Hi everyone,

I wanted to share a collection of Instagram scraping and data-extraction Actors I’ve built and launched on Apify. The goal was to create a complete Instagram toolkit covering different use cases rather than having to use a separate solution for every type of Instagram data.

The suite currently includes scrapers and tools for Instagram profiles, posts, followers, following lists, comments, keyword searches, tagged posts, stories, and media downloading.

All of the Actors are available on Apify and are designed to return structured data that can be used directly in datasets, APIs, automation workflows, research pipelines, and other data-processing systems.

Instagram Scrapers & Tools

Instagram Followers & Following Scraper
Extract followers and following lists from Instagram profiles and collect structured profile information from the results.
Instagram Followers & Following Scraper

Instagram Keyword Search Scraper
Search Instagram using keywords and collect relevant profiles, posts, or search results for research, discovery, and monitoring workflows.
Instagram Keyword Search Scraper

Instagram Downloader API
An API-oriented tool for downloading Instagram media and integrating Instagram media retrieval into automated workflows.
Instagram Downloader API

Instagram Comment Scraper
Collect comments from Instagram posts for research, engagement analysis, content analysis, and other data workflows.
Instagram Comment Scraper

Instagram Story Downloader
Retrieve Instagram Story content for supported use cases and automated workflows.
Instagram Story Downloader

Instagram Profile Scraper
Extract structured information from Instagram profiles, making it easier to build profile datasets or enrich existing data.
Instagram Profile Scraper

Instagram Posts Scraper
Collect Instagram posts and their available metadata for content research, monitoring, analytics, and data collection.
Instagram Posts Scraper

Instagram Tagged Posts Scraper
Find and collect posts in which an Instagram profile has been tagged, useful for content discovery and profile research.
Instagram Tagged Posts Scraper

What can you use these for?

Depending on the Actor, some common applications include:

• Instagram profile research
• Social media monitoring
• Influencer and creator research
• Competitor analysis
• Content research
• Audience and follower analysis
• Hashtag and keyword research
• Engagement analysis
• Lead and prospect research
• Social media datasets
• Market research
• Media collection and archival workflows
• Automated Instagram data pipelines

The main idea is to have one place on Apify for different Instagram data-collection requirements, whether you need a single profile, thousands of posts, comments from specific posts, follower data, keyword-based discovery, or media retrieval.

Pricing

I've also tried to keep the pricing competitive and accessible, with discounts available on several of the Actors.

If you're already using Apify for web scraping, social media research, data enrichment, or automation, you can check the individual Actor pages above to see the current pricing, inputs, outputs, and supported features.

I'm also interested in hearing from other developers: what Instagram data are you currently trying to collect or automate?

If there's a particular Instagram use case that isn't covered by the current suite, feel free to mention it in the comments. It may be something I can add to the collection.

Thanks for checking it out.

Hi everyone,

I recently built and published a LinkedIn Profile Scraper on Apify, and I wanted to share it with the community in case it is useful for anyone working with LinkedIn data, lead enrichment, recruiting, research, or automation.

The Actor is designed to take a list of LinkedIn profile URLs or usernames and return the available profile information as structured data.

Actor:
LinkedIn Profile Scraper on Apify

What can it extract?

Depending on what is available on the profile, the output can include:

• Name
• Headline
• Location
• About / summary
• Profile URL
• Profile picture
• Current job title
• Current positions
• Previous positions
• Companies and company URLs
• Employment dates
• Education history
• Skills
• Languages
• Certifications
• Industry
• Follower count
• Recent posts / articles
• Publication dates and engagement information where available

The output is structured so it can be used directly in downstream workflows rather than having to process raw HTML yourself.

How it works

The input is intentionally simple. You provide a list of LinkedIn profiles, for example:

• https://www.linkedin.com/in/username
• linkedin.com/in/username
• in/username
• username

The Actor normalizes these formats automatically.

For public profiles, no LinkedIn login is required.

For profiles where more information is only available to an authenticated user, the Actor also supports providing your own LinkedIn session cookie. The cookie is stored as a secret on Apify and is used only for requests to LinkedIn.

