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Facebook Search Groups API

Returns public Facebook groups matching a keyword, each with the group key, page URL, and whether the hit was the group page or a post inside it.

GET /v1/facebook/search/groups

Last updated November 2026Maintained by the SocialCrawl team

When to use the Facebook Search Groups API

Use it to find groups before facebook/group. include=details fills members and privacy, one credit per group filled.

From the API reference

Finds public Facebook groups by keyword, so you can pick the groups to read before calling /v1/facebook/group/posts. Returns one row per group, in the order the search found them, on the same Author shape /v1/facebook/group returns: author.id is the group's key (its numeric id, or the vanity name of a group that set one), author.url is the canonical https://www.facebook.com/groups/<key>/ form that /v1/facebook/group/posts and /v1/facebook/group take as url with no re-mapping, and author.display_name is the group's name. Groups are discovered through a public web search index limited to Facebook group pages, so a group is found either through its own page or through a post inside it: author.ext.search_hit.match says which (group_page or post_in_group), and author.ext.search_hit also carries the hit's title, snippet and evidence_url (the exact page that matched). A group found only through a post has display_name: null, because a post's title is not the group's name. The search hit carries no member count, description, privacy or creation date, so on a plain call author.followers, author.bio, author.joined_at and author.ext.group are null. Send include=details and every group is joined, in the same call, to the group lookup: the member count, the description, the creation date, the privacy and visibility labels, the posting activity (author.ext.group.activity), the numeric id (author.ext.group.id) and, where it was null, the name land on each row. Cost: 1 credit for the page plus 1 credit per group whose member count, description or activity was filled from a fresh lookup (at most 10 groups a page, so 11 credits at most); groups already in cache are free, groups that could not be filled are refunded, and a repeat of the same call within the cache window is 0 credits. Time: a plain page takes about 2 to 5 seconds; include=details adds 3 to 7 seconds on a fresh page (the lookups run in parallel and the call waits for the slowest, never more than 12 seconds) and nothing when the groups are already cached. The response carries a hydration block itemising rows, lookups, cache hits, credits and milliseconds. Every row also carries computed.relevance against your query, free, and relevance=filter drops the groups that are not about it. A page holds up to 10 groups, fewer when several hits belong to one group. Forward pagination.next_cursor as cursor for the next page. The same group can appear again on a later page, and once under its vanity name and once under its numeric id, so dedupe on author.ext.group.id after include=details when that matters. A group can be public in the search and still private to read: check author.ext.group.privacy_label before calling group/posts.

