TAAFT Scraper: export AI tool data from There's An AI For That

Need fresh TAAFT data without opening listings one by one?

This Actor helps you pull structured AI tool data from There's An AI For That for market research, competitor tracking, watchlists, and internal datasets.

Start small first:

• run 5 to 10 tools
• export CSV, JSON, or Excel
• scale only if the output fits your workflow

Recent monetization signal:

• confirmed Apify payout received for prior TAAFT usage
• May 2026 Apify Insights showed 4 paying users and $25.60 current-month profit as of 2026-05-28
• current-month monetization numbers can still adjust before Apify finalizes the payout invoice

Who this is for

• product and growth teams tracking a category or competitor set
• analysts and researchers building AI market maps
• founders validating a niche before building or repositioning
• developers feeding internal tools, dashboards, or agent workflows

What job this gets done

• pull fresh AI tool data from TAAFT without manual copy-paste work
• build a category export for research or planning
• monitor a keyword, niche, or watchlist over time
• export a clean dataset into Sheets, Excel, BI tools, or code

Why this beats manual collection

Manual collection is slow, inconsistent, and hard to repeat.

TAAFT spreads useful data across listing pages and tool pages. This Actor turns that into a repeatable workflow:

• discover tools by keyword, category, or direct URLs
• extract structured output in one run
• rerun the same workflow later when you need a refresh

Start with a small run

Do not begin with a full-directory scrape.

Use a small test first:

• set maxTools to 5 or 10
• choose a keyword, category, or short watchlist
• export the result

If the fields match your workflow, then scale up.

How to use it in 60 seconds

1. Click Try Actor.
2. Run a small test with maxTools: 5 or 10.
3. Export the result as CSV, JSON, or Excel.
4. If the output looks right, rerun with a larger category, search, or watchlist.

Recommended first tests

Keyword test

Use this when you want quick discovery in a niche:

{
  "mode": "search",
  "searchQuery": "image generator",
  "maxTools": 10,
  "includeReleases": false
}

Category test

Use this when you want a focused segment pull:

Find category slugs at theresanaiforthat.com/tasks/

{
  "mode": "category",
  "categories": ["coding"],
  "maxTools": 10,
  "includeReleases": false
}

Watchlist test

Use this when you already know the tools you care about:

{
  "mode": "urls",
  "urls": [
    "https://theresanaiforthat.com/ai/chatgpt/",
    "https://theresanaiforthat.com/ai/claude/"
  ],
  "maxTools": 2,
  "includeReleases": false
}

Three watchlist presets

These are small verified URL-watchlist examples. Use them as starting points when you want a fast first run.

Founder AI coding watchlist

Use this when you want to compare AI coding tools before deciding what to test or track.

Input:

{
  "mode": "urls",
  "urls": [
    "https://theresanaiforthat.com/ai/cursor-ai/",
    "https://theresanaiforthat.com/ai/chatgpt-codex/",
    "https://theresanaiforthat.com/ai/claude-cowork/",
    "https://theresanaiforthat.com/ai/github-copilot-sdk/",
    "https://theresanaiforthat.com/ai/blackbox-ai/"
  ],
  "maxTools": 5,
  "includeReleases": false
}

Run: 5 tools, about $0.01198 platform usage in the verified test.

Output: names, TAAFT URLs, official URLs, pricing fields, categories, views, ratings, and scrape timestamp.

Decision: sort coding tools by pricing, category fit, and visible traction signals before choosing which tools deserve deeper review.

Agency AI media research pack

Use this when you need a quick client or campaign research export for image and video AI tools.

Input:

{
  "mode": "urls",
  "urls": [
    "https://theresanaiforthat.com/ai/runwayml/",
    "https://theresanaiforthat.com/ai/nano-banana-by-google/",
    "https://theresanaiforthat.com/ai/stable-diffusion/",
    "https://theresanaiforthat.com/ai/chatgpt-images/"
  ],
  "maxTools": 4,
  "includeReleases": false
}

Run: 4 tools, about $0.02129 platform usage in the verified test.

Output: pricing model, paid-from value where exposed, category tags, TAAFT views, official URLs, and descriptions.

