treg.to / Use cases / Social listening
7 providers · from $0.001 per found · $0.000 markup

Social listening API: export the comments on Instagram, YouTube, Reddit and LinkedIn posts as data

Give your agent a post URL on Instagram, a video on YouTube, a thread on Reddit or a post on LinkedIn and get the comments back as rows: author, text, likes, time, replies. 7 providers across the four platforms answer through one treg.to key, each at its own rate with $0.000 added, from a fraction of a cent per call, and on YouTube the official API is free on the Google account you already have. This is the raw material of social listening, not the dashboard: the rows come back and your agent does the reading.
Start freeSee the comparison
$1.00 of free credit on every new team · no provider signup · no card
13 of 18 endpoints on this page are live-verified against the provider.
compared on this page
Bright DataBright DataBright DataJust One APIJust One APIJust One APIJust One APIScrapeCreatorsScrapeCreatorsScrapeCreators
The economics

What 100 of these actually costs

the wide end
$2.95
Just One API, the dearest here, for the same 100
→
you pay
$0.10
100 × $0.001 at TikHub, metered per call

Subscription figures are provider list prices recorded in treg.to’s own catalog grid; per-call prices are what treg.to charges today, with $0.000 added.

Try it

What’s the best way to ask ChatGPT?

1Set your agent up, once
in your agent's chat
set up treg — https://treg.to/llms.txt
2Ask for the job
the prompt
Using treg, get every comment on these three Instagram posts and this YouTube video, show me the price per platform first, then group the comments into questions, complaints and praise, quote the three most upvoted in each group with a link, and tell me how many comments you actually fetched per post.
works in
ChatGPTClaudeClaude CodeCodexCursorGemini CLI

Why this prompt works

Give the post, not the account

Every row here takes one post, video or thread and returns its comments. Comments by one user across many posts is a different job and no row here does it.

Ask for the price per platform

The four platforms are priced separately and the units differ: per call, per result, per found. Four posts is a worst case before anything runs.

Ask for the groups, not the dump

Three thousand comments is not an answer. The forty that matter are, and that is what the agent is for.

Ask how many it fetched

Comments paginate. A provider that returns the first page and stops is a partial read that looks complete unless the count is on the table.

Why treg.to

Why go through treg.to

No code to write

Connect once, keep the token server side, and call from any agent.

Nothing to integrate

No SDK, no OAuth dance per vendor, no seats.

Behind the scenes

What ChatGPT sees before it calls

treg.to does not choose for you. It hands ChatGPT this comparison, with the price shown before any call, and ChatGPT picks. Or you tell it how: "cheapest", "most reliable", "the one that takes what I have", or a provider by name.

What do comments cost, per platform?

Cheapest per found

TikHubTikHub at $0.001 · Reddit

Cheapest per result

Bright DataBright Data at $0.0015 · Instagram

Cheapest per call

ScrapeCreatorsScrapeCreators at $0.00188 · Instagram

Those units are not interchangeable: one call can return many results, so compare on the unit you will actually be billed in.

Which comment API is the most reliable?

ProviderSuccessMedianSample
YouTubeYouTube100%162ms16 calls
TikHubTikHub100%2.2s10 calls
ScrapeCreatorsScrapeCreators100%2.8s328 calls
TikHubTikHub100%3.3s6 calls
ScrapeCreatorsScrapeCreators97%1.9s74 calls
Measured on treg.to traffic: real calls, real inputs, and sample sizes differ by provider. Live reliability, not a controlled benchmark.

How do the platforms compare?