Searching 69 platforms in parallel

·TikTok logoTikTok·Instagram logoInstagram·YouTube logoYouTube·Facebook logoFacebook·X logoX·LinkedIn logoLinkedIn·Reddit logoReddit·Threads logoThreads·Pinterest logoPinterest·Twitch logoTwitch·Truth Social logoTruth Social·Snapchat logoSnapchat·Kick logoKick·Bluesky logoBluesky·Kwai logoKwai·Rumble logoRumble·Spotify logoSpotify·Apple Music logoApple Music·TikTok Shop logoTikTok Shop·Amazon Shop logoAmazon Shop·Google Shopping logoGoogle Shopping·Trustpilot logoTrustpilot·TripAdvisor logoTripAdvisor·Yelp logoYelp·Linktree logoLinktree·Komi logoKomi·Pillar logoPillar·lnk.bio logolnk.bio·Facebook Ads logoFacebook Ads·Google Ads logoGoogle Ads·LinkedIn Ads logoLinkedIn Ads·Google Search logoGoogle Search·Google News logoGoogle News·Finance logoFinance·Polymarket logoPolymarket·Tavily logoTavily·Hacker News logoHacker News·GitHub logoGitHub·Perplexity logoPerplexity·Naver logoNaver·Utility logoUtility·Universal Search logoUniversal Search
·TikTok logoTikTok·Instagram logoInstagram·YouTube logoYouTube·Facebook logoFacebook·X logoX·LinkedIn logoLinkedIn·Reddit logoReddit·Threads logoThreads·Pinterest logoPinterest·Twitch logoTwitch·Truth Social logoTruth Social·Snapchat logoSnapchat·Kick logoKick·Bluesky logoBluesky·Kwai logoKwai·Rumble logoRumble·Spotify logoSpotify·Apple Music logoApple Music·TikTok Shop logoTikTok Shop·Amazon Shop logoAmazon Shop·Google Shopping logoGoogle Shopping·Trustpilot logoTrustpilot·TripAdvisor logoTripAdvisor·Yelp logoYelp·Linktree logoLinktree·Komi logoKomi·Pillar logoPillar·lnk.bio logolnk.bio·Facebook Ads logoFacebook Ads·Google Ads logoGoogle Ads·LinkedIn Ads logoLinkedIn Ads·Google Search logoGoogle Search·Google News logoGoogle News·Finance logoFinance·Polymarket logoPolymarket·Tavily logoTavily·Hacker News logoHacker News·GitHub logoGitHub·Perplexity logoPerplexity·Naver logoNaver·Utility logoUtility·Universal Search logoUniversal Search
·TikTok logoTikTok·Instagram logoInstagram·YouTube logoYouTube·Facebook logoFacebook·X logoX·LinkedIn logoLinkedIn·Reddit logoReddit·Threads logoThreads·Pinterest logoPinterest·Twitch logoTwitch·Truth Social logoTruth Social·Snapchat logoSnapchat·Kick logoKick·Bluesky logoBluesky·Kwai logoKwai·Rumble logoRumble·Spotify logoSpotify·Apple Music logoApple Music·TikTok Shop logoTikTok Shop·Amazon Shop logoAmazon Shop·Google Shopping logoGoogle Shopping·Trustpilot logoTrustpilot·TripAdvisor logoTripAdvisor·Yelp logoYelp·Linktree logoLinktree·Komi logoKomi·Pillar logoPillar·lnk.bio logolnk.bio·Facebook Ads logoFacebook Ads·Google Ads logoGoogle Ads·LinkedIn Ads logoLinkedIn Ads·Google Search logoGoogle Search·Google News logoGoogle News·Finance logoFinance·Polymarket logoPolymarket·Tavily logoTavily·Hacker News logoHacker News·GitHub logoGitHub·Perplexity logoPerplexity·Naver logoNaver·Utility logoUtility·Universal Search logoUniversal Search
·TikTok logoTikTok·Instagram logoInstagram·YouTube logoYouTube·Facebook logoFacebook·X logoX·LinkedIn logoLinkedIn·Reddit logoReddit·Threads logoThreads·Pinterest logoPinterest·Twitch logoTwitch·Truth Social logoTruth Social·Snapchat logoSnapchat·Kick logoKick·Bluesky logoBluesky·Kwai logoKwai·Rumble logoRumble·Spotify logoSpotify·Apple Music logoApple Music·TikTok Shop logoTikTok Shop·Amazon Shop logoAmazon Shop·Google Shopping logoGoogle Shopping·Trustpilot logoTrustpilot·TripAdvisor logoTripAdvisor·Yelp logoYelp·Linktree logoLinktree·Komi logoKomi·Pillar logoPillar·lnk.bio logolnk.bio·Facebook Ads logoFacebook Ads·Google Ads logoGoogle Ads·LinkedIn Ads logoLinkedIn Ads·Google Search logoGoogle Search·Google News logoGoogle News·Finance logoFinance·Polymarket logoPolymarket·Tavily logoTavily·Hacker News logoHacker News·GitHub logoGitHub·Perplexity logoPerplexity·Naver logoNaver·Utility logoUtility·Universal Search logoUniversal Search
Facebook API

What can you do with the Search Groups API?

The Search Groups endpoint gives you structured Facebook data with computed fields in a single request. No scraping infrastructure to build or maintain.

Example Request

# GET /v1/facebook/search/groups: Metered: holds 1 credit per page up front and refunds what the call does not use. Cache hits are free and failed calls are refunded.
# Check the price first for 0 credits: add dry_run=1 to the query. Nothing is fetched or charged.
# --max-time 22: this endpoint's measured p99 latency x 1.5.
# --retry 3: retries timeouts, 429 and 5xx, honoring Retry-After.
# -o response.json keeps only the final attempt's body.
# One Idempotency-Key per request, reused on every retry, so a retried call is never charged twice.
# Next page: send pagination.next_cursor back as cursor until pagination.has_more is false.
IDEMPOTENCY_KEY=$(od -An -N16 -tx1 /dev/urandom | tr -d ' \n')
curl -sS --max-time 22 --retry 3 -o response.json \
  -H "x-api-key: YOUR_API_KEY" \
  -H "Idempotency-Key: $IDEMPOTENCY_KEY" \
  "https://www.socialcrawl.dev/v1/facebook/search/groups?query=vintage+cars&relevance=filter" && cat response.json
# GET /v1/facebook/search/groups: Metered: holds 1 credit per page up front and refunds what the call does not use. Cache hits are free and failed calls are refunded.
# Check the price first for 0 credits: add dry_run=1 to the query. Nothing is fetched or charged.
import os
import random
import time
import uuid

