayed and whether your use is permitted; logos remain the trademark of their owners.
  • Rate limits and cost. API access is typically the paid part of a platform like this, so check the developer pricing page before designing a high-volume lookup into your product.

A concrete scenario: you run a B2B CRM and want every company record to show a logo and brand color. On record creation, call the API with the company's domain, store the returned logo URL and hex colors on the record, and fall back to a generated monogram if nothing is found. That keeps your UI consistent even when brand data is missing.

Next step: start with the developer documentation and test a handful of domains you know well — a large brand, a small local business, and a recently rebranded company — to see how complete and current the responses are before committing to an integration. If you only need logos rather than full brand metadata, simpler alternatives such as Logo.dev or Clearbit may cover the job with less overhead.

What types of brand assets and data does Brandfetch provide?

Brandfetch is a brand data platform centered on logos, colors, fonts and related brand assets for millions of companies. Its page describes a searchable library of brand logos, colors and assets, plus an API for integrating that data into your own app.

What it provides

  • Logos: company logos in multiple themes (for example, light and dark variants), which is the most common reason people use it.
  • Colors: brand color palettes, useful for design systems, slide decks and UI themes.
  • Fonts: brand typography information, so you can match a company's visual style.
  • Brand assets and metadata: the API example shows structured fields such as brand ID, name, domain, claimed status, short and long descriptions, social links (YouTube, Twitter, LinkedIn, Instagram, Facebook), location, founding year, company type and employee range.

Who it suits

Audience Typical use
Designers and marketers Pull official logos and colors for mockups, decks and campaigns
Developers Query brand data through APIs instead of scraping sites manually
Product teams Display company logos and metadata in dashboards or directories
Brand owners Give a brand a home on the internet and keep its assets discoverable

The trade-off is convenience versus control. A centralized library saves time and keeps assets consistent, but you should still confirm a brand's current guidelines before commercial use, since logos and colors can change and usage rights vary. The API is the bigger commitment: it is useful for dynamic apps, but simpler one-off design work may only need a manual search.

A practical next step: search a company you know and compare its logo and color data against the company's own website. If they match, the library is likely reliable for your workflow; if you need this at scale, evaluate the developer pricing and API terms at Brandfetch.

How much does Brandfetch cost for developers?

Brandfetch's developer pricing isn't a single flat number. The developer API is a metered product, so what you pay depends on how many brand-data lookups your app makes. The site lists a dedicated pricing page at brandfetch.com/developers/pricing and shows Stripe as its payment platform, which points to tiered or usage-based billing rather than one fixed fee.

What that means in practice

  • Free/exploration tier: the main site lets anyone search millions of brand logos, colors, and assets, so you can evaluate coverage before committing to an API plan.
  • Paid developer tiers: these are structured around request volume and features like logos, colors, fonts, and richer brand fields. Higher tiers typically unlock more requests, higher rate limits, and commercial-use terms.
  • Overage or pay-as-you-go: metered APIs usually charge extra once you exceed your plan's included lookups.

Who should care about which option

Your situation Likely fit
Prototyping or a side project Free search + lowest API tier
Production app with steady traffic Mid tier sized to your monthly lookups
High-volume platform Custom/enterprise terms negotiated directly

A useful next step

Check the official pricing page for current tiers, then estimate your monthly request count (users × lookups per session × sessions). If you're building something like a design tool, a CRM, or a link-preview feature, that estimate tells you which tier you actually need — and whether caching brand assets locally would cut your costs. You can compare the offering against alternatives such as Logo.dev or Clearbit if you want to weigh coverage and pricing side by side.

Can I claim or manage my own brand's page on Brandfetch?

Yes. Brandfetch is built around brand pages that companies can claim and manage, and the platform's own data model includes a claimed field on each brand record (the example API response on the page shows "claimed": true for Attio). That flag exists precisely because brands can take ownership of their listing rather than leaving it as a third-party-generated entry.

H3 What claiming typically gets you

  • Control over the core identity assets shown on your page: logo, colors, fonts and related brand assets.
  • A single canonical place to point designers, developers, partners and press so they pull the correct files instead of scraping a logo off your website.
  • Cleaner API results: teams integrating brand data can rely on a maintained record rather than a guess pulled from your homepage.

