> ## Documentation Index > Fetch the complete documentation index at: https://docs.scraperize.com/llms.txt > Use this file to discover all available pages before exploring further. # Post transcript > Fetches a public LinkedIn post and returns the transcript of its video, when LinkedIn exposes one. Most useful for video posts: the transcript is returned as plain text. If the post has no video, or the video has no transcript, `transcript` is `null`. Only the post URL and transcript are returned — all other post fields are on `GET /v1/linkedin/post`. **Cost: 1 credit** per successful request. Errors and cache hits (`cache_max_age`) are free. Paste this into ChatGPT, Claude or your coding assistant to generate working code for this endpoint (use the copy button). ```text Prompt I want to make an API call to /v1/linkedin/post/transcript. Here are the details: Endpoint: GET https://api.scraperize.com/v1/linkedin/post/transcript Description: Fetches a public LinkedIn post and returns the transcript of its video, when LinkedIn exposes one. Most useful for video posts: the transcript is returned as plain text. If the post has no video, or the video has no transcript, `transcript` is `null`. Only the post URL and transcript are returned — all other post fields are on `GET /v1/linkedin/post`. Required Headers: - x-api-key: Your API key Parameters: - url (string) [required]: The URL of the LinkedIn post, e.g. `https://www.linkedin.com/posts/`. - cache_max_age (select): Optional. Return a cached result if one this age or newer exists — served for **0 credits** with `meta.cached=true` and `meta.cachedAt`. Otherwise a fresh scrape runs (**1 credit**) and refreshes the cache. Omit to always scrape fresh. Example Response: { "data": { "post": { "url": "https://www.linkedin.com/posts/artificial-analysis_gemini-35-flash-is-a-step-forward-for-google-activity-7465082408409870337-4Pm-" }, "transcript": "Hey, my name is Declan Jackson. I am a member of technical staff here at Artificial Analysis and I'm going to do a quick chat through the recent release of Gemi…", "fetchedAt": "2026-10-05T14:46:40.727Z" }, "meta": { "requestId": "req_8f0c2b7e-1a2b-4c3d-9e8f-0a1b2c3d4e5f", "creditsCharged": 1, "creditsRemaining": 4999, "cached": false } } Please help me write code in my preferred programming language to make this API call and handle the response appropriately. Include error handling and best practices. ``` ## OpenAPI ````yaml /api-reference/openapi.json get /v1/linkedin/post/transcript openapi: 3.0.3 info: title: Scraperize API version: 1.0.0 description: >- Extract public data from social media platforms as clean JSON. Endpoints are split by platform and by what they return, e.g. `GET /v1/twitter/tweet`. ## Authentication Send your API key in the `x-api-key` header (or `Authorization: Bearer `). Create keys in your dashboard. ## Credits Each successful live scrape costs **1 credit**. Credits are prepaid and never expire. ## Caching Every endpoint accepts an optional `cache_max_age` (`1d`|`3d`|`7d`|`14d`|`30d`). A cache hit within that window is returned for **0 credits**. ## Responses Success returns `{ "data": …, "meta": { "requestId", … } }`. Errors return `{ "error": { "code", "message", "requestId" } }` with a matching HTTP status. `meta` on a scrape carries `creditsCharged`, `creditsRemaining`, `cached`, and (on a hit) `cachedAt`. ## Rate limits Requests are limited per team per minute; over the limit returns `429` with a `Retry-After` header. servers: - url: https://api.scraperize.com description: Production security: - ApiKeyAuth: [] tags: - name: Twitter description: Twitter / X scraping endpoints - name: Facebook description: Facebook scraping endpoints - name: Linkme description: Linkme (link.me) scraping endpoints - name: Amazon description: Amazon (creator shop / storefront) scraping endpoints - name: Linkbio description: Linkbio (lnk.bio) scraping endpoints - name: Pillar description: Pillar (pillar.io) scraping endpoints - name: Komi description: Komi (komi.io) scraping endpoints - name: Linktree description: Linktree (linktr.ee) scraping endpoints - name: Kick description: Kick (kick.com) scraping endpoints - name: Snapchat description: Snapchat (snapchat.com) scraping endpoints - name: Telegram description: Telegram (t.me) scraping endpoints - name: LinkedIn description: LinkedIn scraping endpoints - name: Twitch description: Twitch scraping endpoints - name: TikTok description: TikTok (tiktok.com) scraping endpoints paths: /v1/linkedin/post/transcript: get: tags: - LinkedIn summary: Post transcript description: >- Fetches a public LinkedIn post and returns the transcript of its video, when LinkedIn exposes one. Most useful for video posts: the transcript is returned as plain text. If the post has no video, or the video has no transcript, `transcript` is `null`. Only the post URL and transcript are returned — all other post fields are on `GET /v1/linkedin/post`. parameters: - name: url in: query required: true description: >- The URL of the LinkedIn post, e.g. `https://www.linkedin.com/posts/`. schema: type: string example: >- https://www.linkedin.com/posts/artificial-analysis_gemini-35-flash-is-a-step-forward-for-google-activity-7465082408409870337-4Pm- - name: cache_max_age in: query required: false description: >- Optional. Return a cached result if one this age or newer exists — served for **0 credits** with `meta.cached=true` and `meta.cachedAt`. Otherwise a fresh scrape runs (**1 