Instagram Search Reels API
Scrape Instagram Search Reels data with one API call. Searches Instagram for reels matching a keyword query. Returns matching reels with view counts (engagement.views, the play count), like counts, comment counts, and author info, sourced from the Instagram surface that still carries play counts. Each row carries post.ext.author_id (the creator's numeric user id) and post.author.username. `post.ext.author_followers` is null on a plain call, because Instagram stopped sending follower counts in its search payload in August 2026; `include=creator` fills it. Three optional params add what the search itself lacks. Each works alone, and they combine; without them the call is unchanged. `region` (ES, MX, DE, BR, KR or FR) localises the results. Instagram does not rank search by country, so the market's own name is added to your query (`fitness` becomes `fitness españa`), unless the query already names the market or is already written in the market's own script (Hangul for KR), which Instagram localises by itself. The response reports what ran in `data.region`: `{ requested, method: "localised_query", query_sent }`. `region` favours creators from that market but does not promise that every creator is from it; `country` does. `include=creator` adds each reel's creator card, read from the creator's About this account panel: `post.ext.author_country`, `author_followers`, `author_following`, `author_posts_count`, `author_public_email` and `author_public_phone`, plus the name, avatar and verified flag where the row lacks them. It labels rows and never drops, adds or reorders them. `author_country` is the country the creator declares on that panel, not where the reel was filmed. A null means Instagram does not publish one for that creator, and nothing is guessed. `country` keeps only the reels whose creator declares that market. It adds the creator card, and when `region` is not sent it localises the query for the same market. `data.country` reports `{ requested, kept, dropped_other, dropped_unknown }`: rows from another country, and rows whose creator publishes none, are dropped and counted. Topics about a place, such as travel or eSIMs, are often made by visitors, so the localised query finds fewer local creators there. A phrasing locals use helps (`esim móvil` rather than `esim`), and `country` keeps only the market's creators. `region` and `country` mean what they mean on TikTok search. Only the mechanism of `region` differs: TikTok searches from the market, while Instagram, which ignores where a search comes from, gets a localised query. Price: `region` costs nothing extra. The creator card costs 2 credits per creator looked up. Two reels by one creator are one lookup, a creator that cannot be found is refunded, and a creator looked up in the last 15 minutes is free. Time: `region` adds nothing. The creator card typically adds about 5 to 17 seconds on a fresh page (the lookups run 12 at a time), and little when the creators were looked up in the last 15 minutes. `data.hydration` reports the rows, lookups, cache hits, credits held and kept, and the time. On a `max_pages` walk each creator is looked up once, the report sums every page, and `from_earlier_pages` counts rows filled free from a creator already looked up earlier in the walk. A walk starts another page with the creator card only while at least 30 seconds of its time remain, so a `max_pages` walk with `include=creator` or `country` often stops after its first fresh page with `stopped: "time_budget"`; pages whose creators are cached go further. `data._warnings` carries `creator_partial` when some creators could not be read (they are refunded) and `creator_unavailable` when none could. With `country`, a page where no creator matches is `items: []` with the warning `country_no_match`, and its lookups are still billed. A page left empty only because the creator lookups failed costs nothing. `format=raw` cannot be combined with `include=creator` or `country`; that is a free 400. Note: engagement.shares and engagement.saves are null on this endpoint; for a per-reel share count pass a result URL to /v1/instagram/post/stats, or use /v1/instagram/profile/reels/full to get a whole creator's reels with share counts merged in. Saves are platform-private. Instagram exposes no numeric save metric on any surface, and it is never fabricated. Result ordering is Instagram's own relevance ranking and is not stable between calls: the same query re-run minutes later can return a different, overlapping set. Rank on engagement.views client-side rather than relying on result order, and deduplicate by post.id across pages. Note on date_posted: filtered searches are served by the only Instagram surface that offers a date filter, and that surface no longer carries play counts, so engagement.views is null when date_posted is set. If you need both a date window and view counts, omit date_posted and filter on published_at yourself. Pagination: forward `pagination.next_cursor` back as `cursor` and keep calling while `pagination.has_more` is true. The walk ends with `has_more: false` and an empty `items` list, charged 0 credits. Two things during a walk are normal and are not the end: a page can come back empty at 0 credits, when every reel on it was already returned earlier in the same walk or when Instagram answers that page with an empty result, and page sizes vary, so keep going while `has_more` is true and do not stop on the first short or empty page. Follow `next_cursor` in preference to requesting page numbers yourself: the cursor carries the reels already delivered, so repeats are dropped and a page with nothing new is not charged, while a bare `page=3` can return reels from an earlier page. A query with no matches returns an empty list rather than an error. A short keyword query such as `esim europa` usually pages with view counts on every page. A long phrase or a question often matches only on a surface that returns one page with view counts, so its later pages come back with engagement.views null. Note that a date-filtered search draws on a much smaller pool: expect roughly 10 reels per page and a walk that ends after a handful of pages, against 30 per page and far greater depth when date_posted is omitted.