The Actor uses multiple extraction methods and falls back between them when a particular profile cannot be retrieved through one method. This helps the run continue instead of stopping because of a single inaccessible profile.

Some use cases I've had in mind

Lead enrichment

Start with a list of LinkedIn profile URLs and enrich your existing records with titles, companies, locations, skills, and other available profile information.

Recruiting

Build structured candidate datasets containing experience, education, skills, current positions, and career history.

Research

Analyze career paths, professional backgrounds, industries, or other publicly available professional information across a larger set of profiles.

CRM enrichment

Use LinkedIn URLs that you already have and append structured professional information to your existing records.

Competitive / market research

Build datasets around publicly available professional information for people and organizations you are researching.

A few important limitations

This Actor is focused on information available from LinkedIn profiles. It does not provide private messages, email addresses, phone numbers, or other contact information that isn't exposed on the profile.

Profile accessibility also varies. Public profiles generally provide more information without authentication, while some regular profiles may require an authenticated session. Fields that aren't available are omitted from the output rather than being returned as null.

There can also be platform-imposed limits on high-volume authenticated access, so I recommend using the Actor responsibly and only accessing data you are authorized to access.

Pricing

The Actor currently starts at $5 per 1,000 results, so it is intended to be usable for both smaller enrichment jobs and larger datasets.

If anyone here works with LinkedIn data through Apify, I'd be interested to hear what workflows you're building.

And if you have questions about the Actor, its input/output format, integrating it into an Apify workflow, or using the resulting dataset with another tool, feel free to ask. I'll be happy to answer.

Actor: LinkedIn Profile Scraper

You can also explore other linkedin Scrapers launched on Apify at:
crawlerbros.com/suite/linkedin

20+ linkedin actors launched on apify, I have tried to cover as much cases as possible.

Thank you
Peace

We’re excited to announce the launch of our comprehensive crawler and automation suites on Apify, covering some of the world's most popular platforms, including LinkedIn, Instagram, TikTok, YouTube, Google Maps, and many more.

Our goal has been to build a complete ecosystem of reliable, production-ready actors that address a wide range of data extraction, lead generation, market research, competitor analysis, and business intelligence use cases. We've worked hard to cover as many real-world scenarios as possible and continue to expand our offerings based on user feedback.

You can explore our full collection here:

🔹 Apify Store: www.apify.com/crawlerbros
🔹 Website: https://www.crawlerbros.com/

If you have a specific use case that isn't currently covered, we'd love to hear from you. We regularly build custom solutions and are always looking for new ideas to help businesses, researchers, and developers automate their workflows more effectively.

Feedback, feature requests, and suggestions are always welcome.

Pakistani society feels like it is entering a phase similar to what many Western societies went through during the rise of modern online feminism and gender wars. Every day on Reddit, Twitter/X, and other platforms, there seems to be increasing hostility between men and women.

Some of the issues women raise are real and deserve attention like harassment, abuse, lack of safety, and unfair treatment are genuine problems. But at the same time, many men are also struggling with abuse, false accusations, emotional neglect, financial pressure, loneliness, and violence. Yet online discussions often reduce everything to “men bad, women victims,” which only creates more resentment on both sides.

What worries me is how normalized this hostility is becoming. Young men are increasingly being told they are inherently toxic, while young women are being encouraged to see marriage and traditional family life as oppression. Careers and independence are important, but it feels unhealthy when society starts treating relationships and family as burdens instead of meaningful parts of life.

Because of this, I think many men will slowly stop chasing validation, relationships, or marriage altogether and instead focus on themselves, work, hobbies, faith, or personal peace. We are already seeing this globally and soon we may witness this in pakistan as well.

The long-term result would probably be a colder and more transactional society where trust between men and women keeps declining. That would not be good for anyone.

This is just my perspective on the direction society seems to be heading toward. Whether people agree or disagree, I think the growing divide between men and women is becoming impossible to ignore.

These videos explain some of the trends I’m talking about:
https://youtu.be/pfEHQH1RSr0?si=n52JgnwbTWvzajVv
https://youtu.be/HfwQvfchMXU?si=lOCWAR1ZOjgL_mEx