import requests

API_KEY = os.environ.get("SOCIALCRAWL_API_KEY", "YOUR_API_KEY")
TIMEOUT_S = 22  # this endpoint's measured p99 latency x 1.5.
MAX_RETRIES = 3
URL = "https://www.socialcrawl.dev/v1/facebook/search/groups"


def backoff(attempt):
    # Exponential backoff with jitter: about 1 s, 2 s, then 4 s.
    return 2 ** attempt * (0.5 + random.random() / 2)


def socialcrawl(params):
    # One Idempotency-Key per request, reused on every retry, so a retried call is never charged twice.
    idempotency_key = str(uuid.uuid4())
    for attempt in range(MAX_RETRIES + 1):
        try:
            res = requests.get(
                URL,
                params=params,
                headers={"x-api-key": API_KEY, "Idempotency-Key": idempotency_key},
                timeout=TIMEOUT_S,
            )
            body = res.json()
        except (requests.RequestException, ValueError):
            # A timeout, a dropped connection or a non-JSON gateway page: retry with the same key.
            if attempt == MAX_RETRIES:
                raise
            time.sleep(backoff(attempt))
            continue
        if body["success"]:
            return body
        error = body["error"]
        # Branch on error["type"], never on the message text.
        if error["type"] == "RESOURCE_NOT_FOUND":
            return None  # refunded: nothing to read
        retry_after = res.headers.get("Retry-After")
        # SERVICE_UNAVAILABLE without Retry-After is a withdrawn endpoint: permanent.
        permanent = error["type"] == "SERVICE_UNAVAILABLE" and retry_after is None
        if not error.get("retryable") or permanent or attempt == MAX_RETRIES:
            raise RuntimeError(f"{error['type']}: {error['message']} (request_id {body['request_id']})")
        # Retry-After (seconds) wins; otherwise back off.
        time.sleep(float(retry_after) if retry_after else backoff(attempt))


params = {
    "query": "vintage cars",
    "relevance": "filter",
}

# Walk the list: send pagination.next_cursor back as cursor until has_more is false.
MAX_PAGES = 10  # each page is one call
items = []
for _ in range(MAX_PAGES):
    body = socialcrawl(params)
    if body is None:
        break
    items.extend(body["data"]["items"])
    page = body.get("pagination") or {}
    if not page.get("has_more") or not page.get("next_cursor"):
        break
    params["cursor"] = page["next_cursor"]
print(f"{len(items)} items")
// GET /v1/facebook/search/groups: Metered: holds 1 credit per page up front and refunds what the call does not use. Cache hits are free and failed calls are refunded.
// Check the price first for 0 credits: add dry_run=1 to the query. Nothing is fetched or charged.
const API_KEY = process.env.SOCIALCRAWL_API_KEY ?? "YOUR_API_KEY";
const TIMEOUT_MS = 22_000; // this endpoint's measured p99 latency x 1.5.
const MAX_RETRIES = 3;

type Page = { next_cursor: string | null; has_more: boolean };
type SocialCrawlResponse =
  | { success: true; data: any; pagination?: Page; credits_used: number; request_id: string }
  | { success: false; error: { type: string; message: string; retryable: boolean }; request_id: string };

const sleep = (ms: number) => new Promise((resolve) => setTimeout(resolve, ms));
// Exponential backoff with jitter: about 1 s, 2 s, then 4 s.
const backoffMs = (attempt: number) => 2 ** attempt * 1000 * (0.5 + Math.random() / 2);

async function socialcrawl(url: URL) {
  // One Idempotency-Key per request, reused on every retry, so a retried call is never charged twice.
  const idempotencyKey = crypto.randomUUID();
  for (let attempt = 0; ; attempt++) {
    let res: Response;
    let body: SocialCrawlResponse;
    try {
      res = await fetch(url, {
        headers: {
          "x-api-key": API_KEY,
          "Idempotency-Key": idempotencyKey,
        },
        signal: AbortSignal.timeout(TIMEOUT_MS),
      });
      body = (await res.json()) as SocialCrawlResponse;
    } catch (error) {
      // A timeout, a dropped connection or a non-JSON gateway page: retry with the same key.
      if (attempt >= MAX_RETRIES) throw error;
      await sleep(backoffMs(attempt));
      continue;
    }
    if (body.success) return body;
    // Branch on error.type, never on the message text.
    if (body.error.type === "RESOURCE_NOT_FOUND") return null; // refunded: nothing to read
    const retryAfter = res.headers.get("Retry-After");
    // SERVICE_UNAVAILABLE without Retry-After is a withdrawn endpoint: permanent.
    const permanent = body.error.type === "SERVICE_UNAVAILABLE" && retryAfter === null;
    if (!body.error.retryable || permanent || attempt >= MAX_RETRIES) {
      throw new Error(`${body.error.type}: ${body.error.message} (request_id ${body.request_id})`);
    }
    // Retry-After (seconds) wins; otherwise back off.
    await sleep(retryAfter ? Number(retryAfter) * 1000 : backoffMs(attempt));
  }
}

