Key Takeaway: The official X (Twitter) API moved to pay-per-use pricing in 2026: about $0.005 per post read and $0.010 per profile, with no free tier and a 2-million-post monthly cap. Read-heavy workloads cost 90 to 99 percent less per record on third-party REST APIs, which use one API key, not OAuth.
By Sorsa Editorial · Updated June 4, 2026: refreshed the official X API costs for the April 20 pay-per-use changes, rebuilt the per-record cost comparison, and added verification and community endpoint coverage.
If a comparison still quotes a $200/month Basic plan or a $5,000/month Pro plan, it is pricing a model X no longer sells to new developers, and most "Twitter API alternative" roundups (along with Google's own AI summary for the query) still run on those dead numbers. Priced against what X actually charges today, the practical answer for almost any read-heavy workload is a flat-rate dedicated API. That is what we build: Sorsa API, an alternative Twitter/X API that runs up to 50x cheaper than the official API per record, counts one flat request whether you pull a single profile or a full page of search results, returns up to 100 tweets or profiles in a single batch call, and holds a flat 20 requests per second on every plan. The first call takes a few minutes behind one API key, with no developer-account approval to wait on.
We have served more than 5 billion requests since 2022, so this is the comparison we give teams who write to us mid-migration: the real per-record cost of every option, the features the cheap providers quietly drop, and why Sorsa is the one we would put under a production pipeline. Where a different tool genuinely fits a narrower job we say so, but that is the exception here, not the recommendation.
Table of Contents
- What are the main alternatives to the Twitter/X API?
- What does Twitter/X data actually cost in 2026?
- How to compare Twitter API providers fairly
- The endpoints most alternatives skip
- How do you migrate from the official X API?
- In practice: trimming a fintech pipeline's bill
- Frequently asked questions
- How we researched and verified this guide
- Getting started
What are the main alternatives to the Twitter/X API?
Alternatives to the official Twitter/X API fall into four groups: dedicated X data APIs that return structured JSON from a single endpoint, large web-scraper platforms that offer X as one source among many, marketplaces where independent developers sell their own scrapers, and free open-source libraries you host and maintain yourself. For most production read workloads, a dedicated X data API is the cheapest and most stable choice.
Here is how the leading options compare on the numbers that decide a build. All figures reflect public pricing verified in June 2026.
| Provider | Type | Pricing model | ~Cost / 1K tweets | ~Cost / 1K profiles | Batch (100/call) | Communities & Lists | Verification checks |
|---|---|---|---|---|---|---|---|
| Sorsa API | Dedicated X API | Flat per request | ~$0.10 | ~$0.01 | Yes | Yes | Yes (5 endpoints) |
| TwitterAPI.io | Dedicated X API | Per tweet / profile | $0.15 | $0.18 | No | No | No |
| Bright Data | Scraper platform | Per record | ~$1.50 | ~$1.00 | No | No | No |
| Apify | Marketplace | Per compute + usage | ~$0.40 | Varies | No | Varies | No |
| Data365 | Multi-platform | Subscription + credits | ~$0.60 | ~$5.40 | No | No | No |
The spread is not subtle. On a per-record basis the gap between the cheapest dedicated API and an enterprise scraper is more than 10x, and against the official API it runs from 50x to several hundred times depending on whether you batch. The rest of this section explains what each provider is actually good for.
Sorsa API
Sorsa is a dedicated X data API built for read-heavy pipelines, and it is the option we recommend for most teams for three concrete reasons.
First, pricing is flat: one API call counts as one request from your quota whether you pull a single profile or search results, and the author profile inside every tweet response is included at no extra charge. Plans run $49/month for 10,000 requests (Starter), $199/month for 100,000 (Pro), and $899/month for 500,000 (Enterprise), with a flat 20 requests per second on every tier, not just the expensive one.
Second, the batch endpoints change the math no per-record competitor can match. A single call to /tweet-info-bulk returns up to 100 complete tweets, and /info-batch does the same for profiles, each counting as one request.
Third, coverage is broad: 40 endpoints across 8 categories, including communities, X Lists, and engagement verification that other alternatives do not offer. Setup takes a few minutes with a single ApiKey header and no developer-account approval, and the service is read-only, which removes a whole class of account-suspension risk that scrapers carry. Average response time sits near 300ms. The one thing Sorsa does not do is write: no posting, liking, or DMs (more on that below).
