X / Twitter API

X / Twitter Search API

Search X (Twitter) with full advanced-search syntax (operators like from:, since:, until:, min_faves: work inline in the query) and get structured tweets with text, author, engagement, and cursor pagination. Limit is a per-page maximum; native pages contain approximately 20 tweets unless requireSinglePage selects a bulk lane.

$0.60/1k req, pay per request, no subscription.

openai gpt-6 / X
x.com/search?q=openai%20gpt-6&src=typed_query&f=live

openai gpt-6

TopLatestPeopleMediaLists
D

Dusk Ibrahim@duskdevlog · Sep 19, 2025

gpt-6 handling multi-file refactors without losing context is the first time an LLM diff actually felt safe to auto-apply

883122,840412K
What the API returneditems[0]
{
"id": "1928912345678901234",
"url": "https://x.com/duskdevlog/status/1928912345678901234",
"text": "gpt-6 handling multi-file refactors without losing context is the first time an LLM diff actually felt safe to auto-apply",
"authorUsername": "duskdevlog",
"authorName": "Dusk Ibrahim",
"authorVerified": true,
"likeCount": 2840,
"retweetCount": 312,
+10 more fields
}
Uptime
99.99%
30d · 374,127 calls
Requests
374,085
30d · weekly, last 12 wks
Response
1.4s
median · 30d

Try it

Get X / Twitter search in one request

requireFieldsarray
Optional; omit it and routing is unchanged, with the cheapest source serving. Name the output fields this request must be able to return, for example `nextCursor`, and it is served only by a source that returns every one of them. Fields you do not name are still returned whenever the serving source has them. This can raise your price: when the cheapest source cannot return a named field, a dearer source serves, and you are quoted and charged its price. A named field can still be absent on a post that genuinely lacks it. Naming a combination that no single source returns together is refused as invalid input, with no charge. On a paginated walk it applies to the first page only; later pages stay with the source that page chose, at the price it was quoted.
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Sample response
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{
  "found": true,
  "data": {
    "items": [
      {
        "id": "1928912345678901234",
        "url": "https://x.com/duskdevlog/status/1928912345678901234",
        "text": "gpt-6 handling multi-file refactors without losing context is the first time an LLM diff actually felt safe to auto-apply",
        "authorUsername": "duskdevlog",
        "authorName": "Dusk Ibrahim",
        "authorVerified": true,
        "likeCount": 2840,
        "retweetCount": 312,
        "replyCount": 88,
        "quoteCount": 14,
        "viewCount": 412000,
        "bookmarkCount": 640,
        "createdUtc": 1758240000,
        "lang": "en",
        "isReply": false,
        "conversationId": "1928912345678901234",
        "inReplyToId": null,
        "media": []
      },
      {
        "id": "1928912345678901235",
        "url": "https://x.com/laurenshipsit/status/1928912345678901235",
        "text": "openai just quietly bumped the context window again, nobody noticed because everyone is busy arguing about pricing",
        "authorUsername": "laurenshipsit",
        "authorName": "Lauren Ostrowski",
        "authorVerified": false,
        "likeCount": 960,
        "retweetCount": 140,
        "replyCount": 52,
        "quoteCount": 6,
        "viewCount": 98400,
        "bookmarkCount": 210,
        "createdUtc": 1758153600,
        "lang": "en",
        "isReply": false,
        "conversationId": "1928912345678901235",
        "inReplyToId": null,
        "media": [
          {
            "type": "photo",
            "url": "https://pbs.twimg.com/media/GZsearchScreenshot.jpg",
            "width": 1080,
            "height": 1350
          }
        ]
      },
      {
        "id": "1928912345678901236",
        "url": "https://x.com/samthebuilder/status/1928912345678901236",
        "text": "replying to the thread below, openai's function calling still trips on nested optional fields half the time",
        "authorUsername": "samthebuilder",
        "authorName": "Sam Whitfield",
        "authorVerified": false,
        "likeCount": 88,
        "retweetCount": 3,
        "replyCount": 12,
        "quoteCount": 0,
        "viewCount": 5400,
        "bookmarkCount": 9,
        "createdUtc": 1758067200,
        "lang": "en",
        "isReply": true,
        "conversationId": "1928912345678901230",
        "inReplyToId": "1928912345678901229",
        "media": []
      }
    ],
    "nextCursor": "DAACCgACGZabc123DEF456",
    "authorId": "1758912340000000000",
    "authorImage": "https://pbs.twimg.com/profile_images/1758912340000000000/dusk_avatar.jpg",
    "authorFollowers": 18400
  }
}

Full parameter and response reference - every field, type, and example for this endpoint.

Reference

One request, one response shape.

Every field you send and every field you get back, each with a real example.

Last verified 2026-10-06 · uptime and latency measured over 30d

Request body

JSON, posted to this endpoint.

  • querystring

    openai gpt-6

    Search query using X (Twitter) advanced-search syntax. IMPORTANT: bare terms are ANDed - a tweet must contain EVERY word, so a list of loosely related keywords matches nothing; use one short phrase or OR between alternatives (e.g. 'anyapi OR getanyapi'). When an operator follows an OR list, put the list in parentheses, e.g. '(anyapi OR getanyapi) -filter:replies': without them X applies the operator to the last alternative only, so such a query still runs as X reads it and the response's hint carries the corrected query. You can embed X advanced-search operators directly in the query to filter results: from:username and to:username (author or recipient), since:YYYY-MM-DD and until:YYYY-MM-DD (date range), min_faves:N, min_retweets:N, min_replies:N (engagement floors), "exact phrase", -term to exclude, filter:media and filter:links and -filter:replies (content filters), lang:en, near:city, and geocode:lat,long,radius. Examples: 'from:OpenAI', 'AI agents min_faves:500 -filter:replies', 'nvidia since:2026-01-01 until:2026-03-01'. A query with no matches returns an empty items array; prefer the fewest words that identify the topic.

