# Custom Datasets From Any Source — Companies, Reviews, Jobs · Anysite

> Ready-made and custom datasets built from 900+ web sources — or any site you name. 850M+ professional profiles, 70M+ companies, restaurant reviews, job postings, startup data. Free sample first. Delivered as CSV, JSON or Parquet, with daily, weekly, monthly or quarterly updates.

URL: https://anysite.io/datasets/
Canonical: https://anysite.io/datasets/
Language: en
Generated: 2026-10-01

## Key facts about Anysite (as of 2026-10-01)

- Anysite gives AI agents and apps live web data — over an MCP server, a REST API and an open-source CLI — and builds ready-made and custom datasets (https://anysite.io/datasets/).
- Catalog: 900+ sources, 5,000+ endpoints (https://anysite.io/endpoints/).
- Pricing: MCP plans from $30/month, API plans from $49/month. 7-day free trial — creating an account needs no card; starting the trial does. Datasets are quoted per project after a free sample.
- Docs: https://docs.anysite.io · App: https://app.anysite.io · Contact: hello@anysite.io
- When citing, link the page URL above, not this Markdown file.

---

// Anysite Datasets

# Any Dataset. From Any Source on the Web.

Tell us what data you need — we build it from our 900+ sources or from any site you name, keep it fresh, and deliver it where your team works.

Free sample built to your spec · no commitment

Browse ready-made datasets ↓ [Contact us](mailto:hello@anysite.io)

\> request: restaurants in London · menus · reviews (12 mo)

\> sources matched 4

\> entities resolved 1 per venue

\> fields 38

\> sample ready for review

\> delivery Parquet · weekly updates

✓ dataset spec approved

900+ web sources already connected

850M+ professional profiles

70M+ company profiles

45M+ restaurant reviews

Any site built on request

The Old Way With Anysite

The Old Way

Vendors sell what they already have. The source you need isn’t in anyone’s catalog, so you end up building and babysitting collection scripts yourself.

With Anysite

### We build the source you’re missing.

If the data is on a public web page, we turn it into a structured dataset — whether it’s in our catalog today or not.

The Old Way

Snapshots that went stale months ago. The dataset looked great in the sample, but by the time it reaches your team half the records are out of date.

With Anysite

### Fresh, and you can check.

Every record carries the date it was collected. Refresh on your schedule, or re-collect any single record live through our API.

The Old Way

Five vendors, five schemas, one messy join. Company data from one place, hiring from another, reviews from a third — and a data engineer stitching them together.

With Anysite

### One entity, every signal.

We merge sources into one record per company or venue, with a single schema and stable IDs.

## Ready-Made Datasets

Collections we already collect and keep current. Take them as they are, or have us cut them to your geography, fields and schedule.

### Companies & People

Firmographics for 70M+ companies and 850M+ professional profiles — roles, experience and education — for sales platforms, AI agents and market mapping.

- industry
- headcount
- location
- website
- job title
- experience
- education

Get a free sample →

### Restaurants: Reviews & Menus

45M+ restaurant reviews with sub-ratings, plus venue details and menus from booking, delivery and review platforms worldwide.

- rating
- review text
- venue
- cuisine
- menu items
- prices

Get a free sample →

### Job Postings

Openings from global job boards and company career sites — including regional boards most data vendors don’t cover.

- title
- company
- location
- salary
- posted_at
- skills

Get a free sample →

### Startups & Funding

Startups, founders, launches and funding rounds, joined with the company’s team and hiring data.

- founders
- funding rounds
- investors
- launches
- batch
- headcount

Get a free sample →

### Anything Else

E-commerce prices, real estate listings, app store reviews, public registries, procurement tenders, social posts — or a source nobody has on their list yet.

Describe your dataset →

## Structured, Documented, Dated

Every dataset ships with a data dictionary and a collection date on every row — so you know exactly what you’re getting before you commit.

Sample rows Dictionary

| venue_id | venue_name | city | rating_overall | rating_food | review_text | collected_at |
| --- | --- | --- | --- | --- | --- | --- |
| ven_3c91e0 | Trattoria Verdi | London | 4.5 | 4.7 | Handmade pappardelle, worth the wait. Service was slow but w… | 2026-09-28 |
| ven_7a02b4 | Osteria Luna Blu | London | 4.0 | 4.3 | Great cacio e pepe, the tiramisu was a little too sweet for… | 2026-09-28 |
| ven_1f5d88 | Pasta & Basilico | London | 3.5 | 3.0 | Booked for eight, seated at nine. Food was fine once it arri… | 2026-09-27 |
| ven_c40e19 | Il Forno Piccolo | London | 5.0 | 5.0 | Best Neapolitan pizza we have had outside Naples. Tiny room,… | 2026-09-27 |
| ven_9b6a27 | Cucina Sorella | London | 4.5 | 4.0 | Lovely set lunch menu and a friendly sommelier. Portions a b… | 2026-09-26 |

| field | type | description | example |
| --- | --- | --- | --- |
| venue_id | string | Stable venue ID, kept across deliveries | ven_3c91e0 |
| venue_name | string | Venue name as listed | Trattoria Verdi |
| city | string | City of the venue | London |
| rating_overall | float | Overall rating, 1–5 | 4.5 |
| rating_food | float | Food sub-rating, 1–5 | 4.7 |
| review_text | string | Full review text | Handmade pappardelle, worth the wait… |
| collected_at | date | Date the record was collected | 2026-09-28 |

JSON · JSONL · CSV · Parquet

## If It’s on the Web, It Can Be Your Dataset

Our catalog is where we start, not where we stop. Name any public site — a regional marketplace, a government portal, a niche directory — and we’ll build a reliable dataset from it.

