Stack Overflow Keyword Search: async/await Questions
Searching Stack Overflow for async/await? Get matching questions ranked by relevance, with score, view counts and answers, exported to JSON or CSV.
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How it works
- 1Open it on Apify
Hit Run on Apify — it opens the tool in the cloud, no install.
- 2Set the inputs
Adjust
query,site,tags(sensible defaults are pre-filled). - 3Click Run
The tool runs on Apify’s cloud and collects the data for you.
- 4Export the results
Download as JSON, CSV or Excel, or pipe straight into your app, Google Sheets, or an AI agent.
Inputs
| Field | What it does | Type |
|---|---|---|
query | Keywords to search for in question titles and bodies (e.g. "async await", "git rebase conflict"). Can be left empty if you provide one or more Tags instead. | string |
site | Which Stack Exchange network site to search. | string |
tags | Comma-separated tags to filter by, e.g. "javascript,promise" or "python,pandas". Optional. A question must carry ALL listed tags. You can search by tags alone with an empty query. | string |
sortBy | Ordering of results. "votes" = highest score first, "relevance" = best keyword match, "creation" = newest, "activity" = most recently active. | string |
maxItems | Maximum number of questions to return. The actor paginates the API (100 per page) until this many are collected or there are no more results. | integer |
notionConnector | Optional. Write each question as a page into your Notion when the run finishes. Authorize a Notion connector once in Settings → API & Integrations → MCP connectors, then pick it here. Leave empty to skip (default) — results are always saved to the dataset regardless. | string |
notionParentId | Optional. The Notion data source ID of the database to write into (only used if a Notion connector is set). Leave empty to create the pages privately in your workspace instead. | string |
What you get
A structured dataset — each result includes fields like:
answerCountbodycreatedAtisAnsweredownerNameownerReputationquestionIdscoretagstitleurlviewCountExport every run as JSON, CSV or Excel, or send it to your app, a database, Google Sheets, or an AI agent.
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