What The Old Bird API does and who it is for
The Old Bird is a third-party Twitter/X data API that abstracts away the complexity of working directly with Twitter's own API tier system. Instead of managing OAuth app credentials, developer portal approvals, and changing access policies, you call a single hosted API through RapidAPI and get back structured Twitter data. The target audience is developers building social listening tools, analytics dashboards, brand monitoring products, research applications, or any service that needs programmatic access to public Twitter activity.
What separates The Old Bird from bare-bones scraper wrappers is the addition of NLP endpoints: sentiment analysis, named entity recognition, and topic classification are offered alongside the raw data endpoints. Translation is also bundled, so you can retrieve a tweet and classify its sentiment without leaving the API surface. That combination makes it notably more useful for teams who would otherwise stitch together two or three separate services.
With a reported average success rate of 100% and over 11,795 marketplace subscribers, the API has demonstrated real-world reliability at scale. The one performance characteristic worth flagging upfront is an average latency of 2,553 ms. That figure rules out real-time, user-facing interactions — think dashboards that refresh on a schedule, batch enrichment jobs, or background analytics pipelines rather than sub-second autocomplete or live feeds.
Endpoint walkthrough
The 52 endpoints (40 documented in the public listing) fall into several clear groups:
User data
GET /user/details and its POST variant return public profile information for a Twitter account by username or ID. /user/tweets and /user/tweets/continuation paginate through a user's tweet timeline. /user/following and /user/followers-style endpoints let you traverse the social graph, each paired with a /continuation variant that accepts a pagination token from the previous response. /user/about surfaces Twitter/X transparency data.
Tweet-level data
/tweet/details returns metadata for a specific tweet. /tweet/replies and /tweet/retweets enumerate engagement — who replied, who retweeted, who favorited (/tweet/favoriters). All three have continuation endpoints for deep pagination.
Search and discovery
/search/search handles keyword search with filtering across top results, latest, videos, photos, and people — matching Twitter's own search filter modes. /hashtag/hashtag queries by hashtag. Both have continuation endpoints. /search/geo (Beta) adds location-based search. /trends/ returns the top 50 trending topics for a given WOEID (World ID), and /trends/available lists which locations have trend data. These beta endpoints are worth testing but treat their output as potentially unstable across API versions.
Twitter Lists
/lists/details returns metadata about a public Twitter List, and /lists/tweets retrieves its tweet stream — useful for curated topic monitoring without building your own follower graph.
AI text analysis
Three endpoints operate on arbitrary text strings (not restricted to tweet IDs):
/ai/sentiment-analysis— classifies tone as positive, negative, or neutral/ai/named-entity-recognition— extracts persons, organizations, and locations/ai/topic-classification— identifies recurrent themes
These work on whatever text you pass, so you can feed them tweet body text retrieved from other endpoints in the same pipeline.
Translation
POST /translate translates text and returns the detected source language if you do not specify one. POST /translate/detect identifies the language without translating. Together these cover the most common multilingual workflow: detect first, translate if needed.
Pricing breakdown
| Plan | Price / month | Requests / month | Rate limit | Overage per request | AI calls | Translation calls |
|---|---|---|---|---|---|---|
| BASIC | $0 | 200 | — | — | — | — |
| PRO | $9.99 | 10,000 | 5 / sec | $0.0050 | — | — |
| ULTRA (recommended) | $49.99 | 100,000 | 5 / sec | $0.0020 | — | — |
| MEGA | $299.99 | 1,000,000 | 10 / sec | $0.0006 | 10,000 | 1,000,000 |
The BASIC plan's 200 requests per month is barely enough for exploratory testing — at 200 calls you can verify response shapes and authenticate your integration, but you cannot sustain any real feature development on it. Moving to PRO at $9.99 jumps you to 10,000 requests, which supports light production use (roughly 330 calls per day). ULTRA at $49.99 with 100,000 monthly requests works out to about 3,300 per day, appropriate for a small analytics product. MEGA is the only plan that explicitly includes bundled AI (10,000 calls) and translation (1,000,000 calls) quotas, suggesting those features may be metered separately or deprioritized on lower plans — confirm behavior with the provider before building AI-heavy pipelines on PRO or ULTRA.
Overage pricing improves substantially at higher tiers: $0.005 per extra request on PRO versus $0.0006 on MEGA. If your usage is spiky, the ULTRA tier's $0.002 overage rate offers a reasonable middle ground.
Practical use cases
Social listening and brand monitoring — combine /search/search keyword queries with /ai/sentiment-analysis to classify how a topic or brand is being discussed over time. Continuation endpoints mean you can paginate deep into results without restructuring your API calls.
Competitive intelligence — use /user/tweets to track a competitor's posting cadence, then /tweet/retweets and /tweet/favoriters to measure engagement per post.
Trend research — /trends/ with different WOEIDs lets you compare what is trending in different cities or countries simultaneously; pair with /search/geo for location-specific discovery.
Multilingual content pipelines — retrieve tweets, run /translate/detect to identify language, translate if necessary, then apply /ai/named-entity-recognition to extract entities. This is all achievable within one API subscription.
List-based monitoring — if you or your clients maintain curated Twitter Lists, /lists/tweets provides a clean feed without requiring follower-graph traversal.
Limitations and things to check before integrating
Latency — 2,553 ms average latency means The Old Bird is unsuitable for synchronous user-facing requests where response time matters. Design your architecture around background jobs or scheduled fetches.
BASIC tier request ceiling — 200 requests per month is very tight even for a proof-of-concept sprint. Budget for at least PRO during active development.
AI and translation quota clarity — bundled AI and translation quotas are only explicitly listed for the MEGA plan. Before committing to a lower-tier plan for AI-heavy use, verify with the provider how those endpoint categories are metered.
Beta endpoints — /trends/, /trends/available, and /search/geo are marked Beta. Treat them as useful but potentially subject to breaking changes.
Twitter policy dependency — like all third-party Twitter data APIs, The Old Bird is dependent on access to Twitter/X's underlying data. Platform policy changes can affect what data is available or at what frequency, independent of this API's own uptime record.
Getting started
The API is available through RapidAPI. Sign up for the BASIC plan to test authentication and inspect response payloads at no cost, then size your plan based on your expected daily call volume. Because many endpoints return paginated results via continuation tokens, account for the fact that a single "load all tweets for a user" operation may consume several requests. Build your request budget accordingly before choosing a pricing tier.
