# TwitterAPIs vs twitterapi.io: Twitter Data at $0.04 per 1K

Canonical: https://www.twitterapis.com/twitterapis-vs-twitterapi-io
Description: A side-by-side look at TwitterAPIs and twitterapi.io: $0.04 versus $0.15 per 1,000 tweets, flat per-call billing, and no charge on empty searches.
Generated: 2026-09-14T03:00:37.867Z

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 HEAD-TO-HEAD

# TwitterAPIs vs twitterapi.io

Updated July 2026

## What is the difference between TwitterAPIs and twitterapi.io?

TwitterAPIs charges $0.0008 per call, about $0.04 per 1,000 tweets, while twitterapi.io charges $0.15 per 1,000 tweets, since twitterapi.io meters 15 credits per tweet and TwitterAPIs bills one flat rate per call. Both are pay-as-you-go alternatives to the official X API needing no developer account, return roughly 20 tweets per search request, authenticate reads with a bearer token, and seed new accounts with free credits. Rate limits are one axis where providers are hardest to compare, because the unit changes between them, which is worked through at [which Twitter API publishes comparable rate limits](/answers/twitter-api-rate-limits-in-a-comparable-unit).

We priced our calls at $0.0008 each (source: our published pricing), which is $0.04 per 1,000 tweets, against twitterapi.io's $0.15 for the same 1,000.

Quick answer

TwitterAPIs is the cheaper twitterapi.io alternative for read-heavy Twitter and X data: it bills a flat $0.0008 per call, about $0.04 per 1,000 tweets, while twitterapi.io meters 15 credits per tweet and lands near $0.15 per 1,000. Both skip the official X developer account, return roughly 20 tweets per search request, and authenticate reads with a bearer token. Pick twitterapi.io only if you already run on its credit model.

TwitterAPIs RECOMMENDED

$0.04

/1K tweets

$0.0008/call Up to ~20 tweets/call Flat rate

twitterapi.io

$0.15

/1K tweets

15 credits/tweet Up to ~20 tweets/call Credit-based

## TL;DR: The Verdict

If you are wiring up a Twitter data pipeline, **TwitterAPIs is the choice that pencils out** for most teams. The headline number is $0.04 per 1,000 tweets against $0.15 on twitterapi.io. Per search call you still get about 20 tweets, but TwitterAPIs hands you $0.50 in starter credit versus twitterapi.io's $1.00, and its flat $0.0008 call price means you never reconcile a credit balance, never pay a floor on empty searches, and never thread a residential proxy through your write jobs. twitterapi.io earns a second look only when you specifically need an endpoint it covers and TwitterAPIs does not, such as communities, spaces, or webhook streams. For everyday search, timelines, profiles, followers, and write actions, TwitterAPIs comes in well under the credit-based bill.

 PRICING

## Price per 1,000 by Data Type

Standard TwitterAPIs calls are billed the same way, $0.0008 flat, whether you are pulling tweets, profiles, or follower lists. That works out to 50 calls and $0.04 for 1,000 tweets. twitterapi.io instead spends credits, and each data type burns a different amount, so the gap shifts by category while TwitterAPIs stays the cheaper line in all of them.

Data Type

TwitterAPIs

twitterapi.io

Savings

Tweets (search and timeline)

$0.04

$0.15

3.75x cheaper

User profiles

$0.04

$0.18

4.5x cheaper

Followers and following

$0.04

$0.15

3.75x cheaper

Verified followers

$0.04

$0.30

7.5x cheaper

Write actions (tweet, like)

$0.0008 to $0.0016

$0.002 to $0.003

Up to 2x cheaper

## The Feature Breakdown

Price is only one axis. The two also diverge on how you authenticate, how wide the endpoint catalog runs, whether rate caps apply, and what happens when a query comes back empty. twitterapi.io lists more categories on paper, including communities, trends, spaces, webhooks, WebSocket rules, and stream monitoring. TwitterAPIs concentrates on the endpoints most data jobs actually hit and pairs them with cheaper calls and a simpler key.

