Best Twitter (X) Scrapers in 2026: What Works, What Breaks, and What You Should Use Instead
Key Takeaway: Twitter scrapers extract public X.com data through browser automation or proxy networks. The best managed options in 2026 are Bright Data (enterprise), Apify marketplace (flexible pricing), and Octoparse (no-code). But scrapers carry inherent reliability and cost risks that most comparison articles ignore. For structured data access without scraping infrastructure, a dedicated X data API is a more predictable alternative.
Last updated: March 25, 2026
Table of Contents
- What Is a Twitter Scraper (And What It Is Not)
- Managed Scraping Services
- Apify Marketplace: The Budget Option (And Its Hidden Costs)
- No-Code Twitter Scrapers
- Scrapers vs. Dedicated X Data APIs
- What Twitter Scraping Actually Costs
- FAQ
- Getting Started
What Is a Twitter Scraper (And What It Is Not)
A Twitter scraper is a tool that extracts public data from X.com without using the official X API. It works by automating browsers, rotating proxies, and reverse-engineering X.com's internal endpoints to pull tweets, profiles, and engagement data.
If you search for "twitter scraper" today, you will find four very different categories of tools mixed together as if they were the same thing. They are not.
Managed scraping services like Bright Data and Data365 run scraping infrastructure on your behalf. You send a request, they handle proxies, browser automation, and anti-bot bypass, and return structured data. Enterprise-grade but expensive.
Marketplace scrapers like those on Apify are community-built scripts that run on a shared platform. Pay-per-result pricing. Quality and reliability vary by actor.
No-code scrapers like Octoparse and PhantomBuster provide visual interfaces and pre-built templates. Good for non-developers, limited for custom workflows.
Dedicated X data APIs like Sorsa API are a different category entirely. They are not scrapers. They return structured X data through REST endpoints with a single API key in the header. No proxies, no browser automation, no token management. At Sorsa API, we have processed millions of X data requests, and that practitioner's perspective is what shapes this comparison.
The distinction matters because each category carries different trade-offs in reliability, cost, and maintenance. This guide breaks them down honestly.
If you want to build your own scraper from scratch, we have a separate technical guide on how to scrape X.com covering Playwright, open-source libraries, and the DIY approach.
Managed Scraping Services
These providers operate large-scale scraping infrastructure. You interact with an API or dashboard, and they handle everything behind the scenes: proxy rotation, browser fingerprinting, CAPTCHA solving, and retry logic.
Bright Data
Bright Data is the largest player in the web scraping space. They offer six pre-built Twitter scraper templates: posts by URL, posts by profile URL, latest posts from profile, posts by array of profiles, profile data by URL, and profile data by username.
What you get: Tweet IDs, author info, text, media URLs, engagement counts, timestamps. Profiles include bio, follower metrics, and verification status. Output in JSON, NDJSON, or CSV.
Pricing: Pay-as-you-go starts at $1.50 per 1,000 records. Subscription plans bring that down to $0.75/1K records (with a current 25% promotional discount). But there is a catch: the cheapest subscription plan is $499/month. If you need fewer than 500K records per month, you are overpaying for capacity you will not use.
Limitations: Their scraper templates can only return up to 100 posts per input URL. For larger data collection, you need to split requests across multiple inputs. Their sales process is enterprise-oriented. One Reddit user reported contacting Bright Data and receiving no response.
Best for: Enterprise teams that need guaranteed infrastructure and already use Bright Data's proxy network for other scraping tasks.
Data365
Data365 takes a different approach. Rather than dedicated Twitter scrapers, they offer a multi-platform Social Media API covering Twitter, Instagram, TikTok, Facebook, Reddit, and Threads through a single integration.
How it works: Asynchronous. You send a POST request to initiate data collection, poll for completion, then GET the results. Latency is 1-5 minutes, which rules out real-time monitoring but works fine for batch collection and research.
Pricing: Credit-based. Their Basic plan costs EUR 300/month ($325) for 500,000 credits covering one social network. Credits vary by data type: 1 credit per post, 5 credits per post with comments, 7 credits per search request, 9 credits per profile with info. The Standard plan at EUR 850/month ($920) gives 1,000,000 credits across three networks.
Those credit multipliers add up fast. Extracting 1,000 profiles costs 9,000 credits, which consumes nearly 2% of the Basic plan's monthly quota in a single batch.
Best for: Teams that need data from multiple social platforms through a single provider and can tolerate async latency.