const url = new URL("https://www.socialcrawl.dev/v1/facebook/search/groups");
url.searchParams.set("query", "vintage cars");
url.searchParams.set("relevance", "filter");

// Walk the list: send pagination.next_cursor back as cursor until has_more is false.
const MAX_PAGES = 10; // each page is one call
const items: unknown[] = [];
for (let page = 0; page < MAX_PAGES; page++) {
  const body = await socialcrawl(url);
  if (!body) break;
  items.push(...body.data.items);
  const next = body.pagination?.next_cursor;
  if (!body.pagination?.has_more || !next) break;
  url.searchParams.set("cursor", next);
}
console.log(`${items.length} items`);

Parameters worth sending

  • relevance=filter Drops rows that are not about your query, at no extra credits; relevance=score keeps them and adds a score.

Parameters

ParameterRequiredDescription
queryYesKeywords describing the groups to find, for example `vintage cars`. Keywords only: the search is already limited to public Facebook groups, so a `site:` operator is refused before billing.
pageNoPage number, starting at 1. Forwarding `pagination.next_cursor` as `cursor` does the same.
includeNoSet to `details` (one token only) to fill, on every group in this one call, `author.followers` (members), `author.bio` (the description), `author.joined_at`, `author.ext.group.privacy_label`, `visibility_label`, `activity` and `id` (the numeric group id), and the name where it was null. Holds 1 credit per group (at most 10 a page) and keeps only the groups whose member count, description or activity was filled from a fresh lookup; groups already in cache and groups the lookup cannot fill are refunded, so a page is never more than 11 credits. The join takes 3 to 7 seconds on a fresh page, never more than 12, and nothing when the groups are already cached; read `data.hydration` for the rows, the credits held and kept, and the time. Without it the call is unchanged. (details)
relevanceNoOptional. 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_thresholdNoOptional, 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_toNoOptional, 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.
judgmentsNoOptional, 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_runNoOptional. 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)
fitNoOptional. 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)
goalNoRequired by fit=goal. What you are trying to do, in your own words, up to 300 characters.
fit_tokensNoOptional, 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.
max_pagesNo1 to 50 (default 1, or 50 when `max_items` or `max_credits` is sent). Walk up to this many pages in one call and return the rows from all of them. Each page walked is billed exactly as one call to this endpoint (a cached page is free) and counts against your rate limit; its charge and any refund are recorded under the page's own request id, listed in `data.walk.request_ids`. 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`, `max_items`, `max_credits`, `time_budget`, `page_error`) and `pagination.next_cursor` continues from where it stopped.
max_itemsNo1 to 5000. Get more in one call: keep walking pages until the response holds at least this many rows, then stop with `data.walk.stopped: "max_items"`. The last page is returned whole (it was billed), so `data.items` can hold up to one page more than this, and `pagination.next_cursor` resumes right after it without skipping a row. Walks up to 50 pages unless `max_pages` says fewer; each page is billed as one call (a cached page is free). Add `max_credits` to cap the spend. A long walk can stop on the time budget first (`"time_budget"`): send the returned cursor with the same params to continue.
max_creditsNo1 to 100000. The most this call may spend, across every page it walks. A page starts only while the credits already spent plus that page's price (or, when higher, the most any page of this walk has cost) still fit, so the call never goes past it; the walk then stops with `data.walk.stopped: "max_credits"` and the cursor to resume. Sent alone, it walks as far as the budget goes (up to 50 pages). A value below the price of one page is a free 400 whose `error.details.page_credits` names that price. Credits a row join (`include=`) adds are known only once a page has run, so page 1 is checked against its own price.
Example Response