H3 Who this matters for

Role Why claiming helps
In-house brand or design lead Keeps logos and color values accurate and current after a rebrand
Developer building a product Consumes consistent brand assets through the API instead of hardcoding them
Agency or freelancer Manages several client brands from one account
Startup founder Establishes a page early, before someone else's scraped version circulates

H3 A practical next step

Search for your company on Brandfetch and check whether a page already exists. If it does, look for the claim option on that page; if it doesn't, you may need to create it first. Before you start, gather the assets you'll want to upload — a current logo in vector and raster form, your exact hex codes, and font names — so the claim process is a single pass rather than a series of follow-ups.

One caveat worth planning for: claiming is about the identity record, not about replacing your own website. Think of it as the structured, machine-readable layer that sits alongside your site and feeds tools that need your logo in a usable format. If your brand guidelines live in a PDF that nobody opens, this is a more practical distribution channel for the same information.

How does Brandfetch's API work for retrieving logos and brand information?

Brandfetch's API returns brand data as structured JSON for a given company, keyed by identifiers like a brand ID, name, or domain. The page's own example response for Attio shows the shape of a record: an id, name, domain, a claimed flag, a short description, and a longDescription, plus arrays for links and logos. In other words, you request a brand and get back a bundle of identity fields, social/profile links, and logo assets rather than a single image file.

For logos specifically, the response groups assets by theme (the example shows light), which matters because you usually need a version that stays legible on your own background. A practical pattern is to store the returned logo URLs and theme labels together, then pick the appropriate variant at render time instead of hardcoding one file.

H3 Practical uses and audiences

  • Product and marketing teams: pull a customer's logo and colors for co-branded pages, case studies, or "trusted by" walls without chasing assets by email.
  • Developers building integrations: enrich CRM or directory records with a company's description, links, and domain automatically.
  • Design and brand tools: offer logo search or asset lookup inside an editor.

H3 Trade-offs to weigh

Approach Strength Watch out for
API integration Automated, consistent schema, scales across many brands You depend on coverage and freshness of the underlying library
Manual collection Full control over which asset you use Slow, inconsistent naming, breaks when a brand rebrands

The main caveat: a large library (the page cites 50M+ brands) does not guarantee every brand is claimed or fully populated, so treat claimed and missing fields as normal cases and build a fallback.

Next step: fetch one brand you already know well and inspect the JSON fields before wiring it into your app. Brandfetch documents its developer offering at Brandfetch, including a developer pricing page if you need to gauge volume limits.

Related questions

More questions →
What Does It Mean to Work With Data? A Beginner's Guide to Data Visualization and Statistics

Working with data means turning raw records into understanding. In practice, that breaks into five repeatable activities: collecting data, cleaning it, exploring it, visualizing it, and interpreting what the results do and do not support. Data visualization and statistics are two halves of the same job — statistics tells you whether a pattern is real and how uncertain it is, while visualization shows you the shape of the pattern and communicates it to others. You do not need a math or programming background to start; you need a question, a small dataset, and a tool simple enough that you spend your time thinking about the data rather than the software.

The Five Core Activities of Data Work

Most data projects, from a personal budget spreadsheet to a public health dashboard, move through the same stages.

1. Collecting

You gather observations: survey responses, website logs, sensor readings, government tables, or a hand-built spreadsheet. The key decision here is what counts as one row (a person? a day? a transaction?) and what each column measures. Getting this "unit of observation" wrong causes problems that no amount of later analysis can fix.

2. Cleaning

Real data arrives messy. Cleaning means handling missing values, fixing inconsistent categories ("USA," "U.S.," "United States"), correcting types (a date stored as text), and removing duplicates. Beginners are often surprised that this is the most time-consuming step. It usually is.

3. Exploring

Before making charts for others, you look for yourself. What is the range of each variable? Are there outliers? How are two variables related? Simple summaries — counts, averages, minimums, maximums — and quick scatterplots answer most early questions.

4. Visualizing

You encode values as position, length, color, or size so that patterns become visible. A good chart answers one question clearly. A bad chart hides the answer behind decoration or distorts it through a misleading axis.