Last updated October 2026Maintained by the SocialCrawl team
Returns Instagram reels matching a keyword, topic, brand or phrase, each with its view count, like count, and author; share and save counts are not included on this endpoint.
Use it for keyword and topic discovery on Instagram (posts about a brand, phrase or subject), 1 credit a page; search/hashtag is only for a hashtag you already have. Share counts: post/stats.
Searching 68 platforms in parallel
TikTok·Instagram·
YouTube·
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Threads·
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lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Google News·
Finance·
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GitHub·
Perplexity·
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Utility·
Universal SearchTikTok·Instagram·YouTube·Facebook·X·LinkedIn·Reddit·Threads·Pinterest·Twitch·Truth Social·Snapchat·Kick·Bluesky·Kwai·Rumble·Spotify·Apple Music·TikTok Shop·Amazon Shop·Google Shopping·Trustpilot·TripAdvisor·Yelp·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Google News·Finance·Polymarket·Tavily·Hacker News·GitHub·Perplexity·Naver·Utility·Universal SearchTikTok·Instagram·YouTube·Facebook·X·LinkedIn·Reddit·Threads·Pinterest·Twitch·Truth Social·Snapchat·Kick·Bluesky·Kwai·Rumble·Spotify·Apple Music·TikTok Shop·Amazon Shop·Google Shopping·Trustpilot·TripAdvisor·Yelp·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Google News·Finance·Polymarket·Tavily·Hacker News·GitHub·Perplexity·Naver·Utility·Universal SearchTikTok·Instagram·YouTube·Facebook·X·LinkedIn·Reddit·Threads·Pinterest·Twitch·Truth Social·Snapchat·Kick·Bluesky·Kwai·Rumble·Spotify·Apple Music·TikTok Shop·Amazon Shop·Google Shopping·Trustpilot·TripAdvisor·Yelp·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Google News·Finance·Polymarket·Tavily·Hacker News·GitHub·Perplexity·Naver·Utility·Universal SearchWhat can you do with the Search Reels API?
The Search Reels endpoint gives you structured Instagram data with computed fields in a single request. No scraping infrastructure to build or maintain.
Example Request
curl -H "x-api-key: YOUR_API_KEY" \
"https://www.socialcrawl.dev/v1/instagram/search/reels?query=workout+routine&label=sponsored&relevance=filter&date_posted=last-week"import requests
response = requests.get(
"https://www.socialcrawl.dev/v1/instagram/search/reels",
params={
'query': 'workout routine',
'label': 'sponsored',
'relevance': 'filter',
'date_posted': 'last-week',
},
headers={"x-api-key": "YOUR_API_KEY"},
)
data = response.json()const response = await fetch(
"https://www.socialcrawl.dev/v1/instagram/search/reels?query=workout+routine&label=sponsored&relevance=filter&date_posted=last-week",
{
headers: { "x-api-key": "YOUR_API_KEY" },
},
);
const data = await response.json();Parameters worth sending
label=sponsoredMarks each post that is paid or sponsored, at no extra credits; intent and niche are free too.relevance=filterDrops rows that are not about your query, at no extra credits; relevance=score keeps them and adds a score.date_posted=last-weekOnly posts from this time window.
