# Facebook Hashtag Scraper (`apify/facebook-hashtag-scraper`) Actor Extract data from hundreds of Facebook posts using one or multiple hashtags. Get post text\&URL, time of posting, basic poster info, image\&video URLs, OCR text, likes, comments and shares count, and more. Download the data in JSON, CSV, Excel and use it in apps, spreadsheets, and reports. - **URL**: https://apify.com/apify/facebook-hashtag-scraper.md - **Developed by:** [Apify](https://apify.com/apify) (Apify) - **Categories:** Social media - **Stats:** 5,015 total users, 73 monthly users, 100.0% runs succeeded, 36 bookmarks - **User rating**: 4.17 out of 5 stars ## Pricing $5.00 / 1,000 posts 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/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes. 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. Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md. ## 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. Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run. For examples already wired to this Actor's own input schema, see the [API](#api) section below. Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`). # README ### What is Facebook Hashtag Scraper? It's a simple and powerful tool that allows you to **extract Facebook posts which include hashtags of your choice.** The scraped posts could be from either Facebook Pages or Facebook Groups, as long as they contain the hashtag. To get that data, just type in or paste a hashtag **and click "Save & Start" button**. ### What Facebook hashtags data can I extract? With this Facebook API, you will be able to extract the following hashtag data from Facebook:
🔗 Post URL 📝 Post text
🖼 Image URLs ⏰ Time of posting
▶️ Video URLs 👍 Likes, comments and shares count
🦾 OCR text from images 🥷 Basic info about the posting account
### Why scrape Facebook hashtags? 🤬 Analyze social media and identify hot spots of misinformation or hate speech 🔎 Conduct market research or product analysis 🤺 Monitor competition 🤔 Track brand sentiment and shifts in customer engagement ### How do I use Facebook Hashtag Scraper? Facebook Hashtag Scraper was designed to be easy to start with even if you've never extracted data from the web before. Here's how you can scrape Facebook data with this tool: 1. [Create](https://console.apify.com/sign-up) a free Apify account using your email. 2. Open [Facebook Hashtag Scraper.](https://apify.com/apify/facebook-hashtag-scraper) 3. Add one or more hashtags to scrape Facebook posts by. 4. Click "Start" and wait for the data to be extracted. 5. Download your data in JSON, XML, CSV, Excel, or HTML. ### Input The input for Facebook Hashtag Scraper should be **keyword hashtags** by which you want to scrape Facebook pages and groups. Click on the [input tab](https://apify.com/apify/facebook-hashtag-scraper/input-schema) for a full explanation of input in JSON. ```jsx { "keywordList": [ "sustainability" ], "resultsLimit": 25, "maxRequestRetries": 5 } ... ``` ### Output sample The results will be wrapped into a dataset which you can find in the **Storage** tab. Here's an excerpt from the dataset you'd get if you apply the input parameters above: ![Scraping Facebook Hashtags](https://i.imgur.com/uhy8Qjq.png) And here is the same data but in JSON. You can choose in which format to download your Facebook data: JSON/JSONL, Excel, HTML table, CSV, or XML. ```jsx [{ "id": "UzpfSTEwMDA4ODIwMzI0Nzg1MTpWSzo1NzY0NjkzOTYzNjI5Nzgx", "postId": "5764693963629781", "feedbackId": "ZmVlZGJhY2s6NTc2NDY5Mzk2MzYyOTc4MQ==", "user": { "id": "100088203247851", "name": "Swayam