Feature

TwitterAPIs

twitterapi.io

Billing model

Flat per call, $0.0008

Credits, 15 per tweet

Cost per 1,000 tweets

$0.04

$0.15

Tweets returned per call

~20

~20

Signup credit

$0.50 (~12,500 tweets)

$1.00 (~6,667 tweets)

Floor charge per call

None, you pay actual cost

15 credits ($0.00015) even on 0 results

Read auth

Bearer token in Authorization header

API key in X-API-Key header

Write auth

auth\_token from browser or login endpoint

login\_cookie plus residential proxy

Endpoint count

109+

60+

Rate limits

600 req/min per key

3 to 20 QPS by balance; more advertised

Uptime SLA

99.9%

99.99% (claimed)

Response time

Under 2 seconds

~700ms in docs; 245ms 30-day status

Card required to start

No

No

## What the Gap Looks Like at Volume

Small per-tweet gaps turn into real money once volume climbs. Pull a million tweets and TwitterAPIs bills $40 where twitterapi.io bills $150, a $110 swing on one job. Run that nightly and the yearly difference reaches into the thousands.

Volume

TwitterAPIs

twitterapi.io

You Save

1,000 tweets

$0.04

$0.15

$0.11

10,000 tweets

$0.40

$1.50

$1.10

100,000 tweets

$4.00

$15.00

$11.00

1,000,000 tweets

$40.00

$150.00

$110.00

 SIDE BY SIDE

## Identical Call, Different Bill

The two requests look almost the same on the wire, and each returns roughly 20 tweets per search call. What changes is the invoice at the end of the month.

TwitterAPIs ($0.0008/call)twitterapi.io ($0.003/call)

Copy

```
curl -H "Authorization: Bearer YOUR_API_KEY" \
  "https://api.twitterapis.com/twitter/tweet/advanced_search?query=AI&product=Latest"

# Cost: $0.0008 per call, up to ~20 tweets
# That's $0.04 per 1,000 tweets
```

## Moving Over from twitterapi.io

The cleanest switch starts by funneling every Twitter data request through a single client module. Your jobs, dashboards, and billing code keep asking for the same business objects, tweets, users, timelines, and follower pages, so swapping providers becomes one adapter edit rather than a sweep across the whole codebase.

On the read side, four things move: the base URL, the auth header, the parameter names, and the response shape. twitterapi.io tends to use an `X-API-Key` header with credit metering. TwitterAPIs reads with `Authorization: Bearer YOUR_API_KEY` and bills each call flat. As long as your code already maps tweet IDs, author IDs, text, timestamps, public metrics, and media into your own fields, the layers downstream rarely need to change.

Treat write endpoints as their own task. TwitterAPIs signs browser-backed actions with an `auth_token`, whereas twitterapi.io may ask for a `login_cookie` plus a residential proxy to do the same work. If proxy details or cookies currently ride along in your job payloads, pull that out and let the provider client own auth instead.

## Switch-Over Checklist

-   Route every Twitter call through a single provider client before you touch any endpoint names.
-   Swap credit math for call counting: number of calls times $0.0008 for standard reads, which is $0.04 per 1,000 tweets.
-   Map each response down to the fields your app reads: id, text, author, timestamp, metrics, media.
-   Fire the same 20 to 50 test queries at both providers and diff the result counts before you cut over.
-   Point your alerts at request volume, failed calls, and empty-result searches instead of credit burn and minimum charges.

 INTEGRATION

## One Adapter, Either Provider

Pin everything provider-specific to a single file. With the details in one spot, comparing costs, testing a fallback, or migrating later all get a lot easier.

TwitterAPIs clienttwitterapi.io client

Copy

```
type SearchOptions = {
  query: string;
  product?: "Latest" | "Top";
};

export async function searchWithTwitterAPIs(
  { query, product = "Latest" }: SearchOptions,
  apiKey: string
) {
  const params = new URLSearchParams({ query, product });
  const response = await fetch(
    `https://api.twitterapis.com/twitter/tweet/advanced_search?${params}`,
    { headers: { Authorization: `Bearer ${apiKey}` } }
  );

  if (!response.ok) {
    throw new Error(`TwitterAPIs failed: ${response.status}`);
  }

  return response.json();
}
```

## What twitterapi.io Does Better

•

**A bigger catalog (60+ vs 109+):** twitterapi.io reaches into communities, spaces, trends, thread context, quote tweets, webhooks, WebSocket rules, and stream monitoring. When your product genuinely needs one of these corners, it is there.

