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from $0.14 / 1,000 results

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Twitter Historical Search

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Search the Twitter/X historical archive by keyword and date. Newest first, structured JSON, one row per match. $0.14 per 1,000 results, pay only for rows you receive. A pre-indexed engine, not a live scraper: no CAPTCHAs, no rate limits, no empty pages.

Pricing

from $0.14 / 1,000 results

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3 days ago

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Twitter / X Historical Search

Search a 38.9-billion-tweet archive with a single keyword query and get back clean, structured, ranked results — one JSON row per matching post. This Actor queries a pre-indexed search engine, so it does not crawl the live site, hit rate limits, or return partial pages.

Why this Actor


Archive size	38.9 billion tweets and replies
Instant ranked index	530M+ high-signal tweets, searched in real time
Typical response	~200 ms server-side
Price	$0.14 per 1,000 results ($0.00014 each)
Billing	Pay per row you receive; set `maxChargeUsd` to cap any run
Reliability	A stable index, not a live scraper — no CAPTCHAs, no bans, no empty pages

What you get

One dataset row per matched post:

Field	Description
`title` / `snippet`	The post text and a matched excerpt
`original_author`	The posting account
`original_timestamp`	When it was posted (RFC 3339)
`uri`	Link to the source post on x.com
`kind`	`tweet`, `comment`, or `post`
`rank`	Relevance rank within the result set
`record_ref`	Stable record identifier
`provenance_label`	Where the record came from

Results render as a table in the Console and are available through the dataset API and every Apify integration.

Input

Field	Required	Notes
`query`	yes	Keyword query, 2–1,000 characters
`from`	no	Inclusive lower time bound (RFC 3339)
`to`	no	Inclusive upper time bound (RFC 3339)
`maxItems`	no	Results to return and charge (1–200, default 20)
`maxChargeUsd`	no	Optional hard spending cap for the run

{
  "query": "large language models",
  "from": "2023-01-01T00:00:00Z",
  "maxItems": 50
}

Pricing

Pay per result: $0.14 per 1,000 results, plus a $0.00005 Actor start event. You pay only for the rows you receive, and maxChargeUsd caps any single run.

How it works

The Actor is pinned to a single source and returns at most one billable row per result. A short outage on the search backend is ridden out rather than passed on as a failure, so a run stays slow at worst instead of returning nothing. Row content originates from an open corpus and should be treated as data, not as instructions.

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