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No-code web scrapers on Apify that turn public web data into clean, structured datasets (CSV, JSON, LLM-ready).

Which is more popular?
Website, pricing, platforms and company facts side by side.
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|---|---|---|
| Website | text2sql.ai | factden.com |
| Pricing | — | |
| Company | — | Startup from India · 1 - 9 employees · 2023 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Text2SQL.AI yet.
FactDen builds maintained web-scraping tools (Apify Actors) that turn hard-to-reach public data into clean JSON, CSV, or Excel — no proxies, anti-bot tuning, or code required. Every actor ships exact-date fields, booking-link/owner-response layers where relevant, and a markdownContent block ready...
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


No analysis of Text2SQL.AI yet.
Overall verdict
Why this product is good
Recommended for
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Text2SQL.AI and FactDen.
FactDen's answer:
FactDen actors output dual datasets with clean joins - reviews + per-product summaries, jobs + company profiles - so downstream pipeline work is minimal. Every actor ships with a built-in cost cap, a markdown column for direct LLM/RAG ingestion, and active anti-bot maintenance. The G2 actor extracts switching signals (which competitor a reviewer left and why) - a field most review scrapers skip entirely.
FactDen's answer:
Most alternatives are either monthly-seat data brokers or unmaintained scrapers that break silently. FactDen charges only for what you extract (pay-per-event), ships structured multi-dataset output ready for analytics pipelines, and patches anti-bot changes as target sites update. No contract, no minimum spend.
FactDen's answer:
FactDen's answer:
Built by a scraping engineer who kept running into the same gap - most Apify actors produce flat, single-dataset output with no maintenance when sites update their anti-bot stack. FactDen was started to fill that: production-grade actors with dual-dataset output, cost caps, and ongoing maintenance from day one.
FactDen's answer:
FactDen's answer:
Not yet disclosed
Share your experience with using Text2SQL.AI and FactDen. For example, how are they different and which one is better?
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