TwitterAPI.io
TwitterAPI.io is the closest direct competitor and a reasonable pick if you want pure pay-as-you-go with no monthly commitment. It charges per item, around $0.15 per 1,000 tweets and $0.18 per 1,000 profiles, and covers the core surface of tweets, profiles, followers, and search.
The catch is the billing unit. Because every record is metered, a search that returns 20 tweets plus their author profiles bills for both, and there is no batch endpoint to amortize lookups. If your volume is low and bursty, that flexibility is genuinely useful. If it is steady or profile-heavy, the per-record model costs more than a flat request and gives you less control over your monthly bill.
Bright Data
Bright Data is an enterprise scraping platform with a very large proxy network, and it makes sense when you need many platforms under one vendor and have the budget for it. Its X data starts around $1.50 per 1,000 records for fresh scrapes and $2.50 per 1,000 for pre-collected datasets.
For X-only read work it is the priciest option per record by a wide margin, and delivery is often asynchronous: you submit a job and collect results later, which rules it out for anything real-time. It is built for bulk historical and multi-source data acquisition, not for a low-latency request-response API.
Apify
Apify is a marketplace where independent developers publish Twitter scraping "actors." Pricing combines a platform fee (around $49/month) with per-run compute, and a popular tweet actor lands near $0.40 to $0.50 per 1,000 tweets.
The tradeoff is reliability. Quality and uptime depend entirely on the individual actor's author, support falls on that developer rather than the platform, and actors break when X changes its defenses. It is fine for a one-off extraction. We would not put a marketplace actor under a production pipeline that has to run next quarter.
Data365
Data365 is a multi-platform API (X, Instagram, TikTok, Facebook, Reddit) on a subscription-plus-credits model starting around $300/month for 500,000 credits. It is worth a look only if you genuinely need several networks from one contract.
The credit system is uneven: a post costs 1 credit but a profile costs 9, so profile-heavy workflows get expensive fast (roughly $5.40 per 1,000 profiles at the entry tier). Retrieval is asynchronous, typically one to five minutes, so it is not a real-time option either. A newer entrant, Netrows, follows a similar credit model paired with LinkedIn data, and is aimed at teams that want both networks rather than the lowest X cost.
Open-source libraries (snscrape, twscrape, twikit)
Open-source scrapers cost nothing to license, and that is the entire pitch. In practice they are the most expensive option for any team that values its time. X changes its anti-bot measures regularly, which breaks these libraries on a recurring basis, and running them at scale means rotating proxies, throwaway accounts, and an engineer who can debug scraping at odd hours.
They are viable only if you already have dedicated infrastructure capacity and your use case tolerates frequent outages. For a side-by-side of what currently works and what breaks, see our Twitter scrapers breakdown, and for the hosted approaches, how to scrape Twitter in 2026.
What does Twitter/X data actually cost in 2026?
The official X API charges per resource fetched: about $0.005 per post read and $0.010 per user profile, billed individually. A single search returning 20 posts plus author data therefore costs roughly $0.30, while the same result from a flat-rate provider is one request. This per-record model is the core reason third-party APIs come out 50x or more cheaper for reads.
The official X API: pay-per-use pricing
X retired its subscription tiers for new developers and now sells credits you spend as you call. There is no free tier and no monthly allowance: you buy credits up front, and read endpoints stop once the balance hits zero. Authentication is OAuth 2.0 with a bearer token. Reads are billed by resource, so post reads run about $0.005 each, user and follower reads about $0.010 each, and "owned reads" of your own account data about $0.001 each.
Two limits catch teams off guard. There is a hard cap of 2 million post reads per month, after which post endpoints are blocked until the next cycle unless you negotiate an Enterprise contract that has historically started around $42,000/month. And the April 20, 2026 update reshaped writes: standard post creation rose to $0.015 per request, posts containing a URL jumped to $0.20, and follow, like, and quote-post endpoints moved to Enterprise-only with no self-serve access.
For the full endpoint-by-endpoint breakdown, including the 24-hour deduplication rule and the xAI credit kickback, see our X API pricing analysis and the deeper look at why the X API is so expensive. The rates above come from X's official developer pricing, verified in June 2026.