  • cursorstring

    Opaque pagination cursor from a previous response's nextCursor. Omit for the first page; pass it to fetch the next page of search results.

  • limitinteger

    Per-page maximum number of results to return (1-50, default 20). A provider may return a smaller native page; follow nextCursor for more.

  • queryTypeenum

    Latest

    Which posts to return: 'Latest' (newest first, the default), 'Top' (most popular), 'Photos' (newest posts with images), or 'Videos' (newest posts with video). Photos and Videos search your query as written with filter:images or filter:videos added after it, so they cost the same as a Latest search.

  • requireFieldsarray

    Optional; omit it and routing is unchanged, with the cheapest source serving. Name the output fields this request must be able to return, for example `nextCursor`, and it is served only by a source that returns every one of them. Fields you do not name are still returned whenever the serving source has them. This can raise your price: when the cheapest source cannot return a named field, a dearer source serves, and you are quoted and charged its price. A named field can still be absent on a post that genuinely lacks it. Naming a combination that no single source returns together is refused as invalid input, with no charge. On a paginated walk it applies to the first page only; later pages stay with the source that page chose, at the price it was quoted.

  • requireSinglePageboolean

    Set true to get up to limit results in one response instead of provider-native pages, served by a bulk provider when needed.

You send. A small JSON body. The values shown are examples to replace with your own.

Response

JSON, one example value per field.

  • foundboolean

    true

each itemdata.items[]
  • idstring

    1928912345678901234

  • urlstring

    https://x.com/duskdevlog/status/1928912345678901234

  • textstring

    gpt-6 handling multi-file refactors without losing context is the first time an LLM diff actually felt safe to auto-apply

  • authorUsernamestring

    duskdevlog

  • authorNamestring

    Dusk Ibrahim

  • authorVerifiedboolean

    true

  • likeCountnumber

    2840

  • retweetCountnumber

    312

  • replyCountnumber

    88

  • quoteCountnumber

    14

  • viewCountnumber

    412000

  • bookmarkCountnumber

    640

  • createdUtcnumber

    1758240000

  • langstring

    en

  • isReplyboolean

    false

  • conversationIdstring

    1928912345678901234

  • inReplyToIdnull

    null

  • mediaarray
datadata
  • nextCursorstringcan require

    DAACCgACGZabc123DEF456

  • authorIdstring

    1758912340000000000

  • authorImagestring

    https://pbs.twimg.com/profile_images/1758912340000000000/dusk_avatar.jpg

  • authorFollowersnumber

    18400

You get back. Named, typed fields in the same shape whichever source answers.

FAQ

About the X / Twitter Search API

The AnyAPI X / Twitter Search API returns X / Twitter search data as normalized JSON from one POST call to /v1/run/twitter.search. Search X (Twitter) with full advanced-search syntax (operators like from:, since:, until:, min_faves: work inline in the query) and get structured tweets with text, author, engagement, and cursor pagination. Limit is a per-page maximum; native pages contain approximately 20 tweets unless requireSinglePage selects a bulk lane. AnyAPI routes each request across 4 sources and falls back automatically when one fails. It costs from $0.60 per 1,000 requests, in US dollars with no subscription and no monthly minimum. Over the last 30 days, 100.0% of X / Twitter search calls through AnyAPI succeeded, with a median response time of 1.4 seconds across 374,127 measured calls.

It costs from $0.60 per 1,000 requests, in US dollars with no subscription and no monthly minimum. You fund one USD wallet and each call draws it down. Some failed wallet-funded requests incur processing charges that we pass through at cost, with no markup; the error response shows the amount charged.

Search X (Twitter) with full advanced-search syntax (operators like from:, since:, until:, min_faves: work inline in the query) and get structured tweets with text, author, engagement, and cursor pagination. Limit is a per-page maximum; native pages contain approximately 20 tweets unless requireSinglePage selects a bulk lane. The response is normalized JSON with the same envelope every AnyAPI endpoint returns, so parsing a second endpoint is a change of URL and nothing else.

Over the last 30 days, 100.0% of X / Twitter search calls through AnyAPI succeeded, with a median response time of 1.4 seconds across 374,127 measured calls. These are AnyAPI's own measurements of traffic through the gateway, recomputed continuously, not a published service-level target.

Yes. A new AnyAPI account starts with $0.10 of free balance and no card required, which covers 166 X / Twitter Search calls at $0.0006 each.

AnyAPI asks the next of its 4 sources in the same request, cheapest first, so one source going down does not fail your call.

Send a POST request to https://api.getanyapi.com/v1/run/twitter.search with your AnyAPI key in an "Authorization: Bearer" header and the input as a JSON body. The same key and the same wallet work on every AnyAPI endpoint.

No. You add US dollars to one prepaid AnyAPI balance and each request draws it down. There is no monthly plan and no minimum, and the same balance pays for every AnyAPI endpoint.

Yes. Install @getanyapi/sdk from npm for TypeScript or getanyapi from pip for Python. Both call every AnyAPI endpoint with the same key, and any HTTP client works too.

Yes. An agent can connect to the AnyAPI MCP server at https://api.getanyapi.com/mcp, or create its own free-trial key with one unauthenticated POST to https://api.getanyapi.com/agent/signup and call this endpoint over HTTP.