•

**Live monitoring:** webhook and WebSocket rules that push new tweets from the accounts you are watching as they post.

•

**Academic discount:** half your credits back when you publish a paper using a .edu address.

## Where TwitterAPIs Pulls Ahead

✓

**3.75x lower per-tweet rate:** Tweets land at $0.04 per 1,000 against $0.15, so a million-tweet pull keeps $110 in your pocket.

✓

**4.5x lower per-profile rate:** Profile lookups run $0.04 per 1,000 where twitterapi.io charges $0.18.

✓

**7.5x lower verified-follower rate:** Verified-follower pulls cost $0.04 per 1,000 next to twitterapi.io's $0.30.

✓

**A billing model you can read:** One flat $0.0008 per call. No credit ledger, no per-item arithmetic, no floor charges.

✓

**Nothing owed on empty results:** A search that returns nothing still costs 15 credits on twitterapi.io. On TwitterAPIs it is the same flat $0.0008 as any other call.

✓

**More tweets per starter dollar:** TwitterAPIs starter credit is $0.50, good for about 12,500 tweets; twitterapi.io hands out $1.00, good for roughly 6,667. The dollar stretches further here.

✓

**Lighter write auth:** Writes sign with an auth\_token from your browser or the login endpoint. twitterapi.io wants a login\_cookie plus a residential proxy to do the same.

✓

**One flat rate ceiling:** twitterapi.io's QPS page ties throughput to your balance at 3 to 20 QPS, even as its docs promise more to some accounts. TwitterAPIs gives every key the same 600 req/min, which is 10 QPS, whatever the balance.

✓

**An MCP server for AI agents:** @twitterapis/mcp drops all 109 MCP tools straight into Claude, Cursor, and Windsurf. twitterapi.io ships nothing like it.

## Cost Down to a Single Tweet

### TwitterAPIs

$0.0008 per API call

÷ ~20 tweets per call

\= $0.00004 per tweet

\= $0.04 per 1,000 tweets

### twitterapi.io

15 credits per tweet

100,000 credits = $1

\= $0.00015 per tweet

\= $0.15 per 1,000 tweets

## Picking the Right Fit for Your Workload

### Data collection

When the bill scales with request volume, like keyword search, account timelines, user enrichment, and follower exports, TwitterAPIs is the cheaper engine.

### Niche endpoints

Reach for twitterapi.io if your build leans on communities, trends, spaces, WebSocket rules, or stream monitoring that TwitterAPIs has not added yet.

### Write workflows

Pick TwitterAPIs when you want browser-token writes and would rather not drag residential proxy config through the app.

Still shortlisting vendors? Begin at the [TwitterAPIs homepage](/) for the overview, then line up nearby options in the [Twitter API alternatives guide](/twitter-api-alternatives). To size a budget, the [Twitter API cost calculator](/twitter-api-cost-calculator) turns a monthly tweet count into an expected spend in seconds.

Weighing the official X API too? The guides on [Twitter API v2 vs TwitterAPIs](/blogs/twitter-api-v2-vs-twitterapis), [getting a Twitter API key](/blogs/how-to-get-twitter-api-key), and [Twitter API rate limits](/twitter-api-rate-limits) walk through the setup friction, access limits, and day-to-day operational load that a flat per-tweet number never captures.

## How X changed its API pricing

Two products priced within a few cents of each other only make sense against the thing they are both alternatives to, and that benchmark moved twice in three years. Knowing which version of it you are carrying in your head matters, because most comparison content quotes a plan that no longer exists.

The first change was the end of free-at-scale access and the arrival of fixed subscription tiers. That is the era that produced the $200 Basic and $5,000 Pro figures still quoted in most budget spreadsheets, and it is the era that created this entire third-party category, because 15,000 reads a month for $200 does not price a research project, a monitoring product, or an agent.

