# ✅ Facebook Follower Count Tracker, Page Analytics & Scraper (`k1ra/facebook-follower-count-scraper`) Actor Facebook follower count tracker & analytics — track Facebook followers, monitor page growth, pull follower & following counts + follower analytics in bulk. No login, no cookies. One engine also covers TikTok, YouTube, Instagram, X, LinkedIn, Threads & Reddit. - **URL**: https://apify.com/k1ra/facebook-follower-count-scraper.md - **Developed by:** [Kevin Savani](https://apify.com/k1ra) (community) - **Categories:** Developer tools, Lead generation, Social media - **Stats:** 2 total users, 1 monthly users, 75.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## ✅ Facebook Follower Count Tracker, Page Analytics & Scraper Track the **Facebook follower count** of any public Page or profile in bulk — no login, no cookies, no Graph API approval. Paste page handles, hit Start, and get live follower and following counts back as clean JSON. Schedule it on a cron and it becomes a **Facebook follower tracker** that logs page growth over time. Built for brand managers, social media analysts, and agencies who need Facebook audience numbers without Meta Business Suite access. --- ### What It Does This actor is a dedicated **Facebook follower count scraper and tracker**. Give it one handle or thousands — it visits each public Facebook Page, reads the live **follower count** and **following count**, and returns a structured row per page. No Meta login, no cookies, no API token, no rate-limit approval cycle. - **Facebook follower count** — live follower number for any public Page or profile. - **Following count** — how many accounts the Page follows. - **Bulk mode** — pass hundreds or thousands of handles in a single run. - **No login, no cookies** — public data only, no session tokens or Graph API keys. - **Schedule it** — run daily/weekly to track Facebook page follower growth over time. --- ### Use Cases #### Facebook Follower Count Scraper Pull the live **Facebook follower count** for any public Page — competitors, clients, sponsorship targets, or your own brand. A self-hosted alternative to checking each page by hand or paying for a social analytics suite. #### Facebook Follower Tracker (Page Growth Monitoring) Schedule the actor on a cron and it becomes a **Facebook follower tracker** — log each page's follower count daily or weekly, pipe the dataset to a sheet or BI tool, and watch growth, plateaus, and drops across every page you care about. #### Bulk Facebook Page Follower Count Drop in a whole list of page handles for **bulk Facebook page follower count** extraction in one run. Ideal for agencies reporting on a roster of clients, or analysts sizing an entire competitor set or vertical at once. #### Facebook Follower Analytics & Page Growth Monitor Use the time-series of follower counts as lightweight **Facebook follower analytics** — a **Facebook follower monitor** that tracks **Facebook page growth** week over week. Spot follower spikes after campaigns, flag drops, and benchmark growth rate across pages without Meta Business Suite. #### Competitor & Brand Monitoring Track every competitor's **Facebook page followers** alongside your own. Feed the numbers into a dashboard for share-of-audience reporting, campaign benchmarking, and social media KPI tracking. #### Lead Enrichment & Social Proof Enrich CRM records and prospect lists with up-to-date Facebook follower counts and page URLs — a drop-in social-proof signal for sales and partnership outreach. --- ### Who Uses This | Use Case | Who It's For | |---|---| | Facebook page follower growth tracking | Social media managers, brand teams | | Competitor Facebook monitoring & benchmarking | Growth teams, agencies | | Client reporting across many pages | Marketing & PR agencies | | Influencer / partnership vetting | Sponsorship & BD teams | | Lead enrichment & social proof | Sales & outreach teams | --- ### Output Every page returns a clean, structured JSON row, ready for CSV/Excel export or downstream pipelines: ```json { "username": "zuck", "platform": "facebook", "followers": 119000000, "following": 530, "posts": null, "profileUrl": "https://www.facebook.com/zuck/", "scrapedAt": "2026-06-16T10:00:00.000Z" } ```` Fields are properly typed, dates are ISO-8601, and any metric that couldn't be read comes back `null` — the run never crashes on a single bad page. Pages that are private, deleted, or don't exist are **not** pushed to the dataset, so you're never billed for empty rows. *** ### How to Use **1.