Market Research
Measure a market from public data — how many businesses operate in a category and area, how they are rated, what communities discuss, and how products in the category are priced.
How it works
These Actors are designed to chain — the output of one is the input of the next.
- 1
Size the field
Google Maps returns the businesses of a given type in a given area, with ratings and review counts as a proxy for relative traction.
- 2
Listen to the demand side
Facebook group posts and X timelines show how people in the market actually describe their problems.
- 3
Check the product side
Amazon product and search data gives pricing, ratings and review volume across the category.
Scrapers for this use case
5 Goldmine Actors serve this workflow.
Google Maps Business Scraper
Scrape Google Maps by keyword and location. Google Maps business scraper returning names, addresses, phones, websites, ratings, review counts, opening hours and coordinates. Google Maps leads for local marketing, from a Google Maps scraper with no login.
Facebook Group Posts Scraper
Facebook group scraper for public groups, no login. Scrape Facebook groups for their Facebook group posts: post text, author, reactions, comment and share counts, photos and publish time, for any number of groups per run.
Amazon Search Scraper
Amazon search scraper: scrape Amazon search results by keyword. Amazon keyword scraper for Amazon product search listings with titles, sale and original prices, ratings, review counts and product URLs, across result pages.
X (Twitter) Profile Scraper: Users & Tweets
[$0.00169/profile] Twitter scraper for public profiles and tweets, no login: follower counts, bio and the latest tweets with likes, replies, reposts, media and links. X scraper and Twitter profile scraper to scrape tweets from any public account as JSON, CSV or Excel.
Scrape LinkedIn Company Details
LinkedIn company scraper: scrape LinkedIn company pages in bulk for company data from LinkedIn: name, employee count, website, industry, size, headquarters, founding year, specialties, affiliated pages and stock info. LinkedIn company details, no login.
What this does not solve
Worth knowing before you build a process on top of it.
- Public data covers what is visible online. Private, offline and B2B-only segments are systematically under-represented.
- Ratings and review counts indicate relative traction, not revenue or market share.
- Social listening skews toward whoever posts, which is not a representative sample of a market.