Instagram

ProviderPriceAcceptsSuccess rateVerified
Bright DataBright Data$0.0015 per resultdataset_id, format, inputnot yet measuredunverified
ScrapeCreatorsScrapeCreators$0.00188 per callurl, cursor100% (328 calls)2026-07-28
TikHubTikHub$0.002 per foundcode_or_url, sort_by, pagination_token, code, min_id, sort_order100% (6 calls)2026-07-28
Just One APIJust One API$0.0148 per foundcode, minId, sortOrdernot yet measured2026-07-28
Instagramfree, your own accountfields, limit, ig_media_idnot yet measured2026-07-28

LinkedIn

ProviderPriceAcceptsSuccess rateVerified
Aviato$0.02 per foundpage, perPage, numReplies, sortOrder, postUrnnot yet measured2026-08-25
Just One APIJust One API$0.0295 per foundpostId, page, sortOrder, postTypenot yet measured2026-07-28
TikHubTikHubno dollar rate publishedurn, sort_by, page, pagination_token, share_urnnot yet measuredunverified

Reddit

ProviderPriceAcceptsSuccess rateVerified
TikHubTikHub$0.001 per foundpost_id, sort_type, after, need_formatnot yet measured2026-07-28
Bright DataBright Data$0.0015 per resultdataset_id, format, inputnot yet measuredunverified
ScrapeCreatorsScrapeCreators$0.00188 per callurl, cursor, trimnot yet measuredunverified
Just One APIJust One API$0.0148 per foundpostId, cursornot yet measured2026-07-28

YouTube

ProviderPriceAcceptsSuccess rateVerified
TikHubTikHub$0.001 per foundvideo_id, language_code, country_code, sort_by, continuation_token, need_format100% (10 calls)2026-07-28
Bright DataBright Data$0.0015 per resultdataset_id, format, inputnot yet measuredunverified
ScrapeCreatorsScrapeCreators$0.00188 per callurl, order97% (74 calls)2026-07-28
Just One APIJust One API$0.0148 per foundvideoId, cursor, languageCode, countryCode, sortBy (1 calls)2026-07-28
YouTubeYouTubefree, your own accountpart, videoId, order, maxResults, pageToken, textFormat100% (16 calls)2026-07-28

Run one

the cheapest verified call
treg call tikhub.x.reddit-app-fetch-post-comments --query post_id=t3_1ojnvca --query sort_type=CONFIDENCE --query need_format=False

Swap the id for any provider above. All 18 endpoints behind this job, with their parameters and captured responses, are on the Instagram, LinkedIn, Reddit, YouTube shelf.

How these numbers are made

PricesEach provider’s own published rate, converted to US dollars for one chargeable event of the unit they bill in. treg.to adds $0.000. Where a provider bills in credits, the conversion uses the rate on their public pricing page, last checked 2026-08-25.
Success ratetreg.to’s own served calls over the last 30 days: 2xx counts as a success, 5xx and timeouts as a failure. A 4xx is excluded, because it usually means the caller sent bad parameters and one bad query should not make a healthy endpoint look broken.
What this is notA controlled benchmark. These are real calls with real inputs, so sample sizes and the difficulty of what was asked differ by provider. Treat the rates as live reliability, not a like-for-like test.
VerifiedThe date treg.to last called the endpoint end to end and confirmed the shape of its response and the price it charged.
From the field

What people actually struggle with

Of the ~210 Reddit and X posts read in August 2026 about seventy were on the job, and eleven vendor clusters were excluded, including one coordinated push across seven X accounts and one post with a word joiner hidden inside its words. These five are people trying to read comments, not sell a tool.

The comments of one user, not one post

“Is there a way/tool to find all instagram comments of a particular user?” r/OSINT, 17 points

What this page can do about it: Not through any row on this page, and not through any provider in the catalog. The rows go post to comments. Saying so plainly is worth more than a page that lets an agent try and fail.

Five hundred comments, without a subscription

“Looking for a free open-source tool to scrape Instagram comments (approx. 500)” r/osinttools, 6 points

What this page can do about it: Not free, but close: five hundred Instagram comments is a handful of pages at a fraction of a cent each, from a prepaid balance that starts with a dollar of credit and no card. The open source route works until the platform changes; the paid row is somebody else's job to keep working.