The second change was quieter and larger. In February 2026 X shelved fixed self-serve subscriptions and moved to consumption billing, priced per resource read rather than per month. Basic then went further: X deprecated the legacy plans outright, monthly and annual alike, and moved its remaining subscribers onto pay-per-use from 1 June 2026. Pro stayed closed to new signups. If you were grandfathered onto a fixed plan, you are not any more.

The practical effect is that official access stopped being a subscription you could budget once a year and became a meter, with a hard ceiling of 3 million post reads a month above which an Enterprise contract is mandatory. That is worth knowing before you compare two third-party rate cards, because it changes what you are comparing them to.

## The official X API: pay-per-use rates

Read from X's own pricing documentation on 13 August 2026, the current self-serve rate card is short.

Tier

Rate

Practical meaning

Free

$0

Write-centric, around 100 reads a month. Not a data tier.

Reads

From $0.005 per resource

$0.005 per post read, $0.010 per user read. Roughly $5 to $10 per 1,000 tweets.

Writes

From $0.015 per request

$0.015 per post, $0.20 if it carries a URL. Hard cap of 3M post reads a month.

Enterprise

Unpublished

Required past the 3M cap. A contract and a sales cycle, not a signup.

Put that read row beside the two products on this page and the ratio does the arguing. A million tweets is somewhere between $5,000 and $10,000 of official per-resource reads, about $150 on twitterapi.io's published rate, and about $40 here. The gap between the two third-party options is a rounding error next to the gap between either of them and the first-party meter.

## Third-party pay-per-call APIs

twitterapi.io and TwitterAPIs are the same species: a hosted REST service that reads public X data, sells it by usage rather than by subscription, and requires no X developer account. That shared shape is why this comparison comes down to billing mechanics rather than to capability, and it is worth being explicit about what the whole category does and does not give you.

What it gives you: no application to write, no OAuth flow for reads, a key that works on the first request, a bill that tracks usage, and someone else maintaining the extraction when X changes something. What it does not give you: contractual guarantees from X, writes through X's own consent screen, or access to private data. Any vendor in this category promising the last one is describing something other than public data.

Inside the category, the meaningful splits are the billing unit and what happens on an empty result. Per-call billing charges for the request. Per-item billing charges for what came back, which sounds fairer and means a broad search that returns nothing can still cost you, and a dense page can cost more than a thin one for identical work. Credit systems add a third layer, where the credit-to-call ratio is the number to check rather than the credit price.

The evaluation that actually settles it takes an afternoon: run your ten real queries against both, record the bill and the row counts, and compare those rather than the rate cards. Both products here let you do that on a starter credit without a card.

## The dimension-by-dimension comparison

The tables above give the rows. Read one at a time, here is which of them actually changes an outcome and which is decoration.

### Rate, and what the rate is per

This is the row that decides most invoices, and it is only comparable once you normalise the unit. Our $0.0008 buys a call returning about 20 tweets, which is $0.04 per 1,000. A per-tweet or per-item rate is already normalised and needs no assumption, which is a genuine advantage of that model when your pages come back thin.

### What an empty result costs

Under per-item billing a search that matches nothing bills nothing, which is the better outcome for exploratory work with a lot of misses. Under per-call billing it costs one call. Which way this cuts depends entirely on your hit rate, so measure it rather than reasoning about it.

### Predictability before the run

A per-call price is knowable in advance: calls times rate, done. A per-item price is knowable only afterwards, because you do not know how many items a query returns until it returns them. For a budget you enforce in code rather than reconcile at month end, that difference is the whole point.

### Route coverage and agent access

We publish 109 endpoints and an MCP server exposing 109 tools at the same rate as a direct call. Coverage matters most for agent workloads, where the call chosen at run time is not the one you planned for, and least for a fixed collector touching three routes forever.

### Throughput

One flat ceiling of 600 requests a minute here, independent of spend. Check any competitor's ceiling against your backfill rather than against your steady state, because the steady state never touches it and the backfill always does.

## The main alternatives to the Twitter and X API

If you are on this page you have probably already narrowed to two. For completeness, the field has five shapes, and most buying mistakes are a shape mismatch rather than a vendor mismatch.

