Key Takeaway: The official X (Twitter) API bills each record it returns: about $0.005 per post read and $0.010 per profile, with no free tier and a 2 million post monthly cap. Dedicated third-party APIs cut read costs to between $0.02 and $0.15 per 1,000 tweets, and the strongest now include a free way to test first.
By Sorsa Editorial · Updated July 3, 2026: re-verified official X API and third-party pricing after the April 20 changes, added a section on free ways to get X data, and refreshed the per-provider cost tables.
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 works out to $0.02 per 1,000 tweets on its Pro plan, up to 50x cheaper than the official API per record. One flat request covers a full page of search results or a 100-tweet batch call, every plan holds 20 requests per second, and every new account now starts with 100 free requests: no card, no expiry, enough for up to 10,000 tweets before you pay anything.
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.
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 (often called unofficial Twitter 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 and July 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 | from $0.02 | from $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 Sorsa per-1,000 figures use its bulk and follower endpoints, where a single request returns up to 100 tweets or 200 profiles; the request-by-request math is broken down in the next section. The spread is not subtle either way you count it: 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.
Which Twitter API alternative is best for your use case?
Most read work, from first build to production pipeline: Sorsa API, for the flat request model, batch endpoints, and the widest read coverage from $0.02 per 1,000 tweets.
Occasional, unpredictable pulls with no monthly plan: TwitterAPI.io, if metered per-record billing suits sporadic use.
Multi-source enterprise data acquisition with procurement requirements: Bright Data, if the budget allows and real-time delivery is not required.
One-off extractions and workflow automations: an Apify actor, accepting per-run variability.
Several social networks under one contract: Data365 or a similar multi-platform credit API.
Zero budget and spare engineering time: open-source libraries, accepting breakage as a running cost.
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, the unit economics. Pricing is flat: one API call counts as one request from your quota whether it returns a single profile or a full page of search results, and the author profile inside every tweet response is included at no extra charge. On the Pro plan ($199/month for 100,000 requests) that works out to about $0.02 per 1,000 tweets and $0.01 per 1,000 profiles. Entry access starts at $49/month for 10,000 requests (Starter), Enterprise runs $899/month for 500,000, and every tier holds the same flat 20 requests per second, 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, /info-batch does the same for profiles, and /followers pages through 200 profiles at a time, 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, average response time sits near 300ms, and every new account starts with 100 free requests that never expire and need no card: enough to run up to 10,000 tweets through a real workload before paying anything. 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 well-known competitor and a reasonable pick if you want pure pay-as-you-go with no monthly commitment. It charges per item, $0.15 per 1,000 tweets and $0.18 per 1,000 profiles, covers the core read surface of tweets, profiles, followers, and search, and hands new accounts roughly $0.10 in one-time trial credits.
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 bulk lookups. Metered billing has a place for genuinely sporadic use, but the moment volume becomes steady or profile-heavy, per-record pricing costs more than a flat request and the monthly bill drifts with usage instead of staying fixed. The $0.10 trial credit covers only a few hundred records before you are paying per item.
GetXAPI, Netrows, and the newer per-record entrants
A wave of newer providers competes below TwitterAPI.io's headline rate. GetXAPI lists $0.05 per 1,000 tweets on prepaid credits, and Netrows pairs X endpoints with LinkedIn data behind demo-gated custom pricing. The rates undercut the incumbents, but the model carries the same per-record ceiling: every tweet and profile is metered individually, published rates apply per record with no flat-plan option, and the track records are short, which matters when a pipeline has to survive the next change on X's side. Worth a quote if you are already committed to per-record billing; not a reason to accept per-record economics in the first place.
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.
RapidAPI is the other marketplace route: it lists dozens of third-party Twitter APIs behind one billing layer, with platform fees added on top of the underlying provider's price, so the same data usually costs less bought direct. It is convenient for one-click integration across many data sources, not for the lowest per-tweet cost.
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, and similar credit-based multi-platform APIs such as SociaVault follow the same pattern.
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.
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, re-verified in July 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 (one batch call) | $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 costs $0.00199. /tweet-info-bulk returns up to 100 tweets per call, which is $0.02 per 1,000 tweets; /search-tweets returns about 20 per call, which is roughly $0.10 per 1,000; /followers returns up to 200 profiles per call, which is about $0.01 per 1,000 profiles. Even the least favorable of those bases undercuts every per-record rate in the table above.