The fear is the ban, not the fetch

“How can I do a cron job that scrape likes and comments on Instagram without get banned” r/DataHoarder

What this page can do about it: By not using your account. The paid rows here fetch public posts on the provider's side, so there is no session of yours to flag. What they cannot reach is a private account, and no row should be expected to.

Three thousand comments, forty that matter

“a video with 3,000 comments might have 40 that are actually useful to me and the rest is noise” r/claude, 3 points

What this page can do about it: That is the whole design of the prompt on this page: fetch cheaply, then have the agent group and quote. The fetch is the commodity; the filtering is where the reader's own judgement, and the model, earn their keep.

People do not say what a dashboard can count

“People won't say 'this product lacks value.' They'll say 'idk man feels overpriced for what it is'” r/AIAgentsStack, 24 points

What this page can do about it: Which is the case for raw comments over a sentiment score. A keyword dashboard misses that sentence; an agent reading the rows does not. The rows are the cheap part, and they are what this page sells.

The detail

What actually differs

The four platforms are not the same job, and the prices say so.

YouTube is the cheap one: TikHub at a tenth of a cent per successful call, and the official API free on your own Google account for any public video, ten thousand quota units a day at one unit per call. Instagram runs from TikHub, ScrapeCreators and Bright Data at fractions of a cent, with the official row free but limited to comments on your own posts. Reddit is priced like YouTube. LinkedIn is the dear one, from Aviato at two cents per found, and TikHub's LinkedIn row carries no published price yet, so the table prints none for it. All of it is the provider's own rate with $0.000 added.

Units differ across the rows, so read the unit before the number.

ScrapeCreators is per call, which on a post with a thousand comments means paginating and paying per page; Bright Data is per record delivered, so a thousand comments is a thousand records; TikHub and JustOneAPI are per successful call. The row labelled treg is the routed endpoint: the explicit opt in where you ask treg.to to choose among the providers for that platform, your own keys first, and it names the provider that served and bills that provider's rate. Every other row is a direct call and the choice is yours.

What no row here does: comments by one user across many posts, which is the question the OSINT forums keep asking; comments on a private account; and any promise about your own LinkedIn or Instagram login, because none of these rows use one.

A scraped LinkedIn post is public data fetched by the provider, and LinkedIn's terms are LinkedIn's. Several rows on the page have not been called live through treg.to yet and say unverified in the table: Bright Data on all three platforms, ScrapeCreators on Reddit, TikHub on LinkedIn. Run one post before an agent runs a thousand.

Background

What is a social listening API?

Strictly, it is the fetch step of social listening: a call that takes a post and returns the public comments under it as structured rows, so software can read them instead of a person scrolling. The listening suites sell the whole loop, monitoring, alerts, sentiment and a dashboard, by the seat. These rows sell the one part that is hard to build, getting the comments off the platform, per call, and leave the reading to your agent. On YouTube the official Data API does this for any public video on your own key. On Instagram the official API only reaches comments on posts you manage, which is why the paid rows exist: they fetch comments on anyone's public post. Reddit and LinkedIn have paid rows only.

Questions

Before you start

Can I get all the comments a particular user has left?

No. Every row takes a post and returns its comments. There is no row that takes a username and returns everything they have written, on any of the four platforms, and this page will not pretend one exists.

Does the official Instagram API do this for free?

Only on posts you manage. The Instagram row here is free on your own connected account and returns comments on your own posts. Comments on a competitor's post need one of the paid rows, which fetch any public post at a fraction of a cent.

Is this a replacement for a social listening tool?

For the fetch, yes, and for cents rather than a seat. For the rest, no: there is no alerting, no dashboard and no case management here. The rows return comments, your agent reads them, and you decide what to build on top.

Will my account get banned?

Nothing here uses your account except the two official rows, which use it the way the platform intends. The paid rows run on the provider's own infrastructure and return public data; treg.to holds the provider keys and you never log in anywhere.