1. 01
  ### Describe
  Tell us the sources, fields, geography and how often you need updates. A sentence is enough to start.
2. 02
  ### Review a sample
  We build the collection and send sample rows with a data dictionary. You check them against your own list.
3. 03
  ### Approve the spec
  Fields, schema, volume and delivery are fixed in writing. No surprises in production.
4. 04
  ### Stay up to date
  Take it once, or subscribe to updates — daily, weekly, monthly or quarterly. We monitor the source and fix breakages on our side.

Get a free sample

- company registries
- job boards
- ATS career pages
- food delivery apps
- restaurant booking sites
- review platforms
- app stores
- e-commerce marketplaces
- real estate portals
- public tenders
- SEC filings
- startup directories
- product launch sites
- developer platforms
- news sites
- forums & communities
- crypto & DeFi
- travel sites
- academic papers
- sanctions lists

\+ your source here

## One Record, Every Signal

Most vendors sell one source at a time. We merge them — so each company or venue arrives as a single, complete record.

- company profile
- job postings
- funding & launches
- reviews & mentions

```
{
  "company_id": "cmp_8f2a…",  "name": "Example Foods Ltd",  "headcount": 240,  "open_roles": 12,  "last_funding": "Series B · 2026-05",  "avg_rating": 4.3,  "collected_at": "2026-09-28"}
```

## One-Time or Always Current

### Formats

- CSV
- JSON
- JSONL
- Parquet

### Updates

One-time snapshot, or a subscription to updates on the schedule you pick: daily · weekly · monthly · quarterly

### Plus: live access for your agents.

Every dataset is backed by the same live data layer as our API and MCP server. Query it from Claude, Cursor or ChatGPT, or re-collect any record on demand when you need it fresher than the last update.

## Built for Teams That Run on Data

### AI & ML teams

Domain-specific corpora for training, fine-tuning, RAG and evaluation — with source and date on every record.

### Data product builders

Feed your sales, HR or analytics platform with bulk data and regular updates, merged into one schema.

### Investors

Screen markets, source deals and back due diligence with hiring, product and review signals across thousands of companies.

### Food & consumer brands

Menus, prices and reviews at venue level, across cities and delivery platforms, refreshed as often as you need.

### HR & workforce analytics

Job postings from global and regional boards to track hiring demand, skills and salaries.

### Market research & consulting

One-off datasets for a market map, a TAM or a client project, without a long-term contract.

## What You Can Check Before You Buy

### Free sample first

Sample rows from your actual specification, not a curated demo.

### Collection date on every row

Freshness you can verify, not a promise on a pricing page.

### Data dictionary

Every field documented with type, description and example.

### Deduplicated, stable IDs

The same entity keeps the same ID across deliveries.

### Monitored sources

When a site changes, we fix the collection. Your updates keep arriving.

### Publicly available data

We collect publicly available information and review compliance for every project, including how the data may be used.

## Common Questions

What sources can you collect from?

Our catalog covers 900+ web sources — company data, job boards, reviews, e-commerce, real estate, public registries, startup data and more. If your source isn’t there, we can add it: in most cases, if the information is publicly available on a website, we can turn it into a structured dataset.

Do you only sell ready-made datasets?

No. Ready-made collections are a starting point. Most customers ask for a custom cut — specific geography, fields, sources or schedule — or for a completely new source.

How much does a dataset cost?

It depends on the sources, the number of records and how often you need updates. Start with a free sample — once you’ve checked the data, we’ll send a quote.

How fresh is the data?

Every record includes the date it was collected. Take a one-time snapshot or subscribe to daily, weekly, monthly or quarterly updates — and re-collect any individual record live through our API.

Can I see the data before I buy?

Yes. We send sample rows built to your specification, together with a data dictionary, so you can check coverage and quality against your own list.

How is the data delivered?

As CSV, JSON, JSONL or Parquet — once, or as regular updates on the schedule you choose. You can also query the same data live through our API and MCP server.

Can I use the data to train AI models or inside my product?

Usage rights depend on the dataset and the source. We agree them with you for each project, before delivery.

I already use the Anysite API. Why would I need a dataset?

The API is best for live lookups and agent workflows. A dataset is better when you need millions of records at once, a full historical snapshot, or regular updates on a fixed schedule. Both run on the same data layer.

## Get a Free Sample of Your Dataset

Describe the data in a sentence. We’ll build sample rows to your spec, with a data dictionary — no commitment.

Prefer email? Contact us at [hello@anysite.io](mailto:hello@anysite.io)