Polyplast Private Limited", "profileUrl": "https://www.facebook.com/people/Swayam-Polyplast-Private-Limited/100088203247851/", "profilePic": "https://scontent-hou1-1.xx.fbcdn.net/v/t39.30808-1/325752910_1358968068289721_1012420025108287726_n.jpg?stp=cp0_dst-jpg_p40x40&_nc_cat=102&ccb=1-7&_nc_sid=c6021c&_nc_ohc=NeOna5oU5JIAX_-W-Ic&_nc_ht=scontent-hou1-1.xx&oh=00_AfAY3NX_L7vvSbA9okKTZhGyH8S31QLKeVu-ZA_KM1SxHA&oe=644B6B11" }, "date": "2023-03-21T07:12:00.000Z", "url": "https://www.facebook.com/groups/1516336221798931/posts/5764693963629781/", "text": "Imagination is the beginning of creation. You imagine what you desire, you will what you imagine and at last you create what you will.\n\nWe at Swayam Polyplast Private Limited always aim to improvise and advance ourselves and market with new creations and varieties.\n\nSo we are launching new pure virgin Printed textured exclusive designs in the market.\n\nThese all designs are exclusive, innovative and only available with us.\n\nThe purpose is to grow creations in Non-woven industry.Our mission is always to provide market with new varieties.\n\nYou can contact us for printed rolls or any types of customized bags in these designs.\n\nBest quality with best rates at SPPL.\n\nKindly drop your enquiries on 9512035351 or you can drop you number in comment section.\n\n#finestprinting #innovation #creations \n#ecofriendly #sustainability #topmanufacturer", "attachments": [ { "mediaset_token": "pcb.5764693963629781", "url": "https://www.facebook.com/media/set/?set=pcb.5764693963629781&type=1", "all_subattachments": { "count": 13, "nodes": [ { "deduplication_key": "ad5c8c14b059626c0bf923f3ea3a55f2", "media": { "__typename": "Photo", "is_playable": false, "image": { "uri": "https://scontent-hou1-1.xx.fbcdn.net/v/t39.30808-6/336264212_101824346200960_6964377692391995933_n.jpg?stp=dst-jpg_p720x720&_nc_cat=100&ccb=1-7&_nc_sid=5cd70e&_nc_ohc=Lwci4G5bp5AAX-1rNK1&_nc_ht=scontent-hou1-1.xx&oh=00_AfDrs8AblxtR4n-W-FwdBgubJl_H9ktcLsU7wAfsv_dQpQ&oe=644B22EE", "height": 720, "width": 960 }, "viewer_image": { "height": 768, "width": 1024, "uri": "https://scontent-hou1-1.xx.fbcdn.net/v/t39.30808-6/336264212_101824346200960_6964377692391995933_n.jpg?_nc_cat=100&ccb=1-7&_nc_sid=5cd70e&_nc_ohc=Lwci4G5bp5AAX-1rNK1&_nc_ht=scontent-hou1-1.xx&oh=00_AfCx1ddzmrBj6NUusFyHeC3FVbS6CKXk6vpfifr-NA9Zig&oe=644B22EE" }, "id": "158116530471788", "__isMedia": "Photo", "photo_cix_screen": null, "copyright_banner_info": null, "accessibility_caption": "May be an image of leather", "focus": { "x": 0.5, "y": 0.33 }, "owner": { "__typename": "User", "id": "100088203247851" }, "__isNode": "Photo" }, "url": "https://www.facebook.com/photo.php?fbid=158116530471788&set=gm.5764693966963114&type=3" }, { "deduplication_key": "ee499fb3dc9a91529974aa9f6121d32f", "media": { "__typename": "Photo", "is_playable": false, "image": { "uri": "https://scontent-hou1-1.xx.fbcdn.net/v/t39.30808-6/336446233_625284332767236_4583409278292740172_n.jpg?_nc_cat=107&ccb=1-7&_nc_sid=5cd70e&_nc_ohc=iqJr1dGO_ogAX_0NPaa&_nc_ht=scontent-hou1-1.xx&oh=00_AfCzMh_GtwSB-ChAgha-0w2EWZqkGnCol3iwMU5CxWJq7g&oe=644B3837", "height": 720, "width": 960 }, "viewer_image": { "height": 720, "width": 960, "uri": "https://scontent-hou1-1.xx.fbcdn.net/v/t39.30808-6/336446233_625284332767236_4583409278292740172_n.jpg?