Parameters
| Parameter | Required | Description |
|---|---|---|
| query | Yes | Search keyword or phrase to find Instagram reels |
| date_posted | No | Date posted (last-week | last-month | last-year) |
| page | No | The page number to return. |
| region | No | Two-letter market code (ES, MX, DE, BR, KR, FR) to localise the results. Instagram does not rank search by country, so the market's own name is appended to your query (`fitness` with `ES` searches `fitness españa`), unless the query already names the market or is already written in the market's own script (Hangul for KR), which Instagram localises by itself. The query actually searched is returned in `data.region.query_sent`. It favours creators from the market but does not promise that every creator is from it; send `country` for that. For a topic about a place, such as eSIMs or travel, a phrasing locals use works better (`esim móvil` rather than `esim`). Same price as a plain call. Only these markets are supported; any other code is refused with the list, at no charge. A typo is a free 400. (ES | MX | DE | BR | KR | FR) |
| include | No | Send `creator` to add each reel's creator card, read from the creator's About this account panel: `post.ext.author_country`, `author_followers`, `author_following`, `author_posts_count`, `author_public_email` and `author_public_phone`, plus the creator's name, avatar and verified flag where the row lacks them. `author_country` is the country the creator declares there, not where the reel was filmed; it is null when Instagram does not publish one, and nothing is guessed. 2 extra credits per creator looked up; two reels by one creator cost one lookup, a creator that cannot be found is refunded, and a creator looked up in the last 15 minutes is free. A typo is a free 400. (creator) |
| country | No | Two-letter market code (ES, MX, DE, BR, KR, FR) to keep only reels whose creator is based in that market. Costs up to 61 credits a page, not 1: 1 credit plus 2 per creator looked up, kept or not, because the country is read from each creator's own profile (`post.ext.author_country`). It therefore adds the creator card (`include=creator`, reported as `data.hydration.implied_by: "country"`) and, when `region` is not sent, localises the query for the same market. To localise without the lookups, send `region` alone (1 credit). Rows from another country, or whose creator publishes none, are dropped and counted in `data.country` (`kept`, `dropped_other`, `dropped_unknown`); kept rows keep their order. When no row matches, the page is `items: []` with the warning `country_no_match`, and the lookups are still billed. A page left empty only because the creator lookups failed costs nothing. Works with `max_pages`. A typo is a free 400. (ES | MX | DE | BR | KR | FR) |
| relevance | No | Optional. Without this param every row already carries computed.relevance against your query, free ({ p, sense, depth, spam }: is this row about what your query means, or a different thing that shares its words?), and nothing is dropped or reordered. score asks for it explicitly and waits for every row; filter also drops the rows that are not about your query, and lists their ids in data.relevance.dropped_ids. Your query is the topic; nothing to configure. A row that could not be judged is never dropped and carries relevance: null. Pagination is unchanged, so a filtered page can hold fewer rows. Free with your query as the topic; with relevant_to it adds 1 credit per started 25 newly judged rows (rows already judged for the same topic are free, and so is a cached page). (score | filter) |
