Instagram Mentions Scraper
Pricing
from $1.50 / 1,000 posts
Instagram Mentions Scraper
Extract data from tagged posts and mentions on Instagram. Just add one or more Instagram usernames and get post text, hashtags, mentions, comments, images, likes, locations, and metadata. Export scraped data, run the scraper via API, schedule and monitor runs, or integrate with other tools.
4.3 (7)
Pricing
from $1.50 / 1,000 posts
39
Total users
3.6K
Monthly users
354
Runs succeeded
>99%
Issues response
1.1 days
Last modified
4 days ago
You can access the Instagram Mentions Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
{ "mcpServers": { "local-actors-mcp-server": { "command": "npx", "args": [ "-y", "@apify/actors-mcp-server", "--actors", "apify/instagram-tagged-scraper" ], "env": { "APIFY_TOKEN": "<YOUR_API_TOKEN>" } } }}Configure MCP server with 🔖 Instagram Mentions and Tagged Posts Scraper
You can interact with the MCP server via standard input/output - stdio (as shown above), which is ideal for local integrations and command-line tools such as the Claude desktop client, or you can interact with the server through Server-Sent Events (SSE) to send messages and receive responses, which looks as follows:
{ "mcpServers": { "remote-actors-mcp-server": { "type": "sse", "url": "https://mcp.apify.com/sse?actors=apify/instagram-tagged-scraper", "headers": { "Authorization": "Bearer <YOUR_API_TOKEN>" } } }}You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other supported MCP client of your choice.
If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.