-   **The official X API.** Correct when you need first-party guarantees or writes through X's own consent screen. Priced per resource.
-   **Metered REST APIs.** Both products on this page. No developer account, no OAuth for reads, and a bill that tracks the work.
-   **Marketplace listings.** The same class of service bought through an intermediary, which normalises auth and billing and adds a margin plus a second support boundary.
-   **Scraping platforms billed by compute.** Right when Twitter is one of many sources and you want one orchestration layer. The unit is run time and memory, not rows, which is harder to forecast.
-   **Self-hosted open-source libraries.** Free to licence, and you own the proxies, the blocks and the maintenance. Genuinely right for a hobby project.

Our [alternatives roundup](/twitter-api-alternatives) prices every vendor we have measured in one table, including the ones that beat us on a specific axis.

## What Twitter and X data actually cost in 2026

One million tweets is a useful unit because it is large enough that the rate card stops being an abstraction. At official per-resource read rates that is somewhere between $5,000 and $10,000. On twitterapi.io's published $0.15 per 1,000 it is about $150. Here it is about $40, and the rate does not change with volume, so there is no tier at which any of those three numbers moves.

Three costs sit outside that headline and are worth pricing before you decide. First, the cost of an empty result, which is zero under per-item billing and one call under per-call billing. Second, the cost of a retry, which under any usage model you pay for twice. Third, the cost of re-running work you already have, which is the largest of the three for most teams and is solved by caching rather than by choosing a vendor.

And one cost that never appears on a rate card: the time spent maintaining an integration when the provider breaks and nobody tells you. That is not measurable in advance, which is exactly why it is worth asking both vendors how you would find out.

## Quick Decision Guide

### Go with TwitterAPIs when you...

-   ✓ Want the lowest per-tweet rate, $0.04 per 1,000 against $0.15
-   ✓ Prefer flat per-call billing with no credit bookkeeping
-   ✓ Do not want a charge on searches that come back empty
-   ✓ Need to write without wiring up residential proxies
-   ✓ Are running a pipeline where small per-call costs add up
-   ✓ Want more tweets per dollar from the $0.50 signup credit

### Go with twitterapi.io when you...

-   • Depend on niche endpoints such as communities, spaces, or trends
-   • Need live monitoring through webhooks or WebSocket
-   • Are in academia and can claim the 50% .edu discount
-   • Want the full 60+ endpoint catalog and accept paying more per tweet

Sources researched May 4, 2026: [twitterapi.io pricing](https://twitterapi.io/pricing), [twitterapi.io QPS limits](https://twitterapi.io/qps-limits), [twitterapi.io docs](https://docs.twitterapi.io/introduction), [advanced search docs](https://docs.twitterapi.io/api-reference/endpoint/tweet_advanced_search), [write-action docs](https://docs.twitterapi.io/api-reference/endpoint/follow_user_v2), and [TwitterAPIs pricing](https://www.twitterapis.com/pricing).

By the numbers

## TwitterAPIs vs twitterapi.io, in numbers.

Sourced figures behind the price and coverage gap.

-   TwitterAPIs charges $0.0008 per call and returns about 20 tweets each, which works out to $0.04 per 1,000 tweets. [(TwitterAPIs pricing, 2026)](/pricing)

-   twitterapi.io meters 15 credits per tweet, so the same 1,000 tweets lands near $0.15, close to 4 times the TwitterAPIs rate. [(TwitterAPIs pricing, 2026)](/pricing)

-   TwitterAPIs documents 109 endpoints and exposes 109 native MCP tools behind one Bearer key. [(TwitterAPIs docs, 2026)](https://docs.twitterapis.com/docs)

-   The official X API bills post reads pay-per-use at $0.005 per resource, more than 6 times the TwitterAPIs per-tweet cost at scale. [(X Developer Platform, 2026)](https://developer.x.com/#pricing)

-   A new TwitterAPIs account starts with $0.50 in free signup credit, roughly 12,500 tweets, with no credit card required. [(TwitterAPIs pricing, 2026)](/signup)


## Common Questions: TwitterAPIs vs twitterapi.io

### Does TwitterAPIs cost less than twitterapi.io?

It does. Tweets run $0.04 per 1,000 on TwitterAPIs versus $0.15 on twitterapi.io, which is roughly 3.75x less for tweets, 4.5x less for profile lookups, and 7.5x less for verified-follower pulls. Read the tweet figure with its basis: ours assumes a full 20-tweet page, while theirs is metered per tweet returned, so on our own measured page sizes the tweet gap narrows to roughly 1.4x to 3.75x. The profile and follower figures are per-call on both sides and are not affected.