5. Interpreting

You decide what the pattern means, how confident you should be, and what alternative explanations exist. This is where statistics and careful reasoning matter most.

Visualization vs. Statistics: How They Complement Each Other

These are not competing approaches. They answer different questions about the same data.

Question Better served by
Is there a relationship between two variables? Visualization (scatterplot)
How strong is it, and could it be chance? Statistics (correlation, regression, confidence intervals)
Are there clusters, gaps, or outliers? Visualization
How much uncertainty is in this estimate? Statistics
How do I explain this to a non-expert? Visualization
Did this change actually happen, or is it noise? Statistics

A practical rule: visualize to discover, model to confirm, visualize again to communicate. A scatterplot might reveal that one region behaves completely differently from the rest; a statistical model then tests whether that difference holds up; a final chart shows the finding to an audience.

Beginner-Friendly Tools and Formats

You can start with tools you already have.

  • Spreadsheets (Excel, Google Sheets): Best for datasets under a few thousand rows. Built-in chart types cover bar, line, scatter, and pie. Learn to sort, filter, and use pivot tables.
  • Chart types to master first: bar charts for comparisons, line charts for change over time, scatterplots for relationships, and histograms for distributions. These four cover most everyday questions.
  • Simple code options: If you want to go further, R (with ggplot2) and Python (with matplotlib or plotly) are common. Both have large free learning communities. Start with one, not both.
  • Design principles that matter more than the tool: label your axes, start bar charts at zero, avoid 3D effects, use color to encode meaning rather than decoration, and put the most important comparison in the most prominent position.

A Realistic Starting Path

If you have no data background, this sequence works:

  1. Pick a question you actually care about. "How has my city's rent changed over ten years?" beats a generic tutorial dataset.
  2. Find a small, public dataset. Government open-data portals and statistical agencies publish free tables.
  3. Load it into a spreadsheet and clean it. Fix types, remove duplicates, note missing values.
  4. Make three charts. One bar, one line, one scatter. Write one sentence under each describing what you see.
  5. Ask what could be misleading. Is the sample representative? Is the time range fair? Could a third factor explain the pattern?
  6. Repeat with a slightly harder question. Add a second variable, or try a simple statistical summary like a correlation or a group comparison.

Expect the first project to take longer than you think, mostly in cleaning. That is normal, not a sign you are doing it wrong.

What Data Can and Cannot Answer

Data can describe what happened, compare groups, estimate relationships, and quantify uncertainty. It cannot, on its own, establish causation without a proper study design, tell you what you should value, or compensate for a biased sample. A dataset collected from volunteers will not represent the general population no matter how sophisticated the analysis. Treat every result as "what this data suggests under these conditions," not as a final verdict.

Where to Go Next

FlowingData (flowingdata.com) focuses on data visualization and statistics for people who want practical, well-designed charts rather than academic theory. It is a reasonable place to browse examples, see how real datasets are turned into clear graphics, and pick up habits you can apply in your own work. Pair it with one spreadsheet tutorial and one public dataset, and you have everything you need for a first project.

The short version: working with data is a craft of asking clear questions, cleaning messy inputs, looking before you model, and communicating honestly. Start small, start visual, and let the statistics grow as your questions get harder.

Website Overview

An established domain and managed infrastructure suggest continuity of operations and may support dependable delivery, although neither guarantees service quality.

Domain and Registration

Registered in 2006, this domain has about 20 years of history. That suggests continuity, although ownership and purpose may have changed. Transfer-protection status is present, helping reduce the risk of unauthorized domain transfers. The domain uses the common .com extension, which is not an independent safety signal.

DNS and Email

Nameservers are provided by Cloudflare, indicating managed DNS hosting. DNSSEC is enabled, allowing validating resolvers to authenticate signed DNS data. No CNAME was found; the observed records resolve directly to addresses. No MX record was found. A conventional explicit inbound-mail route is not configured. TXT records include verification markers for Google. Such markers may also remain after a service stops being used.

TLS and Certificates

The public key uses EC with 256 bits. The server supplied a complete certificate chain. No organization name is present in the certificate; the available fields are consistent with domain validation. The certificate was issued within the Google Trust Services cloud or CDN ecosystem. The certificate's total validity is about 90 days, consistent with a short renewal cycle.

