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Tavily Map API

Returns the list of URLs found on a website starting from one page, without the content of those pages.

GET /v1/tavily/map

Last updated November 2026Maintained by the SocialCrawl team

When to use the Tavily Map API

Use it when you only need to know what pages a site has. Use crawl instead when you also want each page's content.

From the API reference

Returns the sitegraph of a website starting from a root URL: a list of discovered URLs without their full content. Cheaper and faster than crawl when you only need to enumerate pages (e.g. for sitemap discovery or coverage analysis). Use instructions to guide the mapper in natural language and the select_* / exclude_* filters (regex patterns, comma-separated) to narrow scope.

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
Tavily API

What can you do with the Map API?

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

Example Request

# GET /v1/tavily/map: 1 credit per call. 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 60: the API's own time limit for this endpoint.
# --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.
IDEMPOTENCY_KEY=$(od -An -N16 -tx1 /dev/urandom | tr -d ' \n')
curl -sS --max-time 60 --retry 3 -o response.json \
  -H "x-api-key: YOUR_API_KEY" \
  -H "Idempotency-Key: $IDEMPOTENCY_KEY" \
  "https://www.socialcrawl.dev/v1/tavily/map?url=https%3A%2F%2Fdocs.tavily.com" && cat response.json
# GET /v1/tavily/map: 1 credit per call. 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 = 60  # the API's own time limit for this endpoint.
MAX_RETRIES = 3
URL = "https://www.socialcrawl.dev/v1/tavily/map"


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 = {
    "url": "https://docs.tavily.com",
}
body = socialcrawl(params)
if body is not None:
    print(body["data"])
// GET /v1/tavily/map: 1 credit per call. 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 = 60_000; // the API's own time limit for this endpoint.
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/tavily/map");
url.searchParams.set("url", "https://docs.tavily.com");

const body = await socialcrawl(url);
if (body) console.log(body.data);

Parameters

ParameterRequiredDescription
urlYesRoot URL to begin mapping.
max_depthNoMaximum link depth from the root URL. Defaults to 1.
max_breadthNoMaximum number of links followed per level (per page). Defaults to 20.
limitNoTotal number of links the mapper will process before stopping. Defaults to 50.
instructionsNoNatural-language instructions for the mapper (e.g. 'Find all pages related to API documentation').
select_pathsNoComma-separated regex patterns: only include URLs whose path matches.
select_domainsNoComma-separated regex patterns: only include URLs whose domain matches.
exclude_pathsNoComma-separated regex patterns: exclude URLs whose path matches.
exclude_domainsNoComma-separated regex patterns: exclude URLs whose domain matches.
allow_externalNoWhether to follow / return links to external domains. Defaults to true.
timeoutNoMaximum time in seconds (10-150).
categoriesNoComma-separated list of category hints to bias mapping toward.
Example Response