### Do you pay for empty results on twitterapi.io?

Yes. Even when a call returns nothing, twitterapi.io still applies its 15-credit floor, about $0.00015. TwitterAPIs charges the same flat $0.0008 for the call and nothing extra.

### How does write access compare across the two?

On TwitterAPIs, write endpoints take an auth\_token that you lift from your browser cookies or fetch via the login endpoint. twitterapi.io's V2 action endpoints call for login\_cookies plus a mandatory residential proxy on actions like follow, community operations, and profile edits. Teams that would rather not push proxy config into write jobs find the TwitterAPIs path lighter.

### Do both come with free signup credits?

Both do, and neither asks for a card up front. TwitterAPIs seeds $0.50, enough for around 12,500 tweets at $0.04 per 1,000. twitterapi.io seeds $1.00, which buys about 6,667 tweets at $0.15 per 1,000. Per dollar, TwitterAPIs returns more data.

### Can I move from twitterapi.io to TwitterAPIs without rewriting the whole app?

Most of the time, yes. The usual edits are the base URL, swapping the X-API-Key header for Authorization: Bearer, and remapping a few endpoint names or response fields inside one adapter. The smoothest route is to wrap your Twitter provider in a small client module first, then leave the downstream business logic alone.

### What do twitterapi.io reviews and Reddit threads actually say?

The praise in reviews and on Reddit tends to land on two things: a broad catalog of 60+ endpoints covering communities, spaces, trends, and webhooks, and response times under a second. The recurring gripes in r/webscraping and developer forums are the credit model itself (15 credits a tweet, roughly $0.15 per 1,000), the 15-credit floor on empty calls, and the residential proxy needed for writes. If your work is mostly tweet search, profiles, or followers, TwitterAPIs generally comes in around 3.75x cheaper at $0.04 per 1,000 with plain bearer auth and no proxy to set up.

### How many tweets come back per call on each API?

Search-style endpoints on both services hand back up to about 20 tweets per call, and 20 is a ceiling on both, not a guarantee. Price is where they part: TwitterAPIs bills $0.0008 for the call however many tweets come back, while twitterapi.io meters 15 credits for each tweet returned and never charges less than 15. That difference is why the two per-1,000 figures are not the same kind of number. Their $0.15 per 1,000 is exact because they bill per tweet; our $0.04 per 1,000 assumes a full 20-tweet page. Measured across 396,817 of our own read calls, pages averaged about 13 tweets and search pages closer to 8, so our real delivered cost sits nearer $0.06 to $0.11 per 1,000. We are still cheaper on tweets delivered, by roughly 1.4x to 3.75x rather than a flat 3.75x, and per-call billing means a thin page costs you less with us and the same with them.

### Which API exposes more endpoints?

On paper twitterapi.io lists 60+ endpoints, communities, spaces, and trends among them. TwitterAPIs ships 109 endpoints aimed at the work most teams actually do: tweets, users, search, followers, and write actions like, retweet, bookmark, and follow. For the majority of projects that set covers the job at 3.75x less cost.

### What does pulling 1 million tweets cost on each?

TwitterAPIs: $40. A million tweets at 20 per call is 50,000 calls, and 50,000 times $0.0008 is $40. twitterapi.io: $150. A million tweets at 15 credits each is 15 million credits, and at 100,000 credits per dollar that is $150. The gap is $110 per million in TwitterAPIs's favor.

### Is twitterapi.io the right call for every use case?

No. Its wider catalog earns its keep on niche jobs, communities, trends, spaces, webhooks, WebSocket rules, or stream monitoring. But when your bread and butter is tweet search, timelines, profiles, followers, or write actions, and you value lower cost, a simpler key, and one flat rate ceiling that does not move with your balance, TwitterAPIs is usually the better landing spot.

