SEOClerks

100+ Twitter accounts to authorize my application

100+ Twitter accounts to authorize my application

PLEASE READ CAREFULLY

What this is NOT:

- I am NOT looking to get more Twitter followers for my Twitter profile
- I am NOT looking for you to give me username and password of fake Twitter accounts
- I am NOT looking for Twitter follower software
What this IS:

I am looking for someone who has access to real or fake Twitter accounts to AUTHORIZE my Twitter 3rd party application. I will then use the credentials to do many, many lookups. I will not be tweeting or following on behalf of these accounts. I simply need lots of accounts to do many large batches of API LOOKUPS.

I don't know if there is any way for you to do this except logging into each one of your fake accounts and manually authorizing my app??? Maybe (hopefully) there's an easier way.

Please bid and INCLUDE the number of accounts you can do this for.


Requirements

PLEASE READ CAREFULLY

What this is NOT:

- I am NOT looking to get more Twitter followers for my Twitter profile
- I am NOT looking for you to give me username and password of fake Twitter accounts
- I am NOT looking for Twitter follower software

What this IS:

I am looking for someone who has access to real or fake Twitter accounts to AUTHORIZE my Twitter 3rd party application. I will then use the credentials to do many, many lookups. I will not be tweeting or following on behalf of these accounts. I simply need lots of accounts to do many large batches of API LOOKUPS.

I don't know if there is any way for you to do this except logging into each one of your fake accounts and manually authorizing my app??? Maybe (hopefully) there's an easier way.

Please bid and INCLUDE the number of accounts you can do this for.


Skills Required

Twitter API Followers

Bids

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Bid On Listing

Bid On Listing Created 13 years ago in Social Networks

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Possible Duplicate queries found!
MatchCountSQLScript
SELECT * FROM wanttobuy A, categories_wanttobuy B, seoclerks.members C WHERE A.wantid='2064' AND A.category=B.CATID AND A.USERID=C.USERID1SELECT A.*, B.name, B.seo, C.username, C.userlevel, C.footer_code, C.rating, C.ratingcount, C.googleplus_profile, C.total_recommendations, C.USERID, C.profilepicture, C.average_response_time, C.lastlogin, C.addtime FROM wanttobuy A, categories_wanttobuy B, seoclerks.members C WHERE A.wantid='2064' AND A.category=B.CATID AND A.USERID=C.USERID

/opt/clerks-staging/docroot/viewwant.php 163 () ()

SELECT * FROM ratings_buyer WHERE USERID=259571SELECT sum(good) as thumbup, sum(bad) as thumbdown FROM ratings_buyer WHERE USERID=25957

/opt/clerks-staging/docroot/include/functions/main.php 19523 GetRatingsAsBuyerTotal() ()

SELECT * FROM wanttobuy A, categories_wanttobuy B WHERE A.wantid != 2064 AND A.category=B.CATID AND A.active=1 AND (A.tags like '%Twitter API Followers%' ) LIMIT 41SELECT A.wantid, A.title, A.p1, A.maxprice, B.name, B.seo FROM wanttobuy A, categories_wanttobuy B WHERE A.wantid != 2064 AND A.category=B.CATID AND A.active=1 AND (A.tags like '%Twitter API Followers%' ) LIMIT 4

/opt/clerks-staging/docroot/viewwant.php 551 () ()

SELECT * FROM wanttobuy A, categories_wanttobuy B WHERE A.wantid != 2064 AND A.category=B.CATID AND A.active=1 AND A.USERID=25957 LIMIT 41SELECT A.wantid, A.title, A.p1, A.maxprice, B.name, B.seo FROM wanttobuy A, categories_wanttobuy B WHERE A.wantid != 2064 AND A.category=B.CATID AND A.active=1 AND A.USERID=25957 LIMIT 4

/opt/clerks-staging/docroot/viewwant.php 568 () ()

SELECT * FROM wantcomments a, seoclerks.members b WHERE a.PID='2064' AND a.USERID=b.USERID and b.status='1' AND a.status=1 order by a.CID asc1SELECT a.comment, a.USERID, a.CID, a.time_added, a.istranslated, a.parentid, b.username, b.profilepicture FROM wantcomments a, seoclerks.members b WHERE a.PID='2064' AND a.USERID=b.USERID and b.status='1' AND a.status=1 order by a.CID asc

/opt/clerks-staging/docroot/viewwant.php 835 () ()

UPDATE wanttobuy SET viewcount = viewcount + 1 WHERE wantid='2064'1UPDATE wanttobuy SET viewcount = viewcount + 1 WHERE wantid='2064'

/opt/clerks-staging/docroot/include/functions/main.php 1729 update_wantviewcount() ()

SELECT * FROM wantbids as w, seoclerks.members AS m WHERE w.active=1 AND m.USERID=w.USERID AND m.status=1 AND w.USERID>0 AND w.wantid='2064' ORDER BY w.bidid ASC 1SELECT w.bidid, w.PID, w.comment, w.title, w.pricepublic, w.USERID, w.adjustedprice, w.ip, m.profilepicture FROM wantbids as w, seoclerks.members AS m WHERE w.active=1 AND m.USERID=w.USERID AND m.status=1 AND w.USERID>0 AND w.wantid='2064' ORDER BY w.bidid ASC

/opt/clerks-staging/docroot/viewwant.php 1192 () ()

SELECT * FROM categories_wanttobuy1SELECT * FROM categories_wanttobuy

/opt/clerks-staging/docroot/libraries/adodb5/adodb.inc.php 1899 CacheExecute() parseRedundantQueriesCache()

SELECT * FROM posts WHERE USERID=259571SELECT sum(positive_ratings) as thumbup, sum(negative_ratings) as thumbdown FROM posts WHERE USERID=25957

/opt/clerks-staging/docroot/libraries/adodb5/adodb.inc.php 1899 CacheExecute() GetBuyerRatingsTotal()

SELECT * FROM categories1SELECT * FROM categories

/opt/clerks-staging/docroot/libraries/adodb5/adodb.inc.php 1899 CacheExecute() parseRedundantQueriesCache()

select * from categories_software order by name asc1select * from categories_software order by name asc

/opt/clerks-staging/docroot/libraries/adodb5/adodb.inc.php 1899 CacheExecute() insert_GetSoftwareCategories()

select * from categories_wanttobuy order by name asc1select * from categories_wanttobuy order by name asc

/opt/clerks-staging/docroot/libraries/adodb5/adodb.inc.php 1899 CacheExecute() insert_get_wantcategories()

select * from categories_wanttotrade order by name asc1select * from categories_wanttotrade order by name asc

/opt/clerks-staging/docroot/libraries/adodb5/adodb.inc.php 1899 CacheExecute() insert_get_tradecategories()

SELECT * FROM seoclerks.members WHERE USERID='25957'1SELECT profile_data FROM seoclerks.members WHERE USERID='25957'

/opt/clerks-staging/docroot/include/functions/main.php 1927 getUserBackground() include()

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Expensive SQL

Tuning the following SQL could reduce the server load substantially
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Suspicious SQL

The following SQL have high average execution times
Avg TimeCountSQLMaxMin
0.1002851SELECT A.wantid, A.title, A.p1, A.maxprice, B.name, B.seo FROM wanttobuy A, categories_wanttobuy B WHERE A.wantid != 2064 AND A.category=B.CATID AND A.active=1 AND (A.tags like '%Twitter API Followers%' ) LIMIT 40.1002850.100285