What does the Tavily Map 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/engagement",
  "data": {
    "engagement_rate_percentages": 38.33,
    "recent_posts": 12,
    "followers": 87608035,
    "comments": 528912,
    "likes": 33049046,
    "recent_posts_explanation": "Statistics based on the last 12 posts",
    "id_user": "2278169415",
    "username": "mrbeast",
    "is_private": false,
    "posts_details": [
      {
        "likes": 5636982,
        "comments": 69484,
        "taken_at": 1781457954,
        "datetime": "2026-06-14 20:25:54",
        "hours_since_post": 461,
        "time_ago": "19 days ago",
        "likes_per_hour": 12228,
        "comments_per_hour": 151
      },
      {
        "likes": 20000768,
        "comments": 223510,
        "taken_at": 1732824650,
        "datetime": "2024-11-28 23:10:50",
        "hours_since_post": 13971,
        "time_ago": "2 years ago",
        "likes_per_hour": 1432,
        "comments_per_hour": 16
      },
      {
        "likes": 929226,
        "comments": 30633,
        "taken_at": 1782232475,
        "datetime": "2026-06-23 19:34:35",
        "hours_since_post": 246,
        "time_ago": "10 days ago",
        "likes_per_hour": 3777,
        "comments_per_hour": 125
      },
      {
        "likes": 487761,
        "comments": 22482,
        "taken_at": 1781799425,
        "datetime": "2026-06-18 19:17:05",
        "hours_since_post": 366,
        "time_ago": "15 days ago",
        "likes_per_hour": 1333,
        "comments_per_hour": 61
      },
      {
        "likes": 712265,
        "comments": 15716,
        "taken_at": 1781366405,
        "datetime": "2026-06-13 19:00:05",
        "hours_since_post": 487,
        "time_ago": "20 days ago",
        "likes_per_hour": 1463,
        "comments_per_hour": 32
      },
      {
        "likes": 1475116,
        "comments": 35386,
        "taken_at": 1781277094,
        "datetime": "2026-06-12 18:11:34",
        "hours_since_post": 512,
        "time_ago": "21 days ago",
        "likes_per_hour": 2881,
        "comments_per_hour": 69
      },
      {
        "likes": 1108220,
        "comments": 26632,
        "taken_at": 1780160249,
        "datetime": "2026-05-30 19:57:29",
        "hours_since_post": 822,
        "time_ago": "1 months ago",
        "likes_per_hour": 1348,
        "comments_per_hour": 32
      },
      {
        "likes": 542948,
        "comments": 28476,
        "taken_at": 1779375582,
        "datetime": "2026-05-21 17:59:42",
        "hours_since_post": 1040,
        "time_ago": "1 months ago",
        "likes_per_hour": 522,
        "comments_per_hour": 27
      },
      {
        "likes": 698514,
        "comments": 24401,
        "taken_at": 1779120014,
        "datetime": "2026-05-18 19:00:14",
        "hours_since_post": 1111,
        "time_ago": "2 months ago",
        "likes_per_hour": 629,
        "comments_per_hour": 22
      },
      {
        "likes": 468000,
        "comments": 13548,
        "taken_at": 1778947209,
        "datetime": "2026-05-16 19:00:09",
        "hours_since_post": 1159,
        "time_ago": "2 months ago",
        "likes_per_hour": 404,
        "comments_per_hour": 12
      },
      {
        "likes": 526594,
        "comments": 24411,
        "taken_at": 1777737719,
        "datetime": "2026-05-02 19:01:59",
        "hours_since_post": 1495,
        "time_ago": "2 months ago",
        "likes_per_hour": 352,
        "comments_per_hour": 16
      },
      {
        "likes": 462652,
        "comments": 14233,
        "taken_at": 1777580305,
        "datetime": "2026-04-30 23:18:25",
        "hours_since_post": 1538,
        "time_ago": "2 months ago",
        "likes_per_hour": 301,
        "comments_per_hour": 9
      }
    ]
  },
  "credits_used": 5,
  "credits_remaining": 9999,
  "request_id": "req-8Kq2ZmR4vT9xLb3P",
  "cached": false,
  "redacted": true
}

Example captured from the Instagram API. Every SocialCrawl endpoint returns this same unified schema, so your Tavily Map response has the same fields.

API Details

How does the Tavily Map 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 Tavily Map data?

We handle the complexity of Tavily 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
How do I map a website's structure with the Tavily API?
Send a GET request to /v1/tavily/map with the site's root in the url parameter and your SocialCrawl x-api-key. Tavily traverses links from that root and returns the discovered URLs as a sitegraph, a fast way to learn a site's layout without fetching every page's content.
What controls how deep and wide the map goes?
max_depth sets how many link hops out from the root, max_breadth caps links followed per level, and limit caps the total URLs returned. Tune these to balance coverage against credit and time for large sites.
Can I restrict the map to certain sections of a site?
Yes. Use path filters to include or exclude URL paths (e.g. only /docs) and domain filters to keep the map on the target domain or allow specific subdomains. This keeps the sitegraph focused on the section you care about.
How is map different from crawl?
Map discovers URLs and returns the link structure without extracting page content, so it is fast and cheap for understanding a site's shape. Crawl walks the site and pulls content along the way. Use map to plan, then crawl or extract to ingest.
How much does the Tavily Map API cost?
Each map call costs 1 credit on the standard tier. New accounts get 100 free credits with no credit card required, enough to map many sites and tune depth, breadth, and limit before you pay anything.

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