_nc_cat=107&ccb=1-7&_nc_sid=5cd70e&_nc_ohc=iqJr1dGO_ogAX_0NPaa&_nc_ht=scontent-hou1-1.xx&oh=00_AfCzMh_GtwSB-ChAgha-0w2EWZqkGnCol3iwMU5CxWJq7g&oe=644B3837" }, "id": "158116583805116", "__isMedia": "Photo", "photo_cix_screen": null, "copyright_banner_info": null, "accessibility_caption": "May be an image of leather", "focus": { "x": 0.5, "y": 0.33 }, "owner": { "__typename": "User", "id": "100088203247851" }, "__isNode": "Photo" }, "url": "https://www.facebook.com/photo.php?fbid=158116583805116&set=gm.5764693980296446&type=3" }, { "deduplication_key": "d407d0d54d13bd745cb18032e3bfb708", "media": { "__typename": "Photo", "is_playable": false, "image": { "uri": "https://scontent-hou1-1.xx.fbcdn.net/v/t39.30808-6/336234431_889361365613919_4464042913417039303_n.jpg?stp=dst-jpg_p720x720&_nc_cat=109&ccb=1-7&_nc_sid=5cd70e&_nc_ohc=liyrjoqzh7IAX_J_2Yg&_nc_ht=scontent-hou1-1.xx&oh=00_AfAU9Uv2yW6O4maVaoYjWpjrFev9d8HMmoTuK_IlGY9Fsg&oe=644BD292", "height": 720, "width": 960 }, "viewer_image": { "height": 768, "width": 1024, "uri": "https://scontent-hou1-1.xx.fbcdn.net/v/t39.30808-6/336234431_889361365613919_4464042913417039303_n.jpg?_nc_cat=109&ccb=1-7&_nc_sid=5cd70e&_nc_ohc=liyrjoqzh7IAX_J_2Yg&_nc_ht=scontent-hou1-1.xx&oh=00_AfAgQ3Be632U7L5lyOAg85xHpEJM_zzs9Xc4g6ZJhDcGdQ&oe=644BD292" }, "id": "158116620471779", "__isMedia": "Photo", "photo_cix_screen": null, "copyright_banner_info": null, "accessibility_caption": "No photo description available.", "focus": { "x": 0.5, "y": 0.33 }, "owner": { "__typename": "User", "id": "100088203247851" }, "__isNode": "Photo" }, "url": "https://www.facebook.com/photo.php?fbid=158116620471779&set=gm.5764693970296447&type=3" }, { "deduplication_key": "4733cb8e1f609221928315958ea51bb4", "media": { "__typename": "Photo", "is_playable": false, "image": { "uri": "https://scontent-hou1-1.xx.fbcdn.net/v/t39.30808-6/336667789_1652797935150959_6266386453042740413_n.jpg?stp=dst-jpg_p720x720&_nc_cat=101&ccb=1-7&_nc_sid=5cd70e&_nc_ohc=fDUWATsUVfUAX_a3BYT&_nc_ht=scontent-hou1-1.xx&oh=00_AfBfmaCFR6T-D1N_00LhFmPRIK7DtgJ2dhAI64Mj_QvdkA&oe=644ACFDF", "height": 720, "width": 960 }, "viewer_image": { "height": 768, "width": 1024, "uri": "https://scontent-hou1-1.xx.fbcdn.net/v/t39.30808-6/336667789_1652797935150959_6266386453042740413_n.jpg?_nc_cat=101&ccb=1-7&_nc_sid=5cd70e&_nc_ohc=fDUWATsUVfUAX_a3BYT&_nc_ht=scontent-hou1-1.xx&oh=00_AfAYFM-riZUpsGySeuJ5TAwT4rBlA24FgbMU-Y1t-ol1Aw&oe=644ACFDF" }, "id": "158116663805108", "__isMedia": "Photo", "photo_cix_screen": null, "copyright_banner_info": null, "accessibility_caption": "May be an image of leather", "focus": { "x": 0.5, "y": 0.33 }, "owner": { "__typename": "User", "id": "100088203247851" }, "__isNode": "Photo" }, "url": "https://www.facebook.com/photo.php?fbid=158116663805108&set=gm.5764693983629779&type=3" }, { "deduplication_key": "e7d31b0e34996643be42717a5efca88d", "media": { "__typename": "Photo", "is_playable": false, "image": { "uri": "https://scontent-hou1-1.xx.fbcdn.net/v/t39.30808-6/330051922_250246050666382_2390286419083183853_n.jpg?stp=dst-jpg_p720x720&_nc_cat=110&ccb=1-7&_nc_sid=5cd70e&_nc_ohc=T-BBZCh-7C8AX83C-7X&_nc_ht=scontent-hou1-1.xx&oh=00_AfASKa71V-gpULkx2wQbp1MPk8aZgAsqdk3ftcmrZ2tT0w&oe=644AEB79", "height": 720, "width": 960 }, "viewer_image": { "height": 768, "width": 1024, "uri": "https://scontent-hou1-1.xx.fbcdn.net/v/t39.30808-6/330051922_250246050666382_2390286419083183853_n.jpg?