Social Media Hashtag Research

What is Social Media Hashtag Research?

Social Media Hashtag Research is a powerful and easy-to-use tool that allows you to extract valuable information about posts with the same hashtag all over social media - YouTube, TikTok, Instagram, and Facebook. Using this Social Media Hashtag Research, you’ll be able to scrape:

• All TikToks, Instagram and Facebook posts, and YouTube videos posted with chosen hashtags. You’ll get information about caption, video URL, number of plays or views, hearts, comments, shares, timestamp, paid or non-paid status, video- and music-related metadata.

How to scrape social media with Social Media Hashtag Research?

Social Media Hashtag Research is designed to be user-friendly, even for those who have never extracted data from the web before! Here’s how you can use Social Media Hashtag Research to extract data from hashtags used in social media:

1. Create a free Apify account using your email.
2. Open Social Media Hashtag Research.
3. Add one or more social media hashtags to scrape data.
4. Click the “Start” button and wait for the data to be extracted.
5. Download your data in JSON, XML, CSV, Excel, or HTML.

🔼Input sample

The input for Social Media Hashtag Research should be a social media hashtag (without the # symbol). To add more than one hashtag, use the Bulk edit button.

Make sure to choose the social media from which you want to extract data. These include YouTube, Instagram, TikTok, and Facebook. You can also set the maximum number of results per social site.

See how you can fill in the input schema.

And how it looks in JSON:

1{
2    "hashtags": [
3        "webscraping"
4    ],
5    "socials": [
6        "facebook",
7        "instagram",
8        "tiktok",
9        "youtube"
10    ]
11}

🔽Output sample

The results will be wrapped into a dataset which you can always find in the Storage tab. Here's an excerpt from the data you'd get:

Here is the same data but in JSON. You can choose to download your hashtag social media data in JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML.

1{
2    "fromSocial": "instagram",
3    "text": "Motorensound für alle #zylinderfinder #usedcars #gebrauchtwagen #carporn #carlovers #autoliebe #hubraum #ccm #webscraping #programming #startup #leidenschaft #passion #emotion #emotions",
4    "thumbnailUrl": "https://scontent-lhr6-1.cdninstagram.com/v/t51.29350-15/459311868_505602212216229_3835122331948070058_n.jpg?stp=dst-jpg_e35&_nc_ht=scontent-lhr6-1.cdninstagram.com&_nc_cat=109&_nc_ohc=eeKe5BK15yMQ7kNvgGbfBOo&_nc_gid=a64216b5881048f68ff09ad90620346f&edm=APs17CUBAAAA&ccb=7-5&oh=00_AYDZD5PUSAlugkhLJWjtkYI4KjRjKUiU7vUrOn8iZwkkyQ&oe=66E87268&_nc_sid=10d13b",
5    "hashtags": [
6      "zylinderfinder",
7      "usedcars",
8      "gebrauchtwagen",
9      "carporn",
10      "carlovers",
11      "autoliebe",
12      "hubraum",
13      "ccm",
14      "webscraping",
15      "programming",
16      "startup",
17      "leidenschaft",
18      "passion",
19      "emotion",
20      "emotions"
21    ],
22    "postUrl": "https://www.instagram.com/p/C_yZ8SZuAHb/",
23    "likesCount": 1,
24    "commentsCount": 0,
25    "input": "webscraping",
26    "authorMeta.name": "Zylinder Finder",
27    "creationDate": "2024-09-11T18:52:01.000Z",
28    "id": "3454937958236815835"
29  },

How can I use the data extracted from Social Media Hashtag Research?

🦠 Analyzing trends, and viral campaigns

✨ Conducting sentiment analysis and finding authentic product reviews

👩‍🔬 Obtaining data for research and social listening experiments

🥸 Identifying unverified content and inaccurate information with high public value

📚 Preparing for or analyzing a social media hashtag strategy

Integrate Social Media Hashtag Research and automate your workflow

Last but not least, Social Media Hashtag Research can be connected with almost any cloud service or web app thanks to integrations on the Apify platform.

These include:

• Make
• Zapier
• Slack
• Airbyte
• GitHub
• Google Drive
• and much more.

Alternatively, you can use webhooks to carry out an action whenever an event occurs, e.g. get a notification whenever Social Media Hashtag Research successfully finishes a run.

Scrape any social media data you need with dedicated scrapers

Do you need hashtag data only from one social media? You can use one of our dedicated hashtag scrapers:

Not your cup of tea? Build your own scraper.

Social Media Hashtag Research doesn’t exactly do what you need?

You can always build your own! To get started, use one of the scraper templates in Python, JavaScript, or TypeScript.

Alternatively, you can write it from scratch using our open-source library Crawlee. You can keep the scraper to yourself or make it public by adding it to Apify Store and start making money on it.

Or let us know if you need a custom scraping solution.

Your feedback

We’re always working on improving the performance of our Actors. So if you’ve got any technical feedback for Social Media Hashtag Research or simply found a bug, please create an issue on the Actor’s Issues tab in Apify Console.

❓FAQ

How can I use Social Media Hashtag Research 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.

You can use the apify-client NPM package to access the API using Node.js, or the apify-client PyPI package to access the API using Python.

Check out the Apify API reference docs for full details, or click on the API tab for code examples.

Is it legal to scrape social media data with Social Media Hashtag Research?

Our social media scrapers, Social Media Hashtag Research included, are ethical and do not extract any private user data, such as email addresses, gender, or location. They can only extract what the user has chosen to share publicly. However, you should be aware that your results might contain personal data.

Personal data is protected by GDPR in the European Union and other laws and regulations around the world. 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 and ethical scraping.