### Which one wins for high-volume scraping or enrichment?

Across heavy tweet search, user enrichment, and follower collection, TwitterAPIs usually costs less, since each call is a flat $0.0008 and tweets land near $0.04 per 1,000. twitterapi.io still helps when you need its broader catalog, but a 3.75x tweet rate stings fast once you reach 100,000 or a million tweets.

[

TwitterAPIs as native tools in Claude Desktop and Cursor

Native MCP server, live on npm. Same pricing, with the read tools mapping onto the endpoints your AI already calls over REST.

See the MCP page

terminal

$ npx -y @twitterapis/mcp@latest

✓ MCP server live on npm

](/mcp)

### Move to the lower-cost API

$0.04 per 1,000 tweets, $0.50 in free credits, no card needed.

[Start Free](/signup?utm_source=aio&utm_medium=organic&utm_campaign=aeo-twitterapis-vs-twitterapi-io)[View Pricing](/pricing?utm_source=aio&utm_medium=organic&utm_campaign=aeo-twitterapis-vs-twitterapi-io)

## Next read

Continue exploring related pages:

[

TwitterAPIs vs Tweepy

Tweepy wraps the paid X API; TwitterAPIs is a managed REST API with no X account and one flat 600 req/min ceiling.

](/twitterapis-vs-tweepy)[

TwitterAPIs vs RapidAPI

Direct provider vs marketplace: skip the 10 to 20 percent RapidAPI platform fee and the monthly minimum, buy at $0.0008 a call, $0.04 per 1,000 tweets on full 20-tweet pages.

](/twitterapis-vs-rapidapi)[

Twitter API v2 pricing vs TwitterAPIs

Side-by-side endpoints, pricing, auth, and response shape, same data, 100x cheaper.

](/twitter-api-pricing)[

Twitter API alternatives and X API alternatives

Evaluate alternatives by cost model, limits, and integration fit.

](/twitter-api-alternatives)

[View API Docs](https://docs.twitterapis.com)[Start Free](/signup?utm_source=aio&utm_medium=organic&utm_campaign=aeo-twitterapis-vs-twitterapi-io)

[

TwitterAPIs ](/)

The cheapest pay-as-you-go Twitter and X API. $0.0008 per call, which works out to $0.04 per 1,000 tweets on a full 20-tweet page. No subscriptions and no developer account.

## Product / API

-   [Pricing](/pricing)
-   [Cost Calculator](/twitter-api-cost-calculator)
-   [Rate Limits](/twitter-api-rate-limits)
-   [MCP Server](/mcp)
-   [Integrations](/integrations)
-   [Language Clients](/sdk)
-   [Changelog](/changelog)
-   [Status](/status)

## Developers

-   [Documentation](https://docs.twitterapis.com)
-   [API Reference](https://docs.twitterapis.com/docs/reference/search/tweet-advanced-search)
-   [User Info](https://docs.twitterapis.com/docs/reference/user-reads/user-info)
-   [User Tweets](https://docs.twitterapis.com/docs/reference/user-reads/user-tweets)
-   [Advanced Search](https://docs.twitterapis.com/docs/reference/search/tweet-advanced-search)
-   [Verified Followers](https://docs.twitterapis.com/docs/reference/follower-graph/user-verified-followers)

## Resources / Compare

-   [Answers](/answers)
-   [Reviews](/reviews)
-   [Free Tools](/tools)
-   [Twitter ID Finder](/tools/twitter-id-finder)
-   [Get a Twitter API Key](/twitter-api-key)
-   [Official X API Comparison](/twitter-api-pricing)
-   [Twitter API Use Cases](/twitter-api-usecases)
-   [Twitter API Alternatives](/twitter-api-alternatives)
-   [Twitter Unofficial API](/twitter-unofficial-api)
-   [Twitter Free API](/twitter-free-api)
-   [TwitterAPIs vs twitterapi.io](/twitterapis-vs-twitterapi-io)
-   [TwitterAPIs vs GetXAPI](/twitterapis-vs-getxapi)
-   [TwitterAPIs vs TweetAPI](/twitterapis-vs-tweetapi)
-   [TwitterAPIs vs TwexAPI](/twitterapis-vs-twexapi)
-   [TwitterAPIs vs RapidAPI](/twitterapis-vs-rapidapi)

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