HTTP and Browser Security

X-Powered-By exposes backend information: Next.js. The response lacks these common security headers: Referrer-Policy, Permissions-Policy. The cf-ray response header indicates a CDN or caching proxy in the delivery path. No obvious internal addresses or debug information were found in the headers. The Server header identifies cloudflare without an exact version.

Technology Stack Analysis

The public page identifies Next.js, Google Tag Manager, Cloudflare, Vercel without precise versions, leaving fewer clues for version-specific scanning.

Search and Social Sharing

No homepage canonical URL was detected. If duplicate URLs exist, consolidation may be less explicit. Twitter Card metadata is configured. JSON-LD includes Organization data, helping describe the organization as an entity. The title has 36 characters, within a common display range. A meta description is present, with 143 characters.

Hosting and Email

DNSCloudflare
HostingVercel
EmailUnknown
Approximate IP geolocation (inferred; a CDN or proxy may differ from the origin server) Location unknown Inferred 104.26.0.96

Registration details

RDAP / WHOIS

RegistrarInfomaniak Network SA
Registered2006-03-23
Expires2027-03-23
Domain statusclient transfer prohibited
Nameserversderek.ns.cloudflare.com、lilith.ns.cloudflare.com
DNSSECsigned

DNS records

DNS

TypeNameValueTTLPriority
Abrandfetch.com104.26.0.96137—
Abrandfetch.com104.26.1.96137—
Abrandfetch.com172.67.71.146137—
AAAAbrandfetch.com2606:4700:20::681a:16077—
AAAAbrandfetch.com2606:4700:20::681a:6077—
AAAAbrandfetch.com2606:4700:20::ac43:479277—
NSbrandfetch.comderek.ns.cloudflare.com86400—
NSbrandfetch.comlilith.ns.cloudflare.com86400—
TXTbrandfetch.comgoogle-site-verification=AcPtZH1KROe6RejPOVfoBdl0HYGWVVKDmWuaDbFpMUk120—
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TXTbrandfetch.compinterest-site-verification=5040ef4dfb0c6d021d968caf5542c690120—
TXTbrandfetch.compostman-domain-verification=e7e20f66a497634fb0abe7a643c8d1134bf48da2d46c9dc87f9e38526531f9d8ba831bfe43213ec6b851412045ec829c4c2e8921b66e754f5c449bb6ea4df86e120—
TXTbrandfetch.comv=spf1 -all120—
DSbrandfetch.com2371 13 2 630f297bc998d88e8c842d6817c905fab4f75f7aeafaf23ac8adf8054c78e23086400—
DMARC_dmarc.brandfetch.comv=DMARC1; p=reject; sp=reject; adkim=s; aspf=s; rua=mailto:[email protected],mailto:[email protected]300—

TLS and certificates

TLS / SSL

AssessmentNormal configuration
Supported protocolsTLSv1.3
Negotiated protocolTLSv1.3
Certificate subjectbrandfetch.com
IssuerGoogle Trust Services
Valid until2026-11-23T09:37 · Remaining when checked: 60 days
Verification detailsCertificate trust: Passed · Hostname match: Passed

HTTP response headers

HTTP

HeaderValue
content-typetext/html; charset=utf-8
cache-controlprivate, max-age=3600, must-revalidate
servercloudflare
strict-transport-securitymax-age=31536000; includeSubDomains
content-security-policyframe-ancestors 'self' https://cms.brandfetch.com
x-content-type-optionsnosniff

Identified technologies

Next.jsGoogle Tag ManagerCloudflareVercel

Pages, Search and Sharing

Meta descriptionBrandfetch is a brand data platform that provides instant access to logos, colors, fonts, and brand assets for millions of companies worldwide.
Canonical URLNot detected
LanguageEnglish (default)
Twitter Cardsummary_large_image
All bots 0 allowed · 7 disallowed
  • Disallow/register?*
  • Disallow/login?*
  • Disallow/developers/brand-api?*
  • Disallow/developers/logo-api?*
  • Disallow/share/*
  • Disallow/onboarding
  • Disallow/brandspace/*

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