** In the **Input** tab, paste Facebook page handles into the **Facebook Pages & Profiles** field — one per line. **2.** Enable **Proxy Configuration** → select **Apify Proxy** (the built-in proxy works out of the box; RESIDENTIAL is recommended if you hit a login wall). **3.** Click **Start** — results appear in the **Dataset** tab as each page completes. ```json { "facebook": ["zuck", "MetaAI", "nasa"] } ``` **Input format:** | Field | Format | Example | |---|---|---| | Facebook | page handle (the part after `facebook.com/`) | `zuck` | *** ### Proxy Setup The actor ships with a built-in proxy that works out of the box — no configuration needed. Facebook serves a login wall to datacenter IPs, so the actor bootstraps a public session and falls back to residential automatically. Optionally supply your own proxy in the **Proxy Configuration** field if you prefer a specific provider or pool. *** ### Pricing **$5 per 1,000 pages scraped ($0.005 per page).** | Pages scraped | Estimated cost | |---|---| | 10 | ~$0.05 | | 100 | ~$0.50 | | 1,000 | ~$5.00 | *Apify Proxy data transfer is billed separately if you use Apify Proxy.* *** ### Schedule & Automate Use Apify's built-in **Scheduler** to run this actor on a cron — daily, weekly, or hourly — and turn it into a continuous **Facebook follower tracker**. Connect the dataset to Google Sheets, Zapier, Make, Slack, or any webhook via the Apify API to build a live page-growth dashboard or alerting pipeline. - **Make** ([docs](https://docs.apify.com/platform/integrations/make)) — trigger follower-count scrapes from any scenario. - **Zapier** ([docs](https://docs.apify.com/platform/integrations/zapier)) — pipe results into CRM enrichment and alerts. - **Google Sheets** — auto-export every run for a live follower-tracker sheet. - **Slack** ([docs](https://docs.apify.com/platform/integrations/slack)) — get notified when a run finishes or a count crosses a threshold. - **Apify API** — full programmatic control via the official Node.js and Python clients. *** ### Need Other Platforms? Same Engine, One Run This actor runs on an all-in-one follower engine — the **same engine also tracks follower and subscriber counts on 7 more platforms** with no cookies or login. Need more than Facebook? Use the bundle: | Platform | Data Returned | |---|---| | **TikTok** | Followers, following, likes, video count | | **YouTube** | Subscribers, video count | | **Instagram** | Followers, following, post count | | **Twitter / X** | Followers, following, tweet count | | **LinkedIn** (personal & company) | Followers, connections | | **Reddit** (subreddits) | Members, online now, weekly visitors | | **Threads** | Followers, following | | **Facebook** | Followers, following | ➡️ [**All-in-One Social Media Followers Scraper**](https://apify.com/k1ra/social-media-followers-scraper) — all 8 platforms in a single run. *** ### FAQ **Do I need a Facebook account, cookies, or the Graph API?** No. The actor reads only **public** Facebook page data — no login, no cookies, no API token, no app review. A built-in proxy handles access automatically. **Can I track Facebook follower growth over time?** Yes. Schedule the actor on a cron and export each run to a sheet or warehouse. Comparing the daily/weekly **follower count** per page gives you a full **Facebook follower tracker** and **Facebook follower monitor** — and the run history doubles as **Facebook follower analytics** for **page growth** reporting, with no extra tooling. **Can I scrape many Facebook pages at once?** Yes. Paste as many handles as you need — the actor processes them concurrently in a single run for **bulk Facebook page follower count** extraction. **What if a page is private, deleted, or unavailable?** Failed pages are not pushed to the dataset (you're not billed for them). The run continues for every other page, and a failure list (`username`, `reason`) is written to the run's Key-Value Store under `FAILED-PROFILES`. **How fresh is the data?** Every run scrapes live. There is no caching. **Can I export to a spreadsheet or call it via API?** Yes. Export the dataset to CSV/Excel from **Storage → Dataset → Export**, or trigger runs and fetch results programmatically via the Apify API and official SDKs. **Is it legal to scrape public Facebook pages?