_nc_cat=110&ccb=1-7&_nc_sid=5cd70e&_nc_ohc=T-BBZCh-7C8AX83C-7X&_nc_ht=scontent-hou1-1.xx&oh=00_AfAmtR2s36rbqhaqjmUGKqCHIx5vDc2zhUDjqgCdP3eIkg&oe=644AEB79" }, "id": "158116720471769", "__isMedia": "Photo", "photo_cix_screen": null, "copyright_banner_info": null, "accessibility_caption": "No photo description available.", "focus": { "x": 0.5, "y": 0.33 }, "owner": { "__typename": "User", "id": "100088203247851" }, "__isNode": "Photo" }, "url": "https://www.facebook.com/photo.php?fbid=158116720471769&set=gm.5764693986963112&type=3" } ] }, "comet_product_tag_feed_overlay_renderer": null } ], "likesCount": 5, "sharesCount": 0, "commentsCount": 21 }] ... ``` ### Do I need proxies to scrape Facebook hashtags? If you run the scraper on the Apify platform, for successful Facebook scraping you will need [residential proxies](https://apify.com/proxy?pricing=residential-ip#pricing) which are included in Apify's **monthly Starter plan** **($19)**. For more details about how our pricing works, platform credits, proxies, and usage, see the [platform pricing page](https://apify.com/pricing/actors). ### Want to scrape Facebook Groups or Pages? You can use the dedicated scrapers below if you want to scrape specific Facebook data. Each of them is built particularly for the relevant Facebook scraping case be it group posts, events, pages or images. Feel free to browse them:
👥 Facebook Groups Scraper 🏞 Facebook Photos Scraper
💬 Facebook Comments Scraper 📱 Facebook Pages Info Scraper
🕹 Facebook Games Scraper 👀 Facebook Marketplace Scraper
🗓 Facebook Events Scraper 📝 Facebook Posts Scraper
🚩 Facebook Pages Scraper 🌟 Facebook Reviews Scraper
📢 Facebook Ads Scraper 👍 Facebook Likes and Reactions Scraper
🕵️‍♀️ Facebook Search Scraper
### Integrations and Facebook Hashtag Scraper Last but not least, Facebook Hashtag Scraper can be connected with almost any cloud service or web app thanks to [integrations on the Apify platform](https://apify.com/integrations). You can **integrate with LangChain, Make, Trello, Zapier, Slack, Airbyte, GitHub, Google Sheets, Google Drive**, **Asana,** and more. You can also use webhooks to carry out an action whenever an event occurs, e.g., get a notification whenever Facebook Hashtag Scraper successfully finishes a run. ### Using Facebook Hashtags Scraper with the Apify API The Apify API gives you programmatic access to the Apify platform. The API is organized around RESTful HTTP endpoints that enable you to manage, schedule, and run Apify Actors. The API also lets you access any datasets, monitor Actor performance, fetch results, create and update versions, and more. To access the API using Node.js, use the `apify-client` NPM package. To access the API using Python, use the `apify-client PyPI` package. Check out the [Apify API reference](https://docs.apify.com/api/v2) docs for full details or click on the [API tab](https://apify.com/apify/facebook-hashtag-scraper/api) for code examples. ### Is it legal to scrape Facebook hashtag data? Our [Facebook scrapers](https://apify.com/store?search=facebook) are ethical and **do not extract any private user data, such as email addresses, gender, or location**. They only extract what the user has chosen to share publicly. However, you should be aware that your results could contain personal data. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers. You can also read our blog post on the [legality of web scraping](https://blog.apify.com/is-web-scraping-legal/) and [ethical scraping](https://blog.apify.com/what-is-ethical-web-scraping-and-how-do-you-do-it/). ### Your feedback We’re always working on improving the performance of our Actors. So if you’ve got any technical feedback for Facebook Hashtag Scraper or simply found a bug, please create an issue on the Actor’s [Issues tab](https://console.apify.com/actors/qgl7gVMdjLUUrMI5P/issues) in