credit**) and refreshes the cache. Omit to always scrape fresh. schema: type: string enum: - 1d - 3d - 7d - 14d - 30d example: 7d responses: '200': description: The post's video transcript (or null when it has none). content: application/json: schema: type: object properties: data: type: object properties: post: type: object nullable: true properties: url: type: string transcript: type: string nullable: true fetchedAt: type: string format: date-time meta: type: object description: >- requestId + credit/caching metadata (creditsCharged, creditsRemaining, cached, cachedAt). required: - data - meta example: data: post: url: >- https://www.linkedin.com/posts/artificial-analysis_gemini-35-flash-is-a-step-forward-for-google-activity-7465082408409870337-4Pm- transcript: >- Hey, my name is Declan Jackson. I am a member of technical staff here at Artificial Analysis and I'm going to do a quick chat through the recent release of Gemini 3.5 Flash. This release is really interesting because Google have really prioritized 2 things with this release, but it has come at a bit of a cost. So with this release of Gemini 3.5 Flash, Google have focused on speed and they're focused on agent capabilities. So in terms of speed, Gemini 3.5 Flash we measured in our pre release testing at about 280. Output tokens per second, which is pretty impressive for a model of that level of intelligence. So this really puts it on the Predo frontier of speed and intelligence. Now this also is a massive jump from Gemini 3 flash speeds and also puts it ahead of a model like GPT 5.4 mini. Now on agenti capabilities, it has a massive uplift from Gemini 3 flash and even more so than Gemini 3.1 pro and agender capabilities has been a bit of a weakness for Google in the past. So it's really good to see that they've uplifted that, especially we've seen in our real world task agentic eval GDP Val, a Gemini 3.5 flash records an ELO of around 1650. So this is a head of Gemini 3.1 Pro and other models like Kimmy K 2.6, GLM 5.1. But as I mentioned this does come with a bit of a trade off. The model costs around 5X the cost to run compared to Gemini 3 flush. This is made-up of two factors #1 the actual token price is a lot higher. So the token price is 3X that of Gemini 3 Flash at 1.5 per million input and $9 per million output. We also find that it is using. Tokens on these evaluations. So it's reasoning more and it's also using more turns on our genetic evaluations, which is going to mean that it's going to cost more to run. So it's a really interesting tradeoff here. Speed and intelligence is really improved, but cost is also really increased. fetchedAt: '2026-10-05T14:46:40.727Z' meta: requestId: req_8f0c2b7e-1a2b-4c3d-9e8f-0a1b2c3d4e5f creditsCharged: 1 creditsRemaining: 4999 cached: false '401': description: Missing, invalid, or revoked API key. content: application/json: schema: $ref: '#/components/schemas/Error' example: error: code: UNAUTHORIZED message: API key required — pass it in the `x-api-key` header. requestId: req_8f0c2b7e-1a2b-4c3d-9e8f-0a1b2c3d4e5f '402': description: Not enough credits for this request. content: application/json: schema: $ref: '#/components/schemas/Error' example: error: code: INSUFFICIENT_CREDITS message: >- This request costs 1 credit, but your balance is 0. Top up to continue. requestId: req_8f0c2b7e-1a2b-4c3d-9e8f-0a1b2c3d4e5f '404': description: No public post found at that URL. content: application/json: schema: $ref: '#/components/schemas/Error' example: error: code: NOT_FOUND message: >- The requested content was not found (it may not exist, be deleted, or be private). requestId: req_8f0c2b7e-1a2b-4c3d-9e8f-0a1b2c3d4e5f '422': description: Invalid query parameters. content: application/json: schema: $ref: '#/components/schemas/Error' example: error: code: VALIDATION_ERROR message: Request validation failed requestId: req_8f0c2b7e-1a2b-4c3d-9e8f-0a1b2c3d4e5f details: - path: url message: Required '429': description: Over the per-minute rate limit — honour `Retry-After`. content: application/json: schema: $ref: '#/components/schemas/Error' example: error: code: RATE_LIMITED message: >- Rate limit exceeded — max 100 requests per 60s. Retry in ~30s. requestId: req_8f0c2b7e-1a2b-4c3d-9e8f-0a1b2c3d4e5f '503': description: >- Temporarily unavailable — retry after `Retry-After`. `error.code` tells you why: `UPSTREAM_BLOCKED` (the source blocked this request), `EXTRACTION_FAILED` (the source returned unexpected data), `PLATFORM_UNAVAILABLE` (the source is down), or `SERVICE_UNAVAILABLE` (we are at capacity). content: application/json: schema: $ref: '#/components/schemas/Error' example: error: code: UPSTREAM_BLOCKED message: >- The source is temporarily unavailable. Please try again shortly. requestId: req_8f0c2b7e-1a2b-4c3d-9e8f-0a1b2c3d4e5f components: schemas: Error: type: object properties: error: type: object properties: code: type: string example: NOT_FOUND message: type: string example: The requested content was not found. requestId: type: string example: req_8f0c2b7e-1a2b-4c3d-9e8f-0a1b2c3d4e5f details: type: array items: type: object description: Present on validation errors. required: - code - message - requestId required: - error securitySchemes: ApiKeyAuth: type: apiKey in: header name: x-api-key description: >- Your API key. Send it in the `x-api-key` header (or `Authorization: Bearer `). Create and manage keys from your dashboard. ```` This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.