** The actor extracts only **publicly available** page data and does not bypass authentication walls or access private content. You are responsible for compliance with Facebook's Terms and applicable laws (GDPR, CCPA, etc.) when using the data. *** ### ⭐ Bookmark & Review If this **Facebook follower count tracker** saves you time, click the ⭐ at the top of the page to bookmark it and leave a quick review — it helps other Apify users find it and tells us what to build next. *** ### Support & Feedback Found a bug or want another platform or metric? Open an issue on the actor's **Issues** tab in the Apify Console — feature requests welcome. # Actor input Schema ## `facebook` (type: `array`): Facebook page or profile handles to track — bulk Facebook page follower count scraper and growth tracker for brand monitoring. Returns follower and following counts. No login, no cookies required. ## `proxyConfiguration` (type: `object`): Optional. The actor uses a built-in proxy by default. Provide your own proxy here only if you need a specific provider or residential pool. ## Actor input object example ```json { "facebook": [ "zuck" ] } ``` # Actor output Schema ## `username` (type: `string`): The profile username or subreddit name ## `platform` (type: `string`): The social media platform (instagram, facebook, threads, tiktok, twitter, youtube, reddit, linkedin) ## `followers` (type: `string`): Total follower or subscriber count. Null if not available. ## `following` (type: `string`): Number of accounts the profile follows. Null if not available. ## `posts` (type: `string`): Total number of posts or videos. Null if not available. ## `members` (type: `string`): Reddit only — total subreddit member count. ## `online` (type: `string`): Reddit only — number of members currently online. ## `weeklyVisitors` (type: `string`): Reddit only — unique visitors in the past week. ## `weeklyContributions` (type: `string`): Reddit only — posts and comments submitted in the past week. ## `profileUrl` (type: `string`): Direct URL to the scraped profile or subreddit. ## `scrapedAt` (type: `string`): ISO 8601 timestamp of when the data was scraped. ## `error` (type: `string`): Error message if the profile could not be scraped. Only present when extraction failed. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "facebook": [ "zuck" ] }; // Run the Actor and wait for it to finish const run = await client.actor("k1ra/facebook-follower-count-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "facebook": ["zuck"] } # Run the Actor and wait for it to finish run = client.actor("k1ra/facebook-follower-count-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "facebook": [ "zuck" ] }' | apify call k1ra/facebook-follower-count-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=k1ra/facebook-follower-count-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "✅ Facebook Follower Count Tracker, Page Analytics & Scraper", "description": "Facebook follower count tracker & analytics — track Facebook followers, monitor page growth, pull follower & following counts + follower analytics in bulk. No login, no cookies. One engine also covers TikTok, YouTube, Instagram, X, LinkedIn, Threads & Reddit.", "version": "0.1", "x-build-id": "Iis6aOEx4Ruh2u1Rt" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/k1ra~facebook-follower-count-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-k1ra-facebook-follower-count-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/k1ra~facebook-follower-count-scraper/runs": { "post": { "operationId": "runs-sync-k1ra-facebook-follower-count-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/k1ra~facebook-follower-count-scraper/run-sync": { "post": { "operationId": "run-sync-k1ra-facebook-follower-count-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "facebook": { "title": "Facebook Pages & Profiles", "type": "array", "description": "Facebook page or profile handles to track — bulk Facebook page follower count scraper and growth tracker for brand monitoring. Returns follower and following counts. No login, no cookies required.", "items": { "type": "string" } }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Optional. The actor uses a built-in proxy by default. Provide your own proxy here only if you need a specific provider or residential pool." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```