| relevance_threshold | No | Optional, only with relevance. The probability (0 to 1) a row must reach to be kept by relevance=filter. Default 0.5. Lower keeps more rows, higher keeps fewer. |
| relevant_to | No | Optional, only with relevance. Up to 200 characters describing what you mean, used as the topic instead of the query. Use it when the query is ambiguous, for example query=cleopatra with relevant_to=Cleopatra, the IGT slot game. |
| judgments | No | Optional, on (the default) or off. By default every row gains free SocialCrawl judgments (computed.labels, and computed.relevance on search endpoints), reported in data.labels (mode default) and data.relevance (origin default), each with a status (complete, partial or skipped) and pending: the rows still being judged when the page was sent, which carry null now and are filled on your next call or cached read. Default judgments never add credits, never change an existing field, and never drop or reorder a row. off returns the page exactly as before, with none of those keys. label=none does the same. (on | off) |
| dry_run | No | Optional. When 1, return a cost preview for this labelled or relevance-filtered request without fetching the page or judging any row. data.estimate reports rows_expected, rows_cached, label_credits_min, label_credits_max and base_credits. 0 credits charged. (1) |
| fit | No | Optional. When goal, keep the rows and fields needed for the goal you pass in goal= (plus any that are uncertain, and the first and last), and replace the rest with a stub. data.held_back lists the held ids and a recall id that re-reads the full page from cache at no extra charge. Without this param the page is unchanged. (goal) |
| goal | No | Required by fit=goal. What you are trying to do, in your own words, up to 300 characters. |
| fit_tokens | No | Optional, only with fit=goal. Soft cap on how much of the page to keep, in tokens. Uncertain blocks and the first and last block are kept even if they exceed it. |
| label | No | Optional CSV of SocialCrawl labels to add to every post. Without this param every page already carries sponsored, intent and niche, free; label= adds the labels you name to them (the defaults keep running). sponsored, intent and niche are free when asked for too; mention, quality, intent with offer=, and injection add 1 credit per started 25 newly judged posts. judgments=off (or label=none) turns the default labels off. sponsored: is the post a paid or gifted promotion (p, 0 to 1), did it carry a disclosure marker such as #ad or 광고 (disclosed), is it likely paid with no marker (undisclosed), and which of the accounts it mentions does it promote (brand, or null). These are signals to review, never a finding. mention (needs brand=): is the post about that brand rather than something that shares its name (about_brand, 0 to 1), how it feels about the brand on five levels (sentiment_level 0 to 4 and sentiment_score 0 to 1, null when the post is not about the brand), is it sarcastic, which aspect it talks about (taste_or_quality, price_or_value, availability_or_delivery, health_or_safety, advertising_or_campaign, customer_service, none), and did the author buy or use it (first_hand). intent: what the author is mainly doing (label: asking_for_recommendation, comparing_options, switching_away, complaining, promoting, news_or_discussion, other, or null when unsure, with confidence), whether they read as a potential buyer rather than a seller (buyer, seller), how pressing the need is (urgency, 0 to 3), and, when you pass offer=, whether your offer would plausibly help them (fits_offer). niche: which of the 33 niches of the published taxonomy sc-niche-v1 the caption belongs to, or personal_no_niche, or other (label, confidence, taxonomy), with label null when the caption is too thin to tell or the pick is unsure. It reads the caption only, not the video. quality: how much checkable detail the caption carries (fact_density 0 to 3), whether it mainly asks for likes, replies, shares, follows or tags (engagement_bait, 0 to 1), whether it is written to provoke anger as a way to get engagement (rage_bait, 0 to 1; about the writing, never the side taken), whether it only repeats someone else's news or view (secondhand, 0 to 1), and what the post is mainly doing (post_aim: inform, opinion, sell, entertain, provoke, other). exclude=engagement_bait drops posts whose engagement_bait is 0.8 or higher. injection flags text that addresses an AI system and tries to direct it (flagged, p); it never drops or rewrites a row. A post that could not be judged carries labels: null. Posts already labelled for anyone are free, and so is a cached page. data.labels reports what was judged and billed. |
| exclude | No | Optional CSV (engagement_bait), only with label=quality. Drops posts whose engagement_bait probability is 0.8 or higher and lists their ids in data.labels.dropped_ids. A post that could not be judged is never dropped. |
| brand | No | Required by label=mention, ignored otherwise. The brand or product the posts are judged against, up to 300 characters, for example brand=Buldak. Without it label=mention is skipped with the warning label_mention_needs_brand and is not billed. |
| brand_description | No | Optional, with label=mention. One plain sentence saying what the brand is, for example brand_description=Samyang's spicy instant noodle brand. Use it when the name is also an ordinary word or another company's name. |
| offer | No | Optional, with label=intent. One or two plain sentences saying what you sell, up to 300 characters, for example offer=A web design agency that builds websites for small businesses. Adds fits_offer to every post; without it fits_offer is null. |
| label_evidence | No | Optional, only with label=. When 1, every labelled row also carries computed.labels_evidence.<preset> = { quote, sentence_index }: the sentence in the row that most clearly shows the label, copied verbatim. Absent or null when no single sentence shows it. (1) |
| since | No | Only rows published on or after this date: YYYY-MM-DD (midnight UTC) or an ISO 8601 timestamp. Rows older than it are left off each page. This list is not in date order, so the walk does not stop at the date: keep following `next_cursor`, and each page costs what a page costs even when every row on it is filtered out. A row with no date is kept. `published_after`, `start_date`, `from_date`, `publish_time` (`yesterday`, `this-week`, `this-month`, `last-3-months`, `last-6-months`) and `max_age_days` are accepted and applied as `since`. |
| until | No | Only rows published on or before this date: YYYY-MM-DD (that whole UTC day is included) or an ISO 8601 timestamp. Newer rows are left off each page and the walk does not stop, so older pages follow. A row with no date is kept. `published_before`, `end_date` and `to_date` are accepted and applied as `until`. |
| min_views | No | Keep only rows with at least this many views (`post.engagement.views`). A row whose view count is unknown is discarded, so every returned row meets the floor. Filtering runs on our side after each page is fetched, so every page walked is billed as usual; `data.walk.discarded` counts what was removed and why. |