What 1,000 tweets really cost across providers
Headline prices mislead because providers define their unit differently: some charge per tweet, some per request that returns 20 tweets, some per "credit" that may or may not equal one record. Normalizing to a single data unit is the only honest comparison.
| Data unit | Official X API | Sorsa (Pro) | TwitterAPI.io | Bright Data | Data365 |
|---|---|---|---|---|---|
| 1 tweet (via search) | $0.005 | ~$0.0001 | $0.00015 | ~$0.0015 | ~$0.0006 |
| 1 profile (via follower list) | $0.010 | ~$0.00001 | $0.00018 | ~$0.001 | ~$0.0054 |
| 100 tweets by ID (batch) | $1.50+ | $0.00199 | not available | not available | not available |
The Sorsa figures come straight from the plan math: on Pro ($199 for 100,000 requests) each request is $0.00199, /search-tweets returns about 20 tweets per call (so ~$0.0001 per tweet), and /followers returns up to 200 profiles per call (so ~$0.00001 per profile).
The batch row is where the gap becomes absurd. Fetching 100 tweets with full author data is one $0.00199 request on Sorsa. On the official API the same data is 100 post reads ($0.50) plus 100 user reads ($1.00), so $1.50 minimum, a 750x difference on identical records. That is why the economics flip in favor of a third-party API once your read volume crosses roughly 10,000 posts a month.
How to compare Twitter API providers fairly
The criteria that actually decide a build are the pricing unit, how many items each request returns, whether batch is supported, and how much of the X surface the provider covers. Generic checklists like "data quality and ease of use" do not separate the options. These four do.
Pricing unit. Is it per request, per record, or per credit, and does a credit equal one item? You cannot compare two providers until you normalize them to cost per tweet and cost per profile, because a "credit" means something different on every platform.
Items per request. An endpoint that returns 20 tweets per call is fundamentally cheaper than one returning a single tweet at the same price. This one variable creates most of the real cost difference, and it never shows up in headline pricing.
Batch support. Can you fetch 100 tweets or 100 profiles in one call? Batch endpoints are rare among alternatives and cut bulk costs by roughly two orders of magnitude. Their absence is the single biggest hidden cost in per-record pricing.
Endpoint breadth. Most alternatives cover only search and profiles. The full X data surface is wider: user profiles and metadata, tweets and timelines, advanced search, followers and following graphs, X Lists, Communities, trends, and engagement verification. If your use case touches any of the latter categories, narrow providers force expensive workarounds. Sorsa covers all of them, which is why it works as both a general-purpose Twitter scraper and an affordable Twitter/X API in one.
The endpoints most alternatives skip
Verification and community endpoints are the features almost every alternative drops, and they are exactly what campaign, giveaway, and audience-monitoring workflows need. Without them, confirming that a user followed, retweeted, or commented means pulling entire lists and scanning them yourself, which is slow and expensive at scale.
Sorsa exposes five dedicated verification checks: /check-follow, /check-retweet, /check-comment, /check-quoted, and /check-community-member. Each answers a single yes/no question in one request instead of forcing a full follower or retweeter crawl.
The savings compound. A giveaway verification workflow requiring participants to follow, retweet, and comment, with 2,000 entrants and three checks each, is 6,000 requests, which fits inside the Starter plan with room to spare. Doing the same by paginating follower and retweeter lists manually consumes 10x to 50x more requests on any provider.
Community and List data is the other common gap. Sorsa also covers Communities and X Lists: community members and tweets, plus list members and list timelines, so monitoring a curated audience does not require a workaround.
How do you migrate from the official X API?
Migrating from the official X API to a third-party REST API is mostly simplification: you drop OAuth for a single key, flatten your response parsing, and remap a handful of endpoint paths. Teams we have helped usually finish a read-path migration in one to three days of one engineer's time.
The shape of the work:
-
Replace OAuth with one API key header. No bearer tokens, no callback infrastructure, no token rotation. Every request carries one
ApiKeyheader. -
Remap endpoint paths.
GET /2/users/by/username/:usernamebecomesGET /info?username=:username, and tweet search moves from GET to POST. The full mapping table lives in the migration guide. -
Flatten response parsing. The official API splits data across
data,includes, andmeta. A flat-rate provider returns everything inline, with author data embedded in each tweet, so you can delete yourexpansionshandling and separate user lookups. -
Switch pagination. Replace
pagination_token/next_tokenwithnext_cursor. Same concept, different field name.