How They Compare
| Bright Data | Data365 | |
|---|---|---|
| Approach | Dedicated Twitter scraper API | Multi-platform social media API |
| Delivery | Synchronous (real-time) | Asynchronous (1-5 min latency) |
| Minimum plan | $499/mo | ~$325/mo (EUR 300) |
| Cost per 1K tweets | $0.75 | ~$0.65 (1K credits) |
| Cost per 1K profiles | $0.75+ | ~$5.85 (9K credits) |
| Platforms covered | Twitter only (plus other scrapers) | Twitter, Instagram, TikTok, Facebook, Reddit, Threads |
| Uptime | Not published | 99% claimed |
| Free trial | 7 days | 14 days |
Apify Marketplace: The Budget Option (And Its Hidden Costs)
Apify is not a Twitter scraper. It is a platform where independent developers publish scraping scripts called "Actors." You pick an Actor, provide input (a username, search query, or tweet URL), and it runs on Apify's cloud infrastructure, returning structured data.
This model means prices are low. It also means quality, reliability, and maintenance depend entirely on which Actor you choose and which developer built it.
The Top Apify Twitter Actors
| Actor | Developer | Price per 1K items | Rating | Total Users | Key Detail |
|---|---|---|---|---|---|
| Tweet Scraper (Kaito) | twlo low | $0.25/1K tweets | 4.13 | 9.6K | Cheapest option. Adds mock data on empty results. |
| Twitter Scraper Unlimited | API Dojo | ~$0.30-0.40/1K | 4.21 | 19.7K | Event-based tiers. Cost per item rises with batch size. |
| Twitter Tweets Scraper | Monkey Coder | $0.50/1K | 4.93 | 3.7K | Simple, high reliability (99.3% success rate). |
| X Advanced Search | API Ninja | $0.35/1K | 4.94 | 1.2K | 50+ filters. Best for targeted searches. |
| Twitter Scraper PPR | Jan Danecki | $0.30/1K | 4.90 | 5K | Profiles, search, trends, responses. |
| Twitter User Scraper | API Dojo | $0.40/1K profiles | 4.05 | 4.8K | Followers, following, retweeters. |
Ratings range from 4.05 to 4.94. That spread tells you something: the experience varies dramatically depending on which Actor you use.
What Apify Gets Right
The pay-per-result model is genuinely developer-friendly. You can test an Actor with a few dollars, and the Apify platform handles scheduling, storage, webhooks, and integrations with Make, Zapier, and n8n out of the box. For one-off scraping jobs or prototyping, this flexibility is hard to beat.
The Real Cost of Apify Scraping
Here is what comparison articles do not tell you.
You need a paid Apify subscription for production use. Every popular Twitter Actor limits free-tier users to 10-20 results per run. The API Dojo actors explicitly state: "Free users can retrieve a maximum of 10 items with higher pricing." The Kaito actor: "Free users are restricted in the number of tweets they can scrape." To remove these limits, you need a paid Apify plan starting at $49/month. That is a fixed overhead on top of every per-result fee.
The cheapest Actor has a mock data problem. The Kaito Tweet Scraper ($0.25/1K) includes this disclosure in its README: "To ensure we can cover our costs on the Apify platform, we have a minimum charge per API call, even if the response contains no results. Thus, we returned N pieces of mock data." You pay even when the scraper finds nothing, and you get fake data mixed into your results that you need to filter out.
Event-based pricing is not straightforward. The API Dojo Twitter Scraper Unlimited uses a tiered system where cost per item actually increases with batch size. Scraping 5 queries costs $0.0004/item. Scraping 100+ queries costs $0.002/item. That is 5x more expensive at scale, which is the opposite of what you would expect.
Some Actors require residential proxies. The Web Harvester Twitter Scraper ($30/month rental) explicitly defaults to Apify's residential proxy group, which adds traffic-based costs on top of the rental and platform fees.
Community maintenance means single points of failure. Each Actor is maintained by one developer or small team. If they stop updating, the Actor breaks when X.com pushes its next anti-bot update, and you wait for a fix from someone who may have moved on. The rating spread (4.05-4.94) reflects this inconsistency.
For context, Sorsa API charges a flat rate per request with no platform fees, no compute charges, and no proxy costs. One /search-tweets call costs $0.0018 on the Enterprise plan and returns approximately 20 tweets. That works out to $0.09 per thousand tweets, less than a third of Apify's cheapest actor, with no hidden layers.
No-Code Twitter Scrapers
For non-technical users who need X data without writing code, two platforms dominate.
Octoparse
Octoparse offers pre-built Twitter scraper templates: tweets by keyword, tweets by URL, comments, followers/following. No login required. Cloud and local extraction with scheduling.
Pricing: Templates cost $0.30 per 1,000 lines. Platform plans start at $89/month. They claim GDPR compliance and include built-in residential proxies.
Best for: Marketing teams and researchers who need periodic Twitter data pulls without developer involvement.
PhantomBuster
PhantomBuster focuses on lead generation actions. Their Twitter Follower Scraper extracts follower data from public profiles, and they offer automation for liking, following, and other engagement actions.
Pricing: From $59/month. Input is limited to profile URLs or Google Sheets of URLs. You cannot search by keyword or hashtag.