| max_age_days | No | Keep only rows published within this many days (`post.published_at`), 1 to 3650. A row with no date is discarded. Filtering runs on our side after each page is fetched, so every page walked is billed as usual; `data.walk.discarded` counts what was removed and why. |
| sort_rows | No | `views`: return the kept rows ordered by view count, highest first, across every page walked. Rows without a view count go last. (views) |
| max_pages | No | 1 to 5 (default 1). Walk up to this many pages in one call and return the rows from all of them (after any filter). Each page walked is billed exactly as one call to this endpoint (a cached page is free) and counts against your rate limit. The walk stops early at the last page, or when the request's time budget runs low; `data.walk.stopped` says why (`end`, `max_pages`, `time_budget`, `page_error`) and `data.next_cursor` continues from where it stopped. |
| seen | No | An id you choose (1 to 64 letters, digits, `.`, `_` or `-`). Rows your account already received under the same `seen` id are removed from the page, and the page price falls with the share of repeats: page credits x new rows / rows on the page, rounded up, so a page of nothing but repeats is free. Only the page's own price is discounted: credits for joined data (`include=`) are charged only for rows you have not received, and are never discounted. The memory lasts 24 hours from the last call that used the id, holds row ids only, and is private to your account. Use one id across a set of related searches; `data.walk.repeats` counts what was removed. |
What does the Instagram Search Reels API return?
Every response follows one unified schema. Here is a real, unmodified response body, so you can see the exact fields you get back before spending a credit.
Example response
{
"success": true,
"platform": "instagram",
"endpoint": "/v1/instagram/search/reels",
"data": {
"items": [
{
"post": {
"id": "3998582049703195659",
"url": "https://www.instagram.com/reel/Dd90TBVz_QL/",
"content": {
"text": "Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted).",
"media_urls": "https://scontent-hel3-1.cdninstagram.com/user_2352da/v/t2/f2/m86/AQM6zJvRT1n1JTmYRTMl6-CkrdrGrST8XlVIoJRWPVy08cuHr2mWFKrpb70nRlZTWxEmtB4TQ_EReEcz6NqcxZQ8DgduhELqZew3Jzw.mp4?_nc_cat=107&_nc_sid=5e9851&_nc_ht=scontent-hel3-1.cdninstagram.com&_nc_ohc=2ET97cMcfPIQ7kNvwFqDASN&efg=eyJ2ZW5jb2RlX3RhZyI6Inhwdl9wcm9ncmVzc2l2ZS5JTlNUQUdSQU0uQ0xJUFMuQzMuNzIwLmRhc2hfYmFzZWxpbmVfMV92MSIsInhwdl9hc3NldF9pZCI6MTM3MjMyMDYwNzk5Mjk5MCwiYXNzZXRfYWdlX2RheXMiOjAsInZpX3VzZWNhc2VfaWQiOjEwMDk5LCJkdXJhdGlvbl9zIjozMCwidXJsZ2VuX3NvdXJjZSI6Ind3dyJ9&ccb=17-1&vs=974fce545ca1be96&_nc_vs=HBksFQIYUmlnX3hwdl9yZWVsc19wZXJtYW5lbnRfc3JfcHJvZC8wRjk0RUZDNDIwNzY0OTgzOTM2RUE4NkZCMDYyMkQ5Rl92aWRlb19kYXNoaW5pdC5tcDQVAALIARIAFQIYUWlnX3hwdl9wbGFjZW1lbnRfcGVybWFuZW50X3YyLzY0NDU4N0JDRTAwMDRFMjc5RDE2NUY5ODBDMDVBMzMzX2F1ZGlvX2Rhc2hpbml0Lm1wNBUCAsgBEgAoABgAGwKIB3VzZV9vaWwBMRJwcm9ncmVzc2l2ZV9yZWNpcGUBMRUAACa88tulyYfwBBUCKAJDMywXQD5EGJN0vGoYEmRhc2hfYmFzZWxpbmVfMV92MREAdf4HZeadAQA&_nc_gid=tvGBLqhyOgUZSPiqPkZWmQ&_nc_ss=7a3ba&_nc_zt=28&oh=00_AQNdt5Vc4sZ_SUyuRZXXx4Kvd2g7v1f-Pw4qDXybu_4cDw&oe=6AC14E04",
