API reference · Instagram

instagram/bulk/hashtag-posts

Integrate this model through SandBase's unified API, with production-ready schemas and examples.

Production endpoint

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OpenAI-compatible endpoint with unified authentication and usage tracking.

POSThttps://api.sandbase.ai/v1/run
Model IDinstagram/bulk/hashtag-posts
01

Input Schema

4 parameters · 1 required · 3 optional

ParameterTypeRequiredDescription
hashtagsstring[]RequiredType in or paste the hashtag with or without # symbol. Each hashtag is treated as one single search term. If you put several words in one line (e.g. travel photography food), they'll be merged into a single hashtag (#travelphotographyfood). To search for terms separately, add each one as its own entry using the + Add button — and use keyword search if you need multi-word phrases. 🔎 Searching by keyword? Add your keywords in this same field, then enable Scrape with a keyword instead of hashtag toggle below. You can add as many keywords as you like in one field, space-separated.
resultsTypestringOptionalChoose whether to scrape posts or reels for the selected hashtags or keywords. · Options: posts, reels, stories · Default: "posts"
postsreelsstories
resultsLimitintegerOptionalSet the maximum number of results (reels or posts) you want to scrape. If you set this to 5, you will scrape 5 posts for each hashtag or keyword you provide. With this setup, if you decide to add 7 different hashtags or keywords, you will scrape 35 posts altogether. · Min: 1 · Max: 9007199254740991
keywordSearchbooleanOptionalEnable this option if you want to get posts or reels by a specific keyword instead of a hashtag. Add your keywords to the Hashtags or keywords field above. Unlike with hashtags, multiple words are supported as keywords, just add spaces between them. The dataset will be slightly different than the one produced by hashtag. See examples here with the difference between hashtag and keyword extraction.
02

Output Schema

FieldTypeDescription
idstringUnique identifier for the generation task
statusstringTask status: pending, running, completed, failed, timeout
modelstringModel used for the generation
outputsarrayArray of output items
outputs[].urlstringURL of the generated artifact
outputs[].content_typestringMIME type (e.g. image/png, video/mp4)
errorobject | nullError details if failed, null on success
error.typestringMachine-readable error type code
error.messagestringHuman-readable error description

Async Workflow

This model uses asynchronous execution. Submit a request and poll for the result.

  1. Submit — POST to /v1/run, receive an id
  2. Poll — GET /v1/run/{id} until status is completed, failed, or timeout
  3. Retrieve — Read outputs from the completed response
03

Code Examples

Ready-to-run snippets

# Step 1: Submit
curl -X POST https://api.sandbase.ai/v1/run \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
  "model": "instagram/bulk/hashtag-posts",
  "resultsType": "posts",
  "prompt": "a beautiful sunset over mountains"
}'

# Step 2: Poll result (replace <id>)
curl https://api.sandbase.ai/v1/run/<id> \
  -H "Authorization: Bearer YOUR_API_KEY"