Karmane/framer-saas-templates-pricing-and-traction-sample

Framer SaaS Templates Pricing and Traction Dataset -- Free Evaluation Sample

This dataset packages 927 current Framer SaaS templates into one analysis-ready table for template-market research, pricing comparison, creator benchmarking, and competitive intelligence.

It starts from Framer's public SaaS template lane and captures visible pricing, remix counts, conversion metrics, creator identity, feature inventory, summary copy, external checkout links, and keyword-derived positioning labels so analysts can compare the market without manually opening hundreds of listings.

Current snapshot highlights:

• Median visible price is $24.00
• Median remix count is 87, with the largest listing at 66,957 remixes
• ai is the most common visible template focus in this snapshot

Use cases

• Benchmark live Framer SaaS template pricing, remix traction, and feature depth by creator
• Screen how AI, startup, fintech, agency, and web3 positioning shows up across the current Framer SaaS lane
• Build internal dashboards for template scouting, creator benchmarking, or no-code market intelligence
• Track which creators cluster around free versus paid templates and where visible conversion metrics are strongest

This repository contains a 92-row free evaluation sample of the full 927-row production dataset.

The sample is fully open and loadable without authentication so you can inspect the schema, explore features, and validate quality before purchasing.

---

Full Production Dataset

This public repository is a 92-row evaluation sample. The full production-grade dataset contains 927 rows across 55 columns.

• Get Instant Access to the Full Dataset: https://thearticulated.gumroad.com/l/framer-saas-templates-pricing-and-traction
• Full Dataset on Hugging Face (gated): https://huggingface.co/datasets/Karmane/framer-saas-templates-pricing-and-traction
• Sample rows: 92
• Full dataset rows: 927
• Columns: 55

After purchase, provide your Hugging Face username and request access on the full dataset page.

---

Machine Learning and Analysis Use Cases

This dataset is a rich tabular and natural-language playground suitable for:

• Text Classification: Use text columns like record_id to predict categorical targets such as slug.
• Tabular Regression / Classification: Predict template_id or discovery_page using the other numeric and categorical features.
• NLP Feature Extraction: Extract embeddings or features from text columns like record_id for downstream tasks.
• Exploratory Data Analysis: Filter, pivot, and visualize across all columns in pandas, Excel, or any BI tool.

---

Dataset Structure

• Rows: 92
• Columns: 55
• Split: data
• File: data/data.parquet

Column Descriptions

• record_id: Stable unique row identifier derived from the Framer template slug.
• template_id: Numeric template identifier exposed by the Framer Marketplace payload.
• slug: Framer Marketplace template slug used in the public template URL.
• template_name: Customer-facing template title shown on the Framer Marketplace.
• template_url: Canonical Framer Marketplace URL for the template.
• source_category_name: Marketplace category name used for collection. This run targets the Framer SaaS template lane.
• source_category_slug: Marketplace category slug used for collection.
• discovery_page: Pagination request number at which the template first appeared during collection.
• discovery_batch_position: 1-based position among newly surfaced templates on the discovery page where the template first appeared.
• discovery_rank: Overall 1-based cumulative rank across collected templates at first discovery.
• creator_name: Template creator name shown by Framer.
• creator_slug: Creator slug used for the public Framer creator profile.
• creator_profile_url: Public Framer creator profile URL derived from the creator slug.
• creator_template_count_seen: Count of templates from the same creator inside this collected SaaS snapshot.
• creator_paid_template_count_seen: Count of paid templates from the same creator inside this collected SaaS snapshot.
• creator_free_template_count_seen: Count of free templates from the same creator inside this collected SaaS snapshot.
• creator_median_price_usd: Median visible price in USD across the same creator's templates in this collected SaaS snapshot.
• published_url: Live published site URL linked from the Framer Marketplace listing when available.
• published_url_domain: Domain extracted from the published site URL when available.
• duplicate_url: External checkout or duplicate link shown on the Framer template page when available.
• duplicate_url_domain: Domain extracted from the external duplicate or checkout link when available.
• price_text: Visible price label shown by Framer, such as Free or $59.
• price_usd: Numeric USD price parsed from the Framer price label when available.
• price_tier: Best-effort bucket derived from visible price, such as free, under_50, 50_to_99, 100_to_149, or 150_plus.
• is_free: Boolean flag indicating the template is free at collection time.
• meta_title: Marketplace meta title or subtitle shown for the template.
• summary_text: Short top-of-page summary text describing the template's intended use case.
• long_description_text: Longer normalized body text extracted from the public About this Template section when available.
• page_count_estimate: Best-effort page count parsed from visible template copy when available.
• feature_names_pipe: Pipe-delimited list of marketplace feature labels shown on the template page.
• feature_count: Count of feature labels parsed from the template page.
• has_cms_feature: Boolean flag indicating the feature inventory mentions CMS support.
• has_animations_feature: Boolean flag indicating the feature inventory mentions animations, effects, or motion features.
• has_analytics_feature: Boolean flag indicating the feature inventory mentions analytics or tracking features.
• has_localization_feature: Boolean flag indicating the feature inventory mentions localization or multilingual support.
• has_forms_feature: Boolean flag indicating the feature inventory mentions forms or lead-capture support.
• has_accessibility_feature: Boolean flag indicating the feature inventory mentions accessibility or A11y support.
• has_seo_feature: Boolean flag indicating the feature inventory mentions SEO support.
• screenshots_count: Count of screenshot images exposed by the marketplace payload for the template.
• conversion_rate_last7: Visible Framer Marketplace conversion metric for the last 7 days when exposed on the category payload.
• conversion_rate_last30: Visible Framer Marketplace conversion metric for the last 30 days when exposed on the category payload.
• conversion_rate_last90: Visible Framer Marketplace conversion metric for the last 90 days when exposed on the category payload.
• conversion_rate_all_time: Visible Framer Marketplace lifetime conversion metric when exposed on the category payload.
• remixes: Visible remix count exposed on the category payload.
• published_at: Template publish timestamp exposed by the Framer Marketplace when available.
• template_age_days: Age of the template in whole days from published_at to collection time when available.
• has_ai_signal: Boolean flag for AI, agent, automation, GPT, or LLM language in the title or description.
• has_startup_signal: Boolean flag for startup, founder, launch, waitlist, or micro-SaaS language in the title or description.
• has_agency_signal: Boolean flag for agency, client, or studio language in the title or description.
• has_fintech_signal: Boolean flag for fintech, finance, banking, or payments language in the title or description.
• has_web3_signal: Boolean flag for web3, crypto, NFT, blockchain, or DeFi language in the title or description.
• primary_template_focus: Best-effort positioning label inferred from the title and description, such as ai, startup, agency, fintech, web3, or general_saas.
• market_signal_score: Heuristic 0-100 score combining remix volume, visible conversion metrics, feature depth, creator presence, and page-depth signals.
• source_domain: Source domain used for collection.
• last_collected_at: UTC timestamp when the row was collected for this dataset build.

---

Loading the Dataset

from datasets import load_dataset

dataset = load_dataset("Karmane/framer-saas-templates-pricing-and-traction-sample")
print(dataset)
print(dataset["data"][0])

# Get as a pandas DataFrame
# df = dataset["data"].to_pandas()

---

Intended Use

This dataset is intended for research, experimentation, analysis, model prototyping, dashboard building, and market research.

---

Karmane. (2025). Framer SaaS Templates Pricing and Traction Dataset (Free Sample). Hugging Face. https://huggingface.co/datasets/Karmane/framer-saas-templates-pricing-and-traction-sample