"thumbnail_url": "https://scontent-hel3-1.cdninstagram.com/user_4c9448/t51.82787-15/828938818_18019239569926323_865501003644035376_n.jpg?stp=dst-jpg_e15_p480x480_tt6&_nc_cat=106&ig_cache_key=Mzk5ODU4MjA0OTcwMzE5NTY1OTE4MDE5MjM5NTY2OTI2MzIz.3-ccb7-5&ccb=7-5&_nc_sid=58cdad&efg=eyJ2ZW5jb2RlX3RhZyI6IkNMSVBTLnhwaWRzLjcyMC5zZHIudmlkZW9fdXNlcl9zZWxlY3RlZF90aHVtYm5haWwuQzMifQ%3D%3D&_nc_ohc=NtKHDaBBS7YQ7kNvwFw4Ttz&_nc_oc=AdoTOxexygzV_C8LdLtFHpnYIzZlXRc8CX6E6EGib1Y60TwIWltjBWX_5kRXYDr-SiY&_nc_ad=z-m&_nc_cid=0&_nc_zt=23&_nc_ht=scontent-hel3-1.cdninstagram.com&_nc_gid=tvGBLqhyOgUZSPiqPkZWmQ&_nc_ss=7a3ba&oh=00_AQO9hfq_JmkiE92lVotmFqZ6ScIqIQ-WlTH-bQkwvgBgqg&oe=6AC53170",
"duration_seconds": 30.277
},
"author": {
"username": "user_f9a50a",
"display_name": null,
"avatar_url": "https://example.com/avatars/user_785902.png",
"verified": false
},
"engagement": {
"views": 3483,
"likes": 407,
"comments": 20,
"shares": null,
"saves": null
},
"flags": {
"nsfw": null,
"spoiler": null,
"pinned": false,
"deleted": false
},
"published_at": "2026-10-01T21:00:22.000Z",
"ext": {
"author_id": "user_7906dd",
"media_type": "video",
"published_at_epoch": 1790888422,
"coauthors": []
}
},
"computed": {
"engagement_rate": 0.122595,
"language": "fr",
"content_category": "other",
"estimated_reach": 4180,
"relevance": null,
"labels": null
}
},
{
"post": {
"id": "3997495296476933260",
"url": "https://www.instagram.com/reel/Dd59MrhzWyM/",
"content": {
"text": "Sample comment text (redacted).",
"media_urls": "https://scontent-hel3-1.cdninstagram.com/user_2352da/v/t16/f2/m84/AQPcFYuDNoHsWZpRF6j0o22ylOZuStVKoq9uNFYTD0ZCHutxkEfC89HZn3DjoDtHutG2elANJ86xYgW7iW_u_9yyzOUXIJAjcgItVHE.mp4?_nc_cat=103&_nc_sid=5e9851&_nc_ht=scontent-hel3-1.cdninstagram.com&_nc_ohc=DWo9lBEozboQ7kNvwHdZQIj&efg=eyJ2ZW5jb2RlX3RhZyI6Inhwdl9wcm9ncmVzc2l2ZS5JTlNUQUdSQU0uQ0xJUFMuQzMuNzIwLmRhc2hfYmFzZWxpbmVfMV92MSIsInhwdl9hc3NldF9pZCI6MTYxNzE4ODgxOTgwODk0MiwiYXNzZXRfYWdlX2RheXMiOjEsInZpX3VzZWNhc2VfaWQiOjEwODI3LCJkdXJhdGlvbl9zIjozMCwidXJsZ2VuX3NvdXJjZSI6Ind3dyJ9&ccb=17-1&vs=ffaf7d07a5d16ff9&_nc_vs=HBksFQIYTGlnX2JhY2tmaWxsX3RpbWVsaW5lX3ZvZC9CODFDRTkxNEQyRDA0MjgxOUNCRkJGRjFBODFEMTlEOV92aWRlb19kYXNoaW5pdC5tcDQVAALIARIAFQIYUWlnX3hwdl9wbGFjZW1lbnRfcGVybWFuZW50X3YyL0QzMjZGNUZCQ0ZFMzRDNjI5QjQzOURFRjgxQzg3Qzk5X2F1ZGlvX2Rhc2hpbml0Lm1wNBUCAsgBEgAoABgAGwKIB3VzZV9vaWwBMRJwcm9ncmVzc2l2ZV9yZWNpcGUBMRUAACbcyp3S47TfBRUCKAJDMywXQD7VP3ztkWgYEmRhc2hfYmFzZWxpbmVfMV92MREAdf4HZZapAQA&_nc_gid=tvGBLqhyOgUZSPiqPkZWmQ&_nc_ss=7a3ba&_nc_zt=28&oh=00_AQNWi_fmUp83nQFAbEQ7lkE_2sDfpNG7-D0cxBEQuZWCCA&oe=6AC14ABD",
"thumbnail_url": "https://scontent-hel3-1.cdninstagram.com/user_4c9448/t15.5256-10/830564076_2402972563566842_6315726862023546957_n.jpg?stp=dst-jpg_e15_p480x480_tt6&_nc_cat=101&ig_cache_key=Mzk5NzQ5NTI5NjQ3NjkzMzI2MA%3D%3D.3-ccb7-5&ccb=7-5&_nc_sid=58cdad&efg=eyJ2ZW5jb2RlX3RhZyI6IkNMSVBTLnhwaWRzLjY0MC5zZHIudmlkZW9fZmlyc3RfZnJhbWVfdGh1bWJuYWlsLkMzIn0%3D&_nc_ohc=N06MhLht_XAQ7kNvwEJl1L9&_nc_oc=AdrrBicWedI2hIXzgP9KsFXhEoGrjHSWD-zPsswL7ySIlKK2QUGCQoNDBd_am8xnmXo&_nc_ad=z-m&_nc_cid=0&_nc_zt=23&_nc_ht=scontent-hel3-1.cdninstagram.com&_nc_gid=tvGBLqhyOgUZSPiqPkZWmQ&_nc_ss=7a3ba&oh=00_AQM8tSamtmARPPJdVDyQFXc6cSMOsloAJeDwhN8KBEImrg&oe=6AC51485",
"duration_seconds": 30.834
},
"author": {
"username": "user_c57b43",
"display_name": null,
"avatar_url": "https://example.com/avatars/user_8edc51.png",
"verified": false
},
"engagement": {
"views": 10340,
"likes": 309,
"comments": 9,
"shares": null,
"saves": null
},
"flags": {
"nsfw": null,
"spoiler": null,
"pinned": false,
"deleted": false
},
"published_at": "2026-09-30T08:58:17.000Z",
"ext": {
"author_id": "user_67972f",
"media_type": "video",
"published_at_epoch": 1790758697,
"coauthors": [
{
"id": "user_ed96d2",
"username": "user_9a5c42",
"full_name": null,
"is_verified": false,
