Pricing

Pay per usage

Traceable dataset sampler for AI agents

Create a deterministic, representative, token-bounded context package from an Apify dataset while preserving row-level provenance and omission accounting.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

Abdulrahman Baidaq

Actor stats

Bookmarked

Total users

Monthly active users

19 days ago

Last modified

Categories

Agents

MCP servers

Source dataset

dataset

Required

Apify dataset to sample. The Actor requests read access only.

Type:string

Maximum estimated context tokens

max_context_tokens

Optional

Upper bound under ceil(complete CONTEXT.md UTF-8 bytes / 3.5); not a model-tokenizer guarantee.

Type:integer

Minimum:100

Maximum:100000

Default:6000

Coverage grouping fields

group_fields

Optional

Fields whose distinct values define strata for minimum coverage.

Type:string[]

Max. items:5

Default:

[]

Required provenance fields

provenance_fields

Required

Fields that must be present and non-empty for a row to be eligible.

Type:string[]

Min. items:1

Max. items:10

Default:

[
  "sourceUrl"
]

Stable identity fields

identity_fields

Optional

Fields used to identify duplicate rows; the complete row hash is the fallback.

Type:string[]

Max. items:10

Default:

[]

Minimum records per stratum

min_per_stratum

Optional

Coverage target reserved for each available stratum before budget filling.

Type:integer

Minimum:0

Maximum:20

Default:1

Maximum input rows

max_input_rows

Optional

Safety limit on source rows read during one run.

Type:integer

Minimum:1

Maximum:50000

Default:10000

Actor Dataset Provenance Enricher

flintglade/actor-dataset-provenance-enricher

Enrich Apify dataset rows with deterministic field-level provenance, source identity, canonical hashes, lineage, rights indicators, and artifact manifests.

Flintglade

SEC Official Dataset Rows

bb-tradetec/sec-official-dataset-rows

Read bounded, typed rows from catalogued public SEC dataset tables while retaining original columns and source provenance.

Google Dataset Search Scraper

searchapi/google-dataset-search-scraper

Extracts dataset titles, repositories, publishers, descriptions, formats, licenses, update dates, and dataset links from Google Dataset Search.

Search API

Accounting Contact Scraper

scrapido/accounting-contact-scraper

🧾 Accounting Contact Scraper pulls accounting firm records from Google Maps—full address, city, state, ZIP, phone & website. 📧 Company sites are crawled for emails and social links. 🚀 Ideal for accounting software vendors & B2B marketers.

Scrapido

RAG Corpus Provenance Packager

flintglade/rag-corpus-provenance-packager

Package rights-declared HTML, Markdown, text, and born-digital PDFs into deterministic RAG pages, traceable chunks, and verified manifests.

Flintglade

Apify Dataset to Google Sheets Sync

zentrafoundry/apify-dataset-to-google-sheets-sync

Send bounded Apify dataset rows to a buyer-controlled Google Sheets webhook endpoint.

Zentra

Data.gov.uk Scraper - Cheap 🌐📊🇬🇧

scrapestorm/data-gov-uk-scraper---cheap

🔎 Easily collect dataset listings from data.gov.uk Provide one or multiple search URLs and extract dataset information such as 📄 Dataset Title 🏢 Published By 🕒 Last Updated 📝 Description 🔗 Dataset URL & more Perfect for open data research, government data monitoring & dataset discovery 📊🚀

Storm_Scraper

5.0

Accounting Email Scraper

contacts-api/accounting-email-scraper

Accounting email scraper to collect verified accountant emails from firm websites, directories, and business listings 📧📊 Perfect for B2B outreach, financial partnerships, and accounting lead generation.

Lead Heaven

Dataset Download

idiatech/apify-Dataset-Download

Download any dataset from the Apify platform automatically and in any format you want. Use this actor along with a Dataset toolbox automation tool.

idIA Tech

data.go.kr Dataset Scraper

parseforge/data-go-kr-scraper

Scrapes dataset listings from Korea's official open data portal (data.go.kr) by keyword, dataset type, or recommendation status. Returns each dataset as a flat row with title, description, provider, and file links.