Apify Console. ### How many results can you scrape with Facebook Hashtag scraper? Facebook Hashtag scraper can return around 200 results on average. However, you have to keep in mind that scraping facebook.com has many variables to it and may cause the results to fluctuate case by case. There’s no one-size-fits-all-use-cases number. The maximum number of results may vary depending on the complexity of the input, location, and other factors. Some of the most frequent cases are: - website gives a different number of results depending on the type/value of the input - website has an internal limit that no scraper can cross - scraper has a limit that we are working on improving Therefore, while we regularly run Actor tests to keep the benchmarks in check, the results may also fluctuate without our knowing. The best way to know for sure for your particular use case is to do a test run yourself. ### How much will scraping Facebook Hashtag cost you? When it comes to scraping, it can be challenging to estimate the resources needed to extract data as use cases may vary significantly. That's why the best course of action is to run a test scrape with a small sample of input data and limited output. You’ll get your price per scrape, which you’ll then multiply by the number of scrapes you intend to do. [Watch this video](https://www.youtube.com/watch?v=-wyz2iscZ30) for a few helpful tips. And don't forget that choosing a higher plan will save you money in the long run. ### Not your cup of tea? Build your own scraper Facebook Hashtag Scraper doesn’t exactly do what you need? You can always build your own! We have various [scraper templates](https://apify.com/templates) in Python, JavaScript, and TypeScript to get you started. Alternatively, you can write it from scratch using our [open-source library Crawlee](https://crawlee.dev/). You can keep the scraper to yourself or make it public by adding it to Apify Store (and [find users](https://blog.apify.com/make-regular-passive-income-developing-web-automation-actors-b0392278d085/) for it). Or let us know if you need a [custom scraping solution](https://apify.com/custom-solutions). ### Your feedback We’re always working on improving the performance of our Actors. So if you’ve got any technical feedback for Facebook Hashtag Scraper or simply found a bug, please create an issue on the Actor’s [Issues tab](https://console.apify.com/actors/qgl7gVMdjLUUrMI5P/issues) in Apify Console. # Actor input Schema ## `keywordList` (type: `array`): Spaces or special characters will bring no results ## `resultsLimit` (type: `integer`): Max amount of results per keyword ## Actor input object example ```json { "keywordList": [ "travel" ], "resultsLimit": 50 } ``` # Actor output Schema ## `dataset` (type: `string`): Dataset containing all scraped data # 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 = { "keywordList": [ "travel" ], "resultsLimit": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("apify/facebook-hashtag-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 = { "keywordList": ["travel"], "resultsLimit": 50, } # Run the Actor and wait for it to finish run = client.actor("apify/facebook-hashtag-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "keywordList": [ "travel" ], "resultsLimit": 50 }' | apify call apify/facebook-hashtag-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,apify/facebook-hashtag-scraper" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/qgl7gVMdjLUUrMI5P/builds/i2aqrRyKSrReR5qqT/openapi.json