Advanced Search syntax carries over unchanged, so existing queries usually transfer as-is (see the search operators cheat sheet). Our Twitter API Python guide covers the full read path in code, and our migration walkthrough covers the whole process step by step.
In practice: trimming a fintech pipeline's bill
A fintech analytics team came to us late in 2025 running a market-sentiment pipeline on the official Pro plan, paying around $4,800 a month. They ran keyword searches every 30 seconds, tracked mentions for roughly 200 ticker symbols, and pulled profiles for sentiment weighting, all read operations.
We moved the entire read path to Sorsa's Pro plan at $199/month. One backend engineer finished in two days, and the bulk of that time went to flattening the JSON parsing and swapping OAuth for the key header. The search queries transferred without changes because the Advanced Search syntax matched.
They kept a minimal official API setup for one thing only: posting automated alerts to their company account, the one job no read-only alternative can do. Net monthly saving was about $4,600, which tracks the general rule that switching read-heavy work off the official API lands somewhere between 30x and 50x cheaper. The numbers vary with workload, but the direction does not.
Frequently asked questions
Is there a free Twitter API alternative?
There is no reliable, production-ready free Twitter API. Open-source libraries such as snscrape, twscrape, and twikit cost nothing to license but break frequently and demand ongoing engineering time. Some providers offer trial credits rather than a free tier. For paid access without a free tier, Sorsa API starts at $49/month for 10,000 requests, and you can test its endpoints in the browser playground with no key first.
Which Twitter API alternative is cheapest for reading data?
For read-heavy workloads, a flat per-request API is cheapest because one call can return up to 20 tweets or 200 profiles for a single charge. Sorsa API on its Pro plan works out to roughly $0.10 per 1,000 tweets and $0.01 per 1,000 profiles, against about $5.00 and $10.00 on the official X API. Per-record competitors sit in between, typically $0.15 or more per 1,000 tweets.
Are third-party Twitter APIs legal?
Accessing publicly available data through a third-party API is generally lawful. The hiQ Labs v. LinkedIn ruling, affirmed in 2022, held that scraping public web data does not violate the US Computer Fraud and Abuse Act. X's terms of service still discourage unofficial access, so confirm compliance with your own legal team for sensitive or regulated use cases.
Can these APIs pull historical tweets?
Coverage of historical tweets depends on the provider. Sorsa API can reach posts back to 2006 through its search endpoints, as long as the content is still public on X. The official API's pay-per-use model also serves history, but at about $0.005 per post read, large archival pulls get expensive quickly. Some scraper platforms sell pre-collected datasets for bulk historical analysis.
Do I still need the official X API if I use an alternative?
You need the official X API only for write actions: posting, replying, DMs, liking, following, or running ads. Every third-party alternative is read-only and cannot act on a user's behalf. The most cost-effective setup for teams that need both is a hybrid: the official API for low-volume writes, and a flat-rate read API for high-volume data pulls.
What if I need more than 500,000 requests a month?
Volumes above 500,000 requests a month are handled on custom plans with dedicated rate limits. On Sorsa API, the published tiers top out at the Enterprise plan ($899/month for 500,000 requests at a flat 20 requests per second), and larger or higher-throughput needs are quoted directly. Talk to sales or reach the team on the Discord community.
Reviewed by Keksich, founder of Sorsa, marketer and X API researcher.
How we researched and verified this guide
This comparison comes out of running an alternative X API in production since 2022, and we tested every Sorsa figure here against the live endpoints rather than quoting a spec sheet. Sorsa prices and plan limits are taken from our own pricing page and API documentation; the official X API numbers come from X's published developer pricing, reflecting the April 20, 2026 update. We re-checked the public pricing of the five alternatives named above in June 2026 and used cost per individual record, not headline rates, so the figures stay comparable. Anything time-sensitive here was verified on June 4, 2026. For who we are and how to reach us, see our about page.
Getting started
If your pipeline reads tweets, profiles, followers, or search results, and especially if you need verification checks or community data, the fastest way to see the cost difference is to run a few calls yourself. The Sorsa API quickstart gets you to a first request in minutes with a single key, the playground lets you test endpoints with no key at all, and the free media downloader pulls photos and video from any public tweet. Starter access is $49 a month for 10,000 requests, every plan holds the same flat 20 requests per second, and nothing stands between you and your first call. Bring a real workload, price it against your current bill, and let the per-record math decide.