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.
Is there a free Twitter API alternative in 2026?
There is no production-ready free Twitter API in 2026: the official API sells prepaid credits with no free allowance, so a genuinely free start comes from third-party providers. The most usable option is a free request grant with no card attached. Every new Sorsa account includes 100 free requests that never expire, and because one request can return up to 100 tweets or 200 profiles, the grant covers up to 10,000 tweets or 20,000 profiles: enough to run a real workload end to end before paying anything. The full plan pricing starts at $49 a month once the free requests run out, and a browser playground runs live requests with no signup at all.
The genuinely free-to-license route is open-source scrapers (snscrape, twscrape, twikit), which cost nothing but are the most expensive to operate: they break whenever X changes its defenses and need proxies, throwaway accounts, and an engineer on call. For the state of the official API's free access, see whether the Twitter API is still free in 2026.
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, how much of the X surface the provider covers, and how you can test before paying. Generic checklists like "data quality and ease of use" do not separate the options. These five 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 free evaluation path. A provider that only sells prepaid credits makes you price the evaluation itself. Look for a free path wide enough to run your actual workload: free requests measured in thousands of records, or at minimum a live sandbox that shows real responses before you commit.
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. The full X data surface spans eight endpoint categories: user profiles, tweets and timelines, search, verification checks, communities, X Lists, audience analytics, and technical utilities such as ID conversion. Without the verification and community categories, 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 ApiKey header.
Remap endpoint paths. GET /2/users/by/username/:username becomes GET /info?username=:username, and tweet search moves from GET to POST. The full mapping table lives in the step-by-step migration guide.
Flatten response parsing. The official API splits data across data, includes, and meta. A flat-rate provider returns everything inline, with author data embedded in each tweet, so you can delete your expansions handling and separate user lookups.
Switch pagination. Replace pagination_token / next_token with next_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). A practical order of operations: port the read path first, run it against the 100 free requests, and only then move billing. Our Twitter API Python guide covers the full read path in code.
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 a read-only alternative does not do. Net monthly saving was about $4,600, a 96 percent cut, which is the range read-heavy migrations typically land in. The numbers vary with workload, but the direction does not.
FAQ
Is there a free Twitter API alternative?
There is no production-ready free Twitter API in 2026. Open-source libraries such as snscrape, twscrape, and twikit are free to license but break often and demand ongoing engineering time. Most paid providers offer a small one-time trial credit of around $0.10. Sorsa API includes 100 free requests on every new account, enough for up to 10,000 tweets, with no credit card and no expiry.
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 100 tweets or 200 profiles for a single charge. Sorsa API works out to about $0.02 per 1,000 tweets and $0.01 per 1,000 profiles on its Pro plan, against roughly $5.00 and $10.00 on the official X API. Per-record competitors sit in between, typically $0.05 to $0.18 per 1,000 records.
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 reaches posts back to 2006 through its search endpoints, as long as the content is still public on X. The official API also serves history on its pay-per-use model, 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.
Can an alternative post, like, or reply on X?
Write actions run through the official X API: as of April 2026 it prices standard posts at $0.015 per request and URL posts at $0.20, with follow, like, and quote-post endpoints moved to Enterprise contracts. Read-focused alternatives like Sorsa are read-only by design, which keeps API usage off user accounts. Teams that need both run a hybrid: official API for writes, flat-rate API for reads.
How we researched and verified this guide
Reviewed by Keksich, founder of Sorsa, marketer and X API researcher.
This comparison comes out of running an alternative X API in production since 2022, first as TweetScout API and now as Sorsa, and every Sorsa figure here was tested against the live endpoints rather than quoted from a spec sheet. Sorsa prices and plan limits come from our own pricing page and API documentation. The official X API numbers reflect X's published developer pricing after the April 20, 2026 update, re-verified on July 3, 2026, alongside the dedicated-API rates named above; scraper-platform rates were last re-checked in June 2026. Costs are compared per individual record rather than by headline rate, so the figures stay comparable. 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 the numbers on your own workload. Create an account, take the 100 free requests (no card, they never expire), and point a ported read path at them; the quickstart gets you to a first call in minutes with a single key. Paid access starts at $49 a month for 10,000 requests, every plan holds the same flat 20 requests per second, and the effective rate works out from $0.02 per 1,000 tweets. Bring a real workload, price it against your current bill, and let the per-record math decide.