What does the Facebook Search Groups 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": "facebook",
  "endpoint": "/v1/facebook/search/groups",
  "data": {
    "items": [
      {
        "author": {
          "id": "user_f84244",
          "username": null,
          "display_name": "user_07f0c2",
          "avatar_url": null,
          "bio": null,
          "verified": null,
          "followers": null,
          "following": null,
          "posts_count": null,
          "likes_count": null,
          "url": "https://example.com/user_20b8cd",
          "private": null,
          "joined_at": null,
          "ext": {
            "search_hit": {
              "match": "group_page",
              "title": "Sample comment text (redacted).",
              "snippet": "Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted).",
              "evidence_url": "https://example.com/user_20b8cd"
            }
          }
        },
        "computed": {
          "relevance": {
            "p": 0.93,
            "sense": "target",
            "depth": 2.8,
            "spam": 0.36
          }
        }
      },
      {
        "author": {
          "id": "user_3e33a9",
          "username": null,
          "display_name": null,
          "avatar_url": null,
          "bio": null,
          "verified": null,
          "followers": null,
          "following": null,
          "posts_count": null,
          "likes_count": null,
          "url": "https://example.com/user_180d85",
          "private": null,
          "joined_at": null,
          "ext": {
            "search_hit": {
              "match": "post_in_group",
              "title": "Sample comment text (redacted).",
              "snippet": "Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted).",
              "evidence_url": "https://example.com/user_1ba3ba"
            }
          }
        },
        "computed": {
          "relevance": {
            "p": 0.96,
            "sense": "target",
            "depth": 2.99,
            "spam": 0.13
          }
        }
      }
    ],
    "total": null,
    "relevance": {
      "mode": "score",
      "topic_source": "query",
      "rows": 10,
      "scored": 10,
      "cached": 5,
      "kept": 10,
      "dropped": 0,
      "dropped_ids": [],
      "unjudged": 0,
      "too_short": 0,
      "threshold": 0.5,
      "extra_credits": 0,
      "methodology_version": "relevance/2",
      "origin": "default",
      "pending": 0,
      "pending_ids": [],
      "status": "complete"
    },
    "dropped": 0
  },
  "credits_used": 1,
  "request_id": "req_example000000",
  "cached": false,
  "pagination": {
    "next_cursor": "sc.eyJ2IjoyLCJjIjoiMiIsImUiOiJmYWNlYm9vay9zZWFyY2gvZ3JvdXBzIiwicCI6InBhZ2UifQ",
    "has_more": true,
    "page_size": 10
  },
  "credits_remaining": 9999,
  "source": "captured",
  "captured_at": "2026-10-02T12:42:45.019Z",
  "redacted": true
}

Live sample illustrating the unified response shape. Field values reflect the record you query.

API Details

How does the Facebook Search Groups 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

Why SocialCrawl

Why use SocialCrawl for Facebook Search Groups data?

We handle the complexity of Facebook data extraction so you can focus on building. Unified schema, AI enrichment, and zero platform logic in your code.

Developer First

How do you scrape social media data in seconds?

The fastest social media scraping API for developers. Scrape profiles, posts, comments, and analytics from 69 platforms covering 10B+ monthly active users.

One schema, every platform

Query 69 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()
[ .JSON ]
{
  "success": true,
  "platform": "tiktok",
  "data": {
    "author": {
      "username": "charlidamelio",
      "followers": 152400000
    },
    "engagement": {
      "likes": 12400000000,
      "engagement_rate": 0.087
    },
    "metadata": {
      "language": "en",
      "content_category": "lifestyle"
    }
  }
}
+ 69 platforms
FAQ

Have a question? We got answers

Find answers to frequently asked questions about SocialCrawl's API, pricing, and capabilities.

Contact us
What does the Facebook Search Groups API return?
Returns public Facebook groups matching a keyword, each with the group key, page URL, and whether the hit was the group page or a post inside it. The response uses the same JSON envelope as every SocialCrawl endpoint, with the data, credits_used and request_id fields.
When should I use the Facebook Search Groups endpoint?
Use it to find groups before facebook/group. include=details fills members and privacy, one credit per group filled.
How much does the Facebook Search Groups API cost?
The price depends on the request, from 1 to 15 credits per call. Every new account gets 100 free credits. Credits for failed or empty calls are refunded automatically, and there is no subscription.
What parameters does the Facebook Search Groups API need?
The one required parameter is query (keywords describing the groups to find, for example vintage cars). It also accepts 13 optional parameters, all listed on this page. The optional parameter to try first is relevance (Drops rows that are not about your query, at no extra credits; relevance=score keeps them and adds a score).
How do I call the Facebook Search Groups API?
Send a GET request to https://www.socialcrawl.dev/v1/facebook/search/groups?query=vintage%20cars with your API key in the x-api-key header. An Authorization: Bearer header works too.

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🤖 AI agent or LLM? Read this page as markdown