Data & analytics

Pay-per-call access to scraped data from 498 sites: social, ads, e-commerce, SEO and enrichment

Document parsing, extraction and retrieval pipelines: upload files, build indexes, run retrieval and manage data sources

Weather: blended forecasts, alerts, storm tracks, observations, climate normals and geocoding

Web scraping: extract listings, profiles, products, videos and search results from many sites

Product analytics: query events, run experiments, manage feature flags, dashboards, surveys and session replays

Great Britain electricity data: balancing actions, demand, generation, frequency and forecasts from the BMRS

Amazon marketplace data: track products, sellers and brands, keyword rankings, search results and bestsellers

Data integration: create and run data flows, manage connections, dataframes, users and audit events

Multi-platform data lookups: products, ads, profiles and posts from social and commerce sites, pay per call

Analytics platform: manage workspaces, dashboards, metrics, data sources, users and permissions

EU customs trade and PRODCOM production stats: concentration, volatility, import reliance and partner detail

Custom event tracking: define, update and delete event types and their properties, and send events in batches

Brand context for GTM teams: manage brand knowledge, AI retrieval, visitor telemetry and social signals

People and company enrichment, search, contact discovery, and workspace Lists: find emails, phones, profiles

Company and people data: enrich company profiles, search leads, resolve work emails, run bulk jobs

Search, answers, reports and agent research over Tako data and the web, pay per request

API benchmarks: ranked GTM API providers, plans and scores out of 100

Web scraping: clean Markdown, structured JSON, crawls, search and extraction from URLs

Analytics: manage projects, boards, charts, alerts, segments, wallet profiles and contract monitoring, plus SQL queries

Analytics events: send single or batched custom event occurrences to HubSpot

Pipelines: create SQL data pipelines, manage connectors, deploy and query views, check metrics

Multimodal data platform: ingest buckets, extract features, and run retrievers over collections and namespaces

Semantic models: query metrics, entities, targets and reports, sync code definitions, manage workspace teams

Interview campaigns: create and run research campaigns, manage contacts, transcripts, reports and exports