Instagram Hashtag Scraper: Pull Every Post from Any Hashtag

Updated July 2026 · Affiliate disclosure

A hashtag feed is a live market-research panel: every post under #cleanskincare or #vanlife is a customer, competitor or creator telling you what's working. Scraping a hashtag turns that endless scroll into a dataset — posts, captions, authors, likes, comments and timestamps — that you can actually sort, filter and chart.

How to scrape a hashtag in 3 steps

1. Open the Apify Instagram Scraper (free account, no credit card, runs in the browser)
2. Enter your hashtags — one or several, with a per-tag results limit
3. Run and export to CSV, Excel or JSON — or straight into Sheets via the API

Hashtag results are pay-per-result at roughly $1.90 per 1,000 posts, with the free Instagram scraper tier covering your first couple thousand. No login, no proxies, and your own account is never involved.

Workflows that pay for themselves

• Trend research: scrape a niche hashtag weekly and chart post volume and engagement — you'll see trends inflect weeks before they hit marketing blogs
• Creator sourcing: the authors posting high-engagement content under your niche tag are your influencer shortlist, pre-filtered for relevance — cross-check them with a follower scrape
• UGC discovery: brands scrape their own branded hashtags to find customer content worth licensing
• Competitive intel: what captions and formats win under the tags you compete on

Doing it in code

The same actor is callable from Python or any language via REST — set hashtags in the input and you get clean JSON back. Examples in our Python guide and API guide.