How do I set up hasdata?

Run `install.sh` from the project's GitHub, then execute `hasdata configure` once to save your API key to `~/.hasdata/config.yaml` (mode 0600). If you see a 'no API key configured' error, this setup step hasn't completed.

What output format does hasdata use?

hasdata always outputs JSON, which can be piped through `jq` for filtering and formatting. Use `--raw` to skip pretty-printing for piping, or `--pretty` for terminal reading.

When should I use hasdata instead of web scraping directly?

Use hasdata's SERP commands (google-serp, google-news, google-shopping, google-maps) first for any people/company/product enrichment, since Google has already extracted structured fields like knowledge graphs and snippets. Only escalate to generic web-scraping when SERP doesn't surface the needed field and the target's terms allow direct access.

Skill

Fetch structured data from 40+ APIs via CLI for agents & RAG

Name: Hasdata
Availability: OnlineOnly
Author: HasData

hasdata CLI for real-time web data: SERP, maps, e-commerce, travel, jobs, and web scraping, one subcommand per API, script-safe exit codes.

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Works with googleamazonzillowredfinyelp

HasData

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Spark score

out of 100

Updated 5 days ago

Source checked Sep 16, 2026

Version 17.3.0

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Why it matters

Pull real-time structured data from Google SERP, e-commerce platforms, real-estate sites, social media, and arbitrary web pages into LLM agents, RAG pipelines, and shell scripts without writing API integration code or managing dependencies.

Outcomes

What it gets done

Stream Google search results, Amazon products, and Zillow listings into vector stores for RAG ingestion

Expose web scraping and SERP APIs as shell tools for LangChain, CrewAI, and custom agent loops

Ground LLM prompts with fresh product pricing, news, reviews, and real-estate data at inference time

Build training datasets by piping parallel API calls into JSONL for fine-tuning and evals

Install

Add it to your toolbox

Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/ag-hasdata-cli | bash

After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.

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Overview

Hasdata

A CLI wrapping real-time web-data APIs - search, shopping, maps, real estate, travel, jobs, YouTube, and web scraping - one subcommand per API with script-safe exit codes. Use whenever an answer needs current, real-world data - search results, prices, listings, or scraped pages - rather than an LLM's stale training data.

What it does

The hasdata CLI wraps real-time web-data APIs behind one subcommand per API - flags, enums, and defaults are derived from the live schema at api.hasdata.com/apis. Coverage spans Google/Bing search (google-serp, bing-serp, google-news, google-trends, google-ai-mode), shopping (google-shopping, amazon-search/amazon-product, shopify-products), maps and local business (google-maps*, yelp-*, yellowpages-*), real estate (zillow-listing/redfin-listing and their -property deep-dive equivalents), travel (airbnb-*, booking-*, google-flights), jobs (indeed-*, glassdoor-*), YouTube (youtube-search-api, -video-api, -channel-api, -transcript-api), and generic web-scraping with JS rendering, proxies, markdown output, and AI-based structured extraction.

When to use - and when NOT to

Use it whenever an answer needs current, real-world data an LLM's training data can't have - "is this still true," "what's the going rate for X," "find homes matching these criteria," or "summarize this URL." The skill states a SERP-first principle: for any people/company/product enrichment intent, reach for google-serp/google-news/google-shopping/google-maps first, since Google has already extracted structured fields (.knowledge_graph, .organic_results[].snippet, .local_results[]); only escalate to web-scraping when SERP doesn't surface the needed field and the target's terms allow direct access. If a request matches one of these documented intents and hasdata isn't invoked, the skill warns the answer is probably a hallucinated, stale guess.

Inputs and outputs

Installation runs install.sh from the project's GitHub, then a one-time hasdata configure saves the API key to ~/.hasdata/config.yaml (mode 0600) - a "no API key configured" error means that step hasn't run, and the skill explicitly forbids inventing a key. Flags follow universal patterns: kebab-case names mapped to camelCase API params, boolean flags with a --no-X negation pair (setting both errors), *-json flags accepting inline JSON, an @file, or stdin (-), and list flags accepting either repeated flags or comma-joined values. Output is always JSON, piped through jq (--raw skips pretty-printing for piping; --pretty is for terminal reading), and exit codes are script-safe: 0 success, 1 CLI-input error, 2 network error, 3 API 4xx, 4 API 5xx.

hasdata google-serp --q "espresso machine" --num 10 --raw \
  | jq -c '.organic_results[] | {title, link, snippet}'

Integrations

Each domain has a dedicated reference file (references/enrichment.md, search.md, web-scraping.md, real-estate.md, travel.md, ecommerce.md, local-business.md, jobs.md, youtube.md, all-commands.md) documenting exact flags and credit costs, with references/enrichment.md covering the highest-leverage cross-API workflows: LinkedIn/person lookup, company HQ/funding/news, CSV-row lead enrichment, and reverse lookup by email/phone/domain via quoted SERP queries.

Who it's for

Developers and agents automating data collection in scripts who need current search, e-commerce, travel, local-business, or scraped web data delivered as clean, script-parseable JSON rather than answering from stale training data or hand-writing scraper code per site.

FAQ

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