"profile_pic_url": "https://example.com/user_076162"
}
]
}
},
"computed": {
"engagement_rate": 0.030754,
"language": null,
"content_category": "other",
"estimated_reach": 12408,
"relevance": null,
"labels": null
}
}
],
"total": null,
"relevance": {
"mode": "score",
"topic_source": "query",
"rows": 30,
"scored": 18,
"cached": 12,
"kept": 30,
"dropped": 0,
"dropped_ids": [],
"unjudged": 0,
"too_short": 0,
"threshold": 0.5,
"extra_credits": 0,
"methodology_version": "relevance/2",
"origin": "default",
"pending": 12,
"pending_ids": [
"3998582049703195659",
"3997495296476933260"
],
"status": "partial"
},
"labels": {
"presets": [
"sponsored",
"intent"
],
"rows": 30,
"labelled": 18,
"cached": 10,
"skipped": 0,
"unjudged": 0,
"dropped": 0,
"dropped_ids": [],
"extra_credits": 0,
"methodology_version": "labels/1",
"mode": "default",
"status": "partial",
"pending": 12,
"pending_ids": [
"3998582049703195659",
"3997495296476933260"
]
},
"dropped": 0
},
"credits_used": 1,
"request_id": "req_example000000",
"cached": false,
"pagination": {
"next_cursor": "sc.eyJ2IjoyLCJjIjoic2MxLmV5SmpJam9pTWlJc0ltc2lPaUl3TkdvMlltOTJNR1ppTm1ZMU9ERjJiVE0zYnpRd2VtZzFOR1JuTVd0eWJEUmhiVEJ0YXpkcE1td3hNSEE0ZG1sb01EZGhlWGRoYlRGclptVmpOWGt3YzJsMk56QTFNV2wxYldObmJURnRielUyWnpRd016VjZZelEzTUc4NWRUbDVjREF3Y0dReWJXMHdjWEl3Y1RCNk1URTFOelUyYlRBMWIzbDRlR2N4YUhFemEyUnlNWFp5WW1WaGF6QnNhRzVoZURJeGJYaGphMjFwTVhSbE5YVXpiakUwYm5GdWRHb3hOSFpoY1d0MU1EbG5ObTR5T0RCb2NYSXdjV293TkRFNWIzcDJNVzVoTmpKamJqRjViMkkxT1RVaWZRIiwiZSI6Imluc3RhZ3JhbS9zZWFyY2gvcmVlbHMiLCJwIjoicGFnZSIsInMiOiJpIn0",
"has_more": true,
"page_size": 30
},
"credits_remaining": 9999,
"source": "captured",
"captured_at": "2026-10-02T07:28:19.681Z",
"redacted": true
}Live sample illustrating the unified response shape. Field values reflect the record you query.
How does the Instagram Search Reels API work?
Send a GET request with your API key and get back clean, structured JSON in our unified schema. Supported computed fields are populated when the source provides the required inputs.
Method
GET
Response
JSON
How do you scrape social media data in seconds?
The fastest social media scraping API for developers. Scrape profiles, posts, comments, and analytics from 68 platforms covering 10B+ monthly active users.
One schema, every platform
Query 68 platforms with identical response structures. Write your integration once.
Computed fields, not just scraped
When an endpoint supports these metrics and the source provides the required inputs, the normalized record includes engagement_rate, estimated_reach, content_category, and language. Ready to use.
See your data before you code
Visual Data Explorer. Paste any URL, get rich result cards, sortable tables, CSV export.
import requests
response = requests.get(
'https://www.socialcrawl.dev/v1/tiktok/profile',
params={'handle': 'charlidamelio'},
headers={'x-api-key': 'sc_YOUR_API_KEY'}
)
data = response.json(){
"success": true,
"platform": "tiktok",
"data": {
"author": {
"username": "charlidamelio",
"followers": 152400000
},
"engagement": {
"likes": 12400000000,
"engagement_rate": 0.087
},
"metadata": {
"language": "en",
"content_category": "lifestyle"
}
}
}Have a question? We got answers
Find answers to frequently asked questions about SocialCrawl's API, pricing, and capabilities.
Contact usHow do I search Instagram reels with an API?
Can I filter reels by date posted?
What search queries work best for reels?
Does the Instagram Reels Search API return private reels?
How much does the Instagram Reels Search API cost?
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