Best for: Sales teams running outreach campaigns who need follower lists and basic profile data.
Both tools trade flexibility for simplicity. If your needs go beyond their templates, you will hit walls quickly.
Scrapers vs. Dedicated X Data APIs
This is the comparison most articles skip, because most articles are written by scraping companies.
Scrapers and APIs solve the same problem (getting X data) through fundamentally different architectures. That difference affects everything downstream: reliability, cost predictability, data completeness, and maintenance burden.
| Managed Scrapers | Apify Actors | No-Code Scrapers | Dedicated X Data APIs | |
|---|---|---|---|---|
| How it works | Proxy + browser automation | Community scripts on platform | Visual templates | REST API, structured endpoints |
| Setup | Hours | Minutes | Minutes | Minutes |
| Who maintains it | Provider's team | Individual community developer | Provider's team | Provider's team |
| Breakage risk | Medium | High | Medium | Low |
| Data completeness | Good | Varies by actor | Template-limited | Full: profiles, tweets, search, followers, communities, lists, verification |
| Pricing model | Per record + subscription | Per event/result + platform fee | Monthly subscription | Per request, flat rate |
| Real-time data | Yes (Bright Data) / Async (Data365) | Yes | Cloud-scheduled | Yes |
| Rate limits | Varies | Actor-dependent | Task-based | Fixed (e.g., 20 req/s) |
| Authentication | API key or dashboard | Apify account + API key | Account + dashboard | Single API key header |
When a Scraper Is the Right Choice
You are already invested in the Apify or Bright Data ecosystem for other platforms. You need write-access automation (PhantomBuster's follow/like actions). You have a one-off extraction task where setup cost matters more than ongoing reliability. You need data from a platform where no dedicated API exists.
When an API Is the Right Choice
You are building a production pipeline that cannot tolerate weekly breakages. You need predictable costs without platform fees, compute charges, and proxy surcharges. You need endpoints that scrapers do not offer: verification checks, community data, X Lists, batch operations. You want 99.9% uptime instead of hoping a community developer pushes a fix before your dashboard goes dark.
A marketing agency we worked with was spending around $340/month on a combination of Apify actors and residential proxies to monitor 200 competitor accounts. Two to three hours of weekly maintenance went into restarting failed runs, switching between actors when one broke, and deduplicating results. After migrating to Sorsa API's Pro plan at $199/month, they cut costs by over 40% and eliminated the maintenance entirely. The data came through the same REST calls every day, regardless of what X.com changed on their end.
Disclosure: Sorsa API is our product. We have aimed to keep this comparison balanced, but recommend testing any solution against your own workload before committing.
What Twitter Scraping Actually Costs
Most comparison articles list sticker prices. The real cost includes platform fees, minimum plan requirements, and the per-unit math of how much data you actually get for your money.
Cost per 1,000 Data Units
This is the number that matters. Not the plan price, not the per-request fee, but how much it costs to get 1,000 tweets or 1,000 profiles into your database.
| Data type | Sorsa API | Apify (cheapest actor) | Bright Data | Data365 |
|---|---|---|---|---|
| 1K tweets (search/timeline) | $0.09 | $0.25 + platform fee | $0.75 | ~$0.65 |
| 1K tweets (bulk by ID) | $0.018 | $0.25+ | $0.75 | ~$0.65 |
| 1K user profiles (followers) | $0.009 | $0.40 | $0.75+ | ~$5.85 |
| 1K profiles (batch lookup) | $0.018 | $0.40+ | $0.75+ | ~$5.85 |
| Minimum monthly spend | $49 | ~$49 (platform) + PPR | $499 | ~$325 |
Sorsa API prices calculated on the Enterprise plan ($0.0018/request). Search endpoints return ~20 items per request. Follower endpoints return up to 200 profiles per request. Batch endpoints handle up to 100 items per request. Apify prices are the stated PPR fee; actual cost is higher when including the required paid platform subscription ($49+/month).
The gap is largest for profile data. Sorsa API's /followers endpoint returns 200 profiles per request, making the effective cost $0.009 per thousand profiles. The cheapest Apify user scraper charges $0.40 per thousand. That is a 44x difference.
Monthly Cost by Scenario
| Scenario | Sorsa API | Apify (cheapest) | Bright Data | Data365 |
|---|---|---|---|---|
| 10K tweets/month | $49 (Starter) | ~$51 ($2.50 PPR + $49 platform) | $499 | ~$325 |
| 50K follower profiles/month | $49 (Starter, 250 requests) | ~$69 ($20 PPR + $49 platform) | $499+ | ~$325 (450K credits) |
| 100K tweets/month | $49 (Starter, 5K requests) | ~$74 ($25 PPR + $49 platform) | $499+ | ~$325 |
| 500K tweets/month | $199 (Pro, 25K requests) | ~$174 ($125 PPR + $49 platform) | $999+ | ~$325 (maxes Basic) |
| 2M tweets + 100K profiles/month | $899 (Enterprise) | ~$290+ PPR + $49 platform | Custom | ~$920+ (Standard) |
At lower volumes (under 500K tweets), Sorsa API and Apify are in a similar price range, but the Sorsa cost includes everything: data, infrastructure, and reliability. At the Apify price point, you are also spending time managing actor failures, deduplicating results, and monitoring runs.