Decision: turn a short AI media tool list into a CSV/Excel comparison for planning, client research, or follow-up testing.

Meeting notes competitor watchlist

Use this when you want to monitor a focused set of meeting-note and transcription tools.

Input:

{
  "mode": "urls",
  "urls": [
    "https://theresanaiforthat.com/ai/notis-ai/",
    "https://theresanaiforthat.com/ai/supernormal/",
    "https://theresanaiforthat.com/ai/otter-ai/",
    "https://theresanaiforthat.com/ai/scribe-speech-to-text/"
  ],
  "maxTools": 4,
  "includeReleases": false
}

Run: 4 tools, about $0.01800 platform usage in the verified test.

Output: tool names, pricing, category tags, official URLs, descriptions, and TAAFT engagement fields.

Decision: refresh the same watchlist later to compare positioning, pricing text where exposed, and category changes without reopening each listing.

What the output actually gives you

This Actor returns a structured dataset you can sort, filter, and reuse. Representative fields include:

Field	Why it matters
name, taaftUrl, externalUrl	identify each tool and link it back to the source and official site
pricingModel, paidFrom, billingFrequency	compare monetization across a niche
categories, taskHierarchy	group tools by use case and segment
organization, country	map developers and company geography
rating, reviewCount, views, discussionCount	spot traction and engagement signals
alternatives, otherToolsBySameOrg	find adjacent tools and related products
releases	monitor version history where available and where TAAFT exposes it
detailStatus, detailError	see whether a row came from full detail-page extraction or listing-card fallback
scrapedAt	know when the row was collected

Detail-page reliability

TAAFT sometimes applies anti-bot protection to individual tool detail pages. The Actor is designed to avoid silent empty runs:

• detailStatus: "detail_ok" means the row came from the tool detail page.
• detailStatus: "detail_blocked" means the row was recovered from listing-card data because the detail page was blocked or unreadable.
• detailError gives the short reason when fallback data was used.

For research workflows, this makes the output easier to filter: use all rows for broad discovery, or filter to detail_ok when you need richer detail-page fields.

Sample output, explained

{
  "name": "ChatGPT",
  "taaftUrl": "https://theresanaiforthat.com/ai/chatgpt/",
  "externalUrl": "https://chat.openai.com/chat",
  "organization": "OpenAI",
  "pricingModel": "Freemium",
  "paidFrom": "$20/month",
  "rating": 4.2,
  "reviewCount": 304,
  "views": 161091,
  "categories": ["Coding", "Writing", "Chatting"],
  "scrapedAt": "2026-02-16T21:32:20.792Z"
}

What this lets you do immediately:

• sort by pricing model
• filter by category
• compare engagement signals
• move the data straight into a spreadsheet or internal workflow

Common use cases

• build a competitor list in one niche
• map a category before writing, building, or investing
• monitor a watchlist of specific AI tools
• seed an internal dataset for a dashboard, directory, or agent workflow
• find tools with specific pricing models or category tags

FAQ

Can I export TAAFT data to CSV or JSON? Yes. Export the dataset as CSV, JSON, or Excel after the run finishes.

Can I scrape only one category or keyword? Yes. Use category mode for a specific segment or search mode for a keyword.

Can I monitor a fixed list of tools? Yes. Use urls mode with direct TAAFT tool-page URLs.

Do I need to scrape the full directory to get value? No. Most buyers should start with a small run and scale only if the output fits their workflow.

What kind of buyer is this best for? People who want fresh or repeatable TAAFT exports for research, tracking, or internal tooling.

Is this a ready-made static dataset? No. This is the live scraper. If you want a fixed snapshot instead of a live run, use the separate bundle linked near the bottom of the page.

Who this is not for

• buyers who only need one or two pages copied by hand
• people who want private or non-public data
• teams expecting a fully deduplicated master database across every AI directory
• non-technical buyers who only want a one-time static spreadsheet

Try a small run first

Start with 5 or 10 tools.

That is the fastest way to confirm:

• the fields are right
• the output format fits your workflow
• the actor is worth scaling up for your use case