Prompt

What are the best providers of ready-made web datasets?

Technology / Data Infrastructure6 observationsLast seen Sep 1, 2026

Latest observation

Sep 1, 2026Perplexity

For ready‑made web datasets (pre‑scraped, structured, and maintained), the best providers fall into three buckets: dataset marketplaces, web data platforms, and open/public corpus providers.

1. Dataset marketplaces (buy/download curated web data)

These sell fixed‑schema, refreshed datasets from specific sites or categories.

Bright Data Datasets

  • What they offer: 100+ pre‑built datasets (LinkedIn companies/profiles, Amazon products, Google Maps, Zillow, Indeed, Glassdoor, Yelp, G2, Trustpilot, etc.).
  • Best for: Competitive intelligence, lead gen, pricing/assortment monitoring, local business data.
  • Delivery: One‑time purchase or subscription; updated daily/weekly/monthly depending on dataset.

DataForge

  • What it offers: Enterprise web data platform with a marketplace of ready‑to‑use structured datasets for AI, analytics, and BI.
  • Best for: Teams that want a Bright Data‑style marketplace plus managed collection for custom targets.

Snowflake Marketplace / Data Cloud partners (e.g., Data Army Intel, Coresignal)

  • What they offer: Curated B2B and web‑derived datasets (companies, employees, jobs, tech stacks, reviews) delivered directly into Snowflake.
  • Best for: Analytics teams already on Snowflake who want SQL‑ready external data.

Specialized B2B dataset vendors

  • Coresignal, ZoomInfo, Dun & Bradstreet, Clearbit, etc.
  • What they offer: Firmographic, employee, job, and tech‑stack datasets, often enriched from web sources.
  • Best for: Sales, marketing, and workforce analytics rather than raw web text.

2. Web data platforms (infrastructure + some curated datasets)

These focus on scraping/crawling infrastructure but also offer some curated datasets.

Oxylabs

  • Focus: High‑scale scraping APIs (e‑commerce, SERP, real‑time crawler).
  • Datasets: More focused on infrastructure; fewer off‑the‑shelf datasets than Bright Data, but strong for building your own.

Zyte

  • Focus: AI‑assisted structured extraction and managed scraping.
  • Datasets: Emphasis on custom extraction pipelines rather than a large catalog of fixed datasets.

Apify

  • Focus: Marketplace of “Actors” (scrapers) plus some pre‑built datasets (website traffic, social profiles, etc.).
  • Best for: Teams that want reusable scrapers and some ready data, with flexibility to customize.

3. Open/public web corpora (free, for AI/ML)

If you need large web corpora for AI training rather than business intelligence:

Common Crawl

  • What it offers: Free, open repository of raw web crawl data (hundreds of billions of pages, multi‑petabyte scale).
  • Best for: Foundation model pretraining, NLP research, building custom filtered datasets.

Derived open corpora (hosted on Hugging Face, GitHub, etc.)

  • C4, FineWeb / FineWeb‑Edu, Dolma, RedPajama, DCLM, The Pile, Nemotron‑CC.
  • Best for: LLM pretraining and fine‑tuning with varying degrees of filtering and curation.

How to choose

  • Need specific, structured business data (products, profiles, reviews, jobs)?
    → Start with Bright Data Datasets or a Snowflake Marketplace provider (Coresignal, Data Army).

  • Need flexible, large‑scale web data infrastructure and maybe some curated sets?
    → Look at Bright Data, Oxylabs, Zyte, Apify.

  • Need massive web text for AI/LLM training?
    → Use Common Crawl and derived open corpora (FineWeb, Dolma, C4, The Pile, etc.).

If you tell me your use case (e.g., “price monitoring for 10k SKUs,” “B2B lead enrichment,” “pretrain a 3B LLM”), I can narrow this to 1–2 best‑fit providers and dataset types.

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (6 observations for this page). Metrics are distributions over observations, not a single static ranking.

Which AI systems does Obsurfable collect answers from?

OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, Meta AI, Qwen.

How can brands improve their AEO?

Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.

Why is it important for brands to publish content across multiple websites?

Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.

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