At higher volumes, managed scrapers and Data365's minimum plans dominate the cost, regardless of how much data you actually pull.
FAQ
Is it legal to scrape Twitter (X) in 2026?
U.S. courts have broadly upheld that scraping publicly available data does not violate the Computer Fraud and Abuse Act, most notably in the hiQ v. LinkedIn ruling. However, X.com's Terms of Service explicitly prohibit scraping and include a liquidated damages clause for large-scale automated access. Major scraping companies continue to operate openly, but the legal landscape is nuanced. For a detailed breakdown including the ToS provisions and practical guidance, see our guide on scraping X.com.
What is the cheapest Twitter scraper?
On a per-tweet basis, Apify's Kaito Tweet Scraper at $0.25 per 1,000 tweets is the cheapest scraping option. But that price does not include the required Apify platform subscription ($49+/month for production use), and the actor has a known issue with injecting mock data into empty results. If you factor in total cost of ownership, a dedicated API can be cheaper: Sorsa API's search endpoints return approximately 20 tweets per request at $0.0018 each on the Enterprise plan, which works out to $0.09 per thousand tweets with no platform overhead.
Can I scrape Twitter without coding?
Yes. Octoparse offers visual Twitter scraper templates with cloud execution and scheduling. PhantomBuster provides follower scraping through a point-and-click interface. On the API side, Sorsa API's Playground lets you query any endpoint through a web UI without writing code, and the Search Builder helps you construct advanced queries visually. The playground itself is free to use; you just need an API key.
How much does the official X API cost in 2026?
X replaced its subscription tiers with a pay-per-use model. You buy credits upfront and pay per resource: $0.005 per post read, $0.01 per user profile, $0.01 per post created, with a cap of 2 million post reads per month on standard accounts. There are no free credits. For most read-heavy workloads, third-party alternatives are significantly cheaper. For a full breakdown of the new pricing model, see our X API pricing analysis. For details on rate limits per endpoint, we have a separate guide.
What data can you extract from Twitter with a scraper?
Most scrapers can extract tweets (text, media, engagement counts), user profiles (bio, followers, following, verification status), search results, and basic thread/reply data. What they typically cannot provide includes verification checks (did user A follow user B?), community membership data, X List management, follower category analytics, or batch operations across 100 tweets or profiles in a single call. These require purpose-built API endpoints.
Do Twitter scrapers still work in 2026?
Yes, but they break every 2-4 weeks when X.com rotates guest tokens, changes GraphQL identifiers, or adds new anti-bot measures. Managed services (Bright Data, Data365) handle updates internally. Apify actors depend on their individual community developers to push fixes. If you want a deeper understanding of why scrapers break and what X.com does to block them, read our technical guide to scraping X.com.
What is the difference between a Twitter scraper and a Twitter API?
A scraper extracts data by automating browser interactions or reverse-engineering internal endpoints. It requires proxies, handles rate limits, and can break when the target site changes. A dedicated API provides structured REST endpoints where you send a request with an API key and receive clean JSON. The data is the same; the delivery mechanism and reliability are fundamentally different.
Are there free Twitter scrapers?
Several open-source libraries (Twikit, TweeterPy, XActions) can scrape X.com for free, but they require coding, your own proxies, and a sacrificial X.com account that may get banned. Apify actors offer free tiers limited to 10-20 results per run. For a genuinely free way to explore X data, Sorsa API's free tools include a shadowban checker, user comparison tool, media downloader, and engagement calculator, all usable without an API key.
Getting Started
If you want to test the API approach before committing to any tool, the Sorsa API Playground lets you run queries against live X data through a browser interface. No code, no SDK, no setup. You need an API key from the dashboard, and then every endpoint is available to test.
For a full comparison of X data API providers (not scrapers), see our guide on Twitter API alternatives. For Python-specific integration examples, see our Twitter API Python guide. And for the DIY scraping path, our technical scraping guide covers Playwright, open-source libraries, and what to expect from building your own.
Daniel Kolbassen is a data engineer and API infrastructure consultant with 12+ years of experience building data pipelines around social media platforms. He has worked with the Twitter/X API since the v1.1 era and has helped over 40 companies restructure their data infrastructure after the 2023 pricing overhaul. Follow him on Twitter/X or connect on LinkedIn.